{"id":485,"date":"2025-07-13T23:54:29","date_gmt":"2025-07-13T23:54:29","guid":{"rendered":"https:\/\/lean-app.com\/?p=485"},"modified":"2026-09-05T10:40:02","modified_gmt":"2026-09-05T10:40:02","slug":"comment-compter-ses-calories","status":"publish","type":"post","link":"https:\/\/lean-app.com\/no\/comment-compter-ses-calories\/","title":{"rendered":"Slik teller du kaloriene dine: de 4 metodene sammenlignet"},"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\" 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.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-485 #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-485 #lvm-shell .wrap,\nbody.postid-485 #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-485 #lvm-shell .wrap,\n  body.postid-485 #lvm-shell main.wrap{padding-left:18px!important;padding-right:18px!important}\n}\nhtml, body{overflow-x:hidden!important}\nbody.postid-485 #lvm-shell{overflow-x:hidden;max-width:100vw}\nbody.postid-485 #lvm-shell *{max-width:100%}\nbody.postid-485 #lvm-shell .nav-row{max-width:100vw;box-sizing:border-box}\nbody.postid-485 #lvm-shell.force-show .rev{opacity:1!important;transform:none!important}\n\n\/* === A.1 PHONE BACKGROUND CLASSES === *\/\nbody.postid-485 #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-485 #lvm-shell .phone-bg.tab-depense{background-image:url(https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-screen_depense.webp)}\nbody.postid-485 #lvm-shell .phone-bg.tab-bilan{background-image:url(https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-screen_bilan.webp)}\nbody.postid-485 #lvm-shell .phone-bg.tab-kcal{background-image:url(https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-screen_kcal.webp)}\nbody.postid-485 #lvm-shell .phone-bg.tab-strategie{background-image:url(https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-screen_strategie.webp)}\nbody.postid-485 #lvm-shell .phone-bg.sub-BMR{background-image:url(https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-screen_BMR.webp)}\nbody.postid-485 #lvm-shell .phone-bg.sub-NEAT{background-image:url(https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-screen_NEAT.webp)}\nbody.postid-485 #lvm-shell .phone-bg.sub-EAT{background-image:url(https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-screen_EAT.webp)}\nbody.postid-485 #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-485 #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-485 #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-485 #lvm-shell .cta-band .stores{width:100%!important;justify-content:center!important;flex-wrap:nowrap!important;gap:10px!important}\n  body.postid-485 #lvm-shell .cta-band .stores a{flex:1!important;max-width:170px!important;display:flex!important;justify-content:center!important}\n  body.postid-485 #lvm-shell .cta-band .stores picture{width:100%!important;display:block!important}\n  body.postid-485 #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-485 #lvm-shell .get-band{padding:38px 22px!important}\n  body.postid-485 #lvm-shell .get-band .stores{justify-content:center!important;flex-wrap:nowrap!important;gap:10px!important}\n  body.postid-485 #lvm-shell .get-band .stores a{flex:1!important;max-width:170px!important;display:flex!important;justify-content:center!important}\n  body.postid-485 #lvm-shell .get-band .stores picture{width:100%!important;display:block!important}\n  body.postid-485 #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-485 #lvm-shell .get-band h3{font-size:26px!important;line-height:1.2!important}\n  body.postid-485 #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-485 #lvm-shell .brand-banner img{width:54px!important;height:54px!important}\n  body.postid-485 #lvm-shell .brand-banner > div{padding:16px 12px!important;gap:8px!important}\n  body.postid-485 #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-485 #lvm-shell .scorecard{padding:18px 16px!important;border-radius:16px!important}\n  body.postid-485 #lvm-shell .scorecard-head{display:none!important}\n  body.postid-485 #lvm-shell .scorecard-row{\n    display:block!important;\n    padding:14px 0!important;\n    border-bottom:1px solid #E8E2D6!important;\n  }\n  body.postid-485 #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-485 #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-485 #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-485 #lvm-shell .scorecard-row .bar.lean::before{color:#FF2D6E!important}\n  body.postid-485 #lvm-shell .scorecard-row .bar.mfp::before{color:#5B7FFF!important}\n  body.postid-485 #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-485 #lvm-shell .scorecard-row .bar .b > i{\n    display:block!important;\n    height:100%!important;\n    border-radius:99px!important;\n  }\n  body.postid-485 #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-485 #lvm-shell .cv-wrap{height:380px!important;min-height:360px!important;max-height:420px!important;width:100%!important}\n  body.postid-485 #lvm-shell .cv-wrap canvas{width:100%!important;height:100%!important;display:block!important}\n  body.postid-485 #lvm-shell .fig{padding:16px 4px 14px!important;margin:24px -4px 14px!important;overflow:visible!important}\n  body.postid-485 #lvm-shell .fig-head{padding:0 12px!important;flex-wrap:wrap!important;gap:6px!important;margin-bottom:10px!important}\n  body.postid-485 #lvm-shell .fig-body{padding:0 2px!important}\n  body.postid-485 #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-485 #lvm-shell .cv-wrap{height:360px!important;min-height:340px!important;max-height:380px!important}\n  body.postid-485 #lvm-shell .fig{padding:14px 2px 12px!important;margin:20px -6px 12px!important;border-radius:14px!important}\n  body.postid-485 #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-485 #lvm-shell .table{border-radius:14px!important}\n  body.postid-485 #lvm-shell .table-row.head{display:none!important}\n  body.postid-485 #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-485 #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 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body.postid-485 #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-485 #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-485 #lvm-shell .bodyscan-illust .mini-phone{max-width:200px!important;padding:3px!important;border-radius:22px!important;border-width:1px!important}\nbody.postid-485 #lvm-shell .bodyscan-illust .mini-phone .notch{width:40px!important;height:11px!important;border-radius:0 0 7px 7px!important}\nbody.postid-485 #lvm-shell .bodyscan-illust .mini-phone .scr{border-radius:18px!important}\n@media (max-width:760px){\n  body.postid-485 #lvm-shell .bodyscan-illust{max-width:180px!important}\n  body.postid-485 #lvm-shell .bodyscan-illust 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Problemet har aldri v\u00e6rt effektiviteten, det er etterlevelsen: manuell inntasting matvare for matvare sliter ut alle, og nesten 80&nbsp;% gir opp p\u00e5 under 3&nbsp;m\u00e5neder. Denne guiden sammenligner de 4 metodene for \u00e5 telle kaloriene dine, fra den raskeste (AI-fotoskanning, 5&nbsp;sekunder) til den mest presise (database + vekt), og forteller deg hvilken du b\u00f8r velge etter profilen din.