{"id":2163,"date":"2026-09-08T15:45:35","date_gmt":"2026-09-08T15:45:35","guid":{"rendered":"https:\/\/lean-app.com\/?p=2163"},"modified":"2026-09-08T17:55:59","modified_gmt":"2026-09-08T17:55:59","slug":"perdre-du-poids-avec-chatgpt","status":"publish","type":"post","link":"https:\/\/lean-app.com\/no\/perdre-du-poids-avec-chatgpt\/","title":{"rendered":"Perdre du poids avec ChatGPT, \u00e7a marche ? \u00c9tude : 291 r\u00e9ponses, jusqu&rsquo;\u00e0 1 260 kcal d&rsquo;\u00e9cart"},"content":{"rendered":"<div id=\"lvm-shell\"><style>#lvm-shell{display:contents;--rule:#e6e2dc;--ink:#111;--muted:#6b6b6b;--font-display:-apple-system,\"SF Pro Display\",\"Segoe UI\",Roboto,Arial,sans-serif;font-family:var(--font-display)}#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)}#lvm-shell .nav-row{max-width:1160px;margin:0 auto;display:flex;align-items:center;gap:14px;padding:10px 22px;box-sizing:border-box}#lvm-shell .nav-brand{display:flex;align-items:center;gap:9px;text-decoration:none;color:var(--ink)}#lvm-shell .nav-brand img{width:28px;height:28px;border-radius:7px;object-fit:cover}#lvm-shell .nav-brand span{font-weight:600;font-size:18px;letter-spacing:-.01em}#lvm-shell .nav-spacer{flex:1}#lvm-shell .nav-link{color:var(--muted);text-decoration:none;font-size:14px}#lvm-shell .nav-link:hover{color:var(--ink)}#lvm-shell .nav-stores{display:flex;gap:6px;align-items:center}#lvm-shell .nav-stores a{display:block;line-height:0}#lvm-shell .nav-stores img{height:28px;width:auto;border-radius:5px;transition:transform .15s}#lvm-shell .nav-stores a:hover img{transform:translateY(-1px)}@media (max-width:768px){#lvm-shell .nav-row{padding:8px 18px;gap:8px}#lvm-shell .nav-link{display:none}#lvm-shell .nav-stores img{height:24px}#lvm-shell .nav-stores{gap:4px}}@media (max-width:380px){#lvm-shell .nav-stores img{height:22px}}<\/style><header class=\"nav\"><div class=\"nav-row\"><a class=\"nav-brand\" href=\"https:\/\/lean-app.com\/no\/\" aria-label=\"Lean forside\"><img loading=\"lazy\" src=\"https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-logo-lean-square-scaled.webp\" alt=\"\" width=\"512\" height=\"512\" decoding=\"async\"><span>Lean<\/span><\/a><span class=\"nav-spacer\"><\/span><a class=\"nav-link\" href=\"https:\/\/lean-app.com\/no\/tdee-calculator\/\">TDEE-kalkulator<\/a><div class=\"nav-stores\"><a href=\"https:\/\/apps.apple.com\/fr\/app\/lean-calorie-ai-podometre\/id6738668646?utm_source=seo&amp;utm_medium=blog&amp;utm_campaign=etude-chatgpt\" target=\"_blank\" rel=\"noopener\" aria-label=\"Last ned fra App Store\"><img loading=\"lazy\" src=\"https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-appstore-official.webp\" alt=\"App Store\" width=\"413\" height=\"122\" decoding=\"async\" style=\"height:48px;width:auto;border-radius:9px;display:block\"><\/a><a href=\"https:\/\/play.google.com\/store\/apps\/details?id=com.lean.testsqflite&amp;utm_source=seo&amp;utm_medium=blog&amp;utm_campaign=etude-chatgpt\" target=\"_blank\" rel=\"noopener\" aria-label=\"Tilgjengelig p\u00e5 Google Play\"><img loading=\"lazy\" src=\"https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-googleplay-official.webp\" alt=\"Google Play\" width=\"315\" height=\"95\" decoding=\"async\" style=\"height:48px;width:auto;border-radius:9px;display:block\"><\/a><\/div><\/div><\/header><\/div>\n<style>#lean-etude{--lean-sticky-top:52px}<\/style><style>\n#lean-etude {\n  --bg: #F3F0EB;\n  --white: #fff;\n  --ink: #222326;\n  --muted: #66635F;\n  --pink: #FF456C;\n  --hot: #FF2D6E;\n  --violet: #DCD0F4;\n  --night: #191A1D;\n  --line: rgb(34 35 38 \/ 15%);\n  --ease: cubic-bezier(.22,1,.36,1);\n  --pointer-x: 0;\n  --pointer-y: 0;\n  --scene-scroll: 0;\n  position: relative;\n  isolation: isolate;\n  container-type: inline-size; container-name: lean-study;\n  width: 100%; max-width: none; margin: 0; padding: 0;\n  color: var(--ink); background: var(--bg);\n  font-family: -apple-system, BlinkMacSystemFont, \"SF Pro Display\", \"SF Pro Text\", \"Segoe UI\", Roboto, Arial, sans-serif;\n  font-size: 16px; font-weight: 400; line-height: 1.6;\n  text-align: left; overflow-wrap: break-word; -webkit-font-smoothing: antialiased;\n}\n#lean-etude *, #lean-etude *::before, #lean-etude *::after { box-sizing: border-box; }\n#lean-etude [hidden] { display: none !important; }\n#lean-etude ::selection { background: var(--pink); color: var(--ink); }\n#lean-etude h1, #lean-etude h2, #lean-etude h3, #lean-etude p, #lean-etude ul, #lean-etude figure { margin: 0; padding: 0; }\n#lean-etude h1, #lean-etude h2, #lean-etude h3 { font-family: inherit; font-style: normal; text-transform: none; color: inherit; text-wrap: balance; }\n#lean-etude h1 { font-size: clamp(52px,6.2cqi,88px); font-weight: 650; line-height: 1.02; letter-spacing: -.04em; }\n#lean-etude h2 { max-width: 23ch; font-size: clamp(36px,4.6cqi,64px); font-weight: 600; line-height: 1.06; letter-spacing: -.035em; }\n#lean-etude h3 { font-size: 24px; font-weight: 600; line-height: 1.25; letter-spacing: -.025em; }\n#lean-etude p { max-width: 72ch; text-wrap: pretty; }\n#lean-etude