{"id":1352,"date":"2026-05-23T13:43:16","date_gmt":"2026-05-23T13:43:16","guid":{"rendered":"https:\/\/lean-app.com\/?p=1352"},"modified":"2026-09-05T10:53:39","modified_gmt":"2026-09-05T10:53:39","slug":"lean-vs-yazio","status":"publish","type":"post","link":"https:\/\/lean-app.com\/no\/lean-vs-yazio\/","title":{"rendered":"Lean mot Yazio: hvem beregner egentlig kaloriforbruket ditt i 2026?"},"content":{"rendered":"<link rel=\"preload\" as=\"image\" href=\"https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-screen_depense.webp\" fetchpriority=\"low\">\n<link rel=\"preload\" as=\"image\" href=\"https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-screen_bilan.webp\" fetchpriority=\"low\">\n<link rel=\"preload\" as=\"image\" href=\"https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-screen_kcal.webp\" fetchpriority=\"low\">\n<link rel=\"preload\" as=\"image\" href=\"https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-screen_strategie.webp\" fetchpriority=\"low\">\n<link rel=\"preload\" as=\"image\" href=\"https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-screen_BMR.webp\" fetchpriority=\"low\">\n<link rel=\"preload\" as=\"image\" href=\"https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-screen_NEAT.webp\" fetchpriority=\"low\">\n<link rel=\"preload\" as=\"image\" href=\"https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-screen_EAT.webp\" fetchpriority=\"low\">\n<link rel=\"preload\" as=\"image\" href=\"https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-screen_TEF.webp\" fetchpriority=\"low\">\n<script data-wpmeteor-nooptimize=\"true\" src=\"https:\/\/cdn.jsdelivr.net\/npm\/chart.js@4.4.4\/dist\/chart.umd.min.js\"><\/script>\n<script data-wpmeteor-nooptimize=\"true\" src=\"https:\/\/cdn.jsdelivr.net\/npm\/chartjs-plugin-annotation@3.1.0\/dist\/chartjs-plugin-annotation.min.js\"><\/script>\n<style id=\"lvm-shell-styles\">#lvm-shell{\n  --bg:#FFFFFF; --paper:#F7F6F2; --paper-2:#F1EFE7;\n  --ink:#0E0E10; --ink-2:#1D1D1F; --muted:#6E6E73; --dim:#86868B;\n  --rule:#E8E6DF; --rule-soft:#EFEDE5;\n  --pink:#FF2D6E; --pink-soft:rgba(255,45,110,0.06);\n  --mfp:#A8A192;\n  --green:#0F8F5C; --red:#D02E2E; --amber:#C8A019;\n  --font-display:-apple-system,\"SF Pro Display\",system-ui,\"Helvetica Neue\",sans-serif;\n  --font-text:-apple-system,\"SF Pro Text\",system-ui,sans-serif;\n  --font-mono:ui-monospace,\"SF Mono\",Menlo,Consolas,monospace;\n}\n#lvm-shell *{box-sizing:border-box;-webkit-text-size-adjust:100%}\n#lvm-shell, #lvm-shell{margin:0;padding:0;background:var(--bg);color:var(--ink-2);font-family:var(--font-text);font-size:17px;line-height:1.7;-webkit-font-smoothing:antialiased}\n#lvm-shell ::selection{background:rgba(255,45,110,0.18);color:var(--ink)}\n#lvm-shell img{max-width:100%;display:block}\n#lvm-shell a{color:inherit}\n\n#lvm-shell .progress{position:fixed;top:0;left:0;right:0;height:2px;background:transparent;z-index:1000}\n#lvm-shell .progress > i{display:block;height:100%;width:100%;background:var(--pink);transform-origin:0 50%;transform:scaleX(0);transition:transform .05s linear}\n\n#lvm-shell .nav{position:sticky;top:0;z-index:50;background:rgba(255,255,255,.86);backdrop-filter:saturate(180%) blur(14px);-webkit-backdrop-filter:saturate(180%) blur(14px);border-bottom:1px solid var(--rule)}\n#lvm-shell .nav-row{max-width:1160px;margin:0 auto;display:flex;align-items:center;gap:14px;padding:10px 22px}\n#lvm-shell .nav-brand{display:flex;align-items:center;gap:9px;text-decoration:none;color:var(--ink)}\n#lvm-shell .nav-brand img{width:28px;height:28px;border-radius:7px;object-fit:cover}\n#lvm-shell .nav-brand span{font-family:var(--font-display);font-weight:600;font-size:18px;letter-spacing:-.01em}\n#lvm-shell .nav-spacer{flex:1}\n#lvm-shell .nav-link{color:var(--muted);text-decoration:none;font-size:14px}\n#lvm-shell .nav-link:hover{color:var(--ink)}\n#lvm-shell .nav-stores{display:flex;gap:6px;align-items:center}\n#lvm-shell .nav-stores a{display:block;line-height:0}\n#lvm-shell .nav-stores img{height:28px;width:auto;border-radius:5px;transition:transform .15s}\n#lvm-shell .nav-stores a:hover img{transform:translateY(-1px)}\n\n#lvm-shell .wrap{max-width:760px;margin:0 auto;padding:0 28px}\n\n#lvm-shell .hero{padding:54px 0 0}\n#lvm-shell .crumb{font-size:13px;color:var(--muted);margin-bottom:18px}\n#lvm-shell .crumb a{text-decoration:none;color:var(--muted)}\n#lvm-shell .crumb a:hover{color:var(--ink)}\n#lvm-shell .eyebrow{font-family:var(--font-mono);font-size:12px;font-weight:500;text-transform:uppercase;letter-spacing:.06em;color:var(--pink);margin-bottom:18px}\n#lvm-shell h1{font-family:var(--font-display);font-weight:600;font-size:72px;line-height:1.0;letter-spacing:-.04em;color:var(--ink);margin:0 0 22px}\n#lvm-shell h1 .alt{display:block;font-weight:500;color:var(--muted);font-size:.66em;line-height:1.15;margin-top:14px;letter-spacing:-.03em}\n#lvm-shell .dek{font-family:var(--font-display);font-size:24px;line-height:1.4;font-weight:400;color:var(--ink-2);letter-spacing:-.015em;margin:0 0 22px;max-width:680px}\n\n#lvm-shell .byline{display:flex;align-items:center;gap:10px;font-size:14px;color:var(--muted);margin-bottom:14px}\n#lvm-shell .byline .by-logo{width:26px;height:26px;border-radius:6px;object-fit:cover;flex-shrink:0;background:transparent;border:0}\n#lvm-shell .byline strong{color:var(--ink);font-weight:600;font-family:var(--font-display)}\n\n#lvm-shell .hero-stores{display:flex;gap:10px;margin:22px 0 18px;flex-wrap:wrap;align-items:center}\n#lvm-shell .hero-stores a{display:block;line-height:0;transition:transform .15s}\n#lvm-shell .hero-stores a:hover{transform:translateY(-2px)}\n#lvm-shell .hero-stores img{height:46px;width:auto;border-radius:9px}\n#lvm-shell .hero-stores .or{font-size:13px;color:var(--muted)}\n\n#lvm-shell .hero-bottom{display:grid;grid-template-columns:1.3fr 1fr;gap:48px;align-items:center;margin:38px 0 60px;padding-top:28px;border-top:1px solid var(--rule-soft)}\n#lvm-shell .hero-lead{font-family:var(--font-display);font-size:21px;line-height:1.5;color:var(--ink-2);font-weight:400}\n\n#lvm-shell .phone-wrap{display:flex;justify-content:center}\n#lvm-shell .phone{\n  position:relative;\n  width:280px;\n  background:linear-gradient(145deg,#2a2a2a,#0e0e0e);\n  border-radius:42px;\n  padding:5px;\n  border:1.5px solid rgba(255,255,255,.07);\n  box-shadow:0 30px 60px rgba(0,0,0,.18), 0 2px 6px rgba(0,0,0,.08);\n}\n#lvm-shell .phone .notch{\n  position:absolute;top:0;left:50%;transform:translateX(-50%);\n  width:96px;height:24px;background:#0a0a0a;border-radius:0 0 16px 16px;z-index:10;\n}\n#lvm-shell .phone-screen{\n  position:relative;\n  border-radius:34px;overflow:hidden;\n  background:#FAF0E6;\n  aspect-ratio:9\/19.5;\n}\n#lvm-shell .phone-screen img{\n  width:100%;height:100%;object-fit:cover;display:block;\n  transition:opacity .28s ease;\n}\n#lvm-shell .phone-zones{position:absolute;inset:0;z-index:15;pointer-events:none}\n#lvm-shell .phone-zones .z{position:absolute;left:4%;right:4%;cursor:pointer;background:transparent;border:0;padding:0;pointer-events:auto}\n#lvm-shell .phone-zones .z:focus-visible{outline:2px solid var(--pink);outline-offset:-4px;border-radius:6px}\n#lvm-shell .phone-navbar{position:absolute;left:0;right:0;bottom:0;height:9%;z-index:16;display:grid;grid-template-columns:repeat(4,1fr)}\n#lvm-shell .phone-navbar button{background:transparent;border:0;padding:0;cursor:pointer}\n#lvm-shell .phone-navbar button:focus-visible{outline:2px solid var(--pink);outline-offset:-3px;border-radius:6px}\n#lvm-shell .phone-back{\n  position:absolute;top:10px;left:10px;z-index:20;\n  width:30px;height:30px;border-radius:50%;\n  border:0;background:rgba(255,255,255,.78);backdrop-filter:blur(8px);\n  color:var(--ink);font-size:18px;font-weight:600;line-height:1;cursor:pointer;\n  display:none;align-items:center;justify-content:center;\n  box-shadow:0 2px 6px rgba(0,0,0,.12);\n}\n#lvm-shell .phone-back.on{display:flex}\n\n#lvm-shell .phone-cap{margin-top:14px;text-align:center;font-size:12px;color:var(--muted);font-family:var(--font-mono);text-transform:uppercase;letter-spacing:.06em}\n#lvm-shell .phone-stage{position:relative}\n#lvm-shell .tap-hint{position:absolute;z-index:30;pointer-events:none;animation:hintFloat 2.6s ease-in-out infinite}\n#lvm-shell .tap-hint .th-pill{display:inline-block;font-family:var(--font-display);font-size:15px;font-weight:600;color:#fff;line-height:1.25;letter-spacing:-.005em;background:var(--pink);padding:10px 16px;border-radius:14px;box-shadow:0 14px 32px rgba(255,45,110,.32);white-space:nowrap}\n#lvm-shell .tap-hint .th-pill small{display:block;font-size:11px;font-weight:500;color:rgba(255,255,255,.85);text-transform:uppercase;letter-spacing:.08em;margin-bottom:3px}\n#lvm-shell .tap-hint .th-arrow{position:absolute;color:var(--pink)}\n#lvm-shell .tap-hint.desktop{left:-204px;top:4px;text-align:right}\n#lvm-shell .tap-hint.desktop .th-arrow{right:-86px;top:58px;width:104px;height:34px;transform:none}\n#lvm-shell .tap-hint.mobile{display:none}\n#lvm-shell .tap-hint.hidden{opacity:0;transform:translateY(-6px);transition:opacity .35s ease, transform .35s ease;animation:none}\n@keyframes hintFloat{\n  0%, 100%{transform:translateY(0)}\n  50%{transform:translateY(-7px)}\n}\n@media (prefers-reduced-motion:reduce){#lvm-shell .tap-hint{animation:none}}\n#lvm-shell .phone-tabs{display:flex;justify-content:center;gap:8px;margin-top:10px;flex-wrap:nowrap}\n#lvm-shell .phone-tabs button{\n  background:transparent;border:1px solid var(--rule);color:var(--muted);\n  padding:6px 11px;border-radius:999px;font-size:11px;cursor:pointer;\n  font-family:var(--font-text);transition:all .15s;white-space:nowrap;\n}\n#lvm-shell .phone-tabs button:hover{color:var(--ink);border-color:var(--ink)}\n#lvm-shell .phone-tabs button.on{background:var(--ink);color:#fff;border-color:var(--ink)}\n\n#lvm-shell .snippet{background:var(--paper);border-radius:18px;padding:30px 32px;margin:48px 0 0;border:1px solid var(--rule-soft)}\n#lvm-shell .snippet .lbl{font-family:var(--font-mono);font-size:11px;font-weight:500;text-transform:uppercase;letter-spacing:.08em;color:var(--muted);margin-bottom:14px}\n#lvm-shell .snippet p{margin:0;font-family:var(--font-display);font-size:21px;line-height:1.45;color:var(--ink);font-weight:500;letter-spacing:-.012em}\n\n#lvm-shell section{padding:64px 0;border-bottom:1px solid var(--rule-soft)}\n#lvm-shell section:last-of-type{border-bottom:0}\n#lvm-shell .section-label{display:flex;align-items:center;gap:14px;margin-bottom:30px}\n#lvm-shell .section-label .bar{width:24px;height:1px;background:var(--pink)}\n#lvm-shell .section-label .num{font-family:var(--font-mono);font-size:12px;font-weight:500;text-transform:uppercase;letter-spacing:.06em;color:var(--pink)}\n#lvm-shell h2{font-family:var(--font-display);font-weight:600;font-size:48px;line-height:1.05;letter-spacing:-.035em;color:var(--ink);margin:0 0 24px}\n#lvm-shell h3{font-family:var(--font-display);font-weight:600;font-size:32px;line-height:1.15;letter-spacing:-.025em;color:var(--ink);margin:36px 0 16px}\n#lvm-shell h4{font-family:var(--font-display);font-weight:500;font-size:20px;line-height:1.3;letter-spacing:-.015em;color:var(--ink);margin:24px 0 10px}\n#lvm-shell p{margin:0 0 22px;color:var(--ink-2)}\n#lvm-shell strong{color:var(--ink);font-weight:600}\n#lvm-shell ul, #lvm-shell ol{margin:0 0 22px;padding-left:22px;color:var(--ink-2)}\n#lvm-shell li{margin-bottom:8px}\n#lvm-shell a.inline{color:var(--pink);text-decoration:underline;text-decoration-thickness:1px;text-underline-offset:3px}\n#lvm-shell a.inline:hover{text-decoration-thickness:2px}\n\n#lvm-shell .statement{margin:48px 0;padding:32px 0;border-top:1px solid var(--rule);border-bottom:1px solid var(--rule);text-align:left}\n#lvm-shell .statement .num{font-family:var(--font-display);font-size:60px;font-weight:600;line-height:1;letter-spacing:-.04em;color:var(--pink);margin-bottom:14px}\n#lvm-shell .statement .lbl{font-family:var(--font-display);font-size:23px;line-height:1.35;font-weight:500;color:var(--ink);letter-spacing:-.012em}\n\n#lvm-shell .fig{margin:32px 0 18px;background:#fff;border:1px solid var(--rule);border-radius:20px;padding:28px 22px 20px;position:relative;overflow:hidden}\n#lvm-shell .fig-head{display:flex;justify-content:space-between;align-items:baseline;margin-bottom:18px}\n#lvm-shell .fig-head .l{font-family:var(--font-mono);font-size:11px;font-weight:500;text-transform:uppercase;letter-spacing:.08em;color:var(--muted)}\n#lvm-shell .fig-head .r{font-family:var(--font-mono);font-size:11px;font-weight:600;color:var(--ink);text-transform:uppercase;letter-spacing:.08em}\n#lvm-shell .fig-body{position:relative}\n#lvm-shell .fig-cap{margin:18px 4px 0;font-size:14px;color:var(--muted);line-height:1.5}\n#lvm-shell .fig-cap strong{color:var(--ink);font-weight:600}\n#lvm-shell .cv-wrap{position:relative;height:360px}\n\n#lvm-shell [data-term]{position:relative;cursor:help;border-bottom:1px dotted var(--dim)}\n#lvm-shell [data-term]:hover{color:var(--ink)}\n#lvm-shell .tt{position:absolute;left:50%;bottom:calc(100% + 12px);transform:translateX(-50%);min-width:200px;max-width:300px;background:#0c0c0c;color:#fff;font-size:13px;line-height:1.45;padding:11px 14px;border-radius:10px;box-shadow:0 12px 36px rgba(0,0,0,.32);opacity:0;visibility:hidden;transition:opacity .15s, visibility .15s;z-index:120;pointer-events:none;font-weight:400;font-family:var(--font-text)}\n#lvm-shell .tt::after{content:\"\";position:absolute;top:100%;left:50%;transform:translateX(-50%);border:6px solid transparent;border-top-color:#0c0c0c}\n#lvm-shell [data-term]:hover .tt, #lvm-shell [data-term]:focus .tt{opacity:1;visibility:visible}\n\n#lvm-shell .table{margin:24px 0;border:1px solid var(--rule);border-radius:16px;overflow:hidden;background:#fff}\n#lvm-shell .table-row{display:grid;grid-template-columns:1.55fr 1fr 1fr;border-bottom:1px solid var(--rule-soft);min-height:60px}\n#lvm-shell .table-row:last-child{border-bottom:0}\n#lvm-shell .table-row.head{background:var(--ink);color:#fff;border-bottom:0}\n#lvm-shell .table-row.head > div{padding:18px 18px;display:flex;align-items:center;gap:10px;font-family:var(--font-mono);font-size:11px;font-weight:500;text-transform:uppercase;letter-spacing:.07em}\n#lvm-shell .table-row.head .brand-cell{justify-content:flex-start}\n#lvm-shell .table-row.head .brand-cell img{width:24px;height:24px;border-radius:6px;background:#fff;object-fit:cover}\n#lvm-shell .table-row.head .brand-cell.lean{color:#FFB8CE}\n#lvm-shell .table-row > .crit{padding:16px 18px;font-size:14px;color:var(--ink);font-weight:500;display:flex;align-items:center;border-right:1px solid var(--rule-soft)}\n#lvm-shell .table-row > .cell{padding:16px 14px;font-size:13px;line-height:1.45;color:var(--ink-2);display:flex;align-items:center;gap:10px;border-right:1px solid var(--rule-soft)}\n#lvm-shell .table-row > .cell:last-child{border-right:0}\n#lvm-shell .table-row > .cell.lean{background:var(--pink-soft);position:relative}\n#lvm-shell .table-row > .cell.lean::before{content:\"\";position:absolute;left:0;top:0;bottom:0;width:2px;background:var(--pink)}\n#lvm-shell .icn{width:18px;height:18px;border-radius:50%;display:inline-flex;align-items:center;justify-content:center;flex-shrink:0;font-size:13px;font-weight:600;color:#fff}\n#lvm-shell .icn.ok{background:var(--green)}\n#lvm-shell .icn.no{background:var(--red)}\n#lvm-shell .icn.mid{background:var(--amber)}\n#lvm-shell .icn svg{width:11px;height:11px}\n\n#lvm-shell .mini-row{display:grid;grid-template-columns:repeat(3,1fr);gap:22px;margin:28px 0}\n#lvm-shell .mini-phone{position:relative;background:linear-gradient(145deg,#2a2a2a,#0e0e0e);border-radius:22px;padding:3px;border:1px solid rgba(255,255,255,.05);box-shadow:0 14px 32px rgba(0,0,0,.16);max-width:160px;margin:0 auto;width:100%}\n#lvm-shell .mini-phone .notch{position:absolute;top:0;left:50%;transform:translateX(-50%);width:40px;height:11px;background:#0a0a0a;border-radius:0 0 7px 7px;z-index:5}\n#lvm-shell .mini-phone .scr{border-radius:18px;overflow:hidden;background:#FAF0E6;aspect-ratio:9\/19.5}\n#lvm-shell .mini-phone .scr img{width:100%;height:100%;object-fit:cover}\n#lvm-shell .mini-phone.tiny{max-width:148px;padding:2px;border-radius:20px;border-width:1px}\n#lvm-shell .mini-phone.tiny .notch{width:30px;height:8px;border-radius:0 0 5px 5px}\n#lvm-shell .mini-phone.tiny .scr{border-radius:17px}\n#lvm-shell .mini-cap{text-align:center;margin-top:12px;font-family:var(--font-mono);font-size:11px;text-transform:uppercase;letter-spacing:.07em;color:var(--muted)}\n#lvm-shell .mini-cap strong{display:block;color:var(--ink);margin-top:4px;font-family:var(--font-display);font-size:14px;font-weight:500;letter-spacing:-.01em;text-transform:none}\n\n#lvm-shell .duo-row{display:grid;grid-template-columns:repeat(2,1fr);gap:20px;margin:18px 0 0}\n#lvm-shell .duo-row .mini-phone{max-width:180px}\n\n#lvm-shell .method{display:grid;grid-template-columns:1fr 1.4fr;gap:36px;align-items:center;margin:42px 0}\n#lvm-shell .method.flip{grid-template-columns:1.4fr 1fr}\n#lvm-shell .method.flip .m-phone{order:2}\n#lvm-shell .method .m-tag{font-family:var(--font-mono);font-size:11px;font-weight:600;text-transform:uppercase;letter-spacing:.08em;color:var(--pink);margin-bottom:8px}\n#lvm-shell .method h3{margin-top:0}\n#lvm-shell .method p{font-size:16px;color:var(--muted);line-height:1.7}\n\n#lvm-shell .cta-band{margin:40px 0;padding:26px 28px;background:var(--paper);border-radius:16px;display:flex;align-items:center;justify-content:space-between;gap:20px;flex-wrap:wrap;border:1px solid var(--rule-soft)}\n#lvm-shell .cta-band .l{font-family:var(--font-display);font-size:18px;line-height:1.35;font-weight:500;color:var(--ink);flex:1;min-width:240px;letter-spacing:-.01em}\n#lvm-shell .cta-band .stores{display:flex;gap:10px;align-items:center}\n#lvm-shell .cta-band .stores a{line-height:0;transition:transform .15s}\n#lvm-shell .cta-band .stores a:hover{transform:translateY(-2px)}\n#lvm-shell .cta-band .stores img{height:42px;width:auto;border-radius:9px}\n\n#lvm-shell .pyramid{margin:30px auto;max-width:440px}\n#lvm-shell .pyramid .level{margin:6px auto;padding:13px 18px;border-radius:14px;color:#fff;font-family:var(--font-display);font-weight:500;font-size:15px;letter-spacing:-.01em;display:flex;justify-content:space-between;align-items:center;box-shadow:0 6px 18px rgba(0,0,0,.06)}\n#lvm-shell .pyramid .level .k{font-family:var(--font-mono);font-size:10px;text-transform:uppercase;letter-spacing:.08em;opacity:.75}\n#lvm-shell .pyramid .l1{background:#0E0E10;width:100%}\n#lvm-shell .pyramid .l2{background:#1D1D1F;width:84%}\n#lvm-shell .pyramid .l3{background:#3a3a3c;width:68%}\n#lvm-shell .pyramid .l4{background:var(--pink);width:52%}\n#lvm-shell .pyramid-cap{text-align:center;font-size:13px;color:var(--muted);margin-top:14px}\n\n\/* Section 7 honnetete : scorecard horizontal bars *\/\n#lvm-shell .scorecard{margin:30px 0 10px;border:1px solid var(--rule);border-radius:20px;padding:28px 26px;background:#fff}\n#lvm-shell .scorecard-head{display:grid;grid-template-columns:1.4fr 1fr 1fr;column-gap:28px;align-items:center;padding-bottom:18px;margin-bottom:8px;border-bottom:1px solid var(--rule-soft)}\n#lvm-shell .scorecard-head .h-crit{font-family:var(--font-mono);font-size:11px;font-weight:500;text-transform:uppercase;letter-spacing:.08em;color:var(--muted)}\n#lvm-shell .scorecard-head .h-brand{display:flex;align-items:center;gap:8px;font-family:var(--font-display);font-size:14px;font-weight:600;color:var(--ink)}\n#lvm-shell .scorecard-head .h-brand img{width:22px;height:22px;border-radius:5px;object-fit:cover}\n#lvm-shell .scorecard-row{display:grid;grid-template-columns:1.4fr 1fr 1fr;column-gap:28px;align-items:center;padding:14px 0;border-bottom:1px solid var(--rule-soft)}\n#lvm-shell .scorecard-row:last-child{border-bottom:0}\n#lvm-shell .scorecard-row .crit{font-size:14px;color:var(--ink);font-weight:500;padding-right:14px}\n#lvm-shell .scorecard-row .bar{display:flex;flex-direction:row-reverse;align-items:center;gap:10px}\n#lvm-shell .scorecard-row .bar .b{flex:1;height:8px;border-radius:99px;background:var(--rule-soft);overflow:hidden;position:relative}\n#lvm-shell .scorecard-row .bar .b > i{display:block;height:100%;border-radius:99px;transition:width 1s cubic-bezier(.22,.61,.36,1)}\n#lvm-shell .scorecard-row .bar.lean .b > i{background:var(--pink)}\n#lvm-shell .scorecard-row .bar.mfp .b > i{background:var(--mfp)}\n#lvm-shell .scorecard-row .bar .v{font-family:var(--font-mono);font-size:12px;font-weight:600;color:var(--ink);min-width:32px;text-align:left}\n\n\/* Section 8 pour qui : persona checklist *\/\n#lvm-shell .persona{margin:28px 0 10px;display:grid;grid-template-columns:1fr;gap:14px}\n#lvm-shell .persona-it{display:grid;grid-template-columns:54px 1fr;gap:16px;padding:22px 24px;background:#fff;border:1px solid var(--rule);border-radius:18px;align-items:center}\n#lvm-shell .persona-it.match{background:var(--pink-soft);border-color:rgba(255,45,110,.25)}\n#lvm-shell .persona-it .pic{width:54px;height:54px;border-radius:50%;display:flex;align-items:center;justify-content:center;background:var(--rule-soft);position:relative;font-family:var(--font-mono);font-size:13px;font-weight:600;color:var(--ink)}\n#lvm-shell .persona-it.match .pic{background:var(--pink);color:#fff}\n#lvm-shell .persona-it .pic svg{width:24px;height:24px}\n#lvm-shell .persona-it h4{margin:0 0 4px;font-size:17px;letter-spacing:-.01em}\n#lvm-shell .persona-it p{margin:0;font-size:14px;color:var(--muted);line-height:1.55}\n#lvm-shell .persona-it.match h4{color:var(--ink)}\n\n\/* Section 9 migration : timeline steps *\/\n#lvm-shell .steps{display:grid;grid-template-columns:repeat(5,1fr);gap:14px;margin:28px 0;position:relative}\n#lvm-shell .steps::before{content:\"\";position:absolute;top:14px;left:7px;right:calc(20% - 18px);height:1px;background:linear-gradient(90deg,var(--pink) 0%,var(--rule-soft) 100%);z-index:0}\n#lvm-shell .step{position:relative;padding-top:24px;z-index:1}\n#lvm-shell .step::before{content:\"\";position:absolute;top:8px;left:0;width:14px;height:14px;border-radius:50%;background:var(--pink);border:3px solid #fff;box-shadow:0 0 0 1px var(--rule)}\n#lvm-shell .step .sn{font-family:var(--font-mono);font-size:11px;color:var(--pink);font-weight:600;letter-spacing:.08em}\n#lvm-shell .step h4{margin:6px 0 6px;font-size:15px;letter-spacing:-.01em}\n#lvm-shell .step p{font-size:13px;color:var(--muted);line-height:1.5;margin:0}\n\n\/* Section 10 debloque : feature stack numbered XL *\/\n#lvm-shell .feat-stack{margin:30px 0 10px;border-top:1px solid var(--rule)}\n#lvm-shell .feat-it{display:grid;grid-template-columns:auto 1fr auto;gap:24px;padding:26px 0;border-bottom:1px solid var(--rule);align-items:center}\n#lvm-shell .feat-it .fn{font-family:var(--font-display);font-size:48px;font-weight:600;color:var(--pink);line-height:1;letter-spacing:-.04em;width:74px}\n#lvm-shell .feat-it .ft{font-family:var(--font-display);font-size:22px;font-weight:600;color:var(--ink);letter-spacing:-.015em;line-height:1.25;margin-bottom:6px}\n#lvm-shell .feat-it .fd{font-size:15px;color:var(--muted);line-height:1.55;margin:0}\n#lvm-shell .feat-it .fc{font-family:var(--font-mono);font-size:11px;text-transform:uppercase;letter-spacing:.08em;color:var(--muted);font-weight:500}\n#lvm-shell .feat-it:last-child{border-bottom:0}\n\n#lvm-shell .faq{margin:22px 0}\n#lvm-shell .faq details{border-bottom:1px solid var(--rule);padding:20px 0}\n#lvm-shell .faq details:first-of-type{border-top:1px solid var(--rule)}\n#lvm-shell .faq summary{cursor:pointer;list-style:none;display:flex;justify-content:space-between;align-items:center;gap:18px;font-family:var(--font-display);font-size:20px;font-weight:500;letter-spacing:-.015em;color:var(--ink)}\n#lvm-shell .faq summary::-webkit-details-marker{display:none}\n#lvm-shell .faq summary::after{content:\"+\";font-size:24px;color:var(--muted);font-weight:300;line-height:1;transition:transform .25s, color .25s}\n#lvm-shell .faq details[open] summary::after{transform:rotate(45deg);color:var(--pink)}\n#lvm-shell .faq details[open] summary{color:var(--pink)}\n#lvm-shell .faq .ans{margin-top:14px;font-size:16px;color:var(--muted);line-height:1.65}\n\n#lvm-shell .get-band{background:var(--paper-2);border-radius:24px;padding:48px 36px;margin:60px 0 40px;text-align:center}\n#lvm-shell .get-band .kicker{font-family:var(--font-mono);font-size:11px;text-transform:uppercase;color:var(--pink);font-weight:600;letter-spacing:.1em;margin-bottom:14px}\n#lvm-shell .get-band h3{font-size:36px;margin:0 0 14px;letter-spacing:-.025em}\n#lvm-shell .get-band p{font-size:16px;color:var(--muted);max-width:480px;margin:0 auto 26px}\n#lvm-shell .get-band .stores{display:flex;justify-content:center;gap:14px;flex-wrap:wrap}\n#lvm-shell .get-band .stores a{line-height:0;transition:transform .15s}\n#lvm-shell .get-band .stores a:hover{transform:translateY(-3px)}\n#lvm-shell .get-band .stores img{height:60px;width:auto;border-radius:11px}\n\n#lvm-shell .sources{font-size:14px;color:var(--muted);line-height:1.7}\n#lvm-shell .sources ol{padding-left:22px}\n#lvm-shell .sources li{margin-bottom:8px}\n\n#lvm-shell footer{padding:50px 0 60px;border-top:1px solid var(--rule);margin-top:40px}\n#lvm-shell footer .row{display:flex;justify-content:space-between;align-items:center;gap:18px;flex-wrap:wrap}\n#lvm-shell footer .kicker{font-family:var(--font-mono);font-size:11px;text-transform:uppercase;letter-spacing:.08em;color:var(--pink);font-weight:600}\n#lvm-shell footer p{font-size:13px;color:var(--muted);margin:8px 0 0}\n#lvm-shell footer .stores{display:flex;gap:8px}\n#lvm-shell footer .stores img{height:34px;width:auto;border-radius:6px}\n\n#lvm-shell .rev{opacity:0;transform:translateY(12px);transition:opacity .8s cubic-bezier(.22,.61,.36,1),transform .8s cubic-bezier(.22,.61,.36,1)}\n#lvm-shell .rev.on{opacity:1;transform:translateY(0)}\n@media (prefers-reduced-motion:reduce){#lvm-shell .rev{transition:none;opacity:1;transform:none}}\n\n@media (max-width:760px){\n  #lvm-shell .nav-row{padding:8px 18px;gap:8px}\n  #lvm-shell .nav-link{display:none}\n  #lvm-shell .nav-stores img{height:24px}\n  #lvm-shell .wrap{padding:0 22px}\n  #lvm-shell .hero{padding:34px 0 0}\n  #lvm-shell h1{font-size:46px;letter-spacing:-.035em}\n  #lvm-shell h1 .alt{font-size:.55em;margin-top:10px}\n  #lvm-shell .dek{font-size:20px}\n  #lvm-shell .hero-stores img{height:42px}\n  #lvm-shell .hero-bottom{grid-template-columns:1fr;gap:28px;margin:30px 0 40px;padding-top:24px;align-items:stretch}\n  #lvm-shell .phone-wrap{order:-1}\n  #lvm-shell .phone{width:240px}\n  #lvm-shell .tap-hint.desktop{display:none}\n  #lvm-shell .tap-hint.mobile{display:block;position:relative;left:auto;top:auto;text-align:center;margin:0 auto 10px;width:100%}\n  #lvm-shell .tap-hint.mobile .th-arrow{position:relative;display:block;margin:6px auto 0;width:34px;height:34px;transform:none;color:var(--pink)}\n  #lvm-shell .snippet{padding:24px 22px}\n  #lvm-shell .snippet p{font-size:18px}\n  #lvm-shell section{padding:48px 0}\n  #lvm-shell h2{font-size:34px;letter-spacing:-.03em}\n  #lvm-shell h3{font-size:24px}\n  #lvm-shell .section-label{margin-bottom:22px}\n  #lvm-shell .statement{padding:24px 0;margin:32px 0}\n  #lvm-shell .statement .num{font-size:44px}\n  #lvm-shell .statement .lbl{font-size:19px}\n  #lvm-shell .fig{padding:20px 14px 14px;border-radius:16px}\n  #lvm-shell .cv-wrap{height:310px}\n  #lvm-shell .method{grid-template-columns:1fr;gap:20px}\n  #lvm-shell .method.flip{grid-template-columns:1fr}\n  #lvm-shell .method.flip .m-phone{order:0}\n  #lvm-shell .mini-row{grid-template-columns:repeat(3,1fr);gap:10px}\n  #lvm-shell .mini-phone{padding:3px;border-radius:18px;border-width:1px;max-width:110px}\n  #lvm-shell .mini-phone .notch{width:42px;height:11px;border-radius:0 0 8px 8px}\n  #lvm-shell .mini-phone .scr{border-radius:15px}\n  #lvm-shell .mini-cap{font-size:10px}\n  #lvm-shell .mini-cap strong{font-size:13px}\n  #lvm-shell .duo-row{grid-template-columns:repeat(2,1fr);gap:12px}\n  #lvm-shell .duo-row .mini-phone{max-width:130px}\n  #lvm-shell .steps{grid-template-columns:1fr;gap:18px}\n  #lvm-shell .steps::before{display:none}\n  #lvm-shell .step{padding-top:0;padding-left:24px}\n  #lvm-shell .step::before{top:6px;left:0}\n  #lvm-shell .table-row{grid-template-columns:1.4fr .9fr .9fr}\n  #lvm-shell .table-row > .crit{padding:13px 12px;font-size:13px}\n  #lvm-shell .table-row > .cell{padding:13px 10px;font-size:12px;gap:8px}\n  #lvm-shell .table-row.head > div{padding:14px 12px;font-size:10px;gap:7px}\n  #lvm-shell .table-row.head .brand-cell img{width:20px;height:20px}\n  #lvm-shell .get-band{padding:36px 22px;border-radius:18px;margin:40px 0 30px}\n  #lvm-shell .get-band h3{font-size:28px}\n  #lvm-shell .get-band .stores img{height:50px}\n  #lvm-shell .cta-band{padding:22px;gap:14px}\n  #lvm-shell .cta-band .l{font-size:16px;min-width:0}\n  #lvm-shell .cta-band .stores img{height:38px}\n  #lvm-shell .faq summary{font-size:18px;gap:14px}\n  #lvm-shell .pyramid{max-width:100%}\n  #lvm-shell .pyramid .level{padding:11px 14px;font-size:14px}\n  #lvm-shell .scorecard{padding:20px 16px;border-radius:16px}\n  #lvm-shell .scorecard-head{grid-template-columns:1.2fr 1fr 1fr;column-gap:14px}\n  #lvm-shell .scorecard-head .h-brand{font-size:12px;gap:5px}\n  #lvm-shell .scorecard-head .h-brand img{width:18px;height:18px}\n  #lvm-shell .scorecard-row{grid-template-columns:1.2fr 1fr 1fr;column-gap:14px;padding:12px 0}\n  #lvm-shell .scorecard-row .crit{font-size:13px;padding-right:8px}\n  #lvm-shell .scorecard-row .bar{gap:6px}\n  #lvm-shell .scorecard-row .bar .v{font-size:11px;min-width:26px}\n  #lvm-shell .persona-it{grid-template-columns:44px 1fr;gap:12px;padding:16px 16px;border-radius:14px}\n  #lvm-shell .persona-it .pic{width:44px;height:44px;font-size:12px}\n  #lvm-shell .persona-it h4{font-size:15px}\n  #lvm-shell .persona-it p{font-size:13px}\n  #lvm-shell .feat-it{grid-template-columns:auto 1fr;gap:14px;padding:20px 0}\n  #lvm-shell .feat-it .fn{font-size:36px;width:54px}\n  #lvm-shell .feat-it .ft{font-size:18px}\n  #lvm-shell .feat-it .fd{font-size:13px}\n  #lvm-shell .feat-it .fc{display:none}\n}\n@media (max-width:480px){\n  #lvm-shell .phone-tabs{gap:5px}\n  #lvm-shell .phone-tabs button{padding:5px 8px;font-size:10px}\n  #lvm-shell .nav-stores{gap:4px}\n  #lvm-shell .nav-stores img{height:22px}\n  #lvm-shell .hero-stores img{height:40px}\n  #lvm-shell .crumb{font-size:12px}\n  #lvm-shell .table-row{grid-template-columns:1.3fr .85fr .85fr}\n  #lvm-shell .table-row > .crit{padding:11px 9px;font-size:12px}\n  #lvm-shell .table-row > .cell{padding:11px 8px;font-size:11px;gap:6px}\n  #lvm-shell .table-row.head > div{padding:11px 9px;font-size:9px;gap:5px}\n}<\/style>\n\n<style id=\"lvm-collision-reset\">\n\/* Hard reset for global theme styles that collide with our content *\/\nbody.postid-1352 #lvm-shell .hero{display:block!important;align-items:initial!important;justify-content:initial!important;text-align:left!important;flex-direction:initial!important;padding:54px 0 0!important}\nbody.postid-1352 #lvm-shell .wrap,\nbody.postid-1352 #lvm-shell main.wrap{display:block!important;max-width:760px!important;margin-left:auto!important;margin-right:auto!important;padding-left:28px!important;padding-right:28px!important}\n@media (max-width:820px){\n  body.postid-1352 #lvm-shell .wrap,\n  body.postid-1352 #lvm-shell main.wrap{padding-left:18px!important;padding-right:18px!important}\n}\nhtml, body{overflow-x:hidden!important}\nbody.postid-1352 #lvm-shell{overflow-x:hidden;max-width:100vw}\nbody.postid-1352 #lvm-shell *{max-width:100%}\nbody.postid-1352 #lvm-shell .nav-row{max-width:100vw;box-sizing:border-box}\nbody.postid-1352 #lvm-shell.force-show .rev{opacity:1!important;transform:none!important}\n\n\/* === A.1 PHONE BACKGROUND CLASSES === *\/\nbody.postid-1352 #lvm-shell .phone-bg{position:absolute;inset:0;width:100%;height:100%;background-size:cover;background-position:center top;background-repeat:no-repeat;transition:opacity .28s ease;background-color:#FAF0E6}\nbody.postid-1352 #lvm-shell .phone-bg.tab-depense{background-image:url(https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-screen_depense.webp)}\nbody.postid-1352 #lvm-shell .phone-bg.tab-bilan{background-image:url(https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-screen_bilan.webp)}\nbody.postid-1352 #lvm-shell .phone-bg.tab-kcal{background-image:url(https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-screen_kcal.webp)}\nbody.postid-1352 #lvm-shell .phone-bg.tab-strategie{background-image:url(https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-screen_strategie.webp)}\nbody.postid-1352 #lvm-shell .phone-bg.sub-BMR{background-image:url(https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-screen_BMR.webp)}\nbody.postid-1352 #lvm-shell .phone-bg.sub-NEAT{background-image:url(https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-screen_NEAT.webp)}\nbody.postid-1352 #lvm-shell .phone-bg.sub-EAT{background-image:url(https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-screen_EAT.webp)}\nbody.postid-1352 #lvm-shell .phone-bg.sub-TEF{background-image:url(https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-screen_TEF.webp)}\n\n\/* === v11.3 CTA BANDS MOBILE (badges plus gros + centrage) === *\/\n@media (max-width:760px){\n  body.postid-1352 #lvm-shell .cta-band{flex-direction:column!important;align-items:center!important;text-align:center!important;padding:26px 22px!important;gap:20px!important}\n  body.postid-1352 #lvm-shell .cta-band .l{min-width:0!important;width:100%!important;font-size:16px!important;line-height:1.5!important;text-align:center!important}\n  body.postid-1352 #lvm-shell .cta-band .stores{width:100%!important;justify-content:center!important;flex-wrap:nowrap!important;gap:10px!important}\n  body.postid-1352 #lvm-shell .cta-band .stores a{flex:1!important;max-width:170px!important;display:flex!important;justify-content:center!important}\n  body.postid-1352 #lvm-shell .cta-band .stores picture{width:100%!important;display:block!important}\n  body.postid-1352 #lvm-shell .cta-band .stores img{height:56px!important;width:100%!important;max-width:170px!important;object-fit:contain!important;object-position:center!important;border-radius:10px!important}\n  body.postid-1352 #lvm-shell .get-band{padding:38px 22px!important}\n  body.postid-1352 #lvm-shell .get-band .stores{justify-content:center!important;flex-wrap:nowrap!important;gap:10px!important}\n  body.postid-1352 #lvm-shell .get-band .stores a{flex:1!important;max-width:170px!important;display:flex!important;justify-content:center!important}\n  body.postid-1352 #lvm-shell .get-band .stores picture{width:100%!important;display:block!important}\n  body.postid-1352 #lvm-shell .get-band .stores img{height:56px!important;width:100%!important;max-width:170px!important;object-fit:contain!important;object-position:center!important;border-radius:10px!important}\n  body.postid-1352 #lvm-shell .get-band h3{font-size:26px!important;line-height:1.2!important}\n  body.postid-1352 #lvm-shell .get-band p{font-size:15px!important}\n}\n\n\/* === v11.2 BRAND BANNER above table responsive === *\/\n@media (max-width:760px){\n  body.postid-1352 #lvm-shell .brand-banner img{width:54px!important;height:54px!important}\n  body.postid-1352 #lvm-shell .brand-banner > div{padding:16px 12px!important;gap:8px!important}\n  body.postid-1352 #lvm-shell .brand-banner > div > div{font-size:15px!important}\n}\n\n\/* === v11.4 SCORECARD partie 7: redesign mobile === *\/\n@media (max-width:760px){\n  body.postid-1352 #lvm-shell .scorecard{padding:18px 16px!important;border-radius:16px!important}\n  body.postid-1352 #lvm-shell .scorecard-head{display:none!important}\n  body.postid-1352 #lvm-shell .scorecard-row{\n    display:block!important;\n    padding:14px 0!important;\n    border-bottom:1px solid #E8E2D6!important;\n  }\n  body.postid-1352 #lvm-shell .scorecard-row .crit{\n    display:block!important;\n    font-size:13px!important;\n    font-weight:600!important;\n    color:#0E0E10!important;\n    margin-bottom:10px!important;\n    padding-right:0!important;\n  }\n  body.postid-1352 #lvm-shell .scorecard-row .bar{\n    display:grid!important;\n    grid-template-columns:54px 1fr 32px!important;\n    column-gap:8px!important;\n    align-items:center!important;\n    padding:5px 0!important;\n    flex-direction:initial!important;\n    position:relative!important;\n  }\n  body.postid-1352 #lvm-shell .scorecard-row .bar::before{\n    content:attr(data-brand)!important;\n    font-family:-apple-system,'SF Pro Display',sans-serif!important;\n    font-size:11px!important;\n    font-weight:600!important;\n    text-transform:uppercase!important;\n    letter-spacing:.05em!important;\n    color:#0E0E10!important;\n  }\n  body.postid-1352 #lvm-shell .scorecard-row .bar.lean::before{color:#FF2D6E!important}\n  body.postid-1352 #lvm-shell .scorecard-row .bar.mfp::before{color:#5B7FFF!important}\n  