\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>D\u00e9mo interactive<\/small>Touchez l&rsquo;\u00e9cran pour explorer l&rsquo;app<\/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>D\u00e9mo interactive<\/small>Touchez l&rsquo;\u00e9cran<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=\"Aper\u00e7u de l'application Lean avec drilldown du 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=\"Aper\u00e7u Lean, onglet D\u00e9pense\"><\/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=\"D\u00e9tail BMR\"><\/div>\n              <div class=\"z\" data-sub=\"NEAT\" style=\"top:33%;height:16%\" role=\"button\" tabindex=\"0\" aria-label=\"D\u00e9tail NEAT\"><\/div>\n              <div class=\"z\" data-sub=\"EAT\"  style=\"top:50%;height:16%\" role=\"button\" tabindex=\"0\" aria-label=\"D\u00e9tail EAT\"><\/div>\n              <div class=\"z\" data-sub=\"TEF\"  style=\"top:67%;height:16%\" role=\"button\" tabindex=\"0\" aria-label=\"D\u00e9tail TEF\"><\/div>\n            <\/div>\n            <div class=\"phone-navbar\" id=\"phoneNav\" aria-hidden=\"false\">\n              <button data-tab=\"bilan\"     type=\"button\" aria-label=\"Onglet Bilan\"><\/button>\n              <button data-tab=\"kcal\"      type=\"button\" aria-label=\"Onglet Calories\"><\/button>\n              <button data-tab=\"depense\"   type=\"button\" aria-label=\"Forbruk-fanen\"><\/button>\n              <button data-tab=\"strategie\" type=\"button\" aria-label=\"Onglet Strat\u00e9gie\"><\/button>\n            <\/div>\n          <\/div>\n        <\/div>\n        <div class=\"phone-tabs\" role=\"tablist\" aria-label=\"Naviguer dans l'app Lean\">\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\">D\u00e9pense<\/button>\n          <button data-tab=\"strategie\" type=\"button\">Strat\u00e9gie<\/button>\n        <\/div>\n      <\/div>\n    <\/div>\n  <\/div>\n\n  <div class=\"snippet rev\">\n    <div class=\"lbl\">Raskt svar<\/div>\n    <p>Fire metoder for \u00e5 telle kaloriene dine: <strong>AI-fotoskanning<\/strong> (du fotograferer tallerkenen din, AI-en identifiserer hver matvare og mengden), <strong>strekkodeskanning<\/strong> (emballerte produkter, produsentdata), <strong>databasen<\/strong> (s\u00f8k + veiing, den mest presise modusen) og<strong>hurtigregistrering<\/strong> (et samlet anslag p\u00e5 10&nbsp;sekunder). Riktig metode er den du vil holde p\u00e5 i 6 m\u00e5neder, ikke den mest presise p\u00e5 papiret. Og \u00e5 telle inntaket ditt er bare nyttig hvis forbruket ditt, <span data-term=\"TDEE\">TDEE<span class=\"tt\">Total Daily Energy Expenditure: det totale kaloriforbruket ditt over 24&nbsp;t. TDEE = BMR + NEAT + EAT + TEF.<\/span><\/span>, er riktig beregnet.<\/p>\n  <\/div>\n<\/section>\n\n\n<section aria-labelledby=\"constat\" class=\"rev\">\n  <div class=\"section-label\"><span class=\"bar\"><\/span><span class=\"num\">01 &middot; Situasjonen<\/span><\/div>\n  <h2 id=\"constat\">Hvorfor 80&nbsp;% slutter \u00e5 telle etter 3 m\u00e5neder<\/h2>\n  <p>\u00c5 telle kalorier fungerer. Det er ikke poenget. Poenget er at nesten ingen holder ut: studier av vekttapsprogrammer viser massivt frafall allerede de f\u00f8rste ukene, lenge f\u00f8r det f\u00f8rste synlige resultatet p\u00e5 vekten.<\/p>\n\n  <div class=\"statement\">\n    <div class=\"num\">80&nbsp;%<\/div>\n    <div class=\"lbl\">av de p\u00e5meldte i et vekttapsprogram gir opp i l\u00f8pet av de 3 f\u00f8rste m\u00e5nedene (Alexander et al., 2018). Hoved\u00e5rsaken: friksjonen i oppf\u00f8lgingen, ikke mangel p\u00e5 viljestyrke.<\/div>\n  <\/div>\n\n  <p>Friksjonen, konkret: s\u00f8ke \u00abkyllingbryst\u00bb i en liste, velge riktig oppf\u00f8ring blant 40 duplikater, ansl\u00e5 150&nbsp;g p\u00e5 \u00f8yem\u00e5l, gjenta for b\u00f8nnene, s\u00e5 for olivenoljen. Tre ganger om dagen. 90 ganger i m\u00e5neden. Det er dette regnskapet som dreper loggingen, ikke ideen om \u00e5 logge.<\/p>\n\n  <p>Praktisk konklusjon: valget av loggingsmetode er ikke en ergonomisk detalj. Det er DEN variabelen som avgj\u00f8r om dataene dine fortsatt finnes om 3 m\u00e5neder. Her er de 4 metodene, rangert fra den raskeste til den mest krevende.<\/p>\n<\/section>\n\n\n<section aria-labelledby=\"scan-ia\" class=\"rev\">\n  <div class=\"section-label\"><span class=\"bar\"><\/span><span class=\"num\">02 &middot; Metode 1<\/span><\/div>\n  <h2 id=\"scan-ia\">AI-fotoskanning: 5 sekunder per m\u00e5ltid<\/h2>\n  <p>Du tar bilde av tallerkenen din. Leans AI gj\u00f8r en <strong>dobbel identifisering<\/strong> : f\u00f8rst gjenkjenner den hver matvare som er til stede (grillet kylling, gr\u00f8nne b\u00f8nner), deretter ansl\u00e5r den mengden av hver. Resultatet er ikke et samlet tall trukket opp av hatten: det er en oppdeling matvare for matvare, med kalorier og makroer for hver linje.<\/p>\n\n  <figure style=\"margin:26px auto;max-width:250px;text-align:center\"><video controls playsinline preload=\"none\" poster=\"https:\/\/lean-app.com\/wp-content\/uploads\/2026\/06\/poster-video-scan-ia-lean.webp\" width=\"1080\" height=\"1920\" style=\"width:100%;height:auto;border-radius:16px;display:block;background:#F7F6F2\"><source src=\"https:\/\/lean-app.com\/wp-content\/uploads\/2025\/07\/scan-aliments-ia-application-lean.mp4\" type=\"video\/mp4\"><\/video><figcaption style=\"font-size:13px;color:#3A3A3C;margin-top:10px;line-height:1.45;text-transform:none;letter-spacing:0\">AI-skanningen under reelle forhold: foto, analyse, resultat.<\/figcaption><\/figure>\n\n  <p>I bilder, trinn for trinn, p\u00e5 et ekte m\u00e5ltid:<\/p>\n\n  <div style=\"display:flex;gap:14px;justify-content:center;align-items:flex-start;margin:24px 0;flex-wrap:wrap\"><figure style=\"flex:1;max-width:180px;min-width:140px;margin:0;text-align:center\"><img src=\"https:\/\/lean-app.com\/wp-content\/uploads\/2025\/08\/scan-ia-repas-analyse-nutritionnelle-lean-app-511x1024.jpg\" alt=\"Scan IA dans Lean : photo du plat prise, champ de d\u00e9tails optionnel au clavier\" width=\"511\" height=\"1024\" loading=\"lazy\" decoding=\"async\" style=\"width:100%;height:auto;border-radius:22px;box-shadow:0 10px 28px rgba(0,0,0,.10);display:block\"><figcaption style=\"font-size:13px;color:#3A3A3C;margin-top:10px;line-height:1.45;text-transform:none;letter-spacing:0\">Du tar bildet. En detalj via tastaturet, om du vil.<\/figcaption><\/figure>\n    <figure style=\"flex:1;max-width:180px;min-width:140px;margin:0;text-align:center\"><img src=\"https:\/\/lean-app.com\/wp-content\/uploads\/2025\/08\/analyse-ia-repas-poulet-haricots-verts-lean-app-519x1024.jpg\" alt=\"Analyse IA en cours dans Lean : la photo du plat est trait\u00e9e\" width=\"519\" height=\"1024\" loading=\"lazy\" decoding=\"async\" style=\"width:100%;height:auto;border-radius:22px;box-shadow:0 10px 28px rgba(0,0,0,.10);display:block\"><figcaption style=\"font-size:13px;color:#3A3A3C;margin-top:10px;line-height:1.45;text-transform:none;letter-spacing:0\">AI-en analyserer tallerkenen.<\/figcaption><\/figure>\n    <figure style=\"flex:1;max-width:180px;min-width:140px;margin:0;text-align:center\"><img src=\"https:\/\/lean-app.com\/wp-content\/uploads\/2025\/08\/resultat-scan-ia-repas-poulet-lean-app-519x1024.jpg\" alt=\"R\u00e9sultat du scan IA : chaque aliment compt\u00e9 avec calories et macros\" width=\"519\" height=\"1024\" loading=\"lazy\" decoding=\"async\" style=\"width:100%;height:auto;border-radius:22px;box-shadow:0 10px 28px rgba(0,0,0,.10);display:block\"><figcaption style=\"font-size:13px;color:#3A3A3C;margin-top:10px;line-height:1.45;text-transform:none;letter-spacing:0\">Hver matvare telt.<\/figcaption><\/figure><\/div>\n\n  <p>P\u00e5 vanlige retter er den typiske feilen omtrent \u00b110&nbsp;% per m\u00e5ltid. Det er mindre presist enn en vekt, og mer enn tilstrekkelig for \u00e5 styre et fettap (vi kommer tilbake til det med store talls lov lenger ned). Fremfor alt er det den eneste metoden som dekker m\u00e5ltider uten etikett: hjemme, restaurant, kantine.