strong { font-weight: 650; }\n#lean-etude .le-nowrap { white-space: nowrap; }\n#lean-etude ul { list-style: none; }\n#lean-etude li { margin: 0; padding: 0; }\n#lean-etude a { color: inherit; text-decoration: underline; text-underline-offset: .25em; text-decoration-thickness: 1px; }\n#lean-etude a:hover { text-decoration-thickness: 2px; }\n#lean-etude a, #lean-etude button, #lean-etude summary { -webkit-tap-highlight-color: transparent; }\n#lean-etude a:focus-visible, #lean-etude button:focus-visible, #lean-etude summary:focus-visible { outline: 2px solid currentColor; outline-offset: 5px; }\n#lean-etude button { appearance: none; border: 0; padding: 0; color: inherit; font: inherit; font-weight: 600; text-transform: none; letter-spacing: 0; cursor: pointer; }\n#lean-etude .le-section { width: 100%; margin: 0 auto; padding: 100px max(40px,calc((100% - 1280px)\/2)); scroll-margin-top: 80px; }\n#lean-etude .le-section-heading { margin-bottom: 38px; }\n#lean-etude .le-section-label { display: inline-block; margin-bottom: 20px; font-size: 13px; font-weight: 600; }\n#lean-etude .le-progress { position: sticky; top: var(--lean-sticky-top,0px); height: 2px; margin-bottom: -2px; z-index: 5; pointer-events: none; }\n#lean-etude .le-progress i { display: block; width: 100%; height: 100%; transform: scaleX(0); transform-origin: left; background: var(--pink); }\n#lean-etude .le-masthead { display: flex; align-items: center; gap: 36px; max-width: 1440px; height: 100px; margin: auto; padding: 0 40px; }\n#lean-etude .le-brand { font-size: 39px; font-weight: 750; line-height: 1; letter-spacing: -.04em; text-decoration: none; }\n#lean-etude .le-mast-caption { padding-left: 26px; border-left: 1px solid var(--line); font-size: 12px; }\n#lean-etude .le-mast-link { margin-left: auto; min-height: 44px; display: flex; align-items: center; gap: 18px; font-size: 12px; font-weight: 600; text-decoration: none; }\n#lean-etude .le-ouverture { position: relative; display: grid; grid-template-columns: 1.14fr 1fr; grid-template-rows: auto auto; column-gap: 24px; padding-top: 42px; padding-bottom: 46px; }\n#lean-etude .le-hero-copy { position: relative; align-self: center; z-index: 1; padding: 10px 0 30px; }\n#lean-etude .le-eyebrow { display: flex; align-items: center; gap: 10px; margin-bottom: 30px; font-size: 12px; font-weight: 550; }\n#lean-etude .le-eyebrow::before { content: \"\"; width: 6px; height: 6px; border-radius: 50%; background: var(--ink); }\n#lean-etude .le-title-line, #lean-etude .le-title-accent { display: block; }\n#lean-etude .le-title-accent { color: var(--hot); }\n#lean-etude .le-title-follow { display: block; max-width: 28ch; margin-top: 26px; font-size: 26px; font-weight: 500; letter-spacing: -.025em; line-height: 1.2; }\n#lean-etude .le-deck { max-width: 43ch; margin-top: 25px; font-size: 15px; line-height: 1.7; color: var(--muted); }\n#lean-etude .le-hero-actions { display: flex; align-items: center; gap: 25px; margin-top: 27px; }\n#lean-etude .le-explore { display: inline-flex; align-items: center; justify-content: center; min-height: 48px; padding: 12px 24px; border-radius: 50px; background: var(--ink); color: var(--white); font-size: 13px; font-weight: 550; text-decoration: none; transition: transform .3s var(--ease), background-color .3s; }\n#lean-etude .le-scroll-cue { font-size: 22px; }\n#lean-etude .le-byline { max-width: 55ch; margin-top: 24px; font-size: 10px; line-height: 1.7; color: var(--muted); }\n#lean-etude .le-hero-scene { position: relative; align-self: center; min-width: 0; height: 650px; perspective: 1000px; }\n#lean-etude .le-sculpture { position: absolute; inset: -28px -40px auto; width: calc(100% + 80px); height: 690px; max-width: none; object-fit: contain; display: block; mix-blend-mode: normal; transform: translate3d(calc(var(--pointer-x)*-8px),calc(var(--pointer-y)*-5px - var(--scene-scroll)*16px),0); mask-image: linear-gradient(to bottom,#000 87%,transparent 100%); }\n#lean-etude .le-scene-label { position: absolute; right: 6%; bottom: 25px; font-size: 10px; color: var(--muted); }\n#lean-etude .le-scene-orbit { position: absolute; width: 83%; height: 28%; left: 7%; bottom: 8%; border: 1px solid rgb(34 35 38 \/ 15%); border-radius: 50%; transform: rotate(-16deg); pointer-events: none; }\n#lean-etude .le-answer { position: absolute; width: 173px; padding: 14px 16px 13px; color: var(--ink); background: rgb(255 255 255 \/ 84%); backdrop-filter: blur(10px); border-radius: 9px; box-shadow: 0 4px 18px rgb(34 35 38 \/ 7%); transform: translate3d(calc(var(--pointer-x)*var(--depth,12px)),calc(var(--pointer-y)*var(--depth,12px) - var(--scene-scroll)*var(--lift,0px)),0) rotate(var(--angle,0deg)); }\n#lean-etude .le-answer-name { display: block; font-size: 9px; font-weight: 500; line-height: 1.4; }\n#lean-etude .le-answer strong { display: block; margin-top: 6px; font-size: 15px; font-weight: 650; line-height: 1.2; letter-spacing: -.02em; white-space: nowrap; }\n#lean-etude .le-answer-line { display: block; width: 100%; height: 2px; margin-top: 12px; background: var(--pink); transform-origin: left; }\n#lean-etude .le-answer-0 { --depth: 20px; --angle: -7deg; --lift: 20px; left: -8%; top: 21%; }\n#lean-etude .le-answer-1 { --depth: 10px; --angle: 6deg; --lift: -14px; right: -1%; top: 13%; }\n#lean-etude .le-answer-2 { --depth: 28px; --angle: -3deg; --lift: 36px; right: -3%; top: 44%; }\n#lean-etude .le-answer-3 { --depth: 13px; --angle: -8deg; --lift: 12px; left: -6%; bottom: 16%; }\n#lean-etude .le-answer-4 { --depth: 24px; --angle: 6deg; --lift: -6px; right: 0; bottom: 13%; }\n#lean-etude .le-hero-stats { grid-column: 1\/-1; display: grid; grid-template-columns: 1.35fr repeat(3,1fr); gap: 40px; align-items: start; padding-top: 35px; margin-top: 44px; border-top: 1px solid var(--line); }\n#lean-etude .le-hero-stat > strong { display: block; margin-bottom: 12px; font-size: 44px; line-height: .96; letter-spacing: -.035em; font-variant-numeric: tabular-nums; font-weight: 550; }\n#lean-etude .le-hero-stat > span { display: block; max-width: 25ch; font-size: 12px; line-height: 1.5; color: var(--muted); }\n#lean-etude .le-main-stat > strong { font-size: 65px; color: var(--hot); white-space: nowrap; }\n#lean-etude .le-main-stat > strong span { font-size: 19px; letter-spacing: -.01em; }\n#lean-etude .le-nav { position: sticky; top: calc(var(--lean-sticky-top,0px) + 2px); z-index: 4; display: flex; align-items: center; justify-content: center; gap: 8px; margin: 0; padding: 9px 18px; background: var(--bg); border-bottom: 1px solid var(--line); }\n#lean-etude .le-nav a { display: flex; align-items: center; justify-content: center; min-height: 42px; padding: 0 20px; color: var(--ink); border-radius: 32px; font-size: 12px; font-weight: 550; text-decoration: none;  }\n#lean-etude .le-nav a[aria-current=\"location\"] { background: var(--ink); color: var(--white); }\n#lean-etude .le-resume { background: var(--white); display: grid; grid-template-columns: .65fr 1.4fr; gap: 0 70px; }\n#lean-etude .le-resume .le-section-heading { grid-column: 1; grid-row: 1\/3; }\n#lean-etude .le-resume h2 { max-width: 9ch; }\n#lean-etude .le-summary-list { grid-column: 2; }\n#lean-etude .le-summary-list li { display: grid; grid-template-columns: 30px 1fr; gap: 22px; padding: 22px 0; border-bottom: 1px solid var(--line); }\n#lean-etude .le-summary-list li:first-child { padding-top: 0; }\n#lean-etude .le-summary-list li:last-child { border: 0; }\n#lean-etude .le-summary-num { font-size: 16px; line-height: 1.5; font-weight: 500; color: var(--muted); }\n#lean-etude .le-summary-text { font-size: 17px; line-height: 1.55; }\n#lean-etude .le-summary-list li:first-child strong { display: block; margin-bottom: 15px; font-size: 50px; font-weight: 550; letter-spacing: -.035em; line-height: 1; }\n#lean-etude .le-summary-verdict { grid-column: 2; padding: 25px 0 0 52px; margin-top: 15px; font-size: 15px; line-height: 1.7; }\n#lean-etude .le-summary-verdict > strong { color: var(--ink); }\n#lean-etude .le-methode { display: grid; grid-template-columns: .65fr 1.4fr; gap: 25px 70px; }\n#lean-etude .le-methode .le-section-heading { grid-column: 1; grid-row: 1\/3; }\n#lean-etude .le-methode h2 { font-size: 40px; max-width: 10ch; }\n#lean-etude .le-method-stats { grid-column: 2; display: grid; grid-template-columns: repeat(4,minmax(0,1fr)); gap: 30px; }\n#lean-etude .le-method-stats strong { display: block; margin-bottom: 16px; font-size: 55px; font-weight: 500; line-height: 1; letter-spacing: -.035em; }\n#lean-etude .le-method-stats span { display: block; font-size: 12px; line-height: 1.55; }\n#lean-etude .le-method-note { grid-column: 2; padding-top: 24px; border-top: 1px solid var(--line); font-size: 13px; line-height: 1.75; color: var(--muted); }\n#lean-etude .le-simple { --line: rgb(255 255 255 \/ 17%); background: var(--night); color: #F6F4F1; }\n#lean-etude .le-simple .le-section-heading, #lean-etude .le-complet .le-section-heading { max-width: 1050px; }\n#lean-etude .le-result-intro { max-width: 68ch; margin-bottom: 40px; font-size: 17px; line-height: 1.7; }\n#lean-etude .le-question { display: block; max-width: 64ch; margin: 0 0 15px; padding: 0; font-size: 21px; line-height: 1.55; }\n#lean-etude .le-simple .le-result-intro { color: #C9C6C1; font-size: 13px; }\n#lean-etude .le-simple .le-question { color: #F6F4F1; }\n#lean-etude .le-precise { display: block; margin-top: 12px; font-weight: 600; }\n#lean-etude .le-chart-controls { display: flex; align-items: center; justify-content: space-between; gap: 20px; margin: 0 0 0; padding: 20px 25px; background: rgb(255 255 255 \/ 6%); border-radius: 12px 12px 0 0; }\n#lean-etude .le-profile-buttons { display: grid; grid-template-columns: repeat(6,minmax(48px,1fr)); gap: 8px; }\n#lean-etude .le-profile-button { min-width: 54px; min-height: 44px; padding: 11px 18px; border-radius: 30px; background: transparent; font-size: 13px; transition: background-color .2s, color .2s, transform .25s var(--ease); }\n#lean-etude .le-profile-button[aria-pressed=\"true\"] { background: var(--white); color: var(--ink); }\n#lean-etude .le-complet .le-chart-controls { background: #E7E3DD; }\n#lean-etude .le-complet .le-profile-button[aria-pressed=\"true\"] { background: var(--ink); color: var(--white); }\n#lean-etude .le-all-button { min-height: 44px; padding: 10px; background: transparent; font-size: 12px; text-decoration: underline; text-underline-offset: 4px; }\n#lean-etude .le-all-button[aria-pressed=\"true\"] { text-decoration-thickness: 3px; }\n#lean-etude .le-figures { display: grid; gap: 20px; }\n#lean-etude .le-chart { --line: rgb(34 35 38 \/ 12%); display: grid; grid-template-columns: minmax(200px,.72fr) minmax(0,1.8fr); gap: 0 50px; margin: 0; padding: 40px; color: var(--ink); background: #FBFAF8; border-radius: 0 0 12px 12px; }\n#lean-etude .le-profile-title { grid-column: 1; grid-row: 1; align-self: start; font-size: 19px; font-weight: 500; line-height: 1.5; letter-spacing: -.02em; text-wrap: pretty; }\n#lean-etude .le-profile-code { display: inline-flex; align-items: center; justify-content: center; width: 36px; height: 36px; margin: 0 8px 17px 0; border-radius: 50%; background: #E9E4DD; font-size: 12px; font-weight: 600; }\n#lean-etude .le-profile-description { display: block; }\n#lean-etude .le-chart-body { grid-column: 2; grid-row: 1\/3; min-width: 0; min-height: 360px; padding: 4px 0 5px; }\n#lean-etude .le-axis { position: relative; display: flex; justify-content: space-between; padding-bottom: 13px; margin-bottom: 25px; color: #716C66; font-size: 10px; line-height: 1.2; font-variant-numeric: tabular-nums; }\n#lean-etude .le-axis-marks { position: absolute; display: flex; justify-content: space-between; inset: auto 0 0; height: 7px; border-bottom: 1px solid var(--line); }\n#lean-etude .le-axis-marks i { display: block; width: 1px; height: 6px; background: var(--line); }\n#lean-etude .le-chart-row { display: grid; grid-template-columns: minmax(0,1fr) auto; gap: 13px 8px; margin-bottom: 25px; }\n#lean-etude .le-model { font-size: 13px; font-weight: 500; line-height: 1.2; }\n#lean-etude .le-range-value { grid-column: 2; grid-row: 1; font-size: 13px; line-height: 1.2; font-variant-numeric: tabular-nums; font-weight: 600; white-space: nowrap; }\n#lean-etude .le-track { grid-column: 1\/-1; position: relative; height: 14px; background: #EAE6E0; border-radius: 9px; }\n#lean-etude .le-range { position: absolute; left: var(--start); width: var(--span); height: 100%; border-radius: 9px; background: linear-gradient(180deg,#FF829A 0%,#FF456C 57%,#EF315A 100%); box-shadow: 0 3px 8px rgb(255 69 108 \/ 15%); transform-origin: left; }\n#lean-etude .le-range::before, #lean-etude .le-range::after { content: \"\"; position: absolute; top: 5px; width: 4px; height: 4px; background: rgb(255 255 255 \/ 90%); border-radius: 50%; }\n#lean-etude .le-range::before { left: 5px; }\n#lean-etude .le-range::after { right: 5px; }\n#lean-etude .le-target { position: absolute; top: -5px; left: var(--target); width: 2px; height: 24px; background: #171719; transform: translateX(-1px); }\n#lean-etude .le-chart-caption { grid-column: 1; grid-row: 2; align-self: end; padding-top: 23px; margin-top: 28px; border-top: 1px solid var(--line); color: var(--muted); font-size: 11px; line-height: 1.7; }\n#lean-etude .le-caption-range { color: var(--ink); font-weight: 600; }\n#lean-etude .le-caption-gap { display: block; margin: 14px 0; color: var(--ink); font-size: 29px; font-weight: 600; line-height: 1.2; letter-spacing: -.025em; }\n#lean-etude .le-behavior { margin-top: 55px; }\n#lean-etude .le-behavior-title { max-width: none; margin-bottom: 28px; font-size: 21px; font-weight: 500; line-height: 1.3; }\n#lean-etude .le-behavior-list { display: grid; grid-template-columns: repeat(5,minmax(0,1fr)); gap: 36px; }\n#lean-etude .le-behavior-list li { display: grid; grid-template-rows: 80px auto; position: relative; gap: 18px; }\n#lean-etude .le-behavior-list strong { display: flex; align-items: center; justify-content: center; width: 80px; height: 80px; grid-row: 1; grid-column: 1; font-size: 25px; font-weight: 500; letter-spacing: -.02em; font-variant-numeric: tabular-nums; }\n#lean-etude .le-behavior-list li > span:not(.le-behavior-meter) { grid-row: 2; font-size: 12px; line-height: 1.6; }\n#lean-etude .le-behavior-meter { grid-row: 1; grid-column: 1; width: 80px; height: 80px; border-radius: 50%; background: conic-gradient(var(--pink) var(--percent),rgb(128 128 128 \/ 18%) 0); mask: radial-gradient(farthest-side,transparent calc(100% - 3px),#000 calc(100% - 2.5px)); transform: rotate(-90deg); }\n#lean-etude .le-behavior-meter i { display: none; }\n#lean-etude .le-insight { max-width: 68ch; margin: 45px 0 0 auto; padding-top: 30px; border-top: 1px solid var(--line); font-size: 17px; line-height: 1.7; }\n#lean-etude .le-simple .le-insight { color: #D2CFCA; }\n#lean-etude .le-simple .le-insight strong { color: var(--white); }\n#lean-etude .le-complet { padding-top: 100px; }\n#lean-etude .le-complet .le-chart { background: var(--white); }\n#lean-etude .le-comparison { margin-top: 75px; }\n#lean-etude .le-comparison-title { margin-bottom: 32px; font-size: 30px; }\n#lean-etude .le-comparison-stats { display: grid; grid-template-columns: repeat(3,minmax(0,1fr)); gap: 0; border-top: 1px solid var(--line); border-bottom: 1px solid var(--line); }\n#lean-etude .le-comparison-stats li { padding: 35px 35px 35px 0; }\n#lean-etude .le-comparison-stats li + li { padding-left: 35px; border-left: 1px solid var(--line); }\n#lean-etude .le-comparison-stats strong { display: block; margin-bottom: 22px; font-size: clamp(44px,5.5cqi,74px); font-weight: 500; line-height: .95; letter-spacing: -.035em; white-space: nowrap; }\n#lean-etude .le-comparison-stats small { font-size: 18px; font-weight: 500; letter-spacing: -.01em; }\n#lean-etude .le-comparison-stats span { display: block; max-width: 27ch; font-size: 13px; line-height: 1.6; }\n#lean-etude .le-comparison-stats li:last-child strong { color: var(--hot); }\n#lean-etude .le-suivi { --line: rgb(255 255 255 \/ 17%); color: #F6F3EF; background: var(--night); padding-bottom: 0; }\n#lean-etude .le-suivi h2 { max-width: 27ch; font-size: clamp(35px,5cqi,65px); }\n#lean-etude .le-time-headline { display: block; margin-top: 14px; color: #FF7795; }\n#lean-etude .le-time-intro { max-width: 51ch; margin: 0 0 60px auto; font-size: 17px; line-height: 1.7; color: #D5D1CB; }\n#lean-etude .le-time-stage { --time-progress: 0; display: grid; grid-template-columns: 1fr 1fr; column-gap: 100px; align-items: start; margin-bottom: 75px; }\n#lean-etude .le-time-dial { position: sticky; top: calc(var(--lean-sticky-top,0px) + 110px); padding-bottom: 40px; text-align: center; }\n#lean-etude .le-dial-face { position: relative; display: flex; flex-direction: column; align-items: center; justify-content: center; width: 100%; max-width: 390px; aspect-ratio: 1; margin: 0 auto; border-radius: 50%; background: radial-gradient(circle at 40% 40%,#353035 0%,#222124 55%,#191A1D 72%); }\n#lean-etude .le-dial-face::before { content: \"\"; position: absolute; inset: 0; border-radius: 50%; background: conic-gradient(from -90deg,#FF7795 calc(var(--time-progress)*100%),rgb(255 255 255 \/ 14%) 0); mask: radial-gradient(farthest-side,transparent calc(100% - 2px),#000 calc(100% - 1.5px)); }\n#lean-etude .le-dial-face::after { content: \"\"; position: absolute; inset: 15px; border: 1px solid rgb(255 255 255 \/ 7%); border-radius: 50%; }\n#lean-etude .le-dial-unit { font-size: 13px; }\n#lean-etude .le-dial-day { margin-top: 0; color: #FF7795; font-size: clamp(80px,12cqi,170px); font-weight: 400; line-height: 1.05; letter-spacing: -.04em; font-variant-numeric: tabular-nums; }\n#lean-etude .le-dial-caption { display: block; margin-top: 28px; font-size: 12px; color: #BEBAB4; }\n#lean-etude .le-timeline { padding-top: 0; }\n#lean-etude .le-timeline li { position: relative; min-height: 215px; padding: 25px 0 45px 33px; border-top: 1px solid var(--line); }\n#lean-etude .le-timeline li::before { content: \"\"; position: absolute; top: 30px; left: 0; width: 7px; height: 7px; border-radius: 50%; background: #777477; transition: background-color .3s; }\n#lean-etude .le-timeline li.is-current::before { background: #FF7795; box-shadow: 0 0 16px rgb(255 69 108 \/ 35%); }\n#lean-etude .le-timeline strong { display: block; margin-bottom: 20px; font-size: 17px; font-weight: 500; line-height: 1.3; }\n#lean-etude .le-timeline strong b { font-size: inherit; font-weight: inherit; }\n#lean-etude .le-timeline li > span { display: block; max-width: 34ch; font-size: 21px; line-height: 1.5; letter-spacing: -.02em; }\n#lean-etude .le-timeline li.is-current > span { color: #FFB0C2; }\n#lean-etude .le-checklists { display: grid; grid-template-columns: 1fr 1fr; gap: 85px; padding: 55px 0 80px; border-top: 1px solid var(--line); }\n#lean-etude .le-checklist h3 { max-width: 20ch; margin-bottom: 32px; font-size: 30px; font-weight: 500; }\n#lean-etude .le-checklist ul { display: grid; gap: 19px; }\n#lean-etude .le-checklist li { display: flex; gap: 14px; align-items: baseline; font-size: 14px; line-height: 1.7; color: #D2CFC9; }\n#lean-etude .le-checklist li > span:first-child { flex: 0 0 18px; color: #FF7795; font-size: 14px; }\n#lean-etude .le-checklist-yes li > span:first-child { color: #A9D7C5; }\n#lean-etude .le-verdict { margin: 0; padding: 75px max(40px,calc((100% - 1280px)\/2)); background: #DCD0F4; color: var(--ink); font-size: clamp(26px,3.5cqi,45px); font-weight: 400; letter-spacing: -.03em; line-height: 1.35; text-wrap: pretty; }\n#lean-etude .le-verdict > strong { display: block; max-width: none; margin-bottom: 34px; font-size: 13px; font-weight: 550; line-height: 1.6; letter-spacing: 0; }\n#lean-etude .le-app { display: grid; grid-template-columns: 1fr 1fr; gap: 30px 80px; background: var(--white); }\n#lean-etude .le-app .le-section-heading { margin: 0; }\n#lean-etude .le-app h2 { max-width: 15ch; font-size: 46px; }\n#lean-etude .le-app-intro { grid-column: 1; font-size: 16px; }\n#lean-etude .le-app-panel { grid-column: 2; grid-row: 1\/3; align-self: center; padding: 0 0 0 45px; border-left: 1px solid var(--line); }\n#lean-etude .le-feature-list { display: flex; flex-wrap: wrap; gap: 12px 20px; padding-bottom: 28px; margin-bottom: 30px; border-bottom: 