body.postid-1352 #lvm-shell .scorecard-row .bar .b{\n    height:10px!important;\n    width:100%!important;\n    border-radius:99px!important;\n    position:relative!important;\n    background:#EFEAE0!important;\n    overflow:hidden!important;\n  }\n  body.postid-1352 #lvm-shell .scorecard-row .bar .b > i{\n    display:block!important;\n    height:100%!important;\n    border-radius:99px!important;\n  }\n  body.postid-1352 #lvm-shell .scorecard-row .bar .v{\n    font-family:-apple-system,'SF Pro Display',sans-serif!important;\n    font-size:12px!important;\n    font-weight:700!important;\n    color:#0E0E10!important;\n    min-width:0!important;\n    text-align:right!important;\n  }\n}\n\n\/* === A.2 CHARTS MOBILE === *\/\n@media (max-width:760px){\n  \/* v13: charts FULL WIDTH (less card padding) + plus hauts pour vraie respiration *\/\n  body.postid-1352 #lvm-shell .cv-wrap{height:380px!important;min-height:360px!important;max-height:420px!important;width:100%!important}\n  body.postid-1352 #lvm-shell .cv-wrap canvas{width:100%!important;height:100%!important;display:block!important}\n  body.postid-1352 #lvm-shell .fig{padding:16px 4px 14px!important;margin:24px -4px 14px!important;overflow:visible!important}\n  body.postid-1352 #lvm-shell .fig-head{padding:0 12px!important;flex-wrap:wrap!important;gap:6px!important;margin-bottom:10px!important}\n  body.postid-1352 #lvm-shell .fig-body{padding:0 2px!important}\n  body.postid-1352 #lvm-shell .fig-cap{padding:0 12px!important;font-size:13px!important;margin-top:10px!important}\n}\n@media (max-width:480px){\n  body.postid-1352 #lvm-shell .cv-wrap{height:360px!important;min-height:340px!important;max-height:380px!important}\n  body.postid-1352 #lvm-shell .fig{padding:14px 2px 12px!important;margin:20px -6px 12px!important;border-radius:14px!important}\n  body.postid-1352 #lvm-shell .fig-body{padding:0!important}\n}\n\n\/* === v11.2 TABLEAU MOBILE STACKED CARDS avec mini-tags Lean\/MFP === *\/\n@media (max-width:760px){\n  body.postid-1352 #lvm-shell .table{border-radius:14px!important}\n  body.postid-1352 #lvm-shell .table-row.head{display:none!important}\n  body.postid-1352 #lvm-shell .table-row{\n    display:grid!important;\n    grid-template-columns:1fr 1fr!important;\n    grid-template-areas:\"crit crit\" \"lean mfp\"!important;\n    gap:0!important;\n    min-height:0!important;\n  }\n  body.postid-1352 #lvm-shell .table-row > .crit{\n    grid-area:crit!important;background:#0E0E10!important;color:#fff!important;\n    padding:11px 14px!important;font-size:13px!important;font-weight:600!important;\n    letter-spacing:-0.1px!important;border-right:0!important;line-height:1.35!important;\n    font-family:-apple-system,BlinkMacSystemFont,'SF Pro Display',sans-serif!important;text-transform:none!important;\n  }\n  body.postid-1352 #lvm-shell .table-row > .cell.lean{\n    grid-area:lean!important;border-right:1px solid #E8E2D6!important;\n    position:relative!important;background:#FFF1F5!important;padding-top:30px!important;\n  }\n  body.postid-1352 #lvm-shell .table-row > .cell:not(.lean):not(.crit){\n    grid-area:mfp!important;background:#F5F5F7!important;padding-top:30px!important;\n    position:relative!important;\n  }\n  body.postid-1352 #lvm-shell .table-row > .cell.lean::before{\n    content:\"LEAN\"!important;position:absolute!important;top:8px!important;left:12px!important;\n    right:auto!important;bottom:auto!important;width:auto!important;height:auto!important;\n    background:transparent!important;\n    font-family:-apple-system,'SF Pro Display',sans-serif!important;\n    font-size:10px!important;font-weight:700!important;letter-spacing:.07em!important;\n    color:#FF2D6E!important;\n  }\n  body.postid-1352 #lvm-shell .table-row > .cell:not(.lean):not(.crit)::before{\n    content:\"YAZIO\"!important;position:absolute!important;top:8px!important;left:12px!important;\n    font-family:-apple-system,'SF Pro Display',sans-serif!important;\n    font-size:10px!important;font-weight:700!important;letter-spacing:.07em!important;\n    color:#02BB8C!important;\n  }\n  body.postid-1352 #lvm-shell .table-row > .cell{\n    padding:12px 12px!important;font-size:13px!important;line-height:1.4!important;\n    align-items:flex-start!important;gap:7px!important;\n  }\n  body.postid-1352 #lvm-shell .icn{flex-shrink:0!important;margin-top:1px!important}\n}\n\n\/* === A.5 MINI-LOGOS partie 7 (triplet NEAT\/EAT\/TEF) === *\/\n@media (max-width:760px){\n  body.postid-1352 #lvm-shell .mini-row{gap:6px!important;margin:24px 0!important;grid-template-columns:repeat(3,1fr)!important}\n  body.postid-1352 #lvm-shell .mini-phone{max-width:100px!important;padding:2px!important;border-radius:14px!important;border-width:1px!important}\n  body.postid-1352 #lvm-shell .mini-phone.tiny{max-width:96px!important;padding:2px!important;border-radius:13px!important}\n  body.postid-1352 #lvm-shell .mini-phone .notch{width:30px!important;height:8px!important;border-radius:0 0 5px 5px!important}\n  body.postid-1352 #lvm-shell .mini-phone .scr{border-radius:11px!important}\n  body.postid-1352 #lvm-shell .mini-cap{font-size:10px!important;margin-top:8px!important}\n  body.postid-1352 #lvm-shell .mini-cap strong{font-size:12px!important;margin-top:2px!important}\n}\n\n\/* === MOCKUP TAP HINT MOBILE === *\/\n@media (max-width:760px){\n  body.postid-1352 #lvm-shell .tap-hint.mobile{position:relative!important;width:100%!important;left:auto!important;top:auto!important;text-align:center!important;margin:0 auto 14px!important;display:block!important}\n  body.postid-1352 #lvm-shell .tap-hint.desktop{display:none!important}\n  body.postid-1352 #lvm-shell .tap-hint.hidden{display:none!important;height:0!important;margin:0!important;padding:0!important}\n}\n\n\/* === A.6 BODYSCAN ILLUST partie BMR (override mobile mini-phone) === *\/\nbody.postid-1352 #lvm-shell .bodyscan-illust{margin:40px auto 8px!important;display:flex!important;flex-direction:column!important;align-items:center!important;gap:14px!important;max-width:220px!important}\nbody.postid-1352 #lvm-shell .bodyscan-illust .mini-phone{max-width:200px!important;padding:3px!important;border-radius:22px!important;border-width:1px!important}\nbody.postid-1352 #lvm-shell .bodyscan-illust .mini-phone .notch{width:40px!important;height:11px!important;border-radius:0 0 7px 7px!important}\nbody.postid-1352 #lvm-shell .bodyscan-illust .mini-phone .scr{border-radius:18px!important}\n@media (max-width:760px){\n  body.postid-1352 #lvm-shell .bodyscan-illust{max-width:180px!important}\n  body.postid-1352 #lvm-shell .bodyscan-illust .mini-phone{max-width:160px!important;padding:3px!important;border-radius:20px!important}\n  body.postid-1352 #lvm-shell .bodyscan-illust .mini-phone .notch{width:34px!important;height:9px!important;border-radius:0 0 6px 6px!important}\n  body.postid-1352 #lvm-shell .bodyscan-illust .mini-phone .scr{border-radius:16px!important}\n}\n<\/style>\n<script data-wpmeteor-nooptimize=\"true\">\n(function(){\n  \/* Hard fallback: force .rev visible after 2s if IntersectionObserver doesn't fire *\/\n  setTimeout(function(){\n    var shell = document.getElementById('lvm-shell');\n    if(!shell) return;\n    var anyOn = shell.querySelector('.rev.on');\n    if(!anyOn){ shell.classList.add('force-show'); }\n  }, 2000);\n\n  \/* ResizeObserver fallback: ensure charts resize correctly *\/\n  if (typeof ResizeObserver !== 'undefined'){\n    var observer = new ResizeObserver(function(entries){\n      entries.forEach(function(entry){\n        var canvas = entry.target.querySelector('canvas');\n        if (!canvas || !window.Chart) return;\n        var inst = window.Chart.getChart(canvas);\n        if (inst) { try { inst.resize(); } catch(e){} }\n      });\n    });\n    document.querySelectorAll('#lvm-shell .cv-wrap').forEach(function(w){ observer.observe(w); });\n  }\n})();\n<\/script>\n<div id=\"lvm-shell\"><div class=\"progress\" aria-hidden=\"true\"><i id=\"progBar\"><\/i><\/div>\n\n<header class=\"nav\">\n  <div class=\"nav-row\">\n    <a class=\"nav-brand\" href=\"https:\/\/lean-app.com\/no\/\" aria-label=\"Lean forside\">\n      <img src=\"https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-logo-lean-square-scaled.webp\" alt=\"\" width=\"512\" height=\"512\" loading=\"lazy\" decoding=\"async\" \/>\n      <span>Lean<\/span>\n    <\/a>\n    <span class=\"nav-spacer\"><\/span>\n    <a class=\"nav-link\" href=\"https:\/\/lean-app.com\/no\/tdee-calculator\/\">TDEE-kalkulator<\/a>\n    <div class=\"nav-stores\">\n      <a href=\"https:\/\/apps.apple.com\/fr\/app\/lean-calorie-ai-podometre\/id6738668646?utm_source=seo&#038;utm_medium=blog&#038;utm_campaign=vs-yazio\" target=\"_blank\" rel=\"noopener\" aria-label=\"Last ned fra App Store\">\n        <img src=\"https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-appstore-official.webp\" alt=\"App Store\" width=\"413\" height=\"122\" loading=\"lazy\" decoding=\"async\" style=\"height:48px;width:auto;border-radius:9px;display:block\" \/>\n      <\/a>\n      <a href=\"https:\/\/play.google.com\/store\/apps\/details?id=com.lean.testsqflite&#038;utm_source=seo&#038;utm_medium=blog&#038;utm_campaign=vs-yazio\" target=\"_blank\" rel=\"noopener\" aria-label=\"Tilgjengelig p\u00e5 Google Play\">\n        <img src=\"https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-googleplay-official.webp\" alt=\"Google Play\" width=\"315\" height=\"95\" loading=\"lazy\" decoding=\"async\" style=\"height:48px;width:auto;border-radius:9px;display:block\" \/>\n      <\/a>\n    <\/div>\n  <\/div>\n<\/header>\n\n<main class=\"wrap\">\n\n<section class=\"hero\" aria-labelledby=\"title\">\n  <div class=\"crumb\"><a href=\"https:\/\/lean-app.com\/no\/\">Hjem<\/a> &nbsp;\/&nbsp; Lean vs Yazio<\/div>\n  <div class=\"eyebrow\">Sammenligning &middot; Ern\u00e6ring &amp; TDEE<\/div>\n  <h1 id=\"title\">Lean mot Yazio.\n    <span class=\"alt\">Europas mest elskede kaloritracker mot den eneste som setter TDEE-en din sammen p\u00e5 nytt kontinuerlig.<\/span>\n  <\/h1>\n  <p class=\"dek\">Yazio teller. Lean beregner. Forskjellen synes etter 6 uker.<\/p>\n  <div class=\"byline\">\n    <img class=\"by-logo\" src=\"https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-logo-lean-square-scaled.webp\" alt=\"\" width=\"512\" height=\"512\" loading=\"lazy\" decoding=\"async\" \/>\n    <span><strong>Lean-teamet<\/strong> &middot; Lesetid 12&nbsp;min &middot; Oppdatert 21. mai 2026<\/span>\n  <\/div>\n  <div class=\"hero-stores\">\n    <a href=\"https:\/\/apps.apple.com\/fr\/app\/lean-calorie-ai-podometre\/id6738668646?utm_source=seo&#038;utm_medium=blog&#038;utm_campaign=vs-yazio\" target=\"_blank\" rel=\"noopener\">\n      <img src=\"https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-appstore-official.webp\" alt=\"T\u00e9l\u00e9charger sur l'App Store\" width=\"413\" height=\"122\" loading=\"lazy\" decoding=\"async\" \/>\n    <\/a>\n    <a href=\"https:\/\/play.google.com\/store\/apps\/details?id=com.lean.testsqflite&#038;utm_source=seo&#038;utm_medium=blog&#038;utm_campaign=vs-yazio\" target=\"_blank\" rel=\"noopener\">\n      <img src=\"https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-googleplay-official.webp\" alt=\"Disponible sur Google Play\" width=\"315\" height=\"95\" loading=\"lazy\" decoding=\"async\" \/>\n    <\/a>\n    <span class=\"or\">Gratis nedlasting<\/span>\n  <\/div>\n\n  <div class=\"hero-bottom\">\n    <div class=\"hero-lead\">\n      Yazio er massiv og utmerket p\u00e5 periodisk faste og de 3 000+ guidede oppskriftene. Men TDEE-formelen forblir Mifflin-St Jeor 1990, pluss et fastl\u00e5st aktivitetsniv\u00e5 du krysser av \u00e9n eneste gang ved registreringen (\u00e9n av 5 bokser: stillesittende\/lav\/moderat\/aktiv\/sv\u00e6rt aktiv). Uten fettprosent, uten metabolsk tilpasning. Over 3 m\u00e5neder med seri\u00f8s deff \u00f8ker avviket.\n    <\/div>\n    <div class=\"phone-wrap rev\">\n      <div class=\"phone-stage\">\n        <div class=\"tap-hint mobile\" id=\"tapHintMobile\" aria-hidden=\"true\">\n          <span class=\"th-pill\"><small>Interaktiv demo<\/small>Trykk p\u00e5 skjermen for \u00e5 utforske appen<\/span>\n          <svg class=\"th-arrow\" viewbox=\"0 0 24 24\" fill=\"none\" aria-hidden=\"true\">\n            <path d=\"M12 4 L12 20 M5 13 L12 20 L19 13\" stroke=\"currentColor\" stroke-width=\"2.4\" stroke-linecap=\"round\" stroke-linejoin=\"round\"\/>\n          <\/svg>\n        <\/div>\n        <div class=\"tap-hint desktop\" id=\"tapHintDesktop\" aria-hidden=\"true\">\n          <span class=\"th-pill\"><small>Interaktiv demo<\/small>Trykk p\u00e5 skjermen<br>for \u00e5 utforske appen<\/span>\n          <svg class=\"th-arrow\" viewbox=\"0 0 104 34\" fill=\"none\" aria-hidden=\"true\">\n            <path d=\"M4 9 C 34 1, 64 20, 94 27\" stroke=\"currentColor\" stroke-width=\"2.6\" fill=\"none\" stroke-linecap=\"round\"\/>\n            <path d=\"M86 20 L 94 27 L 84 30\" stroke=\"currentColor\" stroke-width=\"2.6\" fill=\"none\" stroke-linecap=\"round\" stroke-linejoin=\"round\"\/>\n          <\/svg>\n        <\/div>\n        <div class=\"phone\" id=\"phone\" role=\"img\" aria-label=\"Oversikt over Lean-appen med drilldown av TDEE\">\n          <div class=\"notch\"><\/div>\n          <div class=\"phone-screen\">\n            <button class=\"phone-back\" id=\"phoneBack\" aria-label=\"Tilbake\">&#8249;<\/button>\n            <div id=\"phoneImg\" class=\"phone-bg tab-depense\" role=\"img\" aria-label=\"Lean-oversikt, Forbruk-fanen\"><\/div>\n            <div class=\"phone-zones\" id=\"phoneZones\">\n              <div class=\"z\" data-sub=\"BMR\"  style=\"top:11%;height:21%\" role=\"button\" tabindex=\"0\" aria-label=\"BMR-detaljer\"><\/div>\n              <div class=\"z\" data-sub=\"NEAT\" style=\"top:33%;height:16%\" role=\"button\" tabindex=\"0\" aria-label=\"NEAT-detaljer\"><\/div>\n              <div class=\"z\" data-sub=\"EAT\"  style=\"top:50%;height:16%\" role=\"button\" tabindex=\"0\" aria-label=\"EAT-detaljer\"><\/div>\n              <div class=\"z\" data-sub=\"TEF\"  style=\"top:67%;height:16%\" role=\"button\" tabindex=\"0\" aria-label=\"TEF-detaljer\"><\/div>\n            <\/div>\n            <div class=\"phone-navbar\" id=\"phoneNav\" aria-hidden=\"false\">\n              <button data-tab=\"bilan\"     type=\"button\" aria-label=\"Oversikt-fanen\"><\/button>\n              <button data-tab=\"kcal\"      type=\"button\" aria-label=\"Kalorier-fanen\"><\/button>\n              <button data-tab=\"depense\"   type=\"button\" aria-label=\"Forbruk-fanen\"><\/button>\n              <button data-tab=\"strategie\" type=\"button\" aria-label=\"Strategi-fanen\"><\/button>\n            <\/div>\n          <\/div>\n        <\/div>\n        <div class=\"phone-tabs\" role=\"tablist\" aria-label=\"Naviger i Lean-appen\">\n          <button data-tab=\"bilan\"     type=\"button\">Oversikt<\/button>\n          <button data-tab=\"kcal\"      type=\"button\">Kalorier<\/button>\n          <button data-tab=\"depense\"   type=\"button\" class=\"on\">Forbruk<\/button>\n          <button data-tab=\"strategie\" type=\"button\">Strategi<\/button>\n        <\/div>\n      <\/div>\n    <\/div>\n  <\/div>\n\n  <div class=\"snippet rev\">\n    <div class=\"lbl\">Raskt svar<\/div>\n    <p>Yazio beregner TDEE-en din med Mifflin-St Jeor 1990 (uten fettprosent) og et fastl\u00e5st aktivitetsniv\u00e5 du krysser av \u00e9n gang ved registreringen, blant 5 bokser (stillesittende, lav, moderat, aktiv, sv\u00e6rt aktiv). Formelen er mer moderne enn Harris-Benedict 1919, men arver samme feil: ingen fettfri masse, ingen NEAT m\u00e5lt via skritt, ingen metabolsk tilpasning. Lean beregner hver komponent p\u00e5 nytt (<span data-term=\"BMR\">BMR<span class=\"tt\">Basal Metabolic Rate. Energi brukt i hvile. Hos Lean beregnet p\u00e5 den reelle fettfrie massen via AI BodyScan.<\/span><\/span> p\u00e5 reell fettprosent via en patentert propriet\u00e6r modell, <span data-term=\"NEAT\">NEAT<span class=\"tt\">Non-Exercise Activity Thermogenesis. Forbruk knyttet til skritt og daglige aktiviteter utenom trening.<\/span><\/span> per skritt, <span data-term=\"EAT\">EAT<span class=\"tt\">Exercise Activity Thermogenesis. Forbruk knyttet til trenings\u00f8ktene dine, beregnet via MET.<\/span><\/span> per MET, <span data-term=\"TEF\">TEF<span class=\"tt\">Thermic Effect of Food. Energi brukt p\u00e5 ford\u00f8yelsen. Avhenger av inntatte makroer.<\/span><\/span> per makroer) og modulerer BMR med den metabolske tilpasningen kontinuerlig, uten koeffisient \u00e5 velge.<\/p>\n  <\/div>\n<\/section>\n\n<section aria-labelledby=\"constat\" class=\"rev\">\n  <div class=\"section-label\"><span class=\"bar\"><\/span><span class=\"num\">00 &middot; Situasjonen<\/span><\/div>\n  <h2 id=\"constat\">Yazio f\u00f8lger deg i 100 dager, helt til kroppen din tilpasser seg<\/h2>\n  <p>Leser du dette, har du trolig allerede installert Yazio. Du har oppgitt vekt, h\u00f8yde, alder, kj\u00f8nn. Appen ba deg krysse av aktivitetsniv\u00e5et ditt i en liste med 5 bokser (stillesittende, lav, moderat, aktiv, sv\u00e6rt aktiv). Den viste deg et kalorim\u00e5l, la oss si 2&nbsp;250&nbsp;kcal for \u00e5 g\u00e5 ned i vekt. Du fulgte det religi\u00f8st. Du brukte 16:8, du lagde de guidede oppskriftene, du skannet strekkodene dine.<\/p>\n  <p>De 6 f\u00f8rste ukene fungerer det. Du g\u00e5r ned. Du er forn\u00f8yd. S\u00e5 rundt uke 8 stivner vekten. Du tenker: \u00ab&nbsp;jeg m\u00e5 ha slappet av, jeg m\u00e5 ha logget feil&nbsp;\u00bb. Du strammer inn. Du g\u00e5r ned til 2&nbsp;000&nbsp;kcal. Igjen, ingenting r\u00f8rer seg.<\/p>\n\n  <div class=\"statement\">\n    <div class=\"num\">&minus;10 til &minus;15&nbsp;%<\/div>\n    <div class=\"lbl\">m\u00e5lt nedgang i TDEE etter 4 til 6 uker med underskudd p\u00e5 &minus;500&nbsp;kcal\/dag. Yazio oppdager det ikke. Kalorim\u00e5let ditt forblir fastl\u00e5st p\u00e5 valget ditt fra 100&nbsp;dager siden.<\/div>\n  <\/div>\n\n  <p>Tenk deg at Yazio viser deg en TDEE p\u00e5 2&nbsp;500&nbsp;kcal. Du spiser 2&nbsp;250 (teoretisk underskudd p\u00e5 250&nbsp;kcal). Men i virkeligheten har din <a class=\"inline\" href=\"https:\/\/lean-app.com\/no\/depense-energetique-totale-v2\/\">TDEE har sunket til 2&nbsp;200&nbsp;kcal<\/a> p\u00e5 grunn av den metabolske tilpasningen. Du er i overskudd p\u00e5 50&nbsp;kcal uten \u00e5 vite det. Ingen sjanse til \u00e5 fortsette \u00e5 g\u00e5 ned.