<\/p>\n\n  <h3>Der Lean g\u00e5r lenger: du beholder kontrollen<\/h3>\n  <p>En AI-skanning er bare nyttig hvis du kan korrigere det den foresl\u00e5r. Lean gir deg tre spaker, per matvare:<\/p>\n\n  <div class=\"solution-grid\" style=\"display:grid;grid-template-columns:1fr;gap:14px;margin:22px 0\"><div class=\"solution-card\" style=\"background:#F7F6F2;padding:18px 20px;border-radius:0 12px 12px 0;border-left:4px solid #FF2D6E\"><div class=\"kicker\" style=\"color:#FF2D6E;font-size:12px;font-weight:700;text-transform:uppercase;letter-spacing:0.06em;margin-bottom:8px\">Spak 1<\/div><h3 style=\"margin:0 0 6px;font-size:18px\">Endre mengdene<\/h3><p style=\"margin:0;font-size:15px;line-height:1.55\">En glidebryter per matvare: her, br\u00f8det ansl\u00e5tt til 101,4&nbsp;g av AI-en, korrigert til 70&nbsp;g. Kalorier og rettens total beregnes p\u00e5 nytt umiddelbart.<\/p><div style=\"display:flex;gap:14px;justify-content:center;align-items:flex-start;margin:24px 0;flex-wrap:wrap\"><figure style=\"flex:1;max-width:160px;min-width:140px;margin:0;text-align:center\"><img src=\"https:\/\/lean-app.com\/wp-content\/uploads\/2025\/08\/mise-a-jour-calories-apres-ajustement-scan-ia-519x1024.jpg\" alt=\"Repas scann\u00e9 dans Lean avant correction : pain estim\u00e9 \u00e0 101,4 g\" width=\"519\" height=\"1024\" loading=\"lazy\" decoding=\"async\" style=\"width:100%;height:auto;border-radius:22px;box-shadow:0 10px 28px rgba(0,0,0,.10);display:block\"><figcaption style=\"font-size:13px;color:#3A3A3C;margin-top:10px;line-height:1.45;text-transform:none;letter-spacing:0\">Br\u00f8d ansl\u00e5tt til 101,4&nbsp;g av AI-en.<\/figcaption><\/figure>\n    <figure style=\"flex:1;max-width:160px;min-width:140px;margin:0;text-align:center\"><img src=\"https:\/\/lean-app.com\/wp-content\/uploads\/2025\/08\/modifier-quantites-macros-scan-ia-lean-app-514x1024.jpg\" alt=\"Slider de quantit\u00e9 dans Lean : pain corrig\u00e9 \u00e0 70 g, recalcul instantan\u00e9\" width=\"514\" height=\"1024\" loading=\"lazy\" decoding=\"async\" style=\"width:100%;height:auto;border-radius:22px;box-shadow:0 10px 28px rgba(0,0,0,.10);display:block\"><figcaption style=\"font-size:13px;color:#3A3A3C;margin-top:10px;line-height:1.45;text-transform:none;letter-spacing:0\">Korrigert til 70&nbsp;g, alt beregnes p\u00e5 nytt.<\/figcaption><\/figure><\/div><\/div>\n    <div class=\"solution-card\" style=\"background:#F7F6F2;padding:18px 20px;border-radius:0 12px 12px 0;border-left:4px solid #FF2D6E\"><div class=\"kicker\" style=\"color:#FF2D6E;font-size:12px;font-weight:700;text-transform:uppercase;letter-spacing:0.06em;margin-bottom:8px\">Spak 2<\/div><h3 style=\"margin:0 0 6px;font-size:18px\">Endre makroene<\/h3><p style=\"margin:0;font-size:15px;line-height:1.55\">Kjenner du oppskriften din bedre enn gjennomsnittet&nbsp;? Her, chipsene: AI-en foresl\u00e5r 4,1&nbsp;g fett, du korrigerer til 14&nbsp;g. Donut og total f\u00f8lger etter.<\/p><div style=\"display:flex;gap:14px;justify-content:center;align-items:flex-start;margin:24px 0;flex-wrap:wrap\"><figure style=\"flex:1;max-width:160px;min-width:140px;margin:0;text-align:center\"><img src=\"https:\/\/lean-app.com\/wp-content\/uploads\/2025\/08\/modifier-macronutriments-aliment-scan-ia-lean-app-527x1024.jpg\" alt=\"Macros des chips estim\u00e9es par l'IA dans Lean : 4,1 g de lipides\" width=\"527\" height=\"1024\" loading=\"lazy\" decoding=\"async\" style=\"width:100%;height:auto;border-radius:22px;box-shadow:0 10px 28px rgba(0,0,0,.10);display:block\"><figcaption style=\"font-size:13px;color:#3A3A3C;margin-top:10px;line-height:1.45;text-transform:none;letter-spacing:0\">Chips if\u00f8lge AI-en: 4,1&nbsp;g fett.<\/figcaption><\/figure>\n    <figure style=\"flex:1;max-width:160px;min-width:140px;margin:0;text-align:center\"><img src=\"https:\/\/lean-app.com\/wp-content\/uploads\/2025\/08\/modification-quantite-chips-scan-ia-lean-app-517x1024.jpg\" alt=\"Macros des chips corrig\u00e9es \u00e0 la main dans Lean : 14 g de lipides\" width=\"517\" height=\"1024\" loading=\"lazy\" decoding=\"async\" style=\"width:100%;height:auto;border-radius:22px;box-shadow:0 10px 28px rgba(0,0,0,.10);display:block\"><figcaption style=\"font-size:13px;color:#3A3A3C;margin-top:10px;line-height:1.45;text-transform:none;letter-spacing:0\">Korrigert manuelt: 14&nbsp;g.<\/figcaption><\/figure><\/div><\/div>\n    <div class=\"solution-card\" style=\"background:#F7F6F2;padding:18px 20px;border-radius:0 12px 12px 0;border-left:4px solid #FF2D6E\"><div class=\"kicker\" style=\"color:#FF2D6E;font-size:12px;font-weight:700;text-transform:uppercase;letter-spacing:0.06em;margin-bottom:8px\">Spak 3<\/div><h3 style=\"margin:0 0 6px;font-size:18px\">Skanne \u00e9n enkelt matvare p\u00e5 nytt<\/h3><p style=\"margin:0;font-size:15px;line-height:1.55\">Tok AI-en kalkunen for ost&nbsp;? Du skriver riktig navn, linjen analyseres p\u00e5 nytt av seg selv, uten \u00e5 gj\u00f8re hele retten om igjen.<\/p><div style=\"display:flex;gap:14px;justify-content:center;align-items:flex-start;margin:24px 0;flex-wrap:wrap\"><figure style=\"flex:1;max-width:160px;min-width:140px;margin:0;text-align:center\"><img src=\"https:\/\/lean-app.com\/wp-content\/uploads\/2025\/08\/modifier-macronutriments-chips-scan-ia-lean-app-516x1024.jpg\" alt=\"Re-scan d'un aliment dans Lean : saisie du bon nom au clavier\" width=\"516\" height=\"1024\" loading=\"lazy\" decoding=\"async\" style=\"width:100%;height:auto;border-radius:22px;box-shadow:0 10px 28px rgba(0,0,0,.10);display:block\"><figcaption style=\"font-size:13px;color:#3A3A3C;margin-top:10px;line-height:1.45;text-transform:none;letter-spacing:0\">Du presiserer: kalkunskinke.<\/figcaption><\/figure>\n    <figure style=\"flex:1;max-width:160px;min-width:140px;margin:0;text-align:center\"><img src=\"https:\/\/lean-app.com\/wp-content\/uploads\/2025\/08\/resultat-final-apres-correction-scan-ia-lean-app-518x1024.jpg\" alt=\"R\u00e9sultat apr\u00e8s re-scan dans Lean : jambon de dinde identifi\u00e9, total recalcul\u00e9\" width=\"518\" height=\"1024\" loading=\"lazy\" decoding=\"async\" style=\"width:100%;height:auto;border-radius:22px;box-shadow:0 10px 28px rgba(0,0,0,.10);display:block\"><figcaption style=\"font-size:13px;color:#3A3A3C;margin-top:10px;line-height:1.45;text-transform:none;letter-spacing:0\">Kalkunskinke, 53&nbsp;kcal. Total beregnet p\u00e5 nytt.<\/figcaption><\/figure><\/div><\/div><\/div>\n\n  <h3>Testen mot Cal AI: oppdeling mot samlet anslag<\/h3>\n  <p>Samme foto, to apper. Forskjellen er \u00e5penbar:<\/p>\n\n  <div style=\"display:flex;gap:14px;justify-content:center;align-items:flex-start;margin:24px 0\"><figure style=\"flex:1;max-width:190px;min-width:140px;margin:0;text-align:center\"><img src=\"https:\/\/lean-app.com\/wp-content\/uploads\/2025\/08\/comparatif-analyse-ia-repas-lean-vs-cal-ai-532x1024.jpg\" alt=\"Comparatif scan IA : la m\u00eame photo de repas donn\u00e9e \u00e0 Lean et \u00e0 Cal AI\" width=\"532\" height=\"1024\" loading=\"lazy\" decoding=\"async\" style=\"width:100%;height:auto;border-radius:18px;box-shadow:0 10px 28px rgba(0,0,0,.10);display:block\"><figcaption style=\"font-size:13px;color:#3A3A3C;margin-top:10px;line-height:1.45;text-transform:none;letter-spacing:0\">Samme foto, gitt til begge appene.<\/figcaption><\/figure><\/div>\n\n  <div style=\"display:flex;gap:14px;justify-content:center;align-items:center;margin:24px 0;flex-wrap:wrap\"><figure style=\"flex:1;max-width:180px;min-width:140px;margin:0;text-align:center\"><img src=\"https:\/\/lean-app.com\/wp-content\/uploads\/2025\/08\/resultat-scan-ia-sandwich-chips-lean-app-533x1024.jpg\" alt=\"R\u00e9sultat Lean : sandwich et chips d\u00e9compos\u00e9s aliment par aliment\" width=\"533\" height=\"1024\" loading=\"lazy\" decoding=\"async\" style=\"width:100%;height:auto;border-radius:22px;box-shadow:0 10px 28px rgba(0,0,0,.10);display:block\"><figcaption style=\"font-size:13px;color:#3A3A3C;margin-top:10px;line-height:1.45;text-transform:none;letter-spacing:0\">Lean: hver matvare, detaljert total.<\/figcaption><\/figure>\n    <figure style=\"flex:1;max-width:200px;min-width:140px;margin:0;text-align:center\"><img src=\"https:\/\/lean-app.com\/wp-content\/uploads\/2025\/07\/analyse-scan-repas-ia-application-cal-ai-869x1024.webp\" alt=\"R\u00e9sultat Cal AI : enveloppe globale du plat sans d\u00e9composition\" width=\"869\" height=\"1024\" loading=\"lazy\" decoding=\"async\" style=\"width:100%;height:auto;border-radius:18px;box-shadow:0 10px 28px rgba(0,0,0,.10);display:block\"><figcaption style=\"font-size:13px;color:#3A3A3C;margin-top:10px;line-height:1.45;text-transform:none;letter-spacing:0\">Cal AI: et samlet anslag per rett.<\/figcaption><\/figure><\/div>\n\n  <p>Det er den strukturelle forskjellen fra de fleste skanningsapper, Cal AI i spissen: de gir et <strong>samlet anslag<\/strong> per rett, en total av kalorier og makroer uten redigerbar oppdeling matvare for matvare. Er anslaget feil, tar du det eller forkaster det. Med en oppdeling per matvare korrigeres feilen med to trykk.<\/p>\n\n  <p><strong>Riktig bruk:<\/strong> hjemmelagde retter, restaurant, kantine, alle m\u00e5ltider uten strekkode. Standardmetoden for 90&nbsp;% av m\u00e5ltidene.<\/p>\n<\/section>\n\n\n<section aria-labelledby=\"code-barres\" class=\"rev\">\n  <div class=\"section-label\"><span class=\"bar\"><\/span><span class=\"num\">03 &middot; Metode 2<\/span><\/div>\n  <h2 id=\"code-barres\">Strekkodeskanning: etikettens presisjon<\/h2>\n  <p>For alt som kommer ut av en emballasje er strekkoden usl\u00e5elig: n\u00e6ringsverdiene kommer direkte fra produsentdata. Lean st\u00f8tter seg p\u00e5 USDA- og OpenFoodFacts-basene, alts\u00e5 millioner av referanser. Du skanner, du justerer mengden, ferdig.<\/p>\n\n  <figure style=\"margin:26px auto;max-width:250px;text-align:center\"><video controls playsinline preload=\"none\" poster=\"https:\/\/lean-app.com\/wp-content\/uploads\/2026\/06\/poster-video-scan-code-barres-lean.webp\" width=\"1080\" height=\"1920\" style=\"width:100%;height:auto;border-radius:16px;display:block;background:#F7F6F2\"><source src=\"https:\/\/lean-app.com\/wp-content\/uploads\/2025\/08\/Barcode-Scan-calorie-lean-app.mp4\" type=\"video\/mp4\"><\/video><figcaption style=\"font-size:13px;color:#3A3A3C;margin-top:10px;line-height:1.45;text-transform:none;letter-spacing:0\">Skanning av strekkoden: n\u00f8yaktig oppf\u00f8ring, direkte tillegg.<\/figcaption><\/figure>\n\n  <p>Begrensningen er \u00e5penbar: den hjemmelagde pastatallerkenen din har ingen strekkode. Derfor kombineres denne metoden naturlig med AI-fotoskanning, den erstatter den ikke.<\/p>\n\n  <p><strong>Riktig bruk:<\/strong> dagligvarer, snacks, bearbeidede produkter, shaker. Maksimal presisjon p\u00e5 industriprodukter, null innsats.<\/p>\n<\/section>\n\n\n<section aria-labelledby=\"base-donnees\" class=\"rev\">\n  <div class=\"section-label\"><span class=\"bar\"><\/span><span class=\"num\">04 &middot; Metode 3<\/span><\/div>\n  <h2 id=\"base-donnees\">Database + vekt: presisjonsmodus<\/h2>\n  <p>Den historiske metoden: du veier matvaren din, du s\u00f8ker den opp i basen, du legger inn grammene. Med en kj\u00f8kkenvekt er det den mest presise metoden som finnes, den for konkurranseforberedelser og kliniske protokoller.<\/p>\n\n  <div style=\"display:flex;gap:14px;justify-content:center;align-items:flex-start;margin:24px 0;flex-wrap:wrap\"><figure style=\"flex:1;max-width:180px;min-width:140px;margin:0;text-align:center\"><img src=\"https:\/\/lean-app.com\/wp-content\/uploads\/2025\/08\/fonctionnalites-ajout-aliment-recherche-scan-lean-app-502x1024.jpg\" alt=\"Recherche d'un aliment dans la base de donn\u00e9es Lean avec historique et ajout rapide\" width=\"502\" height=\"1024\" loading=\"lazy\" decoding=\"async\" style=\"width:100%;height:auto;border-radius:22px;box-shadow:0 10px 28px rgba(0,0,0,.10);display:block\"><figcaption style=\"font-size:13px;color:#3A3A3C;margin-top:10px;line-height:1.45;text-transform:none;letter-spacing:0\">S\u00f8k, historikk, tillegg med to trykk.<\/figcaption><\/figure>\n    <figure style=\"flex:1;max-width:180px;min-width:140px;margin:0;text-align:center\"><img src=\"https:\/\/lean-app.com\/wp-content\/uploads\/2025\/08\/details-nutritionnels-thon-conserve-lean-app-501x1024.jpg\" alt=\"Fiche nutritionnelle exacte d'un produit dans Lean avec impact sur les budgets du jour\" width=\"501\" height=\"1024\" loading=\"lazy\" decoding=\"async\" style=\"width:100%;height:auto;border-radius:22px;box-shadow:0 10px 28px rgba(0,0,0,.10);display:block\"><figcaption style=\"font-size:13px;color:#3A3A3C;margin-top:10px;line-height:1.45;text-transform:none;letter-spacing:0\">N\u00f8yaktig produktoppf\u00f8ring, direkte innvirkning.<\/figcaption><\/figure><\/div>\n\n  <p>Panelet \u00abGjenst\u00e5ende \/ Innvirkning\u00bb viser deg, allerede f\u00f8r du bekrefter, hva matvaren endrer p\u00e5 dagens budsjetter: kalorier, proteiner, karbohydrater, fett, fiber. Du bestemmer med kunnskap, ikke i etterkant.<\/p>\n\n  <p>Lean reduserer friksjonen til et minimum: historikk over de hyppige matvarene dine, s\u00f8k i USDA + OpenFoodFacts, tillegg med to trykk fra listen. Men la oss v\u00e6re \u00e6rlige om den reelle kostnaden: 2 til 3 minutter per m\u00e5ltid, og disiplinen til \u00e5 veie. Det er nettopp denne friksjonen som produserer de 80&nbsp;% frafall i den klassiske metoden.<\/p>\n\n  <p><strong>Riktig bruk:<\/strong> streng deff, avansert rekomposisjon, idretter med vektklasser. Og de 5 til 10 daglige gjengangerne dine, som historikken gj\u00f8r nesten umiddelbare.<\/p>\n<\/section>\n\n\n<section aria-labelledby=\"ajout-rapide\" class=\"rev\">\n  <div class=\"section-label\"><span class=\"bar\"><\/span><span class=\"num\">05 &middot; Metode 4<\/span><\/div>\n  <h2 id=\"ajout-rapide\">Hurtigregistrering: anslaget som redder dagen<\/h2>\n  <p>Bursdagsbuffet, overfylt dag, m\u00e5ltid st\u00e5ende mellom to m\u00f8ter: noen m\u00e5ltider vil aldri bli logget n\u00f8yaktig. Hurtigregistrering lar deg legge inn et samlet anslag, kalorier og ansl\u00e5tte makroer, p\u00e5 10 sekunder. Mindre presist, uendelig mye bedre enn et datahull.<\/p>\n\n  <div style=\"display:flex;gap:14px;justify-content:center;align-items:flex-start;margin:24px 0;flex-wrap:wrap\"><figure style=\"flex:1;max-width:180px;min-width:140px;margin:0;text-align:center\"><img src=\"https:\/\/lean-app.com\/wp-content\/uploads\/2025\/08\/ajout-rapide-calories-macros-lean-app-501x1024.jpg\" alt=\"Formulaire d'ajout rapide dans Lean : nom, calories et macros saisis \u00e0 la main\" width=\"501\" height=\"1024\" loading=\"lazy\" decoding=\"async\" style=\"width:100%;height:auto;border-radius:22px;box-shadow:0 10px 28px rgba(0,0,0,.10);display:block\"><figcaption style=\"font-size:13px;color:#3A3A3C;margin-top:10px;line-height:1.45;text-transform:none;letter-spacing:0\">Navn, kalorier, makroer: 10 sekunder.<\/figcaption><\/figure>\n    <figure style=\"flex:1;max-width:180px;min-width:140px;margin:0;text-align:center\"><img src=\"https:\/\/lean-app.com\/wp-content\/uploads\/2025\/08\/resultat-ajout-rapide-repas-journal-alimentaire-lean-app-501x1024.jpg\" alt=\"Ajout rapide enregistr\u00e9 dans le journal alimentaire Lean\" width=\"501\" height=\"1024\" loading=\"lazy\" decoding=\"async\" style=\"width:100%;height:auto;border-radius:22px;box-shadow:0 10px 28px rgba(0,0,0,.10);display:block\"><figcaption style=\"font-size:13px;color:#3A3A3C;margin-top:10px;line-height:1.45;text-transform:none;letter-spacing:0\">Et anslag, dagen reddet.<\/figcaption><\/figure><\/div>\n\n  <p>Live-kaloribalansen gj\u00f8r resten: p\u00e5 skjermbildet, 2&nbsp;143&nbsp;kcal i m\u00e5l, 1&nbsp;000 inntatt, 1&nbsp;143 igjen, beregnet p\u00e5 nytt kontinuerlig gjennom dagen. En omtrentlig, men logget dag er bedre enn en perfekt dag som gis opp: det er ukesgjennomsnittet som styrer resultatet, ikke renheten i \u00e9n enkelt dag.