<\/p>\n  <p>Derfor er det avgj\u00f8rende \u00e5 <a class=\"inline\" href=\"https:\/\/lean-app.com\/no\/comment-compter-ses-calories\/\">beregne forbruket ditt perfekt<\/a>, og beregne det p\u00e5 nytt kontinuerlig. Og det er n\u00f8yaktig der Yazio, som de fleste forbrukertrackere, forblir fastl\u00e5st p\u00e5 det opprinnelige anslaget.<\/p>\n<\/section>\n\n<section aria-labelledby=\"p1\" class=\"rev\">\n  <div class=\"section-label\"><span class=\"bar\"><\/span><span class=\"num\">01 &middot; Problem 1<\/span><\/div>\n  <h2 id=\"p1\">BMR-formelen fra 1990, uten fettprosent<\/h2>\n\n  <div class=\"fig\">\n    <div class=\"fig-head\"><span class=\"l\">Figur 1 &middot; Mann 1,80&nbsp;m, 120&nbsp;kg, 30&nbsp;% BF<\/span><span class=\"r\">kcal<\/span><\/div>\n    <div class=\"fig-body\"><div class=\"cv-wrap\" style=\"position:relative;width:100%;height:380px;min-height:340px\"><canvas id=\"chartBMR\" aria-label=\"BMR-sammenligning Mifflin-St Jeor 2500 kcal vs Leans patenterte egenutviklede modell 2000 kcal, forskjell p\u00e5 500 kcal\"><\/canvas><\/div><\/div>\n    <p class=\"fig-cap\"><strong>Ansl\u00e5tt BMR.<\/strong> Leans patenterte propriet\u00e6re modell tar hensyn til den fettfrie massen. Mifflin-St Jeor (Yazio) gj\u00f8r det ikke. Avvik p\u00e5 500&nbsp;kcal, tilsvarende en hel lunsj.<\/p>\n  <\/div>\n\n  <p>For \u00e5 beregne basalmetabolismen din (BMR, energien du forbrenner i hvile) bruker Yazio Mifflin-St Jeor-ligningen. Det er den kanoniske formelen i de fleste forbrukerrettede kaloritrackere, og vi m\u00e5 v\u00e6re \u00e6rlige: den er bedre enn Harris-Benedict 1919 som andre apper fortsatt bruker.<\/p>\n  <p>Mifflin-St Jeor er fra 1990. Utvalget er st\u00f8rre (498 fors\u00f8kspersoner), metoden med indirekte kalorimetri er mer presis, formelen er kalibrert p\u00e5 en mer moderne populasjon. Yazio bruker den offisielle formelen: 10 \u00d7 vekt (kg) + 6,25 \u00d7 h\u00f8yde (cm) \u2212 5 \u00d7 alder \u2212 161 (kvinner) eller +5 (menn).<\/p>\n  <p>Men oppdateringen stopper der. Mifflin (1990) retter marginalt Harris-Benedict (1919) p\u00e5 gjennomsnittlig presisjon, men arver samme konseptuelle feil: <strong>formelen tar bare hensyn til vekten. Ikke fettprosenten. Ikke den fettfrie massen.<\/strong><\/p>\n  <p>Men siden 1980-tallet har vi visst at <strong>fettmassen bruker sv\u00e6rt lite energi<\/strong> sammenlignet med resten av kroppen. Leveren, hjernen, hjertet, nyrene og fremfor alt musklene er de reelle forbrukspostene. Fettmassen er inert. En person med 30&nbsp;% fettprosent forbrenner slett ikke like mye som en person med 10&nbsp;% fettprosent, selv ved lik vekt.<\/p>\n  <p>Frankenfield 2013 (PubMed 23631843) sammenlignet Mifflin-St Jeor med referansemetoden indirekte kalorimetri p\u00e5 kohorter med og uten fedme. Resultat: 87&nbsp;% presisjon hos dem uten fedme, og bare <strong>75&nbsp;% hos dem med fedme<\/strong>. En nyere studie (PMC11820646) viser at ved BMI over 35 bommer Mifflin med <strong>250 til 315&nbsp;kcal per dag<\/strong>. Det tilsvarer et helt mellomm\u00e5ltid i beregningen av et underskudd.<\/p>\n\n  <p>500&nbsp;kcal er ikke ingenting. Hvis Yazio sier \u00ab&nbsp;BMR-en din er 2&nbsp;500&nbsp;\u00bb og den i virkeligheten er 2&nbsp;000, er alt som f\u00f8lger feil.<\/p>\n\n  <div class=\"bodyscan-illust\" style=\"margin:40px auto 8px;display:flex;flex-direction:column;align-items:center;gap:14px;max-width:200px\">\n    <div class=\"mini-phone\" style=\"max-width:200px\"><div class=\"notch\"><\/div><div class=\"scr\"><img src=\"https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-bodyscan-result.webp\" alt=\"BodyScan IA Lean : bodyfat mesur\u00e9 par photo en 5 secondes\" width=\"1179\" height=\"2556\" loading=\"lazy\" decoding=\"async\" \/><\/div><\/div>\n    <div class=\"mini-cap\">Reell fettprosent<strong>Foto, 5 sekunder<\/strong><\/div>\n  <\/div>\n\n  <div class=\"statement\">\n    <div class=\"num\">400&nbsp;kcal<\/div>\n    <div class=\"lbl\">i avvik mellom to menn p\u00e5 80&nbsp;kg, den ene med 10&nbsp;% fettprosent (BMR 1&nbsp;900), den andre med 30&nbsp;% (BMR 1&nbsp;500). Yazio gir dem samme tall.<\/div>\n  <\/div>\n\n  <p>Delkonklusjon: hvis en app beregner BMR-en din utelukkende fra vekt, h\u00f8yde, alder og kj\u00f8nn, kan ikke resultatet individualiseres. Det er matematisk umulig.<\/p>\n<\/section>\n\n<section aria-labelledby=\"p2\" class=\"rev\">\n  <div class=\"section-label\"><span class=\"bar\"><\/span><span class=\"num\">02 &middot; Problem 2<\/span><\/div>\n  <h2 id=\"p2\">Aktivitetsniv\u00e5et, valgt \u00e9n gang for alle<\/h2>\n  <p>Her blir det alvorlig. Og det er trolig punktet ingen har forklart deg.<\/p>\n  <p>N\u00e5r Yazio har beregnet BMR-en din (uten fettprosent), m\u00e5 den ansl\u00e5 den totale TDEE-en din. <a class=\"inline\" href=\"https:\/\/lean-app.com\/no\/depense-energetique-totale-v2\/\">TDEE er BMR + alt det andre<\/a> : forbruket knyttet til skritt, daglige aktiviteter, trening og ford\u00f8yelse. Alt som ikke er basalmetabolisme.<\/p>\n  <p>Hvordan gj\u00f8r Yazio det&nbsp;? Den ber deg, \u00e9n eneste gang ved registreringen, krysse av \u00e9n av 5 bokser som alene skal oppsummere livsstilen din. Disse 5 boksene kalles i idrettsvitenskapen <strong>PAL-niv\u00e5er<\/strong> (Physical Activity Level), det er bare en multiplikator brukt p\u00e5 BMR-en din:<\/p>\n  <ul>\n    <li>Stillesittende (PAL 1,2): kontor, lite gange<\/li>\n    <li>Lav aktivitet (PAL 1,375): sporadisk gange<\/li>\n    <li>Moderat aktivitet (PAL 1,55): trening 3 til 5 ganger i uken<\/li>\n    <li>Aktiv (PAL 1,725): intens trening nesten daglig<\/li>\n    <li>Sv\u00e6rt aktiv (PAL 1,9): sv\u00e6rt intens trening eller fysisk arbeid<\/li>\n  <\/ul>\n  <p>Og etter valget ditt multipliserer den BMR-en din med den tilh\u00f8rende koeffisienten. Det er alt. Det er alt som ligger bak det daglige kalorim\u00e5let ditt. En boks DU krysset av \u00e9n eneste gang ved registreringen. Ofte for seks m\u00e5neder siden. Uendret siden.<\/p>\n  <p>Og her er den stille fellen: denne tiln\u00e6rmingen er <strong>ekstremt uperfekt<\/strong>. Forskjellen mellom en dag der du er klistret til sofaen foran Netflix og en dag der du drar til Disneyland med barna og g\u00e5r 15&nbsp;km, <strong>det er over 1&nbsp;000&nbsp;kcal<\/strong>. Ingen av de 5 boksene fanger det.<\/p>\n  <p>Yazio synkroniserer fint med Apple Helse og Google Health Connect, og fanger skrittene dine. Men disse skrittene mater seksjonen \u00ab&nbsp;Activities\/Burned&nbsp;\u00bb, ikke omberegningen av TDEE. Det daglige kalorim\u00e5let ditt er fortsatt basert p\u00e5 PAL-boksen du valgte ved onboarding.<\/p>\n\n  <div class=\"fig\">\n    <div class=\"fig-head\"><span class=\"l\">Figur 2 &middot; 7 reelle dager<\/span><span class=\"r\">kcal\/dag<\/span><\/div>\n    <div class=\"fig-body\"><div class=\"cv-wrap\" style=\"position:relative;width:100%;height:380px;min-height:340px\"><canvas id=\"chartNEAT\" aria-label=\"Daglig variasjon i kaloriforbruket over 7 dager, mot 2400 kcal fast if\u00f8lge Yazio\"><\/canvas><\/div><\/div>\n    <p class=\"fig-cap\"><strong>Reelt forbruk<\/strong> m\u00e5lt over 7&nbsp;dager for en Lean-bruker. Den gr\u00e5 linjen er det Yazio viste (2&nbsp;400&nbsp;kcal fast, moderat PAL \u00d7 BMR). De rosa merknadene viser hvorfor hver dag beveger seg.<\/p>\n  <\/div>\n\n  <p>Du kan ikke redusere aktivitetsniv\u00e5et ditt til en statisk boks. Du er kanskje aktiv de ukene du har lite hjemmekontor, og stillesittende de ukene du ikke forlater kontoret. Du er kanskje aktiv om sommeren og stillesittende om vinteren. Du er kanskje aktiv fra tirsdag til fredag og stillesittende i helgen.<\/p>\n  <p>Hvilken boks skal du krysse av denne uken? Sannheten er at ingen av de 5 vil v\u00e6re riktig. Og dermed gir Yazio deg en TDEE som systematisk er frakoblet virkeligheten.<\/p>\n  <p>N\u00f8kkelpoenget i denne artikkelen: selv om Yazio hadde en perfekt BMR-formel (noe den ikke har), ville den statiske PAL-en v\u00e6re nok til \u00e5 \u00f8delegge alt. Du kan ikke ansl\u00e5 en <a class=\"inline\" href=\"https:\/\/lean-app.com\/no\/neat-depense-non-sportive\/\">NEAT<\/a>, en EAT og en <a class=\"inline\" href=\"https:\/\/lean-app.com\/no\/effet-thermique-des-aliments\/\">TEF<\/a> med \u00e9n enkelt multiplikator brukt p\u00e5 BMR. Det er konseptuelt absurd.<\/p>\n  <p>Du har skj\u00f8nt det: <strong>en BMR-formel uten fettprosent, pluss en statisk PAL-tiln\u00e6rming av de andre forbrukspostene, gir sv\u00e6rt liten sjanse til \u00e5 n\u00e5 m\u00e5lene dine over 3 til 6 m\u00e5neder.<\/strong><\/p>\n\n  <div class=\"cta-band rev\" style=\"display:flex;align-items:center;justify-content:space-between;gap:20px;flex-wrap:wrap;padding:26px 28px;margin:40px 0;background:#FAF5EE;border:1px solid #E8E2D6;border-radius:16px\">\n    <div class=\"l\" style=\"flex:1;min-width:240px;font-size:18px;line-height:1.4;font-weight:500;color:#0E0E10\">Se din reelle TDEE, delt opp i BMR + NEAT + EAT + TEF. Gratis nedlasting.<\/div>\n    <div class=\"stores\" style=\"display:flex;gap:10px;align-items:center;flex-wrap:wrap\">\n      <a href=\"https:\/\/apps.apple.com\/fr\/app\/lean-calorie-ai-podometre\/id6738668646?utm_source=seo&#038;utm_medium=blog&#038;utm_campaign=vs-yazio\" target=\"_blank\" rel=\"noopener\"><img src=\"https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-appstore-official.webp\" alt=\"App Store\" width=\"413\" height=\"122\" loading=\"lazy\" decoding=\"async\" style=\"height:48px;width:auto;border-radius:9px;display:block\" \/><\/a>\n      <a href=\"https:\/\/play.google.com\/store\/apps\/details?id=com.lean.testsqflite&#038;utm_source=seo&#038;utm_medium=blog&#038;utm_campaign=vs-yazio\" target=\"_blank\" rel=\"noopener\"><img src=\"https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-googleplay-official.webp\" alt=\"Google Play\" width=\"315\" height=\"95\" loading=\"lazy\" decoding=\"async\" style=\"height:48px;width:auto;border-radius:9px;display:block\" \/><\/a>\n    <\/div>\n  <\/div>\n<\/section>\n\n<section aria-labelledby=\"p3\" class=\"rev\">\n  <div class=\"section-label\"><span class=\"bar\"><\/span><span class=\"num\">03 &middot; Problem 3<\/span><\/div>\n  <h2 id=\"p3\">Den metabolske tilpasningen, aldri modellert<\/h2>\n  <p>Dette er sluttbossen. Det fineste begrepet. Og trolig det viktigste.<\/p>\n  <p>N\u00e5r du er i kaloriunderskudd, forst\u00e5r kroppen din at den f\u00e5r mindre energi enn f\u00f8r. For \u00e5 beskytte seg g\u00e5r den i sparemodus. N\u00f8yaktig som str\u00f8msparingsmodusen p\u00e5 iPhonen din: alt fortsetter \u00e5 fungere, men med mindre energi. BMR-en din synker. NEAT-en din synker. EAT-en din synker.<\/p>\n  <p>Det er det som kalles metabolsk tilpasning. Den vitenskapelige litteraturen er klar og reproduserbar: M\u00fcller 2015 (PubMed 26399868, ny gjennomgang av Minnesota), Doucet 2001 (PubMed 11430776), Nunes 2020 (PMC7484122) over 6 uker i underskudd. Her er tallene:<\/p>\n  <ul>\n    <li>Underskudd p\u00e5 &minus;250&nbsp;kcal per dag, over 2 til 8 uker: tilpasning p\u00e5 <strong>5 til 10&nbsp;%<\/strong> (TDEE synker til 90-95&nbsp;% av utgangsniv\u00e5et)<\/li>\n    <li>Underskudd p\u00e5 &minus;500&nbsp;kcal per dag: <strong>10 til 15&nbsp;%<\/strong> tilpasning (TDEE synker til 85-90&nbsp;%)<\/li>\n    <li>Underskudd p\u00e5 &minus;750&nbsp;kcal per dag: <strong>15 til 25&nbsp;%<\/strong> tilpasning (TDEE synker til 75-85&nbsp;%)<\/li>\n  <\/ul>\n  <p>Lean-konvensjon: 100&nbsp;% = optimalt, 90&nbsp;% = 10&nbsp;% tilpasning. Og siden NEAT, EAT og TEF alle avhenger direkte av BMR, p\u00e5virkes nesten hele TDEE-en.<\/p>\n\n  <div class=\"fig\">\n    <div class=\"fig-head\"><span class=\"l\">Figur 3 &middot; 8 uker i underskudd<\/span><span class=\"r\">kcal\/dag<\/span><\/div>\n    <div class=\"fig-body\"><div class=\"cv-wrap\" style=\"position:relative;width:100%;height:380px;min-height:340px\"><canvas id=\"chartAdapt\" aria-label=\"TDEE som faller fra 2500 til 2150 kcal over 8 uker, mot 2500 fast if\u00f8lge Yazio\"><\/canvas><\/div><\/div>\n    <p class=\"fig-cap\"><strong>Reell TDEE<\/strong> over 8 uker med underskudd p\u00e5 &minus;500&nbsp;kcal\/dag. Den rosa kurven synker. Yazio-linjen forblir flat. I uke 6 er du allerede p\u00e5 vedlikehold. Uten \u00e5 ha endret noe.<\/p>\n  <\/div>\n\n  <p>Konkret: hvis du hadde planlagt et underskudd p\u00e5 10&nbsp;% p\u00e5 en TDEE p\u00e5 2&nbsp;500 (alts\u00e5 spise 2&nbsp;250 per dag), og kroppen din tilpasser seg med 10&nbsp;%, er den reelle TDEE-en din n\u00e5 2&nbsp;250. Du er p\u00e5 vedlikehold. Du g\u00e5r ikke ned lenger.<\/p>\n  <p>Fellen er at det er snikende. I starten g\u00e5r du ned. Du er forn\u00f8yd. Du fortsetter. Men uke etter uke akkumuleres tilpasningen. Og p\u00e5 et tidspunkt, uten \u00e5 ha endret noe i loggingen din, <strong>slutter du \u00e5 g\u00e5 ned<\/strong>.<\/p>\n  <p>95&nbsp;% av folk g\u00e5r gjennom dette uten \u00e5 forst\u00e5 det. De skylder p\u00e5 viljestyrken sin. De skylder p\u00e5 sitt \u00ab&nbsp;\u00f8delagte stoffskifte&nbsp;\u00bb. De g\u00e5r i gang med hardere dietter, noe som forverrer tilpasningen. Spiral.<\/p>\n  <p>Yazio beregner aldri den metabolske tilpasningen. Den gir deg et fast og statisk m\u00e5l. N\u00e5r du stagnerer etter 6 uker, aner ikke appen hvorfor.<\/p>\n<\/section>\n\n<section aria-labelledby=\"solution\" class=\"rev\">\n  <div class=\"section-label\"><span class=\"bar\"><\/span><span class=\"num\">04 &middot; Lean-l\u00f8sningen<\/span><\/div>\n  <h2 id=\"solution\">Hvordan Lean l\u00f8ser hvert av de 3 problemene<\/h2>\n  <p>Yazio har lyktes med det MyFitnessPal mislyktes med&nbsp;: et tydelig grensesnitt, uten reklamest\u00f8y, og en gratisversjon som faktisk er brukbar. Designet har utviklet seg, vitenskapen ikke&nbsp;: under panseret finner vi Harris-Benedict og et aktivitetsniv\u00e5 valgt ved registreringen. Lean har investert n\u00f8yaktig der Yazio ikke har r\u00f8rt seg&nbsp;: beregningen av hver TDEE-komponent (BMR&nbsp;+&nbsp;NEAT&nbsp;+&nbsp;EAT&nbsp;+&nbsp;TEF) pluss den metabolske tilpasningen. Slik gj\u00f8r vi det.<\/p>\n\n  <div class=\"method\">\n    <div class=\"m-phone\">\n      <div class=\"duo-row\">\n        <div>\n          <div class=\"mini-phone\"><div class=\"notch\"><\/div><div class=\"scr\"><img src=\"https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-bodyscan-result.webp\" alt=\"R\u00e9sultat BodyScan IA : pourcentage de masse grasse mesur\u00e9 par photo\" width=\"1179\" height=\"2556\" loading=\"lazy\" decoding=\"async\" \/><\/div><\/div>\n          <div class=\"mini-cap\">Trinn 1<strong>AI BodyScan<\/strong><\/div>\n        <\/div>\n        <div>\n          <div class=\"mini-phone\"><div class=\"notch\"><\/div><div class=\"scr\"><img src=\"https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-screen_BMR.webp\" alt=\"\u00c9cran BMR Lean : m\u00e9tabolisme de base calcul\u00e9 sur la masse maigre\" width=\"1179\" height=\"2556\" loading=\"lazy\" decoding=\"async\" \/><\/div><\/div>\n          <div class=\"mini-cap\">Trinn 2<strong>Omberegnet BMR<\/strong><\/div>\n        <\/div>\n      <\/div>\n    <\/div>\n    <div>\n      <div class=\"m-tag\">BMR p\u00e5 reell fettprosent<\/div>\n      <h3>Patentert propriet\u00e6r modell, basert p\u00e5 fettfri masse<\/h3>\n      <p>Yazio beregner stoffskiftet ditt ut fra vekt, h\u00f8yde og alder. Lean tar utgangspunkt i din <strong>fettfri masse<\/strong>, fordi det er den som forbrenner i hvile&nbsp;: to personer p\u00e5 80&nbsp;kg, den ene med 12&nbsp;% fettprosent og den andre med 30&nbsp;%, har ikke samme stoffskifte. Gjenstod \u00e5 m\u00e5le denne fettprosenten uten DEXA.<\/p>\n      <p>Den <strong>AI BodyScan<\/strong> gj\u00f8r det med ett foto, via en modell trent p\u00e5 en bank av DEXA-skanninger. Resultat p\u00e5 noen sekunder, gjentas hver uke, med automatisk omberegning av stoffskiftet bak.<\/p>\n      <p>Verken hudfoldsm\u00e5ler, impedansvekt som er f\u00f8lsom for hydrering, eller DEXA p\u00e5 klinikk. Ett ukentlig foto.<\/p>\n    <\/div>\n  <\/div>\n\n  <div class=\"method flip\">\n    <div>\n      <div class=\"m-tag\">Ingen aktivitetskoeffisient<\/div>\n      <h3>NEAT, EAT, TEF beregnet hver for seg<\/h3>\n      <p><strong>NEAT.<\/strong> De reelle skrittene dine hentes fra HealthKit (iOS) eller Google Fit (Android). \u00ab&nbsp;Aktivitetsniv\u00e5et&nbsp;\u00bb Yazio ber deg om ved registreringen endrer seg ikke mandagen du g\u00e5r 15&nbsp;000 skritt og s\u00f8ndagen du ikke forlater sofaen. Lean leser dataen i stedet for \u00e5 anta den.<\/p>\n      <p><strong>EAT.<\/strong> Hver \u00f8kt beregnes per MET p\u00e5 den reelle innsatstiden din. En time styrketrening, hviletid inkludert, er ikke det samme som en time kontinuerlig l\u00f8ping&nbsp;: avviket teller i hundrevis av kcal per uke.<\/p>\n      <p><strong>TEF.<\/strong> Ford\u00f8yelsens kostnad avhenger av makroene dine&nbsp;: 20 til 30&nbsp;% for proteiner, 5 til 10&nbsp;% for karbohydrater, 1 til 3&nbsp;% for fett. Lean beregner det p\u00e5 det du faktisk har spist, i stedet for \u00e5 bruke en fast sats p\u00e5 10&nbsp;%.<\/p>\n    <\/div>\n    <div class=\"m-phone\">\n      <div class=\"mini-row\" style=\"margin:0;gap:10px\">\n        <div>\n          <div class=\"mini-phone tiny\"><div class=\"notch\"><\/div><div class=\"scr\"><img src=\"https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-screen_NEAT.webp\" alt=\"\u00c9cran NEAT Lean\" width=\"1179\" height=\"2556\" loading=\"lazy\" decoding=\"async\" \/><\/div><\/div>\n          <div class=\"mini-cap\" style=\"font-size:10px\"><strong style=\"font-size:12px\">NEAT<\/strong><\/div>\n        <\/div>\n        <div>\n          <div class=\"mini-phone tiny\"><div class=\"notch\"><\/div><div class=\"scr\"><img src=\"https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-screen_EAT.webp\" alt=\"\u00c9cran EAT Lean\" width=\"1179\" height=\"2556\" loading=\"lazy\" decoding=\"async\" \/><\/div><\/div>\n          <div class=\"mini-cap\" style=\"font-size:10px\"><strong style=\"font-size:12px\">EAT<\/strong><\/div>\n        <\/div>\n        <div>\n          <div class=\"mini-phone tiny\"><div class=\"notch\"><\/div><div class=\"scr\"><img src=\"https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-screen_TEF.webp\" alt=\"\u00c9cran TEF Lean\" width=\"1179\" height=\"2556\" loading=\"lazy\" decoding=\"async\" \/><\/div><\/div>\n          <div class=\"mini-cap\" style=\"font-size:10px\"><strong style=\"font-size:12px\">TEF<\/strong><\/div>\n        <\/div>\n      <\/div>\n    <\/div>\n  <\/div>\n\n  <div class=\"method flip\">\n    <div>\n      <div class=\"m-tag\">Automatisk metabolsk tilpasning<\/div>\n      <h3>En verdensnyhet i en forbrukerapp<\/h3>\n      <p><strong>Den metabolske tilpasningen.