<\/p>\n\n  <div style=\"display:flex;gap:14px;justify-content:center;align-items:flex-start;margin:24px 0\"><figure style=\"flex:1;max-width:180px;min-width:140px;margin:0;text-align:center\"><img src=\"https:\/\/lean-app.com\/wp-content\/uploads\/2025\/08\/details-nutritionnels-repas-ajout-rapide-lean-app-504x1024.jpg\" alt=\"D\u00e9tails nutritionnels d'un repas en ajout rapide dans Lean : restants et impact\" width=\"504\" height=\"1024\" loading=\"lazy\" decoding=\"async\" style=\"width:100%;height:auto;border-radius:22px;box-shadow:0 10px 28px rgba(0,0,0,.10);display:block\"><figcaption style=\"font-size:13px;color:#3A3A3C;margin-top:10px;line-height:1.45;text-transform:none;letter-spacing:0\">Gjenst\u00e5ende og innvirkning, beregnet p\u00e5 nytt live.<\/figcaption><\/figure><\/div>\n\n  <p><strong>Riktig bruk:<\/strong> travle dager, sosiale m\u00e5ltider, n\u00f8dhjelp mot oppgivelse. Metoden som hindrer \u00abjeg bommet p\u00e5 et m\u00e5ltid, da f\u00e5r uken bare g\u00e5\u00bb.<\/p>\n\n  <div class=\"hero-stores\" style=\"margin:36px 0 12px\">\n    <a href=\"https:\/\/apps.apple.com\/fr\/app\/lean-calorie-ai-podometre\/id6738668646?utm_source=seo&#038;utm_medium=blog&#038;utm_campaign=guide-compter-calories\" 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=guide-compter-calories\" 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<\/section>\n\n\n<section aria-labelledby=\"profils\" class=\"rev\">\n  <div class=\"section-label\"><span class=\"bar\"><\/span><span class=\"num\">06 &middot; Velge<\/span><\/div>\n  <h2 id=\"profils\">Hvilken metode for hvilken profil<\/h2>\n  <p>F\u00f8rst, kampen mellom de 4 metodene p\u00e5 de 4 kriteriene som teller: enkelhet per m\u00e5ltid, tilgjengelighet (fungerer det overalt, hele tiden), holdbarhet p\u00e5 lang sikt og presisjon.<\/p>\n\n  <div class=\"solution-grid\" style=\"display:grid;grid-template-columns:1fr;gap:14px;margin:22px 0\"><div style=\"background:#F7F6F2;padding:18px 20px;border-radius:0 12px 12px 0;border-left:4px solid #FF2D6E\"><h3 style=\"margin:0 0 2px;font-size:17px\">AI-fotoskanning<\/h3><p style=\"margin:0 0 12px;font-size:13px;color:#6E6E73\">Fotoet, 5 sekunder<\/p><div style=\"display:grid;grid-template-columns:1fr 1fr;gap:8px\"><div style=\"display:flex;justify-content:space-between;align-items:center;background:#fff;border-radius:8px;padding:9px 12px;gap:6px\"><span style=\"font-size:13px;color:#3A3A3C\">Enkelhet<\/span><span style=\"display:inline-block;min-width:30px;text-align:center;padding:2px 9px;border-radius:999px;background:#DDF2E6;color:#0F8F5C;font-weight:800;font-size:13px;letter-spacing:0.04em\">++<\/span><\/div><div style=\"display:flex;justify-content:space-between;align-items:center;background:#fff;border-radius:8px;padding:9px 12px;gap:6px\"><span style=\"font-size:13px;color:#3A3A3C\">Tilgjengelighet<\/span><span style=\"display:inline-block;min-width:30px;text-align:center;padding:2px 9px;border-radius:999px;background:#DDF2E6;color:#0F8F5C;font-weight:800;font-size:13px;letter-spacing:0.04em\">++<\/span><\/div><div style=\"display:flex;justify-content:space-between;align-items:center;background:#fff;border-radius:8px;padding:9px 12px;gap:6px\"><span style=\"font-size:13px;color:#3A3A3C\">Lang sikt<\/span><span style=\"display:inline-block;min-width:30px;text-align:center;padding:2px 9px;border-radius:999px;background:#DDF2E6;color:#0F8F5C;font-weight:800;font-size:13px;letter-spacing:0.04em\">++<\/span><\/div><div style=\"display:flex;justify-content:space-between;align-items:center;background:#fff;border-radius:8px;padding:9px 12px;gap:6px\"><span style=\"font-size:13px;color:#3A3A3C\">Pr\u00e9cision<\/span><span style=\"display:inline-block;min-width:30px;text-align:center;padding:2px 9px;border-radius:999px;background:#F0F7F0;color:#0F8F5C;font-weight:800;font-size:13px;letter-spacing:0.04em\">+<\/span><\/div><\/div><\/div>\n    <div style=\"background:#F7F6F2;padding:18px 20px;border-radius:0 12px 12px 0;border-left:4px solid #0F8F5C\"><h3 style=\"margin:0 0 2px;font-size:17px\">Strekkode<\/h3><p style=\"margin:0 0 12px;font-size:13px;color:#6E6E73\">Den n\u00f8yaktige etiketten<\/p><div style=\"display:grid;grid-template-columns:1fr 1fr;gap:8px\"><div style=\"display:flex;justify-content:space-between;align-items:center;background:#fff;border-radius:8px;padding:9px 12px;gap:6px\"><span style=\"font-size:13px;color:#3A3A3C\">Enkelhet<\/span><span style=\"display:inline-block;min-width:30px;text-align:center;padding:2px 9px;border-radius:999px;background:#F0F7F0;color:#0F8F5C;font-weight:800;font-size:13px;letter-spacing:0.04em\">+<\/span><\/div><div style=\"display:flex;justify-content:space-between;align-items:center;background:#fff;border-radius:8px;padding:9px 12px;gap:6px\"><span style=\"font-size:13px;color:#3A3A3C\">Tilgjengelighet<\/span><span style=\"display:inline-block;min-width:30px;text-align:center;padding:2px 9px;border-radius:999px;background:#F0F7F0;color:#0F8F5C;font-weight:800;font-size:13px;letter-spacing:0.04em\">+<\/span><\/div><div style=\"display:flex;justify-content:space-between;align-items:center;background:#fff;border-radius:8px;padding:9px 12px;gap:6px\"><span style=\"font-size:13px;color:#3A3A3C\">Lang sikt<\/span><span style=\"display:inline-block;min-width:30px;text-align:center;padding:2px 9px;border-radius:999px;background:#F0F7F0;color:#0F8F5C;font-weight:800;font-size:13px;letter-spacing:0.04em\">+<\/span><\/div><div style=\"display:flex;justify-content:space-between;align-items:center;background:#fff;border-radius:8px;padding:9px 12px;gap:6px\"><span style=\"font-size:13px;color:#3A3A3C\">Pr\u00e9cision<\/span><span style=\"display:inline-block;min-width:30px;text-align:center;padding:2px 9px;border-radius:999px;background:#DDF2E6;color:#0F8F5C;font-weight:800;font-size:13px;letter-spacing:0.04em\">++<\/span><\/div><\/div><\/div>\n    <div style=\"background:#F7F6F2;padding:18px 20px;border-radius:0 12px 12px 0;border-left:4px solid #C8A019\"><h3 style=\"margin:0 0 2px;font-size:17px\">Database + vekt<\/h3><p style=\"margin:0 0 12px;font-size:13px;color:#6E6E73\">Presisjonsmodus<\/p><div style=\"display:grid;grid-template-columns:1fr 1fr;gap:8px\"><div style=\"display:flex;justify-content:space-between;align-items:center;background:#fff;border-radius:8px;padding:9px 12px;gap:6px\"><span style=\"font-size:13px;color:#3A3A3C\">Enkelhet<\/span><span style=\"display:inline-block;min-width:30px;text-align:center;padding:2px 9px;border-radius:999px;background:#FBEDED;color:#D02E2E;font-weight:800;font-size:13px;letter-spacing:0.04em\">&minus;<\/span><\/div><div style=\"display:flex;justify-content:space-between;align-items:center;background:#fff;border-radius:8px;padding:9px 12px;gap:6px\"><span style=\"font-size:13px;color:#3A3A3C\">Tilgjengelighet<\/span><span style=\"display:inline-block;min-width:30px;text-align:center;padding:2px 9px;border-radius:999px;background:#F0F7F0;color:#0F8F5C;font-weight:800;font-size:13px;letter-spacing:0.04em\">+<\/span><\/div><div style=\"display:flex;justify-content:space-between;align-items:center;background:#fff;border-radius:8px;padding:9px 12px;gap:6px\"><span style=\"font-size:13px;color:#3A3A3C\">Lang sikt<\/span><span style=\"display:inline-block;min-width:30px;text-align:center;padding:2px 9px;border-radius:999px;background:#FBEDED;color:#D02E2E;font-weight:800;font-size:13px;letter-spacing:0.04em\">&minus;<\/span><\/div><div style=\"display:flex;justify-content:space-between;align-items:center;background:#fff;border-radius:8px;padding:9px 12px;gap:6px\"><span style=\"font-size:13px;color:#3A3A3C\">Pr\u00e9cision<\/span><span