<\/strong> Etter noen uker i underskudd bremser stoffskiftet ditt. Yazio viser det samme kalorim\u00e5let i uke 8 som p\u00e5 dag \u00e9n&nbsp;: Lean justerer TDEE nedover etter de publiserte intervallene (M\u00fcller 2015, Doucet 2001).<\/p>\n      <p>Etter 10 til 15&nbsp;% tilpasning kan appen anbefale en retur til vedlikehold for \u00e5 sette fart p\u00e5 stoffskiftet igjen f\u00f8r du g\u00e5r i underskudd p\u00e5 nytt.<\/p>\n      <p>Ingen aktivitetsniv\u00e5 \u00e5 krysse av. Hver komponent m\u00e5les, uke for uke.<\/p>\n    <\/div>\n    <div class=\"m-phone\">\n      <div class=\"mini-phone solo\" style=\"max-width:240px!important;width:240px;padding:6px!important;border-radius:24px!important;border-width:2px!important\"><div class=\"notch\" style=\"width:60px!important;height:14px!important;border-radius:0 0 9px 9px!important\"><\/div><div class=\"scr\" style=\"border-radius:18px!important\"><img src=\"https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-screen_depense.webp\" alt=\"\u00c9cran d\u00e9pense totale Lean avec adaptation m\u00e9tabolique\" width=\"1179\" height=\"2556\" loading=\"lazy\" decoding=\"async\" \/><\/div><\/div>\n      <div class=\"mini-cap\">Metode<strong>Metabolsk tilpasning<\/strong><\/div>\n    <\/div>\n  <\/div>\n<\/section>\n\n<section aria-labelledby=\"tab\" class=\"rev\">\n  <div class=\"section-label\"><span class=\"bar\"><\/span><span class=\"num\">05 &middot; Sammenligningstabell<\/span><\/div>\n  <h2 id=\"tab\">Lean mot Yazio, kriterium for kriterium<\/h2>\n  <p>\u00c6rlig lesning av styrkene og svakhetene til hver app. Ingen kriterier gjelder pris.<\/p>\n\n  <div class=\"brand-banner\" style=\"display:grid;grid-template-columns:1fr 1fr;gap:16px;margin:24px 0 18px;padding:0\">\n  <div style=\"background:#FFF1F5;border:1.5px solid #FF2D6E;border-radius:14px;padding:20px 18px;display:flex;flex-direction:column;align-items:center;text-align:center;gap:10px\">\n    <img src=\"https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-logo-lean-square-scaled.webp\" alt=\"Lean\" width=\"64\" height=\"64\" loading=\"lazy\" decoding=\"async\" style=\"width:64px;height:64px;border-radius:14px;display:block;object-fit:cover\" \/>\n    <div style=\"font-family:-apple-system,BlinkMacSystemFont,'SF Pro Display',sans-serif;font-size:18px;font-weight:700;color:#FF2D6E;letter-spacing:-0.2px\">Lean<\/div>\n  <\/div>\n  <div style=\"background:#FFF1ED;border:1.5px solid #FF5252;border-radius:14px;padding:20px 18px;display:flex;flex-direction:column;align-items:center;text-align:center;gap:10px\">\n    <img src=\"https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/logo-yazio-real.webp\" alt=\"Yazio\" width=\"64\" height=\"64\" loading=\"lazy\" decoding=\"async\" style=\"width:64px;height:64px;border-radius:14px;display:block;object-fit:cover\" \/>\n    <div style=\"font-family:-apple-system,BlinkMacSystemFont,'SF Pro Display',sans-serif;font-size:18px;font-weight:700;color:#FF5252;letter-spacing:-0.2px\">Yazio<\/div>\n  <\/div>\n<\/div>\n<div class=\"table\" role=\"table\" aria-label=\"Sammenligning Lean mot Yazio\">\n    <div class=\"table-row head\" role=\"row\">\n      <div role=\"columnheader\">Kriterium<\/div>\n      <div class=\"brand-cell lean\" role=\"columnheader\"><img src=\"https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-logo-lean-square-scaled.webp\" alt=\"\" width=\"512\" height=\"512\" loading=\"lazy\" decoding=\"async\" \/> <span>Lean<\/span><\/div>\n      <div class=\"brand-cell\" role=\"columnheader\"><img src=\"https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/logo-yazio-real.webp\" alt=\"\" width=\"512\" height=\"512\" loading=\"lazy\" decoding=\"async\" \/> <span>Yazio<\/span><\/div>\n    <\/div>\n    <div class=\"table-row\" role=\"row\">\n      <div class=\"crit\">BMR-formel<\/div>\n      <div class=\"cell lean\"><span class=\"icn ok\"><svg viewbox=\"0 0 12 12\"><path d=\"M2 6.5 L5 9 L10 3.5\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2\" stroke-linecap=\"round\" stroke-linejoin=\"round\"\/><\/svg><\/span> Patentert propriet\u00e6r modell (fettfri masse)<\/div>\n      <div class=\"cell\"><span class=\"icn no\"><svg viewbox=\"0 0 12 12\"><path d=\"M3 3 L9 9 M9 3 L3 9\" stroke=\"currentColor\" stroke-width=\"2\" stroke-linecap=\"round\"\/><\/svg><\/span> Mifflin-St Jeor 1990, ingen fettprosent<\/div>\n    <\/div>\n    <div class=\"table-row\" role=\"row\">\n      <div class=\"crit\">Tar hensyn til fettprosent<\/div>\n      <div class=\"cell lean\"><span class=\"icn ok\"><svg viewbox=\"0 0 12 12\"><path d=\"M2 6.5 L5 9 L10 3.5\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2\" stroke-linecap=\"round\" stroke-linejoin=\"round\"\/><\/svg><\/span> Ja<\/div>\n      <div class=\"cell\"><span class=\"icn no\"><svg viewbox=\"0 0 12 12\"><path d=\"M3 3 L9 9 M9 3 L3 9\" stroke=\"currentColor\" stroke-width=\"2\" stroke-linecap=\"round\"\/><\/svg><\/span> Nei<\/div>\n    <\/div>\n    <div class=\"table-row\" role=\"row\">\n      <div class=\"crit\">M\u00e5ling av fettprosent i appen<\/div>\n      <div class=\"cell lean\"><span class=\"icn ok\"><svg viewbox=\"0 0 12 12\"><path d=\"M2 6.5 L5 9 L10 3.5\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2\" stroke-linecap=\"round\" stroke-linejoin=\"round\"\/><\/svg><\/span> AI BodyScan via foto<\/div>\n      <div class=\"cell\"><span class=\"icn no\"><svg viewbox=\"0 0 12 12\"><path d=\"M3 3 L9 9 M9 3 L3 9\" stroke=\"currentColor\" stroke-width=\"2\" stroke-linecap=\"round\"\/><\/svg><\/span> Nei<\/div>\n    <\/div>\n    <div class=\"table-row\" role=\"row\">\n      <div class=\"crit\">NEAT (skritt, aktivitet utenom trening)<\/div>\n      <div class=\"cell lean\"><span class=\"icn ok\"><svg viewbox=\"0 0 12 12\"><path d=\"M2 6.5 L5 9 L10 3.5\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2\" stroke-linecap=\"round\" stroke-linejoin=\"round\"\/><\/svg><\/span> Beregnet p\u00e5 reelle skritt hver dag<\/div>\n      <div class=\"cell\"><span class=\"icn no\"><svg viewbox=\"0 0 12 12\"><path d=\"M3 3 L9 9 M9 3 L3 9\" stroke=\"currentColor\" stroke-width=\"2\" stroke-linecap=\"round\"\/><\/svg><\/span> Samlet i den statiske PAL-en<\/div>\n    <\/div>\n    <div class=\"table-row\" role=\"row\">\n      <div class=\"crit\">EAT (treningsforbruk)<\/div>\n      <div class=\"cell lean\"><span class=\"icn ok\"><svg viewbox=\"0 0 12 12\"><path d=\"M2 6.5 L5 9 L10 3.5\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2\" stroke-linecap=\"round\" stroke-linejoin=\"round\"\/><\/svg><\/span> Per idrett via MET, effektiv tid<\/div>\n      <div class=\"cell\"><span class=\"icn mid\">&minus;<\/span> Blandet med NEAT i \u00ab&nbsp;Activities\/Burned&nbsp;\u00bb<\/div>\n    <\/div>\n    <div class=\"table-row\" role=\"row\">\n      <div class=\"crit\">TEF (ford\u00f8yelse)<\/div>\n      <div class=\"cell lean\"><span class=\"icn ok\"><svg viewbox=\"0 0 12 12\"><path d=\"M2 6.5 L5 9 L10 3.5\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2\" stroke-linecap=\"round\" stroke-linejoin=\"round\"\/><\/svg><\/span> Beregnet etter makroer<\/div>\n      <div class=\"cell\"><span class=\"icn no\"><svg viewbox=\"0 0 12 12\"><path d=\"M3 3 L9 9 M9 3 L3 9\" stroke=\"currentColor\" stroke-width=\"2\" stroke-linecap=\"round\"\/><\/svg><\/span> Ikke beregnet<\/div>\n    <\/div>\n    <div class=\"table-row\" role=\"row\">\n      <div class=\"crit\">Metabolsk tilpasning<\/div>\n      <div class=\"cell lean\"><span class=\"icn ok\"><svg viewbox=\"0 0 12 12\"><path d=\"M2 6.5 L5 9 L10 3.5\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2\" stroke-linecap=\"round\" stroke-linejoin=\"round\"\/><\/svg><\/span> Automatisk, uke for uke<\/div>\n      <div class=\"cell\"><span class=\"icn no\"><svg viewbox=\"0 0 12 12\"><path d=\"M3 3 L9 9 M9 3 L3 9\" stroke=\"currentColor\" stroke-width=\"2\" stroke-linecap=\"round\"\/><\/svg><\/span> Nei<\/div>\n    <\/div>\n    <div class=\"table-row\" role=\"row\">\n      <div class=\"crit\">Aktivitetskoeffisient \u00e5 velge<\/div>\n      <div class=\"cell lean\"><span class=\"icn ok\"><svg viewbox=\"0 0 12 12\"><path d=\"M2 6.5 L5 9 L10 3.5\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2\" stroke-linecap=\"round\" stroke-linejoin=\"round\"\/><\/svg><\/span> Nei, beregnet p\u00e5 reelle data<\/div>\n      <div class=\"cell\"><span class=\"icn no\"><svg viewbox=\"0 0 12 12\"><path d=\"M3 3 L9 9 M9 3 L3 9\" stroke=\"currentColor\" stroke-width=\"2\" stroke-linecap=\"round\"\/><\/svg><\/span> Ja, fastl\u00e5st aktivitetsniv\u00e5 (5 bokser, 1,2 til 1,9)<\/div>\n    <\/div>\n    <div class=\"table-row\" role=\"row\">\n      <div class=\"crit\">AI-fotoskanning av en rett<\/div>\n      <div class=\"cell lean\"><span class=\"icn ok\"><svg viewbox=\"0 0 12 12\"><path d=\"M2 6.5 L5 9 L10 3.5\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2\" stroke-linecap=\"round\" stroke-linejoin=\"round\"\/><\/svg><\/span> Ja, ubegrenset<\/div>\n      <div class=\"cell\"><span class=\"icn ok\"><svg viewbox=\"0 0 12 12\"><path d=\"M2 6.5 L5 9 L10 3.5\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2\" stroke-linecap=\"round\" stroke-linejoin=\"round\"\/><\/svg><\/span> Ja, tilgjengelig siden juni 2025<\/div>\n    <\/div>\n    <div class=\"table-row\" role=\"row\">\n      <div class=\"crit\">Strekkodeskanning<\/div>\n      <div class=\"cell lean\"><span class=\"icn ok\"><svg viewbox=\"0 0 12 12\"><path d=\"M2 6.5 L5 9 L10 3.5\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2\" stroke-linecap=\"round\" stroke-linejoin=\"round\"\/><\/svg><\/span> Ja<\/div>\n      <div class=\"cell\"><span class=\"icn ok\"><svg viewbox=\"0 0 12 12\"><path d=\"M2 6.5 L5 9 L10 3.5\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2\" stroke-linecap=\"round\" stroke-linejoin=\"round\"\/><\/svg><\/span> Ja<\/div>\n    <\/div>\n    <div class=\"table-row\" role=\"row\">\n      <div class=\"crit\">Matvaredatabase<\/div>\n      <div class=\"cell lean\"><span class=\"icn ok\"><svg viewbox=\"0 0 12 12\"><path d=\"M2 6.5 L5 9 L10 3.5\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2\" stroke-linecap=\"round\" stroke-linejoin=\"round\"\/><\/svg><\/span> USDA + OpenFoodFacts, kuratert<\/div>\n      <div class=\"cell\"><span class=\"icn ok\"><svg viewbox=\"0 0 12 12\"><path d=\"M2 6.5 L5 9 L10 3.5\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2\" stroke-linecap=\"round\" stroke-linejoin=\"round\"\/><\/svg><\/span> 4M+ oppf\u00f8ringer, sterk EU\/DE-dekning<\/div>\n    <\/div>\n    <div class=\"table-row\" role=\"row\">\n      <div class=\"crit\">Anbefaling kaloriunderskudd<\/div>\n      <div class=\"cell lean\"><span class=\"icn ok\"><svg viewbox=\"0 0 12 12\"><path d=\"M2 6.5 L5 9 L10 3.5\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2\" stroke-linecap=\"round\" stroke-linejoin=\"round\"\/><\/svg><\/span> Tilpasset den reelle TDEE-en<\/div>\n      <div class=\"cell\"><span class=\"icn no\"><svg viewbox=\"0 0 12 12\"><path d=\"M3 3 L9 9 M9 3 L3 9\" stroke=\"currentColor\" stroke-width=\"2\" stroke-linecap=\"round\"\/><\/svg><\/span> Fast anslag<\/div>\n    <\/div>\n    <div class=\"table-row\" role=\"row\">\n      <div class=\"crit\">Periodisk faste<\/div>\n      <div class=\"cell lean\"><span class=\"icn no\"><svg viewbox=\"0 0 12 12\"><path d=\"M3 3 L9 9 M9 3 L3 9\" stroke=\"currentColor\" stroke-width=\"2\" stroke-linecap=\"round\"\/><\/svg><\/span> Utenfor omfang<\/div>\n      <div class=\"cell\"><span class=\"icn ok\"><svg viewbox=\"0 0 12 12\"><path d=\"M2 6.5 L5 9 L10 3.5\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2\" stroke-linecap=\"round\" stroke-linejoin=\"round\"\/><\/svg><\/span> 20 trackere, 16:8 gratis, PRO-programmer<\/div>\n    <\/div>\n    <div class=\"table-row\" role=\"row\">\n      <div class=\"crit\">Guidede oppskrifter<\/div>\n      <div class=\"cell lean\"><span class=\"icn no\"><svg viewbox=\"0 0 12 12\"><path d=\"M3 3 L9 9 M9 3 L3 9\" stroke=\"currentColor\" stroke-width=\"2\" stroke-linecap=\"round\"\/><\/svg><\/span> Utenfor omfang<\/div>\n      <div class=\"cell\"><span class=\"icn ok\"><svg viewbox=\"0 0 12 12\"><path d=\"M2 6.5 L5 9 L10 3.5\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2\" stroke-linecap=\"round\" stroke-linejoin=\"round\"\/><\/svg><\/span> 3 000+ oppskrifter<\/div>\n    <\/div>\n    <div class=\"table-row\" role=\"row\">\n      <div class=\"crit\">EU-dekning og lokalisering<\/div>\n      <div class=\"cell lean\"><span class=\"icn ok\"><svg viewbox=\"0 0 12 12\"><path d=\"M2 6.5 L5 9 L10 3.5\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2\" stroke-linecap=\"round\" stroke-linejoin=\"round\"\/><\/svg><\/span> FR, EN, ES, PT, IT, DE, PL, HU<\/div>\n      <div class=\"cell\"><span class=\"icn ok\"><svg viewbox=\"0 0 12 12\"><path d=\"M2 6.5 L5 9 L10 3.5\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2\" stroke-linecap=\"round\" stroke-linejoin=\"round\"\/><\/svg><\/span> EU-leder, 20 spr\u00e5k, sterk i DE\/AT\/CH<\/div>\n    <\/div>\n    <div class=\"table-row\" role=\"row\">\n      <div class=\"crit\">Omd\u00f8mme og publikumsst\u00f8rrelse<\/div>\n      <div class=\"cell lean\"><span class=\"icn ok\"><svg viewbox=\"0 0 12 12\"><path d=\"M2 6.5 L5 9 L10 3.5\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2\" stroke-linecap=\"round\" stroke-linejoin=\"round\"\/><\/svg><\/span> 4,7\/5, 10&nbsp;000+ brukere, ung fransk app<\/div>\n      <div class=\"cell\"><span class=\"icn ok\"><svg viewbox=\"0 0 12 12\"><path d=\"M2 6.5 L5 9 L10 3.5\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2\" stroke-linecap=\"round\" stroke-linejoin=\"round\"\/><\/svg><\/span> 4,6\/5, 100M brukere, grunnlagt 2014<\/div>\n    <\/div>\n    <div class=\"table-row\" role=\"row\">\n      <div class=\"crit\">Forretningsmodell<\/div>\n      <div class=\"cell lean\"><span class=\"icn ok\"><svg viewbox=\"0 0 12 12\"><path d=\"M2 6.5 L5 9 L10 3.5\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2\" stroke-linecap=\"round\" stroke-linejoin=\"round\"\/><\/svg><\/span> Premium, 7 dagers gratis pr\u00f8veperiode p\u00e5 \u00e5rsabonnementet<\/div>\n      <div class=\"cell\"><span class=\"icn ok\"><svg viewbox=\"0 0 12 12\"><path d=\"M2 6.5 L5 9 L10 3.5\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2\" stroke-linecap=\"round\" stroke-linejoin=\"round\"\/><\/svg><\/span> Freemium, PRO p\u00e5 pr\u00f8ve<\/div>\n    <\/div>\n  <\/div>\n<\/section>\n\n<section aria-labelledby=\"tracking\" class=\"rev\">\n  <div class=\"section-label\"><span class=\"bar\"><\/span><span class=\"num\">06 &middot; Sporing<\/span><\/div>\n  <h2 id=\"tracking\">3 metoder for \u00e5 logge et m\u00e5ltid<\/h2>\n  <p>Yazio forsto f\u00f8r mange andre at ergonomi skaper etterlevelse. Lean tar samme logikk videre p\u00e5 loggingen&nbsp;: tre registreringsmetoder, slik at ingen situasjon blir en grunn til \u00e5 gi opp.<\/p>\n\n  <div class=\"mini-row\">\n    <div>\n      <div class=\"mini-phone\"><div class=\"notch\"><\/div><div class=\"scr\"><img src=\"https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-database.webp\" alt=\"Recherche dans la base de donn\u00e9es USDA + OpenFoodFacts\" width=\"1179\" height=\"2556\" loading=\"lazy\" decoding=\"async\" \/><\/div><\/div>\n      <div class=\"mini-cap\">Metode 1<strong>Database<\/strong><\/div>\n    <\/div>\n    <div>\n      <div class=\"mini-phone\"><div class=\"notch\"><\/div><div class=\"scr\"><img src=\"https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-codebarre.webp\" alt=\"Scan de code-barres dans Lean\" width=\"1179\" height=\"2556\" loading=\"lazy\" decoding=\"async\" \/><\/div><\/div>\n      <div class=\"mini-cap\">Metode 2<strong>Strekkode<\/strong><\/div>\n    <\/div>\n    <div>\n      <div class=\"mini-phone\"><div class=\"notch\"><\/div><div class=\"scr\"><img src=\"https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-scania.webp\" alt=\"Scan photo IA d'un plat\" width=\"1179\" height=\"2556\" loading=\"lazy\" decoding=\"async\" \/><\/div><\/div>\n      <div class=\"mini-cap\">Metode 3<strong>AI-fotoskanning<\/strong><\/div>\n    <\/div>\n  <\/div>\n\n  <ol>\n    <li><strong>S\u00f8k i databasen.<\/strong> Kuratert base, USDA + OpenFoodFacts. Ingen st\u00f8y fra brukere, ingen \u00ab&nbsp;Grillet kylling&nbsp;\u00bb lagt inn 47 ganger av 47 ulike brukere med 47 ulike verdier.<\/li>\n    <li><strong>Strekkodeskanning.<\/strong> Standard. Du skanner pastapakken din, du f\u00e5r makroene.<\/li>\n    <li><strong>AI-fotoskanning av en rett.<\/strong> Du tar bilde av tallerkenen din, AI-en gjenkjenner matvarene, du f\u00e5r kalorier og makroer per matvare.<\/li>\n  <\/ol>\n  <p>AI-fotoskanningen tar over n\u00e5r verken basen eller strekkoden holder&nbsp;: en hjemmelaget rett, en tallerken p\u00e5 restaurant. Ett foto, og det er logget.<\/p>\n  <p>Utover m\u00e5ltidet viser Lean en TDEE som beveger seg i l\u00f8pet av dagen&nbsp;: skrittene dine f\u00e5r kalorim\u00e5let ditt til \u00e5 stige direkte, der en aktivitetskoeffisient valgt ved registreringen forblir identisk hver dag.<\/p>\n  <p>Og for \u00e5 prioritere, Progresjonspyramiden&nbsp;:<\/p>\n\n  <div class=\"pyramid\" aria-label=\"Leans Progresjonspyramide\">\n    <div class=\"level l1\"><span>Etterlevelse<\/span><span class=\"k\">Grunnmur<\/span><\/div>\n    <div class=\"level l2\"><span>Kalorim\u00e5l<\/span><span class=\"k\">Etasje 2<\/span><\/div>\n    <div class=\"level l3\"><span>Skritt \/ NEAT<\/span><span class=\"k\">Etasje 3<\/span><\/div>\n    <div class=\"level l4\"><span>Makron\u00e6ringsstoffer<\/span><span class=\"k\">Topp<\/span><\/div>\n  <\/div>\n  <div class=\"pyramid-cap\">Ikke hopp over trinn. Hvis du ikke er regelmessig i loggingen, er det nyttel\u00f8st \u00e5 optimalisere makroene p\u00e5 prosenten.<\/div>\n<\/section>\n\n<section aria-labelledby=\"yazio-better\" class=\"rev\">\n  <div class=\"section-label\"><span class=\"bar\"><\/span><span class=\"num\">07 &middot; \u00c6rlighet<\/span><\/div>\n  <h2 id=\"yazio-better\">Det Yazio gj\u00f8r bedre<\/h2>\n  <p>Lean er ikke perfekt, og Yazio har flere reelle styrker man m\u00e5 anerkjenne. \u00c6rlig lesning, kriterium for kriterium, p\u00e5 aksene der Yazio fortsatt leder.<\/p>\n\n  <div class=\"scorecard rev\" aria-label=\"Scorecard Yazio overfor Lean p\u00e5 4 sekund\u00e6re akser\">\n    <div class=\"scorecard-head\">\n      <div class=\"h-crit\">Akse<\/div>\n      <div class=\"h-brand\"><img src=\"https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/logo-yazio-real.webp\" alt=\"\" width=\"512\" height=\"512\" loading=\"lazy\" decoding=\"async\" \/> Yazio<\/div>\n      <div class=\"h-brand\"><img src=\"https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-logo-lean-square-scaled.webp\" alt=\"\" width=\"512\" height=\"512\" loading=\"lazy\" decoding=\"async\" \/> Lean<\/div>\n    <\/div>\n    <div class=\"scorecard-row\">\n      <div class=\"crit\">Innebygd periodisk faste<\/div>\n      <div class=\"bar mfp\" data-brand=\"YAZIO\"><div class=\"b\"><i style=\"width:95%\"><\/i><\/div><div class=\"v\">9,5<\/div><\/div>\n      <div class=\"bar lean\" data-brand=\"LEAN\"><div class=\"b\"><i style=\"width:45%\"><\/i><\/div><div class=\"v\">4,5<\/div><\/div>\n    <\/div>\n    <div class=\"scorecard-row\">\n      <div class=\"crit\">Guidede oppskrifter<\/div>\n      <div class=\"bar mfp\" data-brand=\"YAZIO\"><div class=\"b\"><i style=\"width:90%\"><\/i><\/div><div class=\"v\">9,0<\/div><\/div>\n      <div class=\"bar lean\" data-brand=\"LEAN\"><div class=\"b\"><i style=\"width:15%\"><\/i><\/div><div class=\"v\">1,5<\/div><\/div>\n    <\/div>\n    <div class=\"scorecard-row\">\n      <div class=\"crit\">EU-dekning og lokalisering<\/div>\n      <div class=\"bar mfp\" data-brand=\"YAZIO\"><div class=\"b\"><i style=\"width:90%\"><\/i><\/div><div class=\"v\">9,0<\/div><\/div>\n      <div class=\"bar lean\" data-brand=\"LEAN\"><div class=\"b\"><i style=\"width:80%\"><\/i><\/div><div class=\"v\">8,0<\/div><\/div>\n    <\/div>\n    <div class=\"scorecard-row\">\n      <div class=\"crit\">Publikumsst\u00f8rrelse og anmeldelser<\/div>\n      <div class=\"bar mfp\" data-brand=\"YAZIO\"><div class=\"b\"><i style=\"width:95%\"><\/i><\/div><div class=\"v\">9,5<\/div><\/div>\n      <div class=\"bar lean\" data-brand=\"LEAN\"><div class=\"b\"><i style=\"width:30%\"><\/i><\/div><div class=\"v\">3,0<\/div><\/div>\n    <\/div>\n  <\/div>\n\n  <p style=\"margin-top:30px\"><strong>\u00c6rlig lesning.<\/strong> P\u00e5 periodisk faste er Yazio referansen i forbrukermarkedet: 20 trackere, 16:8 gratis, guidede programmer i PRO. Lean hindrer deg slett ikke i \u00e5 praktisere 16:8 eller enhver annen spisevindu-protokoll, appen dreier seg bare ikke om det. P\u00e5 oppskrifter er 3 000+ internt laget oppf\u00f8ringer med ukeplan en standard Yazio dominerer. P\u00e5 EU-dekning og lokalisering er Lean ogs\u00e5 solid (fransk, engelsk, spansk, portugisisk, italiensk, tysk, polsk, ungarsk), Yazio er fortsatt sterkere i DE\/AT\/CH og har 12 \u00e5rs forsprang i europeisk kjennskap.<\/p>\n  <p>Hvis hovedvinkelen din er strukturert faste eller pedagogikk rundt spisevinduer, er Yazio mer relevant enn Lean. Hvis vinkelen din er presisjonen i <a class=\"inline\" href=\"https:\/\/lean-app.com\/no\/tdee-calculator\/\">TDEE-beregning<\/a>, fettprosenten m\u00e5lt hver uke, og den automatiske metabolske tilpasningen, er det n\u00f8yaktig det som nettopp er vist i de 3 foreg\u00e5ende avsnittene.<\/p>\n<\/section>\n\n<section aria-labelledby=\"forwho\" class=\"rev\">\n  <div class=\"section-label\"><span class=\"bar\"><\/span><span class=\"num\">08 &middot; For hvem<\/span><\/div>\n  <h2 id=\"forwho\">Hvem Lean er laget for<\/h2>\n  <p>4 profiler. Kjenner du deg igjen i minst \u00e9n, er Lean trolig laget for deg.<\/p>\n\n  <div class=\"persona\">\n    <div class=\"persona-it match\">\n      <div class=\"pic\"><svg viewbox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2.4\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><path d=\"M3 12 L9 18 L21 5\"\/><\/svg><\/div>\n      <div>\n        <h4>Du har brukt Yazio seri\u00f8st og ikke g\u00e5tt ned<\/h4>\n        <p>Du har fulgt et \u00e6rlig underskudd i ukevis, uten resultat. \u00c5rsaken er h\u00f8yst sannsynlig den feilaktige TDEE-en. Lean retter det ved roten via BMR p\u00e5 reell fettprosent.<\/p>\n      <\/div>\n    <\/div>\n    <div class=\"persona-it match\">\n      <div class=\"pic\"><svg viewbox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2.4\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><path d=\"M3 12 L9 18 L21 5\"\/><\/svg><\/div>\n      <div>\n        <h4>Du stagnerer etter flere uker med deff<\/h4>\n        <p>Plat\u00e5 som varer etter 4 til 8 uker. Det er den metabolske tilpasningen. Lean beregner den automatisk og justerer m\u00e5let ditt hver uke.<\/p>\n      <\/div>\n    <\/div>\n    <div class=\"persona-it match\">\n      <div class=\"pic\"><svg viewbox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2.4\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><path d=\"M3 12 L9 18 L21 5\"\/><\/svg><\/div>\n      <div>\n        <h4>Du vil forst\u00e5 stoffskiftet ditt<\/h4>\n        <p>Lean viser hver komponent (BMR, NEAT, EAT, TEF) og forklarer deretter tilpasningen separat, i stedet for \u00e5 skjule alt bak ett enkelt tall. Du ser hvor hver forbrukt kcal kommer fra.<\/p>\n      <\/div>\n    <\/div>\n    <div class=\"persona-it match\">\n      <div class=\"pic\"><svg viewbox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2.4\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><path d=\"M3 12 L9 18 L21 5\"\/><\/svg><\/div>\n      <div>\n        <h4>Du vil ha en logging som varer i 12 m\u00e5neder<\/h4>\n        <p>AI-fotoskanning + kuratert base + strekkode dekker alle bruksomr\u00e5der, fra r\u00e5varen til pizzaen p\u00e5 restaurant. Det er det som utgj\u00f8r forskjellen mellom \u00e5 holde ut og \u00e5 gi opp.<\/p>\n      <\/div>\n    <\/div>\n  <\/div>\n\n  <p style=\"margin-top:30px\"><strong>Yazio kan holde for<\/strong>&nbsp;: strukturert periodisk faste, guidede oppskrifter, eller en enkel oppf\u00f8lging uten \u00e5 dykke ned i TDEE-vitenskapen. Presis kaloriberegning er rett og slett ikke en del av l\u00f8ftet.<\/p>\n<\/section>\n\n<section aria-labelledby=\"migrate\" class=\"rev\">\n  <div class=\"section-label\"><span class=\"bar\"><\/span><span class=\"num\">09 &middot; Migrasjon<\/span><\/div>\n  <h2 id=\"migrate\">Bytt fra Yazio til Lean p\u00e5 3 minutter<\/h2>\n\n  <div class=\"steps\">\n    <div class=\"step\"><div class=\"sn\">01<\/div><h4>Last ned Lean<\/h4><p>App Store eller Play Store. Registrering p\u00e5 30 sekunder.<\/p><\/div>\n    <div class=\"step\"><div class=\"sn\">02<\/div><h4>AI BodyScan<\/h4><p>Ett foto, 5 sekunder. Du f\u00e5r fettprosenten din.<\/p><\/div>\n    <div class=\"step\"><div class=\"sn\">03<\/div><h4>Vekt &amp; h\u00f8yde<\/h4><p>Du oppgir vekten og h\u00f8yden din. Det er alt.<\/p><\/div>\n    <div class=\"step\"><div class=\"sn\">04<\/div><h4>Lean beregner<\/h4><p>BMR p\u00e5 reell fettprosent, NEAT via HealthKit \/ Google Fit (reelle skritt), EAT per MET, TEF per makroer, pluss den metabolske tilpasningen som modulerer BMR. Automatisk.<\/p><\/div>\n    <div class=\"step\"><div class=\"sn\">05<\/div><h4>Logg et m\u00e5ltid<\/h4><p>Foto, strekkode eller database. Du forst\u00e5r flyten.<\/p><\/div>\n  <\/div>\n\n  <p style=\"margin-top:24px\"><strong>Viktig merknad.<\/strong> Lean importerer ikke Yazio-oppskriftene dine automatisk. Vil du beholde favorittrettene dine, kan du gjenskape dem manuelt som Lean-favoritter. Synkroniseringen HealthKit \/ Google Health Connect tar derimot over umiddelbart for skrittene dine og aktivitetshistorikken din.<\/p>\n\n  <div class=\"cta-band rev\" style=\"display:flex;align-items:center;justify-content:space-between;gap:20px;flex-wrap:wrap;padding:26px 28px;margin:40px 0;background:#FAF5EE;border:1px solid #E8E2D6;border-radius:16px\">\n    <div class=\"l\" style=\"flex:1;min-width:240px;font-size:18px;line-height:1.4;font-weight:500;color:#0E0E10\">Last ned Lean og start AI BodyScan n\u00e5. Gratis registrering.<\/div>\n    <div class=\"stores\" style=\"display:flex;gap:10px;align-items:center;flex-wrap:wrap\">\n      <a href=\"https:\/\/apps.apple.com\/fr\/app\/lean-calorie-ai-podometre\/id6738668646?utm_source=seo&#038;utm_medium=blog&#038;utm_campaign=vs-yazio\" target=\"_blank\" rel=\"noopener\"><img src=\"https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-appstore-official.webp\" alt=\"App Store\" width=\"413\" height=\"122\" loading=\"lazy\" decoding=\"async\" style=\"height:48px;width:auto;border-radius:9px;display:block\" \/><\/a>\n      <a href=\"https:\/\/play.google.com\/store\/apps\/details?id=com.lean.testsqflite&#038;utm_source=seo&#038;utm_medium=blog&#038;utm_campaign=vs-yazio\" target=\"_blank\" rel=\"noopener\"><img src=\"https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-googleplay-official.webp\" alt=\"Google Play\" width=\"315\" height=\"95\" loading=\"lazy\" decoding=\"async\" style=\"height:48px;width:auto;border-radius:9px;display:block\" \/><\/a>\n    <\/div>\n  <\/div>\n<\/section>\n\n<section aria-labelledby=\"deblock-h\" class=\"rev\">\n  <div class=\"section-label\"><span class=\"bar\"><\/span><span class=\"num\">10 &middot; Det Lean l\u00e5ser opp<\/span><\/div>\n  <h2 id=\"deblock-h\">Det Lean gj\u00f8r, og som Yazio aldri vil gj\u00f8re<\/h2>\n  <p>Seks funksjoner som ikke finnes i noen annen forbrukertracker. Alle f\u00f8lger av samme prinsipp&nbsp;: beregne hver TDEE-komponent presist, ikke tiln\u00e6rme den.<\/p>\n\n  <div class=\"feat-stack\">\n    <div class=\"feat-it\"><div class=\"fn\">01<\/div><div><div class=\"ft\">Ubegrenset AI BodyScan<\/div><p class=\"fd\">Din reelle fettprosent, m\u00e5lt fra ett enkelt foto, gjentatt hver uke. Det er dataen som endrer hele BMR-beregningen. Ingen annen forbrukerapp tilbyr det.<\/p><\/div><div class=\"fc\">Fettprosent<\/div><\/div>\n    <div class=\"feat-it\"><div class=\"fn\">02<\/div><div><div class=\"ft\">Ubegrenset AI-fotoskanning av en rett<\/div><p class=\"fd\">Logg restaurantm\u00e5ltidet ditt p\u00e5 2 sekunder. Ingen vekt, ingen manuell inntasting. Game changeren for etterlevelse over 12 m\u00e5neder.<\/p><\/div><div class=\"fc\">Etterlevelse<\/div><\/div>\n    <div class=\"feat-it\"><div class=\"fn\">03<\/div><div><div class=\"ft\">Automatisk metabolsk tilpasning<\/div><p class=\"fd\">TDEE-en din justeres uke for uke etter vitenskapelig etablerte tall. Du unng\u00e5r plat\u00e5ene ingen klarer \u00e5 forklare.<\/p><\/div><div class=\"fc\">Tilpasning<\/div><\/div>\n    <div class=\"feat-it\"><div class=\"fn\">04<\/div><div><div class=\"ft\">Oppdelt TDEE live<\/div><p class=\"fd\">BMR + NEAT + EAT + TEF vist hver for seg, oppdatert i l\u00f8pet av dagen. Ikke lenger et tall frosset klokka 8 om morgenen. Du ser kaloribalansen din direkte.<\/p><\/div><div class=\"fc\">Live<\/div><\/div>\n    <div class=\"feat-it\"><div class=\"fn\">05<\/div><div><div class=\"ft\">Komplett historikk og trender<\/div><p class=\"fd\">F\u00f8lg trendene dine for vekt, fettprosent og fettfri masse over m\u00e5neder. Forst\u00e5 syklusene dine. Se fasene der du gj\u00f8r fremgang og de der du stagnerer.<\/p><\/div><div class=\"fc\">Historikk<\/div><\/div>\n    <div class=\"feat-it\"><div class=\"fn\">06<\/div><div><div class=\"ft\">3 samlede sporingsmetoder<\/div><p class=\"fd\">Foto, strekkode, kuratert base. Ingen annen app tilbyr alle tre med en slik presisjon. Du velger metode etter situasjonen.<\/p><\/div><div class=\"fc\">Sporing<\/div><\/div>\n  <\/div>\n\n  <p style=\"margin-top:26px\">Du installerer appen gratis, tester uten forpliktelse, og bestemmer deretter om verkt\u00f8yet passer m\u00e5let ditt.<\/p>\n<\/section>\n\n<section aria-labelledby=\"faq-h\" class=\"rev\">\n  <div class=\"section-label\"><span class=\"bar\"><\/span><span class=\"num\">11 &middot; FAQ<\/span><\/div>\n  <h2 id=\"faq-h\">Ofte stilte sp\u00f8rsm\u00e5l<\/h2>\n  <div class=\"faq\">\n    <details><summary>Yazio bruker Mifflin-St Jeor, det er moderne, hvorfor kritiserer du det&nbsp;?<\/summary><div class=\"ans\">Mifflin-St Jeor (1990) retter marginalt Harris-Benedict (1919), men arver samme konseptuelle feil&nbsp;: ingen fettprosent som inndata. Frankenfield 2013 (PubMed 23631843) m\u00e5ler 75&nbsp;% n\u00f8yaktighet hos personer med fedme mot 87&nbsp;% hos dem uten. Er fettprosenten din h\u00f8y, kan feilen p\u00e5 BMR-en din overstige 250 til 315&nbsp;kcal per dag.<\/div><\/details>\n    <details><summary>Yazio har sv\u00e6rt gode vurderinger (4,6) og 100&nbsp;M brukere, hvordan kan den v\u00e6re d\u00e5rlig&nbsp;?<\/summary><div class=\"ans\">Yazio er utmerket p\u00e5 brukeropplevelse, periodisk faste og biblioteket med guidede oppskrifter. Det vi stiller sp\u00f8rsm\u00e5l ved her, er utelukkende presisjonen i TDEE-beregningen, som er kjernen i l\u00f8ftet \u00abcalorie tracker\u00bb. Et stort publikum bekrefter kvaliteten p\u00e5 forbrukerproduktet, det bekrefter ikke den vitenskapelige presisjonen i formelen.<\/div><\/details>\n    <details><summary>Og periodisk faste i Lean&nbsp;?<\/summary><div class=\"ans\">Ikke innebygd. Lean tilbyr verken 16:8-timer eller guidet fasteprogram. Er det hovedvinkelen din, er Yazio mer relevant. Lean er laget for TDEE-beregning og kroppsrekomposisjon, ikke for \u00e5 strukturere spisevinduer.<\/div><\/details>\n    <details><summary>Yazio synkroniserer med Apple Helse og Google Fit, holder ikke det for NEAT&nbsp;?<\/summary><div class=\"ans\">Yazio fanger skritt og aktivitet via HealthKit \/ Google Fit, men bruker dem til seksjonen \u00abAktiviteter\u00bb og anslaget p\u00e5 kalorier forbrent under trening, ikke til \u00e5 beregne TDEE-en din p\u00e5 nytt kontinuerlig. PAL-en valgt ved registreringen (1,2 \/ 1,375 \/ 1,55 \/ 1,725 \/ 1,9) forblir grunnlaget for beregningen. Lean setter derimot NEAT-en din sammen av reelle skritt hver dag.<\/div><\/details>\n    <details><summary>Er Lean freemium eller betalt&nbsp;?<\/summary><div class=\"ans\">Lean er Premium, med 7 dagers gratis pr\u00f8veperiode p\u00e5 \u00e5rsabonnementet. Du laster ned, tester AI BodyScan, AI-fotoskanning av en rett, TDEE-rekomposisjon, uten forpliktelse. Passer verkt\u00f8yet m\u00e5let ditt, fortsetter du. Hvis ikke, deaktiverer du fornyelsen f\u00f8r pr\u00f8veperioden er over.<\/div><\/details>\n  <\/div>\n<\/section>\n\n<section aria-labelledby=\"conclu\" class=\"rev\">\n  <div class=\"section-label\"><span class=\"bar\"><\/span><span class=\"num\">12 &middot; Konklusjon<\/span><\/div>\n  <h2 id=\"conclu\">1990 mot 2026<\/h2>\n  <p>Det er ikke Yazio mot Lean i markedsf\u00f8ring. Det er 1990 mot 2026 i vitenskap.<\/p>\n  <p>Yazio bruker Mifflin-St Jeor, en formel publisert i 1990, pluss et fastl\u00e5st aktivitetsniv\u00e5 du krysser av \u00e9n eneste gang ved registreringen (\u00e9n av 5 PAL-bokser: 1,2 \/ 1,375 \/ 1,55 \/ 1,725 \/ 1,9), og ignorerer den metabolske tilpasningen. Kombinasjonen av de tre gj\u00f8r enhver presis oppf\u00f8lging umulig utover noen uker. Det er matematikk.<\/p>\n  <p>Lean ble bygget for \u00e5 gj\u00f8re n\u00f8yaktig det motsatte&nbsp;: BMR basert p\u00e5 <a class=\"inline\" href=\"https:\/\/lean-app.com\/no\/depense-energetique-totale-v2\/\">reelle fettprosent<\/a> (m\u00e5lt med AI BodyScan) via en patentert propriet\u00e6r modell, <a class=\"inline\" href=\"https:\/\/lean-app.com\/no\/neat-depense-non-sportive\/\">NEAT per reelle skritt<\/a>, EAT per idrett og MET, <a class=\"inline\" href=\"https:\/\/lean-app.com\/no\/effet-thermique-des-aliments\/\">TEF per makroer<\/a>, pluss den metabolske tilpasningen som modulerer BMR uke for uke. Hver komponent beregnet presist, uten magisk koeffisient.<\/p>\n  <p>Yazio er fortsatt sv\u00e6rt solid p\u00e5 periodisk faste og oppskriftsbiblioteket. Hvis du har pr\u00f8vd Yazio seri\u00f8st og ikke fikk resultatene du h\u00e5pet p\u00e5 i deffen din, er problemet ikke deg. Problemet ligger under panseret. Bytt app.<\/p>\n<\/section>\n\n<div class=\"get-band rev\" style=\"background:#F1E9DC;border-radius:24px;padding:48px 36px;margin:60px 0 40px;text-align:center\">\n  <div class=\"kicker\">Nedlasting<\/div>\n  <h3>Lean kan lastes ned gratis<\/h3>\n  <p>iOS og Android. AI BodyScan fungerer med ett enkelt foto. Ingen hudfoldsm\u00e5ler, ingen impedansvekt, ingen DEXA.<\/p>\n  <div class=\"stores\" style=\"display:flex;gap:10px;align-items:center;flex-wrap:wrap\">\n      <a href=\"https:\/\/apps.apple.com\/fr\/app\/lean-calorie-ai-podometre\/id6738668646?utm_source=seo&#038;utm_medium=blog&#038;utm_campaign=vs-yazio\" target=\"_blank\" rel=\"noopener\" aria-label=\"Last ned Lean fra App Store\">\n      <img src=\"https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-appstore-official.webp\" alt=\"App Store\" width=\"413\" height=\"122\" loading=\"lazy\" decoding=\"async\" style=\"height:48px;width:auto;border-radius:9px;display:block\" \/>\n    <\/a>\n    <a href=\"https:\/\/play.google.com\/store\/apps\/details?id=com.lean.testsqflite&#038;utm_source=seo&#038;utm_medium=blog&#038;utm_campaign=vs-yazio\" target=\"_blank\" rel=\"noopener\" aria-label=\"Last ned Lean fra Google Play\">\n      <img src=\"https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-googleplay-official.webp\" alt=\"Google Play\" width=\"315\" height=\"95\" loading=\"lazy\" decoding=\"async\" style=\"height:48px;width:auto;border-radius:9px;display:block\" \/>\n    <\/a>\n  <\/div>\n<\/div>\n\n<section aria-labelledby=\"links\">\n  <div class=\"section-label\"><span class=\"bar\"><\/span><span class=\"num\">G\u00e5 videre<\/span><\/div>\n  <h3 id=\"links\" style=\"margin-top:0\">Interne lenker<\/h3>\n  <ul>\n    <li><a class=\"inline\" href=\"https:\/\/lean-app.com\/no\/tdee-calculator\/\">Gratis TDEE-kalkulator p\u00e5 nett<\/a> &middot; nettversjon, uten registrering, samme logikk som appen (BMR + NEAT + EAT + TEF).<\/li>\n    <li><a class=\"inline\" href=\"https:\/\/lean-app.com\/no\/depense-energetique-totale-v2\/\">Forst\u00e5 TDEE i detalj (BMR, NEAT, EAT, TEF, tilpasning)<\/a> &middot; dyptg\u00e5ende vitenskapelig artikkel.<\/li>\n    <li><a class=\"inline\" href=\"https:\/\/lean-app.com\/no\/comment-compter-ses-calories\/\">Slik teller du kaloriene dine riktig<\/a> &middot; praktisk guide for nybegynnere.<\/li>\n    <li><a class=\"inline\" href=\"https:\/\/lean-app.com\/no\/neat-depense-non-sportive\/\">NEAT&nbsp;: forbruk per skritt og aktivitet utenom trening<\/a>.<\/li>\n    <li><a class=\"inline\" href=\"https:\/\/lean-app.com\/no\/effet-thermique-des-aliments\/\">TEF&nbsp;: ford\u00f8yelsen forbrenner kalorier<\/a>.<\/li>\n  <\/ul>\n<\/section>\n\n<section aria-labelledby=\"src\" class=\"sources\">\n  <div class=\"section-label\"><span class=\"bar\"><\/span><span class=\"num\">Kilder<\/span><\/div>\n  <h3 id=\"src\" style=\"margin-top:0;color:var(--ink)\">Bibliografi<\/h3>\n  <ol>\n    <li>Harris J.A., Benedict F.G. (1919). A Biometric Study of Basal Metabolism in Man. Carnegie Institution of Washington.