style=\"display:inline-block;min-width:30px;text-align:center;padding:2px 9px;border-radius:999px;background:#DDF2E6;color:#0F8F5C;font-weight:800;font-size:13px;letter-spacing:0.04em\">++<\/span><\/div><\/div><\/div>\n    <div style=\"background:#F7F6F2;padding:18px 20px;border-radius:0 12px 12px 0;border-left:4px solid #6E6E73\"><h3 style=\"margin:0 0 2px;font-size:17px\">Hurtigregistrering<\/h3><p style=\"margin:0 0 12px;font-size:13px;color:#6E6E73\">N\u00f8danslaget<\/p><div style=\"display:grid;grid-template-columns:1fr 1fr;gap:8px\"><div style=\"display:flex;justify-content:space-between;align-items:center;background:#fff;border-radius:8px;padding:9px 12px;gap:6px\"><span style=\"font-size:13px;color:#3A3A3C\">Enkelhet<\/span><span style=\"display:inline-block;min-width:30px;text-align:center;padding:2px 9px;border-radius:999px;background:#DDF2E6;color:#0F8F5C;font-weight:800;font-size:13px;letter-spacing:0.04em\">++<\/span><\/div><div style=\"display:flex;justify-content:space-between;align-items:center;background:#fff;border-radius:8px;padding:9px 12px;gap:6px\"><span style=\"font-size:13px;color:#3A3A3C\">Tilgjengelighet<\/span><span style=\"display:inline-block;min-width:30px;text-align:center;padding:2px 9px;border-radius:999px;background:#DDF2E6;color:#0F8F5C;font-weight:800;font-size:13px;letter-spacing:0.04em\">++<\/span><\/div><div style=\"display:flex;justify-content:space-between;align-items:center;background:#fff;border-radius:8px;padding:9px 12px;gap:6px\"><span style=\"font-size:13px;color:#3A3A3C\">Lang sikt<\/span><span style=\"display:inline-block;min-width:30px;text-align:center;padding:2px 9px;border-radius:999px;background:#FBEDED;color:#D02E2E;font-weight:800;font-size:13px;letter-spacing:0.04em\">&minus;<\/span><\/div><div style=\"display:flex;justify-content:space-between;align-items:center;background:#fff;border-radius:8px;padding:9px 12px;gap:6px\"><span style=\"font-size:13px;color:#3A3A3C\">Pr\u00e9cision<\/span><span style=\"display:inline-block;min-width:30px;text-align:center;padding:2px 9px;border-radius:999px;background:#FBEDED;color:#D02E2E;font-weight:800;font-size:13px;letter-spacing:0.04em\">&minus;<\/span><\/div><\/div><\/div><\/div>\n\n  <p style=\"font-size:13px;color:#6E6E73;margin-top:-6px\"><span style=\"display:inline-block;min-width:30px;text-align:center;padding:2px 9px;border-radius:999px;background:#DDF2E6;color:#0F8F5C;font-weight:800;font-size:13px;letter-spacing:0.04em\">++<\/span> utmerket &nbsp; <span style=\"display:inline-block;min-width:30px;text-align:center;padding:2px 9px;border-radius:999px;background:#F0F7F0;color:#0F8F5C;font-weight:800;font-size:13px;letter-spacing:0.04em\">+<\/span> bra &nbsp; <span style=\"display:inline-block;min-width:30px;text-align:center;padding:2px 9px;border-radius:999px;background:#FBEDED;color:#D02E2E;font-weight:800;font-size:13px;letter-spacing:0.04em\">&minus;<\/span> svakt punkt. \u00abLang sikt\u00bb = sannsynligheten for at du fortsatt bruker metoden om 6 m\u00e5neder.<\/p>\n\n  <p>Lesning av kampen: ingen metode vinner overalt. AI-skanningen dominerer p\u00e5 etterlevelse, base + vekt p\u00e5 presisjon, og hurtigregistrering finnes bare for \u00e5 tette hull. Derav profilene: de 4 metodene utelukker ikke hverandre, riktig strategi er en miks, dosert etter kravene dine for \u00f8yeblikket og timeplanen din. Tre profiler dekker nesten alle tilfeller.<\/p>\n\n  <div class=\"solution-grid\" style=\"display:grid;grid-template-columns:1fr;gap:14px;margin:22px 0\"><div class=\"solution-card\" style=\"background:#F7F6F2;padding:18px 20px;border-radius:0 12px 12px 0;border-left:4px solid #FF2D6E\"><div class=\"kicker\" style=\"color:#FF2D6E;font-size:12px;font-weight:700;text-transform:uppercase;letter-spacing:0.06em;margin-bottom:8px\">Profil 1 \u00b7 Nybegynner<\/div><h3 style=\"margin:0 0 6px;font-size:18px\">Null friksjon, l\u00e6re ved \u00e5 gj\u00f8re<\/h3><p style=\"margin:0;font-size:15px;line-height:1.55\">AI-fotoskanning overalt, strekkode p\u00e5 det emballerte, ingen veiing. Ett m\u00e5l: holde ut i 3 m\u00e5neder og trene \u00f8yet ditt p\u00e5 porsjoner. Presisjonen kommer etterp\u00e5, vanen f\u00f8rst.<\/p><\/div>\n    <div class=\"solution-card\" style=\"background:#F7F6F2;padding:18px 20px;border-radius:0 12px 12px 0;border-left:4px solid #0F8F5C\"><div class=\"kicker\" style=\"color:#0F8F5C;font-size:12px;font-weight:700;text-transform:uppercase;letter-spacing:0.06em;margin-bottom:8px\">Profil 2 \u00b7 Maksimal strenghet<\/div><h3 style=\"margin:0 0 6px;font-size:18px\">Hver prosent teller<\/h3><p style=\"margin:0;font-size:15px;line-height:1.55\">Vekt + database p\u00e5 hjemmelagde m\u00e5ltider, strekkode p\u00e5 det emballerte, AI-skanning p\u00e5 restaurant. For de korte fasene der presisjon virkelig l\u00f8nner seg: slutten av deffen, offisiell veiing.<\/p><\/div>\n    <div class=\"solution-card\" style=\"background:#F7F6F2;padding:18px 20px;border-radius:0 12px 12px 0;border-left:4px solid #C8A019\"><div class=\"kicker\" style=\"color:#C8A019;font-size:12px;font-weight:700;text-transform:uppercase;letter-spacing:0.06em;margin-bottom:8px\">Profil 3 \u00b7 Travel eller avansert<\/div><h3 style=\"margin:0 0 6px;font-size:18px\">P\u00e5litelige data uten \u00e5 tenke p\u00e5 det<\/h3><p style=\"margin:0;font-size:15px;line-height:1.55\">Strekkode og AI-skanning i hverdagen, hurtigregistrering som n\u00f8dhjelp p\u00e5 umulige dager. Du kjenner allerede porsjonene dine, du vil bare at dataene skal finnes.<\/p><\/div><\/div>\n\n  <p>Avgj\u00f8relsesregel, gyldig for alle: er du i tvil, velg den letteste metoden du er sikker p\u00e5 \u00e5 holde. En perfekt data du slutter \u00e5 legge inn etter 3 uker er verdt null.<\/p>\n<\/section>\n\n\n<section aria-labelledby=\"precision\" class=\"rev\">\n  <div class=\"section-label\"><span class=\"bar\"><\/span><span class=\"num\">07 &middot; Presisjon<\/span><\/div>\n  <h2 id=\"precision\">Feilen p\u00e5 \u00b110&nbsp;% som forsvinner over en m\u00e5ned<\/h2>\n  <p>Den klassiske innvendingen mot AI-skanning: \u00ab\u00b110&nbsp;% feil, det er for mye\u00bb. Det er \u00e5 resonnere p\u00e5 ett enkelt m\u00e5ltid. Men du sporer ikke ett m\u00e5ltid: du sporer omtrent 90 i m\u00e5neden.<\/p>\n\n  <div role=\"img\" aria-label=\"Douze repas scann\u00e9s : surestimations et sous-estimations se compensent autour de la consommation r\u00e9elle\" style=\"margin:24px 0;padding:24px 20px 14px;background:#F7F6F2;border-radius:12px\"><div style=\"position:relative;height:150px;display:flex;align-items:flex-start;gap:6px\"><div style=\"position:absolute;left:0;right:0;top:74px;height:2px;background:#0E0E10;z-index:2\"><\/div><div style=\"flex:1;height:58px;margin-top:17px;background:#FFD2E2;border-radius:4px 4px 0 0\"><\/div><div style=\"flex:1;height:30px;margin-top:75px;background:#BFE8CE;border-radius:0 0 4px 4px\"><\/div><div style=\"flex:1;height:22px;margin-top:53px;background:#FFD2E2;border-radius:4px 4px 0 0\"><\/div><div style=\"flex:1;height:48px;margin-top:75px;background:#BFE8CE;border-radius:0 0 4px 4px\"><\/div><div style=\"flex:1;height:40px;margin-top:35px;background:#FFD2E2;border-radius:4px 4px 0 0\"><\/div><div style=\"flex:1;height:12px;margin-top:75px;background:#BFE8CE;border-radius:0 0 4px 4px\"><\/div><div style=\"flex:1;height:30px;margin-top:45px;background:#FFD2E2;border-radius:4px 4px 0 0\"><\/div><div style=\"flex:1;height:55px;margin-top:75px;background:#BFE8CE;border-radius:0 0 4px 4px\"><\/div><div style=\"flex:1;height:18px;margin-top:57px;background:#FFD2E2;border-radius:4px 4px 0 0\"><\/div><div style=\"flex:1;height:35px;margin-top:75px;background:#BFE8CE;border-radius:0 0 4px 4px\"><\/div><div style=\"flex:1;height:45px;margin-top:30px;background:#FFD2E2;border-radius:4px 4px 0 0\"><\/div><div style=\"flex:1;height:20px;margin-top:75px;background:#BFE8CE;border-radius:0 0 4px 4px\"><\/div><\/div><div style=\"display:flex;justify-content:space-between;margin-top:10px;font-size:12px;color:#6E6E73\"><span>M\u00e5ltid 1<\/span><span>M\u00e5ltid 12<\/span><\/div><p style=\"margin:10px 0 0;font-size:13px;color:#3A3A3C;line-height:1.5;text-transform:none\">Rosa: overvurderte m\u00e5ltider. Gr\u00f8nn: undervurderte m\u00e5ltider. Svart linje: det reelle inntaket ditt. Over en m\u00e5ned utjevner avvikene hverandre.