<\/li>\n    <li>Mifflin M.D. et al. (1990). A new predictive equation for resting energy expenditure in healthy individuals. American Journal of Clinical Nutrition.<\/li>\n    <li>Shcherbina A. et al. (Stanford University, 2017). Accuracy in Wrist-Worn Wearable Devices for Measuring Heart Rate and Energy Expenditure.<\/li>\n    <li>Westerterp K.R. (2004). Diet induced thermogenesis. Nutrition and Metabolism.<\/li>\n    <li>Rosenbaum M., Leibel R.L. (2010). Adaptive thermogenesis in humans. International Journal of Obesity.<\/li>\n    <li>M\u00fcller M.J., Bosy-Westphal A. (2013). Adaptive thermogenesis with weight loss in humans. Obesity.<\/li>\n  <\/ol>\n<\/section>\n\n<\/main>\n\n<footer>\n  <div class=\"wrap\">\n    <div class=\"row\">\n      <div>\n        <div class=\"kicker\">Lean &middot; lean-app.com<\/div>\n        <p>Artikkel publisert 23. mai 2026. Oppdateres jevnlig med tilbakemeldinger fra brukere og nye relevante studier. Lean er tilgjengelig p\u00e5 iOS og Android.<\/p>\n      <\/div>\n      <div class=\"stores\" style=\"display:flex;gap:10px;align-items:center;flex-wrap:wrap\">\n      <a href=\"https:\/\/apps.apple.com\/fr\/app\/lean-calorie-ai-podometre\/id6738668646?utm_source=seo&#038;utm_medium=blog&#038;utm_campaign=vs-yazio\" target=\"_blank\" rel=\"noopener\"><img src=\"https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-appstore-official.webp\" alt=\"App Store\" width=\"413\" height=\"122\" loading=\"lazy\" decoding=\"async\" style=\"height:48px;width:auto;border-radius:9px;display:block\" \/><\/a>\n        <a href=\"https:\/\/play.google.com\/store\/apps\/details?id=com.lean.testsqflite&#038;utm_source=seo&#038;utm_medium=blog&#038;utm_campaign=vs-yazio\" target=\"_blank\" rel=\"noopener\"><img src=\"https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-googleplay-official.webp\" alt=\"Google Play\" width=\"315\" height=\"95\" loading=\"lazy\" decoding=\"async\" style=\"height:48px;width:auto;border-radius:9px;display:block\" \/><\/a>\n      <\/div>\n    <\/div>\n  <\/div>\n<\/footer>\n\n<script data-wpmeteor-nooptimize=\"true\">\n(function(){\n  var bar = document.getElementById('progBar');\n  function up(){\n    var h = document.documentElement;\n    var sc = (h.scrollTop)\/Math.max(1,(h.scrollHeight - h.clientHeight));\n    bar.style.transform = 'scaleX(' + Math.max(0,Math.min(1,sc)) + ')';\n  }\n  document.addEventListener('scroll', up, {passive:true});\n  up();\n})();\n\n(function(){\n  if (!('IntersectionObserver' in window)) {\n    document.querySelectorAll('.rev').forEach(function(n){n.classList.add('on')});\n    return;\n  }\n  var obs = new IntersectionObserver(function(entries){\n    entries.forEach(function(e){\n      if (e.isIntersecting) { e.target.classList.add('on'); obs.unobserve(e.target); }\n    });\n  }, {threshold:0.12});\n  document.querySelectorAll('.rev').forEach(function(n){ obs.observe(n); });\n})();\n\n(function(){\n  var phoneImg = document.getElementById('phoneImg');\n  var phoneBack = document.getElementById('phoneBack');\n  var zones = document.getElementById('phoneZones');\n  var topTabs = document.querySelectorAll('.phone-tabs button');\n  var navTaps = document.querySelectorAll('.phone-navbar button');\n\n  var tabMap = {\n    bilan:    {src:'https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-screen_bilan.webp',     drill:false},\n    kcal:     {src:'https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-screen_kcal.webp',      drill:false},\n    depense:  {src:'https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-screen_depense.webp',   drill:true},\n    strategie:{src:'https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-screen_strategie.webp', drill:false}\n  };\n  var subMap = {\n    BMR:  'https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-screen_BMR.webp',\n    NEAT: 'https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-screen_NEAT.webp',\n    EAT:  'https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-screen_EAT.webp',\n    TEF:  'https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-screen_TEF.webp'\n  };\n  var currentTab = 'depense';\n\n  function setActive(tab){\n    topTabs.forEach(function(b){ b.classList.toggle('on', b.dataset.tab===tab); });\n  }\n  function showTab(tab){\n    var t = tabMap[tab]; if(!t) return;\n    currentTab = tab;\n    phoneImg.style.opacity = 0;\n    setTimeout(function(){\n      phoneImg.className = 'phone-bg tab-' + tab;\n      phoneImg.style.opacity = 1;\n      zones.style.display = t.drill ? 'block' : 'none';\n      phoneBack.classList.remove('on');\n    }, 150);\n    setActive(tab);\n  }\n  function showSub(sub){\n    var src = subMap[sub]; if(!src) return;\n    phoneImg.style.opacity = 0;\n    setTimeout(function(){\n      phoneImg.className = 'phone-bg sub-' + sub;\n      phoneImg.style.opacity = 1;\n      zones.style.display = 'none';\n      phoneBack.classList.add('on');\n    }, 150);\n  }\n\n  var hintD = document.getElementById('tapHintDesktop');\n  var hintM = document.getElementById('tapHintMobile');\n  function hideHints(){\n    if (hintD) hintD.classList.add('hidden');\n    if (hintM) hintM.classList.add('hidden');\n  }\n\n  topTabs.forEach(function(b){ b.addEventListener('click', function(){ hideHints(); showTab(b.dataset.tab); }); });\n  navTaps.forEach(function(b){ b.addEventListener('click', function(){ hideHints(); showTab(b.dataset.tab); }); });\n  zones.querySelectorAll('.z').forEach(function(z){\n    z.addEventListener('click', function(){ hideHints(); showSub(z.dataset.sub); });\n    z.addEventListener('keydown', function(e){\n      if (e.key==='Enter' || e.key===' ') { e.preventDefault(); hideHints(); showSub(z.dataset.sub); }\n    });\n  });\n  phoneBack.addEventListener('click', function(){ hideHints(); showTab(currentTab); });\n})();\n\n(function chartInit(){\n  if (typeof Chart === 'undefined' || !window['chartjs-plugin-annotation']) { return setTimeout(chartInit, 60); }\n  var PINK = '#FF2D6E';\n  var LEAN_LANG = (((document.documentElement && document.documentElement.lang)||'').toLowerCase().indexOf('en')===0 || location.pathname.indexOf('\/en\/')===0) ? 'en' : 'fr';\n  function T(fr,en){return LEAN_LANG==='en'?en:fr;}\n\n  var YAZIO = '#A8A192';\n  var INK  = '#0E0E10';\n  var MUTE = '#6E6E73';\n  var RULE = '#E8E6DF';\n\n  Chart.defaults.font.family = '-apple-system, \"SF Pro Text\", system-ui, sans-serif';\n  Chart.defaults.color = MUTE;\n\n  \/\/ Plugin custom : trait pointille noir reliant le sommet de la barre Yazio (2500) au sommet de la barre Lean (2000) pour le chart BMR\n  var bmrDeltaLine = {\n    id: 'bmrDeltaLine',\n    afterDatasetsDraw: function(chart){\n      var meta = chart.getDatasetMeta(0);\n      if (!meta || !meta.data || meta.data.length < 2) return;\n      var b1 = meta.data[0], b2 = meta.data[1];\n      if (!b1 || !b2) return;\n      var ctx = chart.ctx;\n      var x1 = b1.x, y1 = b1.y;\n      var x2 = b2.x, y2 = b2.y;\n      ctx.save();\n      ctx.strokeStyle = INK;\n      ctx.lineWidth = 1.5;\n      ctx.setLineDash([6,4]);\n      ctx.beginPath();\n      ctx.moveTo(x1, y1);\n      ctx.lineTo(x2, y1);   \/\/ segment horizontal en haut de la barre Yazio\n      ctx.moveTo(x2, y1);\n      ctx.lineTo(x2, y2);   \/\/ segment vertical jusqu'au sommet de la barre Lean\n      ctx.stroke();\n      ctx.restore();\n    }\n  };\n\n  \/\/ v13.0: eager init (was lazy IntersectionObserver, caused screenshot\/timing issues)\n  function buildAll(){\n    if (document.getElementById('chartBMR'))   { try { buildBMR(); }   catch(e){ console.error('buildBMR', e); } }\n    if (document.getElementById('chartNEAT'))  { try { buildNEAT(); }  catch(e){ console.error('buildNEAT', e); } }\n    if (document.getElementById('chartAdapt')) { try { buildAdapt(); } catch(e){ console.error('buildAdapt', e); } }\n  }\n  if (document.readyState === 'loading') {\n    document.addEventListener('DOMContentLoaded', function(){ requestAnimationFrame(buildAll); });\n  } else {\n    requestAnimationFrame(buildAll);\n  }\n\n  \/\/ Animation des barres horizontales scorecard\n  var scoreObs = new IntersectionObserver(function(entries){\n    entries.forEach(function(e){\n      if (!e.isIntersecting) return;\n      e.target.querySelectorAll('.bar .b > i').forEach(function(i){\n        var w = i.style.width;\n        i.style.width = '0%';\n        requestAnimationFrame(function(){ requestAnimationFrame(function(){ i.style.width = w; }); });\n      });\n      scoreObs.unobserve(e.target);\n    });\n  }, {threshold:0.25});\n  document.querySelectorAll('.scorecard').forEach(function(n){ scoreObs.observe(n); });\n\n  function fmt(n){return LEAN_LANG==='en'?n.toLocaleString('en-US'):n.toLocaleString('fr-FR').replace(',',' ');}\n\n  function buildBMR(){\n    var ctx = document.getElementById('chartBMR').getContext('2d');\n    new Chart(ctx, {\n      type: 'bar',\n      data: {\n        labels: T(['YAZIO\\nMifflin 1990', 'LEAN\\nBrevet\u00e9'],['YAZIO\\nMifflin 1990', 'LEAN\\nPatented']),\n        datasets: [{\n          data: [2500, 2000],\n          backgroundColor: [YAZIO, PINK],\n          borderRadius: 6,\n          maxBarThickness: 110\n        }]\n      },\n      plugins: [bmrDeltaLine],\n      options: {\n        responsive:true, maintainAspectRatio:false, devicePixelRatio: Math.max(2, window.devicePixelRatio||2),\n        animation:{duration:900, easing:'easeOutQuart'},\n        layout:{padding:{top:56, bottom:6, left:14, right:14}},\n        plugins:{\n          legend:{display:false},\n          tooltip:{enabled:false},\n          annotation:{\n            annotations:{\n              lblYAZIO:{type:'label',xValue:0,yValue:2670,content:['2 500'],font:{family:'-apple-system',size:24,weight:'700'},color:INK},\n              lblLEAN:{type:'label',xValue:1,yValue:2170,content:['2 000'],font:{family:'-apple-system',size:24,weight:'700'},color:PINK},\n              delta:{type:'label',xValue:0.5,yValue:2750,content:['\u2212500 kcal'],font:{family:'-apple-system',size:12,weight:'600'},color:'#fff',backgroundColor:INK,borderRadius:14,padding:{x:11,y:5},xAdjust:0,yAdjust:5\/*v17OV*\/}\n            }\n          }\n        },\n        scales:{\n          x:{grid:{display:false,drawBorder:false},ticks:{font:{size:11},color:MUTE,callback:function(v,i){return this.getLabelForValue(v).split('\\n');}},border:{display:false}},\n          y:{beginAtZero:true,max:2900,position:'right',grid:{color:RULE,borderDash:[4,4],drawBorder:false},border:{display:false},ticks:{font:{size:11},color:MUTE,stepSize:1000,callback:function(v){return v===0?'0':fmt(v);}}}\n        }\n      }\n    });\n  }\n\n  function buildNEAT(){\n    var ctx = document.getElementById('chartNEAT').getContext('2d');\n    var labels = T(['Lun','Mar','Mer','Jeu','Ven','Sam','Dim'],['Mon','Tue','Wed','Thu','Fri','Sat','Sun']);\n    var real   = [2100, 2350, 2080, 2950, 2200, 3200, 1800];\n    new Chart(ctx, {\n      type: 'line',\n      data: {\n        labels: labels,\n        datasets: [\n          {label:T('Lean \u00b7 d\u00e9pense r\u00e9elle','Lean \u00b7 actual expenditure'),data:real,borderColor:PINK,backgroundColor:'rgba(255,45,110,0.08)',borderWidth:2.5,pointRadius:5,pointBackgroundColor:'#fff',pointBorderColor:PINK,pointBorderWidth:2,tension:0.35,fill:true},\n          {label:T('Yazio \u00b7 objectif fixe 2 400 kcal','Yazio \u00b7 flat 2,400 kcal target'),data:[2400,2400,2400,2400,2400,2400,2400],borderColor:YAZIO,borderWidth:2.5,borderDash:[8,5],pointRadius:0,tension:0,fill:false}\n        ]\n      },\n      options: {\n        responsive:true, maintainAspectRatio:false, devicePixelRatio: Math.max(2, window.devicePixelRatio||2),\n        animation:{duration:1000, easing:'easeOutQuart'},\n        layout:{padding:{top:function(c){return c.chart.width>=540?80:18;},bottom:function(c){return c.chart.width>=540?34:22;},left:function(c){return c.chart.width>=540?32:8;},right:function(c){return c.chart.width>=540?64:6;}}},\n        plugins:{\n          legend:{display:true, position:'top', align:'start', labels:{boxWidth:14, boxHeight:2, color:MUTE, font:{size:12}, padding:14, usePointStyle:false}},\n          tooltip:{backgroundColor:'#0c0c0c',titleColor:'#fff',bodyColor:'#fff',cornerRadius:8,padding:10,displayColors:false,callbacks:{label:function(c){return fmt(c.parsed.y)+' kcal';}}},\n          annotation:{annotations:{\n            peakSam:{type:'label',xValue:5,yValue:3450,content:function(c){return c.chart.width>=540?T(['Disneyland 15 km','+800 kcal'],['Disneyland 15 km','+800 kcal']):T(['Disneyland','+800 kcal'],['Disneyland','+800 kcal']);},font:{family:'-apple-system',size:10,weight:'600'},color:'#fff',backgroundColor:PINK,borderRadius:10,padding:{x:9,y:5},textAlign:'center',xAdjust:function(c){return c.chart.width>=540?-26:-32;}},\n            peakJeu:{type:'label',xValue:3,yValue:function(c){return c.chart.width>=540?3300:2800;},content:function(c){return c.chart.width>=540?T(['Footing + bureau debout'],['Jogging + standing desk']):T(['Footing','bureau debout'],['Jogging','standing desk']);},font:{family:'-apple-system',size:10,weight:'600'},color:'#fff',backgroundColor:INK,borderRadius:10,padding:{x:9,y:5}},\n            dipDim:{type:'label',xValue:6,yValue:1620,content:function(c){return c.chart.width>=540?T(['Canap\u00e9 Netflix','\u2212600 kcal'],['Netflix on the couch','\u2212600 kcal']):T(['Canap\u00e9','\u2212600 kcal'],['Couch','\u2212600 kcal']);},font:{family:'-apple-system',size:10,weight:'600'},color:'#fff',backgroundColor:'#5a5a5e',borderRadius:10,padding:{x:9,y:5},textAlign:'center',xAdjust:function(c){return c.chart.width>=540?-46:-28;}},\n            yazioTag:{type:'label',xValue:function(c){return c.chart.width>=540?0.55:1.0;},yValue:function(c){return c.chart.width>=540?2510:2750;},content:function(c){return c.chart.width>=540?T(['Yazio fixe : 2 400'],['Yazio flat: 2,400']):T(['Yazio fixe','2 400'],['Yazio flat','2,400']);},font:{family:'-apple-system',size:10,weight:'600'},color:'#fff',backgroundColor:YAZIO,borderRadius:10,padding:{x:9,y:4}}\n          }}\n        },\n        scales:{\n          x:{grid:{display:false,drawBorder:false},ticks:{font:{size:11},color:MUTE},border:{display:false}},\n          y:{min:1400,max:3800,position:'right',grid:{color:RULE,borderDash:[4,4],drawBorder:false},border:{display:false},ticks:{font:{size:11},color:MUTE,stepSize:500,callback:function(v){return fmt(v);}}}\n        }\n      }\n    });\n  }\n\n  function buildAdapt(){\n    var ctx = document.getElementById('chartAdapt').getContext('2d');\n    var labels = T(['S.1','S.2','S.3','S.4','S.5','S.6','S.7','S.8'],['W.1','W.2','W.3','W.4','W.5','W.6','W.7','W.8']);\n    var lean = [2500, 2470, 2420, 2350, 2280, 2230, 2180, 2150];\n    var yazio = [2500, 2500, 2500, 2500, 2500, 2500, 2500, 2500];\n    new Chart(ctx, {\n      type:'line',\n      data:{labels:labels,datasets:[\n        {label:T('Lean \u00b7 TDEE r\u00e9elle adapt\u00e9e','Lean \u00b7 actual adapted TDEE'),data:lean,borderColor:PINK,backgroundColor:'rgba(255,45,110,0.10)',borderWidth:2.5,pointRadius:4,pointBackgroundColor:'#fff',pointBorderColor:PINK,pointBorderWidth:2,tension:0.35,fill:true},\n        {label:T('Yazio \u00b7 objectif fig\u00e9','Yazio \u00b7 frozen target'),data:yazio,borderColor:YAZIO,borderWidth:2.5,borderDash:[8,5],pointRadius:0,tension:0,fill:false}\n      ]},\n      options:{\n        responsive:true, maintainAspectRatio:false, devicePixelRatio: Math.max(2, window.devicePixelRatio||2),\n        animation:{duration:1100, easing:'easeOutQuart'},\n        layout:{padding:{top:function(c){return c.chart.width>=540?72:18;},bottom:function(c){return c.chart.width>=540?28:22;},left:function(c){return c.chart.width>=540?64:8;},right:function(c){return c.chart.width>=540?64:6;}}},\n        plugins:{\n          legend:{display:true,position:'top',align:'start',labels:{boxWidth:14,boxHeight:2,color:MUTE,font:{size:12},padding:14}},\n          tooltip:{backgroundColor:'#0c0c0c',titleColor:'#fff',bodyColor:'#fff',cornerRadius:8,padding:10,displayColors:false,callbacks:{label:function(c){return fmt(c.parsed.y)+' kcal';}}},\n          annotation:{annotations:{\n            adaptTag:{type:'label',xValue:function(c){return c.chart.width>=540?5.6:3.5;},yValue:function(c){return c.chart.width>=540?2100:2300;},content:function(c){return c.chart.width>=540?T(['Adaptation m\u00e9tabolique','\u221214 %'],['Metabolic adaptation','\u221214%']):T(['Adaptation','m\u00e9tabolique','\u221214 %'],['Metabolic','adaptation','\u221214%']);},font:{family:'-apple-system',size:10,weight:'600'},color:'#fff',backgroundColor:PINK,borderRadius:10,padding:{x:9,y:5},textAlign:'center'},\n            yazioStill:{type:'label',xValue:function(c){return c.chart.width>=540?0.7:1.3;},yValue:2570,content:function(c){return c.chart.width>=540?T(['Yazio : 2 500 fig\u00e9'],['Yazio: 2,500 frozen']):T(['Yazio fig\u00e9','2 500'],['Yazio frozen','2,500']);},font:{family:'-apple-system',size:10,weight:'600'},color:'#fff',backgroundColor:YAZIO,borderRadius:10,padding:{x:9,y:4}},\n            start:{type:'label',xValue:0,yValue:2630,content:['2 500'],font:{family:'-apple-system',size:14,weight:'700'},color:INK,xAdjust:22,xAdjust:22,yAdjust:-13\/*v17OV*\/},\n            end:{type:'label',xValue:7,yValue:2080,content:['2 150'],font:{family:'-apple-system',size:14,weight:'700'},color:PINK,xAdjust:-22}\n          }}\n        },\n        scales:{\n          x:{grid:{display:false,drawBorder:false},ticks:{font:{size:11},color:MUTE},border:{display:false}},\n          y:{min:2000,max:2700,position:'right',grid:{color:RULE,borderDash:[4,4],drawBorder:false},border:{display:false},ticks:{font:{size:11},color:MUTE,stepSize:200,callback:function(v){return fmt(v);}}}\n        }\n      }\n    });\n  }\n})();\n<\/script><\/div>\n<script data-wpmeteor-nooptimize=\"true\">\n(function shrinkAnnotationsOnMobile(){\n  if (typeof window.Chart === 'undefined') { return setTimeout(shrinkAnnotationsOnMobile, 100); }\n  var isMobile = window.matchMedia && window.matchMedia('(max-width:540px)').matches;\n  if (!isMobile) return;\n  function apply(){\n    ['chartBMR','chartNEAT','chartAdapt'].forEach(function(id){\n      var c = window.Chart.getChart(id);\n      if (!c) return;\n      var anns = c.options && c.options.plugins && c.options.plugins.annotation && c.options.plugins.annotation.annotations;\n      if (!anns) return;\n      Object.keys(anns).forEach(function(k){\n        var a = anns[k];\n        if (a.type !== 'label' || !a.font) return;\n        \/\/ Numeric labels are small text. Big fonts (>=14) get shrunk to 13.