<\/p><\/div>\n\n  <p>Det er store talls lov (Kolmogorov): uavhengige tilfeldige feil utjevner hverandre n\u00e5r antall observasjoner \u00f8ker. Mandagens +12&nbsp;% opphever tirsdagens manglende 8&nbsp;%. Det som gjenst\u00e5r over en m\u00e5ned, er modellens gjennomsnittlige skjevhet, n\u00e6r null p\u00e5 en godt kalibrert skanning, ikke st\u00f8yen fra ett m\u00e5ltid.<\/p>\n\n  <p>Manuell inntasting lider derimot av et problem av en helt annen art: en <strong>systematisk skjevhet<\/strong>. Mennesker underrapporterer det de spiser, alltid i samme retning, og en skjevhet jevner seg aldri ut.<\/p>\n\n  <div class=\"statement\">\n    <div class=\"num\">47&nbsp;%<\/div>\n    <div class=\"lbl\">i avvik mellom kalorier oppgitt manuelt og kalorier faktisk inntatt, m\u00e5lt med dobbeltmerket vann hos personer som mislyktes med dietten (Lichtman, NEJM 1992). Den menneskelige skjevheten utjevnes ikke, den tilfeldige st\u00f8yen fra skanningen gj\u00f8r det.<\/div>\n  <\/div>\n\n  <p>Moralen: sp\u00f8rsm\u00e5let er ikke \u00aber AI-skanningen perfekt&nbsp;?\u00bb men \u00abhvilken metode produserer de riktigste dataene over 90 m\u00e5ltider&nbsp;?\u00bb. Og der vinner automatiseringen, fordi den erstatter en retningsbestemt skjevhet med en st\u00f8y som opphever seg selv.<\/p>\n<\/section>\n\n\n<section aria-labelledby=\"depense\" class=\"rev\">\n  <div class=\"section-label\"><span class=\"bar\"><\/span><span class=\"num\">08 &middot; Forbruket<\/span><\/div>\n  <h2 id=\"depense\">\u00c5 telle er ikke nok: den andre halvdelen av ligningen mangler<\/h2>\n  <p>En perfekt matdagbok sier ingenting alene. \u00c5 miste fett er en negativ energibalanse: inntak under forbruk. Er forbruket ditt feil beregnet, er underskuddet ditt en regnskapsmessig fiksjon, og du kan telle kaloriene dine p\u00e5 grammet uten noensinne \u00e5 komme videre.<\/p>\n\n  <div class=\"statement\">\n    <div class=\"num\">TDEE = BMR + NEAT + EAT + TEF<\/div>\n    <div class=\"lbl\">Den kanoniske ligningen for forbruket. <a class=\"inline\" href=\"https:\/\/lean-app.com\/no\/metabolisme-de-base\/\">BMR<\/a> = basalmetabolisme. <a class=\"inline\" href=\"https:\/\/lean-app.com\/no\/neat-depense-non-sportive\/\">NEAT<\/a> = aktivitet utenom trening. <a class=\"inline\" href=\"https:\/\/lean-app.com\/no\/eat\/\">EAT<\/a> = trenings\u00f8kter. <a class=\"inline\" href=\"https:\/\/lean-app.com\/no\/effet-thermique-des-aliments\/\">TEF<\/a> = ford\u00f8yelse.<\/div>\n  <\/div>\n\n  <p>Problemet: nesten alle apper ansl\u00e5r forbruket ditt med Harris-Benedict (1919) eller Mifflin-St Jeor (1990), formler p\u00e5 r\u00e5vekt som ignorerer kroppssammensetningen din. Ved lik vekt forbrenner en kropp med 15&nbsp;% fettprosent og en kropp med 30&nbsp;% slett ikke likt. Lean beregner forbruket annerledes, i fire trinn:<\/p>\n\n  <div class=\"bodyscan-illust\">\n    <div class=\"mini-phone\">\n      <div class=\"notch\"><\/div>\n      <div class=\"scr\" style=\"background-image:url(https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-screen_BMR.webp);background-size:cover;background-position:center top;background-repeat:no-repeat\"><\/div>\n    <\/div>\n    <div class=\"mini-cap\" style=\"text-align:center;font-size:13px;color:#6E6E73;max-width:200px\">Reell fettprosent. Foto, 5 sekunder.<\/div>\n  <\/div>\n\n  <div class=\"solution-grid\" style=\"display:grid;grid-template-columns:1fr;gap:14px;margin:22px 0\"><div class=\"solution-card\" style=\"background:#F7F6F2;padding:18px 20px;border-radius:0 12px 12px 0;border-left:4px solid #FF2D6E\"><div class=\"kicker\" style=\"color:#FF2D6E;font-size:12px;font-weight:700;text-transform:uppercase;letter-spacing:0.06em;margin-bottom:8px\">Trinn 1<\/div><h3 style=\"margin:0 0 6px;font-size:18px\">AI BodyScan<\/h3><p style=\"margin:0;font-size:15px;line-height:1.55\">Du tar et bilde i appen. AI-en ansl\u00e5r fettprosenten din ut fra den synlige kroppsbygningen din, gjentatt hver uke. Det er denne m\u00e5lingen som forankrer hele beregningen p\u00e5 den fettfrie massen din, ikke p\u00e5 r\u00e5vekten din.<\/p><\/div>\n    <div class=\"solution-card\" style=\"background:#F7F6F2;padding:18px 20px;border-radius:0 12px 12px 0;border-left:4px solid #FF2D6E\"><div class=\"kicker\" style=\"color:#FF2D6E;font-size:12px;font-weight:700;text-transform:uppercase;letter-spacing:0.06em;margin-bottom:8px\">Trinn 2<\/div><h3 style=\"margin:0 0 6px;font-size:18px\">BMR via patentert propriet\u00e6r modell<\/h3><p style=\"margin:0;font-size:15px;line-height:1.55\">Leans patenterte algoritme beregner basalmetabolismen din ut fra den reelle fettfrie massen din. Mer presis enn Harris-Benedict 1919 eller Mifflin-St Jeor 1990, som bare kjenner vekten din.<\/p><\/div>\n    <div class=\"solution-card\" style=\"background:#F7F6F2;padding:18px 20px;border-radius:0 12px 12px 0;border-left:4px solid #FF2D6E\"><div class=\"kicker\" style=\"color:#FF2D6E;font-size:12px;font-weight:700;text-transform:uppercase;letter-spacing:0.06em;margin-bottom:8px\">Trinn 3<\/div><h3 style=\"margin:0 0 6px;font-size:18px\">NEAT, EAT og TEF m\u00e5lt, ikke fastsatt<\/h3><p style=\"margin:0;font-size:15px;line-height:1.55\">Skrittene dine teller i NEAT, trenings\u00f8ktene dine i EAT via MET-referansetabellene, og TEF beregnes p\u00e5 makroene du faktisk har spist, nettopp takket v\u00e6re loggingen din.<\/p><\/div>\n    <div class=\"solution-card\" style=\"background:#F7F6F2;padding:18px 20px;border-radius:0 12px 12px 0;border-left:4px solid #FF2D6E\"><div class=\"kicker\" style=\"color:#FF2D6E;font-size:12px;font-weight:700;text-transform:uppercase;letter-spacing:0.06em;margin-bottom:8px\">Trinn 4<\/div><h3 style=\"margin:0 0 6px;font-size:18px\">Metabolsk tilpasning beregnet p\u00e5 nytt<\/h3><p style=\"margin:0;font-size:15px;line-height:1.55\">Ved langvarig underskudd synker BMR. Lean er den f\u00f8rste appen som modellerer denne koeffisienten og bruker den multiplikativt p\u00e5 BMR. Konvensjon 100&nbsp;% = optimalt, 90&nbsp;% = tilpasning p\u00e5 10 poeng.<\/p><\/div><\/div>\n\n  <p>Resultat: live-balansen sammenligner det du spiser (telt med de 4 metodene i denne guiden) med det du faktisk forbruker, beregnet p\u00e5 nytt kontinuerlig. Det er kombinasjonen av de to halvdelene, riktig inntak og riktig forbruk, som gj\u00f8r et fettap forutsigbart. Den ene uten den andre er regnskap i tomrommet.<\/p>\n\n  <div class=\"hero-stores\" style=\"margin:36px 0 12px\">\n    <a href=\"https:\/\/apps.apple.com\/fr\/app\/lean-calorie-ai-podometre\/id6738668646?utm_source=seo&#038;utm_medium=blog&#038;utm_campaign=guide-compter-calories\" 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=guide-compter-calories\" 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<\/section>\n\n\n<section aria-labelledby=\"faq\" class=\"rev\">\n  <div class=\"section-label\"><span class=\"bar\"><\/span><span class=\"num\">09 &middot; FAQ<\/span><\/div>\n  <h2 id=\"faq\">Ofte stilte sp\u00f8rsm\u00e5l om kaloritelling<\/h2>\n  <div class=\"faq\">\n    <details><summary>Hvor mange kalorier per dag for \u00e5 g\u00e5 ned i vekt&nbsp;?<\/summary><div class=\"ans\">Det finnes ikke noe universelt tall: alt avhenger av det totale forbruket ditt (TDEE), som varierer etter basalmetabolismen din, den daglige aktiviteten din, treningen din og kroppssammensetningen din. Den p\u00e5litelige regelen: et underskudd p\u00e5 300 til 500&nbsp;kcal under den reelle TDEE-en din, aldri et generisk tall av typen \u00ab1&nbsp;500&nbsp;kcal\u00bb tatt ut av l\u00f8se luften. Du kan ansl\u00e5 din med <a class=\"inline\" href=\"https:\/\/lean-app.com\/no\/calculateur-deficit-calorique\/\">calculateur de d\u00e9ficit calorique<\/a>.<\/div><\/details>\n    <details><summary>Er AI-fotoskanning p\u00e5litelig for \u00e5 telle kaloriene sine&nbsp;?<\/summary><div class=\"ans\">Ja, forutsatt at man forst\u00e5r hva som m\u00e5les. P\u00e5 vanlige retter er den typiske feilen omtrent \u00b110&nbsp;% per m\u00e5ltid, med en identifisering matvare for matvare du kan korrigere (mengder, makroer, ny skanning). Over en m\u00e5ned, omtrent 90 m\u00e5ltider, utjevner de tilfeldige feilene hverandre ved store talls lov: det som teller er den gjennomsnittlige skjevheten, ikke avviket i ett enkelt m\u00e5ltid.<\/div><\/details>\n    <details><summary>M\u00e5 man veie maten sin for \u00e5 telle kaloriene sine&nbsp;?<\/summary><div class=\"ans\">Bare hvis du er i en fase der hver prosent teller: streng deff, avansert rekomposisjon, idrett med vektklasser. For det store flertallet holder AI-fotoskanning og strekkode i massevis. Etterlevelse over 6 m\u00e5neder veier mye tyngre i sluttresultatet enn den teoretiske presisjonen i en veiing du kommer til \u00e5 gi opp.<\/div><\/details>\n    <details><summary>M\u00e5 man telle kaloriene sine hver dag&nbsp;?<\/summary><div class=\"ans\">Det er ukesgjennomsnittet som styrer resultatet, ikke daglig perfeksjon. P\u00e5 travle dager er en hurtigregistrering p\u00e5 10 sekunder uendelig mye bedre enn et datahull. Et omtrentlig m\u00e5ltid \u00f8delegger ingenting; en uke uten data gj\u00f8r det, fordi den skjuler trenden.<\/div><\/details>\n    <details><summary>Hvorfor g\u00e5r jeg ikke ned i vekt selv om jeg teller kaloriene mine&nbsp;?<\/summary><div class=\"ans\">To \u00e5rsaker dominerer. \u00c9n, underrapportering: opptil 47&nbsp;% m\u00e5lt avvik mellom kalorier oppgitt manuelt og kalorier faktisk inntatt (Lichtman, 1992); AI-skanningen reduserer denne skjevheten ved \u00e5 m\u00e5le tallerkenen i stedet for hukommelsen din. To, et overvurdert forbruk: de fleste apper beregner TDEE-en din med formler p\u00e5 r\u00e5vekt som ignorerer fettprosenten din og den metabolske tilpasningen. Er forbruket feil, finnes ikke det viste underskuddet.<\/div><\/details>\n    <details><summary>Gj\u00f8r kaloritelling deg besatt&nbsp;?<\/summary><div class=\"ans\">M\u00e5let er n\u00f8yaktig det motsatte: redusere oppf\u00f8lgingen til noen sekunder per m\u00e5ltid slik at den ikke tar noen mental plass, der manuelt regnskap derimot kan bli invaderende. Noen m\u00e5neder med logging trener \u00f8yet ditt p\u00e5 porsjoner; deretter kan du lette p\u00e5 det, til og med g\u00e5 over til hurtigregistrering. Ved diagnostisert spiseforstyrrelse, snakk med helsepersonell f\u00f8r du logger.<\/div><\/details>\n    <details><summary>Hva er forskjellen mellom Lean og MyFitnessPal for \u00e5 telle kaloriene sine&nbsp;?<\/summary><div class=\"ans\">MyFitnessPal bygger p\u00e5 en gigantisk samarbeidsbase, men en hovedsakelig manuell inntasting, og en TDEE ansl\u00e5tt p\u00e5 r\u00e5vekt. Lean deler opp hver rett per matvare via AI-skanningen, og beregner fremfor alt forbruket ditt p\u00e5 den reelle fettprosenten din m\u00e5lt med BodyScan, med metabolsk tilpasning. \u00c5 telle inntaket gir bare mening hvis forbruket er riktig. Detaljene app for app st\u00e5r i v\u00e5r <a class=\"inline\" href=\"https:\/\/lean-app.com\/no\/meilleures-applications-calories-2026\/\">sammenligning av de beste kaloriappene<\/a>.<\/div><\/details>\n  <\/div>\n<\/section>\n\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 class=\"src-list\">\n    <li>Burke L.E., Wang J., Sevick M.A. (2011). Self-monitoring in weight loss: a systematic review of the literature. <em>J Am Diet Assoc<\/em>. <a href=\"https:\/\/pubmed.ncbi.nlm.nih.gov\/21185970\/\" target=\"_blank\" rel=\"noopener\">PubMed 21185970<\/a>.<\/li>\n    <li>Alexander E., Tseng E., Durkin N. et al. (2018). Factors associated with early dropout in an employer-based commercial weight-loss program. <em>Obes Sci Pract<\/em>. <a href=\"https:\/\/pmc.ncbi.nlm.nih.gov\/articles\/PMC6298204\/\" target=\"_blank\" rel=\"noopener\">PMC6298204<\/a>.<\/li>\n    <li>Lichtman S.W. et al. (1992). Discrepancy between self-reported and actual caloric intake and exercise in obese subjects. <em>N Engl J Med<\/em>. <a href=\"https:\/\/pubmed.ncbi.nlm.nih.gov\/1454084\/\" target=\"_blank\" rel=\"noopener\">PubMed 1454084<\/a>.<\/li>\n    <li>Martin C.K. et al. (2009). A novel method to remotely measure food intake of free-living individuals in real time: the remote food photography method. <em>Br J Nutr<\/em>. <a href=\"https:\/\/pubmed.ncbi.nlm.nih.gov\/18616837\/\" target=\"_blank\" rel=\"noopener\">PubMed 18616837<\/a>.<\/li>\n    <li>USDA FoodData Central. Ern\u00e6ringsdatabase for referanse. <a href=\"https:\/\/fdc.nal.usda.gov\/\" target=\"_blank\" rel=\"noopener\">fdc.nal.usda.gov<\/a>.<\/li>\n    <li>Open Food Facts. Global samarbeidsbase for emballerte matvarer. <a href=\"https:\/\/world.openfoodfacts.org\/\" target=\"_blank\" rel=\"noopener\">world.openfoodfacts.org<\/a>.<\/li>\n    <li>Hall K.D. et al. (2011). Quantification of the effect of energy imbalance on bodyweight. <em>Lancet<\/em>. <a href=\"https:\/\/pubmed.ncbi.nlm.nih.gov\/21872751\/\" target=\"_blank\" rel=\"noopener\">PubMed 21872751<\/a>.<\/li>\n    <li>Mifflin M.D. et al. (1990). A new predictive equation for resting energy expenditure in healthy individuals. <em>Am J Clin Nutr<\/em>. <a href=\"https:\/\/pubmed.ncbi.nlm.nih.gov\/2305711\/\" target=\"_blank\" rel=\"noopener\">PubMed 2305711<\/a>.<\/li>\n    <li>Harris J.A., Benedict F.G. (1919). A Biometric Study of Basal Metabolism in Man. Carnegie Institution of Washington.<\/li>\n    <li>Ainsworth B.E. et al. (2011). Compendium of Physical Activities: a second update of codes and MET values. <em>Med Sci Sports Exerc<\/em>. <a href=\"https:\/\/pubmed.ncbi.nlm.nih.gov\/21681120\/\" target=\"_blank\" rel=\"noopener\">PubMed 21681120<\/a>.<\/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>Guide publisert 13. juli 2025 av Lean-teamet. Oppdatert 11. juni 2026: fullstendig omarbeiding, nye skjermbilder av AI-skanningen og vitenskapelige kilder. 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16px;background:#FAF7F2;border-radius:8px;color:#1a1a2e;text-decoration:none;font-weight:600;line-height:1.4;\">EAT: kaloriforbruket fra trenings\u00f8ktene dine <span style=\"color:#4D4D52;font-weight:400;display:block;font-size:14px;margin-top:4px;\">Hvorfor klokken din overvurderer, og hvordan Lean beregner \u00f8ktene dine.<\/span><\/a><\/li><li><a href=\"https:\/\/lean-app.com\/no\/effet-thermique-des-aliments\/\" style=\"display:block;padding:14px 16px;background:#FAF7F2;border-radius:8px;color:#1a1a2e;text-decoration:none;font-weight:600;line-height:1.4;\">TEF: matens termiske effekt ut fra makroene dine <span style=\"color:#4D4D52;font-weight:400;display:block;font-size:14px;margin-top:4px;\">Forbruksbyggesteinen loggingen din mater direkte.<\/span><\/a><\/li><\/ul><\/aside>","protected":false},"excerpt":{"rendered":"<p>Scan IA photo, code-barres, base de donn\u00e9es, ajout rapide : la pr\u00e9cision r\u00e9elle de chaque m\u00e9thode pour compter ses calories, et celle qui 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