\n        if (a.font.size >= 20) { a.font.size = 14; }\n        else if (a.font.size >= 14) { a.font.size = 12; }\n      });\n      try { c.update('none'); } catch(e){}\n    });\n  }\n  \/\/ Try a few times to catch all charts as they instantiate\n  var tries = 0;\n  function tryApply(){\n    apply();\n    tries++;\n    if (tries < 20) setTimeout(tryApply, 300);\n  }\n  tryApply();\n})();\n<\/script>\n\n\n\n<!-- lean-mesh-v16 -->\n<aside class=\"lean-mesh\" style=\"margin:48px auto;max-width:760px;padding:24px 28px;background:#ffffff;border-left:4px solid #FF2D6E;border-radius:0 12px 12px 0;box-shadow:0 6px 24px rgba(20,20,40,0.06);font-family:-apple-system,'SF Pro Text','Segoe UI',Roboto,Arial,sans-serif;color:#1a1a2e;\"><p style=\"margin:0 0 14px;font-size:13px;font-weight:700;letter-spacing:0.06em;text-transform:uppercase;color:#FF2D6E;\">Les ogs\u00e5<\/p><ul style=\"list-style:none;padding:0;margin:0;display:grid;grid-template-columns:1fr;gap:10px;\"><li><a href=\"https:\/\/lean-app.com\/no\/metabolisme-de-base\/\" style=\"display:block;padding:14px 16px;background:#FAF7F2;border-radius:8px;color:#1a1a2e;text-decoration:none;font-weight:600;line-height:1.4;\">Basalmetabolisme (BMR): alt du trenger \u00e5 vite for \u00e5 beregne det <span style=\"color:#4D4D52;font-weight:400;display:block;font-size:14px;margin-top:4px;\">Definisjon, TDEE-ligning, 4 historiske formler, hvorfor fettprosenten endrer alt.<\/span><\/a><\/li><li><a href=\"https:\/\/lean-app.com\/no\/depense-energetique-totale-v2\/\" style=\"display:block;padding:14px 16px;background:#FAF7F2;border-radius:8px;color:#1a1a2e;text-decoration:none;font-weight:600;line-height:1.4;\">Totalt energiforbruk (TDEE): den kanoniske formelen BMR + NEAT + EAT + TEF <span style=\"color:#4D4D52;font-weight:400;display:block;font-size:14px;margin-top:4px;\">Forst\u00e5 de 4 byggesteinene + den metabolske tilpasningen, vitenskapelige kilder 2025.<\/span><\/a><\/li><li><a href=\"https:\/\/lean-app.com\/no\/eat\/\" style=\"display:block;padding:14px 16px;background:#FAF7F2;border-radius:8px;color:#1a1a2e;text-decoration:none;font-weight:600;line-height:1.4;\">EAT: det reelle treningsforbruket ditt, \u00f8kt for \u00f8kt <span style=\"color:#4D4D52;font-weight:400;display:block;font-size:14px;margin-top:4px;\">De riktige MET-verdiene, dobbelttellingsfellen, det Garmin og MyFitnessPal bommer p\u00e5.<\/span><\/a><\/li><li><a href=\"https:\/\/lean-app.com\/no\/meilleures-applications-calories-2026\/\" style=\"display:block;padding:14px 16px;background:#FAF7F2;border-radius:8px;color:#1a1a2e;text-decoration:none;font-weight:600;line-height:1.4;\">Beste apper for \u00e5 telle kalorier i 2026: 8 apper testet <span style=\"color:#4D4D52;font-weight:400;display:block;font-size:14px;margin-top:4px;\">Lean, MFP, Cronometer, Yazio, Lifesum, FatSecret, Noom, Foodvisor.<\/span><\/a><\/li><li><a href=\"https:\/\/lean-app.com\/no\/alternative-myfitnesspal\/\" style=\"display:block;padding:14px 16px;background:#FAF7F2;border-radius:8px;color:#1a1a2e;text-decoration:none;font-weight:600;line-height:1.4;\">Hvilket alternativ til MyFitnessPal i 2026? 5 apper testet <span style=\"color:#4D4D52;font-weight:400;display:block;font-size:14px;margin-top:4px;\">\u00c6rlig sammenligning, TDEE-presisjon, ergonomi.<\/span><\/a><\/li><li><a href=\"https:\/\/lean-app.com\/no\/comparatifs\/\" style=\"display:block;padding:14px 16px;background:#FAF7F2;border-radius:8px;color:#1a1a2e;text-decoration:none;font-weight:600;line-height:1.4;\">Alle Lean-sammenligninger mot de store kaloriappene <span style=\"color:#4D4D52;font-weight:400;display:block;font-size:14px;margin-top:4px;\">Hub: MyFitnessPal, Yazio, Cronometer, Lifesum, FatSecret, Noom.<\/span><\/a><\/li><li><a href=\"https:\/\/lean-app.com\/no\/lean-vs-myfitnesspal\/\" style=\"display:block;padding:14px 16px;background:#FAF7F2;border-radius:8px;color:#1a1a2e;text-decoration:none;font-weight:600;line-height:1.4;\">Lean mot MyFitnessPal: TDEE-formelen som endrer alt <span style=\"color:#4D4D52;font-weight:400;display:block;font-size:14px;margin-top:4px;\">Hvorfor MFP tar feil om det reelle kaloriforbruket ditt.<\/span><\/a><\/li><li><a href=\"https:\/\/lean-app.com\/no\/lean-vs-foodvisor\/\" style=\"display:block;padding:14px 16px;background:#FAF7F2;border-radius:8px;color:#1a1a2e;text-decoration:none;font-weight:600;line-height:1.4;\">Lean mot Foodvisor: fotoskanningens pioner vs reelt forbruk <span style=\"color:#4D4D52;font-weight:400;display:block;font-size:14px;margin-top:4px;\">Foodvisor ser tallerkenen din. Lean setter TDEE-en din sammen p\u00e5 nytt kontinuerlig.<\/span><\/a><\/li><\/ul><\/aside>","protected":false},"excerpt":{"rendered":"<p>Lean Calculateur TDEE Accueil &nbsp;\/&nbsp; Lean vs Yazio Comparatif &middot; Nutrition &amp; TDEE Lean face \u00e0 Yazio. Le tracker calorique le plus aim\u00e9 d&rsquo;Europe face au seul qui recompose ton TDEE en continu. Yazio compte. Lean calcule. La diff\u00e9rence se voit apr\u00e8s 6 semaines. L&rsquo;\u00e9quipe Lean &middot; Lecture 12&nbsp;min &middot; Mis \u00e0 jour 21 mai [&hellip;]<\/p>","protected":false},"author":1,"featured_media":1364,"comment_status":"open","ping_status":"open","sticky":false,"template":"single-lvm-blank","format":"standard","meta":{"footnotes":""},"categories":[1],"tags":[],"class_list":["post-1352","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-uncategorized"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v25.6 - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>Lean mot Yazio: hvorfor Yazio lurer deg om forbruket ditt (2026)<\/title>\n<meta name=\"description\" content=\"Yazio bruker Mifflin-St Jeor 1990 + 5 statiske PAL-bokser. Lean beregner BMR + NEAT + EAT + TEF + tilpasning p\u00e5 nytt p\u00e5 den reelle fettprosenten din. Sammenligning 2026.\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/lean-app.com\/no\/lean-vs-yazio\/\" \/>\n<meta property=\"og:locale\" content=\"nb_NO\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Lean face \u00e0 Yazio : pourquoi Yazio te trompe sur ta d\u00e9pense\" \/>\n<meta property=\"og:description\" content=\"Yazio te donne un objectif fig\u00e9. Lean recalcule chaque jour sur ton bodyfat r\u00e9el. 2 873 face \u00e0 2 500 kcal.\" \/>\n<meta property=\"og:url\" content=\"https:\/\/lean-app.com\/no\/lean-vs-yazio\/\" \/>\n<meta property=\"og:site_name\" content=\"Lean\" \/>\n<meta property=\"article:publisher\" content=\"https:\/\/www.facebook.com\/share\/1GXD3qyMBy\/?mibextid=wwXIfr\" \/>\n<meta property=\"article:published_time\" content=\"2026-05-23T13:43:16+00:00\" \/>\n<meta property=\"article:modified_time\" content=\"2026-09-05T10:53:39+00:00\" \/>\n<meta property=\"og:image\" content=\"https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/og-lean-vs-yazio-v2.png\" \/>\n\t<meta property=\"og:image:width\" content=\"1200\" \/>\n\t<meta property=\"og:image:height\" content=\"630\" \/>\n\t<meta property=\"og:image:type\" content=\"image\/png\" \/>\n<meta name=\"author\" content=\"L&#039;\u00e9quipe Lean\" \/>\n<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\n<meta name=\"twitter:title\" content=\"Lean face \u00e0 Yazio : pourquoi Yazio te trompe sur ta d\u00e9pense\" \/>\n<meta name=\"twitter:description\" content=\"Yazio te donne un objectif fig\u00e9. Lean recalcule chaque jour sur ton bodyfat r\u00e9el.\" \/>\n<meta name=\"twitter:label1\" content=\"Written by\" \/>\n\t<meta name=\"twitter:data1\" content=\"L&#039;\u00e9quipe Lean\" \/>\n\t<meta name=\"twitter:label2\" content=\"Est. reading time\" \/>\n\t<meta name=\"twitter:data2\" content=\"23 minutes\" \/>\n<script type=\"application\/ld+json\" class=\"yoast-schema-graph\">{\"@context\":\"https:\/\/schema.org\",\"@graph\":[{\"@type\":\"Article\",\"@id\":\"https:\/\/lean-app.com\/lean-vs-yazio\/#article\",\"isPartOf\":{\"@id\":\"https:\/\/lean-app.com\/lean-vs-yazio\/\"},\"author\":{\"@id\":\"https:\/\/lean-app.com\/#organization\"},\"headline\":\"Lean face \u00e0 Yazio : qui calcule vraiment ta d\u00e9pense calorique en 2026 ?\",\"datePublished\":\"2026-05-23T13:43:16+00:00\",\"dateModified\":\"2026-09-05T10:53:39+00:00\",\"mainEntityOfPage\":{\"@id\":\"https:\/\/lean-app.com\/lean-vs-yazio\/\"},\"wordCount\":4752,\"commentCount\":0,\"publisher\":{\"@id\":\"https:\/\/lean-app.com\/#organization\"},\"image\":{\"@id\":\"https:\/\/lean-app.com\/lean-vs-yazio\/#primaryimage\"},\"thumbnailUrl\":\"https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/og-lean-vs-yazio-v2.png\",\"inLanguage\":\"nb-NO\",\"potentialAction\":[{\"@type\":\"CommentAction\",\"name\":\"Comment\",\"target\":[\"https:\/\/lean-app.com\/lean-vs-yazio\/#respond\"]}]},{\"@type\":\"WebPage\",\"@id\":\"https:\/\/lean-app.com\/lean-vs-yazio\/\",\"url\":\"https:\/\/lean-app.com\/lean-vs-yazio\/\",\"name\":\"Lean face \u00e0 Yazio : pourquoi Yazio te trompe sur ta d\u00e9pense (2026)\",\"isPartOf\":{\"@id\":\"https:\/\/lean-app.com\/#website\"},\"primaryImageOfPage\":{\"@id\":\"https:\/\/lean-app.com\/lean-vs-yazio\/#primaryimage\"},\"image\":{\"@id\":\"https:\/\/lean-app.com\/lean-vs-yazio\/#primaryimage\"},\"thumbnailUrl\":\"https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/og-lean-vs-yazio-v2.png\",\"datePublished\":\"2026-05-23T13:43:16+00:00\",\"dateModified\":\"2026-09-05T10:53:39+00:00\",\"description\":\"Yazio applique Mifflin-St Jeor 1990 + 5 cases PAL statiques. Lean recalcule BMR + NEAT + EAT + TEF + adaptation sur ton bodyfat r\u00e9el. Comparaison 2026.\",\"breadcrumb\":{\"@id\":\"https:\/\/lean-app.com\/lean-vs-yazio\/#breadcrumb\"},\"inLanguage\":\"nb-NO\",\"potentialAction\":[{\"@type\":\"ReadAction\",\"target\":[\"https:\/\/lean-app.com\/lean-vs-yazio\/\"]}]},{\"@type\":\"ImageObject\",\"inLanguage\":\"nb-NO\",\"@id\":\"https:\/\/lean-app.com\/lean-vs-yazio\/#primaryimage\",\"url\":\"https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/og-lean-vs-yazio-v2.png\",\"contentUrl\":\"https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/og-lean-vs-yazio-v2.png\",\"width\":1200,\"height\":630},{\"@type\":\"BreadcrumbList\",\"@id\":\"https:\/\/lean-app.com\/lean-vs-yazio\/#breadcrumb\",\"itemListElement\":[{\"@type\":\"ListItem\",\"position\":1,\"name\":\"Home\",\"item\":\"https:\/\/lean-app.com\/\"},{\"@type\":\"ListItem\",\"position\":2,\"name\":\"Lean face \u00e0 Yazio : qui calcule vraiment ta d\u00e9pense calorique en 2026 ?\"}]},{\"@type\":\"WebSite\",\"@id\":\"https:\/\/lean-app.com\/#website\",\"url\":\"https:\/\/lean-app.com\/\",\"name\":\"Lean\",\"description\":\"T\u00e9l\u00e9charge, essaye GRATUITEMENT l&#039;application et prends en main ton corps \u00c0 VIE.\",\"publisher\":{\"@id\":\"https:\/\/lean-app.com\/#organization\"},\"potentialAction\":[{\"@type\":\"SearchAction\",\"target\":{\"@type\":\"EntryPoint\",\"urlTemplate\":\"https:\/\/lean-app.com\/?s={search_term_string}\"},\"query-input\":{\"@type\":\"PropertyValueSpecification\",\"valueRequired\":true,\"valueName\":\"search_term_string\"}}],\"inLanguage\":\"nb-NO\"},{\"@type\":\"Organization\",\"@id\":\"https:\/\/lean-app.com\/#organization\",\"name\":\"Lean\",\"url\":\"https:\/\/lean-app.com\/\",\"logo\":{\"@type\":\"ImageObject\",\"inLanguage\":\"nb-NO\",\"@id\":\"https:\/\/lean-app.com\/#\/schema\/logo\/image\/\",\"url\":\"https:\/\/lean-app.com\/wp-content\/uploads\/2025\/08\/Logo-for-Lean-App-the-best-calorie-and-TDEE-tracking-application.png\",\"contentUrl\":\"https:\/\/lean-app.com\/wp-content\/uploads\/2025\/08\/Logo-for-Lean-App-the-best-calorie-and-TDEE-tracking-application.png\",\"width\":1672,\"height\":1484,\"caption\":\"Lean\"},\"image\":{\"@id\":\"https:\/\/lean-app.com\/#\/schema\/logo\/image\/\"},\"sameAs\":[\"https:\/\/www.facebook.com\/share\/1GXD3qyMBy\/?mibextid=wwXIfr\",\"https:\/\/apps.apple.com\/fr\/app\/lean-calorie-ai-podometre\/id6738668646\",\"https:\/\/play.google.com\/store\/apps\/details?id=com.lean.testsqflite\",\"https:\/\/app.dealroom.co\/companies\/lean_calorie_tracker\",\"https:\/\/alternativeto.net\/software\/lean-calorie-tracker\/\"]}]}<\/script>\n<!-- \/ Yoast SEO plugin. -->","yoast_head_json":{"title":"Lean mot Yazio: hvorfor Yazio lurer deg om forbruket ditt (2026)","description":"Yazio bruker Mifflin-St Jeor 1990 + 5 statiske PAL-bokser. Lean beregner BMR + NEAT + EAT + TEF + tilpasning p\u00e5 nytt p\u00e5 den reelle fettprosenten din. Sammenligning 2026.","robots":{"index":"index","follow":"follow","max-snippet":"max-snippet:-1","max-image-preview":"max-image-preview:large","max-video-preview":"max-video-preview:-1"},"canonical":"https:\/\/lean-app.com\/no\/lean-vs-yazio\/","og_locale":"nb_NO","og_type":"article","og_title":"Lean face \u00e0 Yazio : pourquoi Yazio te trompe sur ta d\u00e9pense","og_description":"Yazio te donne un objectif fig\u00e9. Lean recalcule chaque jour sur ton bodyfat r\u00e9el. 2 873 face \u00e0 2 500 kcal.","og_url":"https:\/\/lean-app.com\/no\/lean-vs-yazio\/","og_site_name":"Lean","article_publisher":"https:\/\/www.facebook.com\/share\/1GXD3qyMBy\/?mibextid=wwXIfr","article_published_time":"2026-05-23T13:43:16+00:00","article_modified_time":"2026-09-05T10:53:39+00:00","og_image":[{"width":1200,"height":630,"url":"https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/og-lean-vs-yazio-v2.png","type":"image\/png"}],"author":"L'\u00e9quipe Lean","twitter_card":"summary_large_image","twitter_title":"Lean face \u00e0 Yazio : pourquoi Yazio te trompe sur ta d\u00e9pense","twitter_description":"Yazio te donne un objectif fig\u00e9. Lean recalcule chaque jour sur ton bodyfat r\u00e9el.","twitter_misc":{"Written by":"L'\u00e9quipe Lean","Est. reading time":"23 minutes"},"schema":{"@context":"https:\/\/schema.org","@graph":[{"@type":"Article","@id":"https:\/\/lean-app.com\/lean-vs-yazio\/#article","isPartOf":{"@id":"https:\/\/lean-app.com\/lean-vs-yazio\/"},"author":{"@id":"https:\/\/lean-app.com\/#organization"},"headline":"Lean face \u00e0 Yazio : qui calcule vraiment ta d\u00e9pense calorique en 2026 ?","datePublished":"2026-05-23T13:43:16+00:00","dateModified":"2026-09-05T10:53:39+00:00","mainEntityOfPage":{"@id":"https:\/\/lean-app.com\/lean-vs-yazio\/"},"wordCount":4752,"commentCount":0,"publisher":{"@id":"https:\/\/lean-app.com\/#organization"},"image":{"@id":"https:\/\/lean-app.com\/lean-vs-yazio\/#primaryimage"},"thumbnailUrl":"https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/og-lean-vs-yazio-v2.png","inLanguage":"nb-NO","potentialAction":[{"@type":"CommentAction","name":"Comment","target":["https:\/\/lean-app.com\/lean-vs-yazio\/#respond"]}]},{"@type":"WebPage","@id":"https:\/\/lean-app.com\/lean-vs-yazio\/","url":"https:\/\/lean-app.com\/lean-vs-yazio\/","name":"Lean mot Yazio: hvorfor Yazio lurer deg om forbruket ditt (2026)","isPartOf":{"@id":"https:\/\/lean-app.com\/#website"},"primaryImageOfPage":{"@id":"https:\/\/lean-app.com\/lean-vs-yazio\/#primaryimage"},"image":{"@id":"https:\/\/lean-app.com\/lean-vs-yazio\/#primaryimage"},"thumbnailUrl":"https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/og-lean-vs-yazio-v2.png","datePublished":"2026-05-23T13:43:16+00:00","dateModified":"2026-09-05T10:53:39+00:00","description":"Yazio bruker Mifflin-St Jeor 1990 + 5 statiske PAL-bokser. Lean beregner BMR + NEAT + EAT + TEF + tilpasning p\u00e5 nytt p\u00e5 den reelle fettprosenten din. Sammenligning 2026.","breadcrumb":{"@id":"https:\/\/lean-app.com\/lean-vs-yazio\/#breadcrumb"},"inLanguage":"nb-NO","potentialAction":[{"@type":"ReadAction","target":["https:\/\/lean-app.com\/lean-vs-yazio\/"]}]},{"@type":"ImageObject","inLanguage":"nb-NO","@id":"https:\/\/lean-app.com\/lean-vs-yazio\/#primaryimage","url":"https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/og-lean-vs-yazio-v2.png","contentUrl":"https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/og-lean-vs-yazio-v2.png","width":1200,"height":630},{"@type":"BreadcrumbList","@id":"https:\/\/lean-app.com\/lean-vs-yazio\/#breadcrumb","itemListElement":[{"@type":"ListItem","position":1,"name":"Home","item":"https:\/\/lean-app.com\/"},{"@type":"ListItem","position":2,"name":"Lean face \u00e0 Yazio : qui calcule vraiment ta d\u00e9pense calorique en 2026 ?"}]},{"@type":"WebSite","@id":"https:\/\/lean-app.com\/#website","url":"https:\/\/lean-app.com\/","name":"Lean","description":"Last ned, pr\u00f8v appen GRATIS og ta kontroll over kroppen din FOR ALLTID.","publisher":{"@id":"https:\/\/lean-app.com\/#organization"},"potentialAction":[{"@type":"SearchAction","target":{"@type":"EntryPoint","urlTemplate":"https:\/\/lean-app.com\/?s={search_term_string}"},"query-input":{"@type":"PropertyValueSpecification","valueRequired":true,"valueName":"search_term_string"}}],"inLanguage":"nb-NO"},{"@type":"Organization","@id":"https:\/\/lean-app.com\/#organization","name":"Lean","url":"https:\/\/lean-app.com\/","logo":{"@type":"ImageObject","inLanguage":"nb-NO","@id":"https:\/\/lean-app.com\/#\/schema\/logo\/image\/","url":"https:\/\/lean-app.com\/wp-content\/uploads\/2025\/08\/Logo-for-Lean-App-the-best-calorie-and-TDEE-tracking-application.png","contentUrl":"https:\/\/lean-app.com\/wp-content\/uploads\/2025\/08\/Logo-for-Lean-App-the-best-calorie-and-TDEE-tracking-application.png","width":1672,"height":1484,"caption":"Lean"},"image":{"@id":"https:\/\/lean-app.com\/#\/schema\/logo\/image\/"},"sameAs":["https:\/\/www.facebook.com\/share\/1GXD3qyMBy\/?mibextid=wwXIfr","https:\/\/apps.apple.com\/fr\/app\/lean-calorie-ai-podometre\/id6738668646","https:\/\/play.google.com\/store\/apps\/details?id=com.lean.testsqflite","https:\/\/app.dealroom.co\/companies\/lean_calorie_tracker","https:\/\/alternativeto.net\/software\/lean-calorie-tracker\/"]}]}},"_links":{"self":[{"href":"https:\/\/lean-app.com\/no\/wp-json\/wp\/v2\/posts\/1352","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/lean-app.com\/no\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/lean-app.com\/no\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/lean-app.com\/no\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/lean-app.com\/no\/wp-json\/wp\/v2\/comments?post=1352"}],"version-history":[{"count":0,"href":"https:\/\/lean-app.com\/no\/wp-json\/wp\/v2\/posts\/1352\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/lean-app.com\/no\/wp-json\/wp\/v2\/media\/1364"}],"wp:attachment":[{"href":"https:\/\/lean-app.com\/no\/wp-json\/wp\/v2\/media?parent=1352"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/lean-app.com\/no\/wp-json\/wp\/v2\/categories?post=1352"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/lean-app.com\/no\/wp-json\/wp\/v2\/tags?post=1352"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}