1px solid var(--line); }\n#lean-etude .le-feature { display: inline-flex; align-items: baseline; gap: 8px; font-size: 11px; }\n#lean-etude .le-feature::before { content: \"\"; flex: 0 0 6px; width: 6px; height: 6px; background: #FA256C; border-radius: 50%; }\n#lean-etude .le-feature-1::before { background: #FF8C00; }\n#lean-etude .le-feature-2::before { background: #E84D44; }\n#lean-etude .le-feature-3::before, #lean-etude .le-feature-4::before { background: #4CAF50; }\n#lean-etude .le-feature-4 { flex-basis: 100%; }\n#lean-etude .le-app-panel > strong { display: block; max-width: 22ch; margin-bottom: 18px; font-size: 25px; font-weight: 500; letter-spacing: -.025em; line-height: 1.25; }\n#lean-etude .le-app-panel > span { display: block; font-size: 13px; line-height: 1.75; color: var(--muted); }\n#lean-etude .le-store-links { display: flex; flex-wrap: wrap; gap: 18px; margin-top: 20px; }\n#lean-etude .le-store-links a { display: flex; align-items: center; min-height: 44px; font-size: 12px; font-weight: 600; line-height: 1.4; }\n#lean-etude .le-donnees h2 { max-width: 19ch; }\n#lean-etude .le-data-list { display: grid; grid-template-columns: repeat(2,minmax(0,1fr)); column-gap: 50px; row-gap: 0; margin-bottom: 35px; }\n#lean-etude .le-data-record { padding: 28px 0; border-top: 1px solid var(--line); }\n#lean-etude .le-data-heading { margin-bottom: 17px; font-size: 16px; font-weight: 500; line-height: 1.5; text-wrap: pretty; }\n#lean-etude .le-data-heading strong { font-weight: 700; }\n#lean-etude .le-data-values { font-size: 13px; line-height: 1.9; color: var(--muted); }\n#lean-etude .le-data-values strong { color: var(--ink); font-weight: 600; font-variant-numeric: tabular-nums; }\n#lean-etude .le-data-note { max-width: 85ch; margin: 18px 0; font-size: 13px; line-height: 1.8; color: var(--muted); }\n#lean-etude .le-data-note:last-child { margin-top: 25px; font-size: 11px; }\n#lean-etude .le-disclosure { border-bottom: 1px solid var(--line); }\n#lean-etude .le-disclosure summary { position: relative; display: block; list-style: none; min-height: 68px; padding: 24px 40px 24px 0; font-size: 17px; font-weight: 500; line-height: 1.4; letter-spacing: -.02em; cursor: pointer; }\n#lean-etude .le-disclosure summary::-webkit-details-marker { display: none; }\n#lean-etude .le-disclosure summary::before, #lean-etude .le-disclosure summary::after { content: \"\"; position: absolute; right: 4px; top: 33px; width: 14px; height: 1px; background: currentColor; transition: transform .25s var(--ease); }\n#lean-etude .le-disclosure summary::after { transform: rotate(90deg); }\n#lean-etude .le-disclosure[open] summary::after { transform: rotate(0); }\n#lean-etude .le-disclosure p { max-width: 75ch; margin: 0 0 22px; font-size: 14px; line-height: 1.8; color: var(--muted); }\n#lean-etude .le-disclosure ul { max-width: 80ch; margin: 0 0 24px; padding-left: 18px; list-style: disc; font-size: 13px; line-height: 1.8; }\n#lean-etude .le-disclosure li + li { margin-top: 13px; }\n#lean-etude .le-faq { display: grid; grid-template-columns: .65fr 1.4fr; gap: 0 70px; background: var(--white); }\n#lean-etude .le-faq .le-section-heading { grid-column: 1; grid-row: 1\/8; }\n#lean-etude .le-faq h2 { font-size: 43px; }\n#lean-etude .le-faq .le-disclosure { grid-column: 2; }\n#lean-etude .le-faq .le-disclosure:first-of-type summary { padding-top: 4px; }\n#lean-etude .le-faq .le-disclosure:first-of-type summary::before, #lean-etude .le-faq .le-disclosure:first-of-type summary::after { top: 13px; }\n#lean-etude .le-suite { color: #F6F4F1; background: var(--night); }\n#lean-etude .le-suite h2 { font-size: 35px; }\n#lean-etude .le-related { display: grid; grid-template-columns: repeat(2,minmax(0,1fr)); column-gap: 65px; row-gap: 0; }\n#lean-etude .le-related li { border-top: 1px solid rgb(255 255 255 \/ 18%); }\n#lean-etude .le-related a { position: relative; display: block; height: 100%; padding: 27px 45px 27px 0; font-size: 18px; font-weight: 500; line-height: 1.4; text-decoration: none; }\n#lean-etude .le-related a::after { content: \"\u2197\"; position: absolute; right: 0; top: 26px; font-size: 23px; transition: transform .25s var(--ease); }\n#lean-etude .le-related a span { display: block; margin-top: 14px; font-size: 12px; font-weight: 400; line-height: 1.7; color: #BFBAB5; }\n#lean-etude .le-suivi { padding: 0; }\n#lean-etude .le-suivi-inner { padding: 100px max(40px,calc((100% - 1280px)\/2)) 0; }\n@media (hover:hover) {\n  #lean-etude .le-profile-button:hover:not([aria-pressed=\"true\"]) { background: rgb(128 128 128 \/ 15%); }\n  #lean-etude .le-nav a:hover:not([aria-current]) { background: #E6E0D9; }\n  #lean-etude .le-explore:hover { transform: translateY(-2px); background: #3C3C3F; }\n  #lean-etude .le-related a:hover::after { transform: translate(3px,-3px); }\n}\n#lean-etude button:active, #lean-etude .le-explore:active { transform: scale(.96); }\n@container lean-study (max-width:1100px) {\n  #lean-etude .le-suivi-inner { padding-inline: 32px; }\n  #lean-etude .le-section { padding-inline: 32px; }\n  #lean-etude .le-ouverture { grid-template-columns: 1.05fr 1fr; }\n  #lean-etude h1 { font-size: 65px; }\n  #lean-etude .le-title-follow { font-size: 23px; }\n  #lean-etude .le-hero-scene { height: 585px; }\n  #lean-etude .le-sculpture { inset: 0 -25px auto; width: calc(100% + 50px); height: 570px; }\n  #lean-etude .le-answer { width: 150px; padding: 12px; }\n  #lean-etude .le-answer strong { font-size: 13px; }\n  #lean-etude .le-answer-0 { left: -5%; }\n  #lean-etude .le-answer-2 { right: 0; }\n  #lean-etude .le-answer-3 { left: -2%; }\n  #lean-etude .le-resume, #lean-etude .le-methode, #lean-etude .le-faq { column-gap: 40px; }\n  #lean-etude .le-method-stats { gap: 22px; }\n  #lean-etude .le-chart { gap: 0 30px; padding: 32px; grid-template-columns: minmax(165px,.7fr) minmax(0,1.8fr); }\n  #lean-etude .le-profile-title { font-size: 17px; }\n  #lean-etude .le-caption-gap { font-size: 26px; }\n  #lean-etude .le-behavior-list { gap: 25px; }\n  #lean-etude .le-comparison-stats strong { font-size: 56px; }\n  #lean-etude .le-time-stage { column-gap: 65px; }\n  #lean-etude .le-checklists { gap: 50px; }\n  #lean-etude .le-app { column-gap: 40px; }\n  #lean-etude .le-app-panel { padding-left: 30px; }\n  #lean-etude .le-verdict { padding-inline: 32px; }\n}\n@container lean-study (max-width:800px) {\n  #lean-etude .le-suivi-inner { padding: 74px 28px 0; }\n  #lean-etude .le-masthead { height: 82px; padding-inline: 28px; }\n  #lean-etude .le-section { padding: 74px 28px; }\n  #lean-etude .le-ouverture { padding-top: 28px; padding-bottom: 34px; gap: 0 12px; }\n  #lean-etude h1 { font-size: 51px; }\n  #lean-etude .le-eyebrow { font-size: 10px; margin-bottom: 22px; }\n  #lean-etude .le-title-follow { margin-top: 20px; font-size: 21px; }\n  #lean-etude .le-deck { font-size: 14px; }\n  #lean-etude .le-hero-scene { height: 530px; }\n  #lean-etude .le-sculpture { inset: 0 -20px auto; width: calc(100% + 40px); height: 520px; }\n  #lean-etude .le-answer { width: 133px; padding: 10px; }\n  #lean-etude .le-answer-name { font-size: 8px; }\n  #lean-etude .le-answer strong { font-size: 12px; }\n  #lean-etude .le-answer-0 { left: -4%; top: 19%; }\n  #lean-etude .le-answer-1 { right: 0; top: 6%; }\n  #lean-etude .le-answer-3 { bottom: 25%; left: -3%; }\n  #lean-etude .le-answer-4 { bottom: 12%; }\n  #lean-etude .le-hero-stats { gap: 24px; grid-template-columns: 1.2fr repeat(3,1fr); margin-top: 20px; }\n  #lean-etude .le-hero-stat > strong { font-size: 38px; }\n  #lean-etude .le-main-stat > strong { font-size: 49px; }\n  #lean-etude .le-main-stat > strong span { font-size: 15px; }\n  #lean-etude .le-hero-stat > span { font-size: 11px; }\n  #lean-etude h2 { font-size: 43px; }\n  #lean-etude .le-resume, #lean-etude .le-methode { grid-template-columns: .6fr 1fr; gap: 25px 40px; }\n  #lean-etude .le-summary-text { font-size: 15px; }\n  #lean-etude .le-summary-list li:first-child strong { font-size: 35px; }\n  #lean-etude .le-summary-list li { gap: 14px; grid-template-columns: 20px 1fr; }\n  #lean-etude .le-summary-verdict { padding-left: 34px; font-size: 14px; }\n  #lean-etude .le-method-stats { grid-template-columns: repeat(2,minmax(0,1fr)); gap: 28px; }\n  #lean-etude .le-method-note { font-size: 12px; }\n  #lean-etude .le-chart { gap: 0 24px; padding: 28px; }\n  #lean-etude .le-chart-caption { font-size: 10px; }\n  #lean-etude .le-caption-gap { font-size: 24px; }\n  #lean-etude .le-model, #lean-etude .le-range-value { font-size: 12px; }\n  #lean-etude .le-comparison-stats strong { font-size: 45px; }\n  #lean-etude .le-comparison-stats li { padding-right: 24px; }\n  #lean-etude .le-comparison-stats li + li { padding-left: 24px; }\n  #lean-etude .le-comparison-stats small { font-size: 14px; }\n  #lean-etude .le-time-stage { column-gap: 38px; grid-template-columns: .8fr 1fr; }\n  #lean-etude .le-timeline li > span { font-size: 18px; }\n  #lean-etude .le-app h2 { font-size: 38px; }\n  #lean-etude .le-verdict { padding: 60px 28px; }\n}\n@container lean-study (max-width:640px) {\n  #lean-etude .le-suivi-inner { padding: 60px 22px 0; }\n  #lean-etude .le-masthead { height: 76px; padding-inline: 22px; gap: 18px; }\n  #lean-etude .le-brand { font-size: 33px; }\n  #lean-etude .le-mast-caption { display: none; }\n  #lean-etude .le-mast-link { font-size: 10px; }\n  #lean-etude .le-section { padding: 60px 22px; }\n  #lean-etude .le-ouverture { display: grid; grid-template-columns: minmax(0,1fr); padding-top: 22px; padding-bottom: 30px; }\n  #lean-etude .le-hero-copy { display: contents; }\n  #lean-etude .le-ouverture .le-eyebrow { grid-row: 1; }\n  #lean-etude .le-ouverture h1 { grid-row: 2; }\n  #lean-etude .le-ouverture .le-hero-scene { grid-row: 3; }\n  #lean-etude .le-ouverture .le-deck { grid-row: 4; }\n  #lean-etude .le-ouverture .le-hero-actions { grid-row: 5; }\n  #lean-etude .le-ouverture .le-byline { grid-row: 6; }\n  #lean-etude .le-ouverture .le-hero-stats { grid-row: 7; }\n  #lean-etude h1 { font-size: clamp(40px,10.4cqi,62px); line-height: 1.04; font-weight: 650; }\n  #lean-etude .le-eyebrow { margin-bottom: 22px; font-size: 11px; }\n  #lean-etude .le-title-follow { max-width: 26ch; margin-top: 22px; font-size: 22px; }\n  #lean-etude .le-deck { margin-top: 21px; font-size: 14px; }\n  #lean-etude .le-hero-actions { margin-top: 22px; }\n  #lean-etude .le-explore { min-height: 44px; padding: 11px 21px; font-size: 12px; }\n  #lean-etude .le-byline { max-width: 57ch; margin-top: 20px; font-size: 9px; }\n  #lean-etude .le-hero-scene { height: 465px; margin-top: 17px; }\n  #lean-etude .le-sculpture { inset: -5px 0 auto; width: 100%; height: 470px; }\n  #lean-etude .le-answer { width: 138px; padding: 10px 12px; }\n  #lean-etude .le-answer-name { font-size: 8px; }\n  #lean-etude .le-answer strong { font-size: 12px; }\n  #lean-etude .le-answer-line { margin-top: 9px; }\n  #lean-etude .le-answer-0 { top: 36%; left: 0; }\n  #lean-etude .le-answer-1 { top: 5%; right: 0; }\n  #lean-etude .le-answer-2 { top: 41%; right: 0; }\n  #lean-etude .le-answer-3 { bottom: 19%; left: 0; }\n  #lean-etude .le-answer-4 { bottom: 9%; right: 0; }\n  #lean-etude .le-scene-label { bottom: 0; right: 0; font-size: 9px; }\n  #lean-etude .le-hero-stats { grid-template-columns: repeat(3,minmax(0,1fr)); gap: 30px 24px; margin-top: 35px; padding-top: 25px; }\n  #lean-etude .le-main-stat { grid-column: 1\/-1; display: flex; align-items: center; justify-content: space-between; gap: 20px; padding-bottom: 25px; border-bottom: 1px solid var(--line); }\n  #lean-etude .le-main-stat > strong { flex: 0 0 auto; margin: 0; font-size: 65px; }\n  #lean-etude .le-main-stat > strong span { display: block; margin-top: 8px; font-size: 16px; }\n  #lean-etude .le-main-stat > span { max-width: 19ch; font-size: 13px; }\n  #lean-etude .le-mini-stat > strong { font-size: 35px; }\n  #lean-etude .le-mini-stat > span { font-size: 10px; }\n  #lean-etude .le-nav { justify-content: space-between; gap: 0; padding: 7px 12px; }\n  #lean-etude .le-nav a { min-height: 44px; padding: 0 9px; font-size: 10px; }\n  #lean-etude h2 { font-size: clamp(35px,8.5cqi,48px); }\n  #lean-etude .le-section-label { font-size: 11px; margin-bottom: 18px; }\n  #lean-etude .le-section-heading { margin-bottom: 30px; }\n  #lean-etude .le-resume, #lean-etude .le-methode, #lean-etude .le-faq, #lean-etude .le-app { display: block; }\n  #lean-etude .le-resume h2 { max-width: 16ch; }\n  #lean-etude .le-summary-list li:first-child strong { font-size: 44px; }\n  #lean-etude .le-summary-list li { grid-template-columns: 18px 1fr; gap: 18px; padding-block: 22px; }\n  #lean-etude .le-summary-text { font-size: 16px; }\n  #lean-etude .le-summary-num { font-size: 13px; }\n  #lean-etude .le-summary-verdict { padding-left: 36px; margin-top: 10px; font-size: 14px; }\n  #lean-etude .le-methode h2 { max-width: 15ch; font-size: 36px; }\n  #lean-etude .le-method-stats { margin: 36px 0; grid-template-columns: repeat(4,minmax(0,1fr)); gap: 15px; }\n  #lean-etude .le-method-stats strong { margin-bottom: 12px; font-size: 40px; }\n  #lean-etude .le-method-stats span { font-size: 10px; line-height: 1.6; }\n  #lean-etude .le-method-note { font-size: 12px; }\n  #lean-etude .le-result-intro { font-size: 15px; margin-bottom: 30px; }\n  #lean-etude .le-question { font-size: 16px; }\n  #lean-etude .le-simple .le-result-intro { font-size: 12px; }\n  #lean-etude .le-chart-controls { flex-wrap: wrap; gap: 0; padding: 15px 14px 8px; margin-inline: -6px; }\n  #lean-etude .le-profile-buttons { width: 100%; grid-template-columns: repeat(6,minmax(0,1fr)); gap: 4px; }\n  #lean-etude .le-profile-button { min-width: 0; min-height: 44px; padding: 10px 8px; font-size: 12px; }\n  #lean-etude .le-all-button { margin-left: auto; min-height: 44px; padding: 9px 4px; font-size: 10px; }\n  #lean-etude .le-figures { margin-inline: -6px; }\n  #lean-etude .le-chart { display: block; padding: 22px; }\n  #lean-etude .le-profile-title { margin-bottom: 26px; font-size: 15px; line-height: 1.6; }\n  #lean-etude .le-profile-code { margin-bottom: 0; margin-right: 5px; width: 30px; height: 30px; font-size: 11px; }\n  #lean-etude .le-profile-description { display: inline; }\n  #lean-etude .le-chart-body { min-height: 348px; padding: 0; }\n  #lean-etude .le-axis { margin-bottom: 23px; font-size: 9px; }\n  #lean-etude .le-chart-row { gap: 12px 7px; margin-bottom: 26px; }\n  #lean-etude .le-model, #lean-etude .le-range-value { font-size: 12px; }\n  #lean-etude .le-track { height: 13px; }\n  #lean-etude .le-range::before, #lean-etude .le-range::after { top: 4.5px; }\n  #lean-etude .le-chart-caption { margin-top: 20px; padding-top: 22px; font-size: 11px; }\n  #lean-etude .le-caption-gap { font-size: 28px; margin: 13px 0; }\n  #lean-etude .le-behavior { margin-top: 40px; }\n  #lean-etude .le-behavior-title { font-size: 20px; margin-bottom: 25px; }\n  #lean-etude .le-behavior-list { grid-template-columns: 1fr; gap: 18px; }\n  #lean-etude .le-behavior-list li { grid-template-columns: 70px 1fr; grid-template-rows: 70px; align-items: center; gap: 20px; }\n  #lean-etude .le-behavior-list strong, #lean-etude .le-behavior-meter { width: 70px; height: 70px; }\n  #lean-etude .le-behavior-list strong { font-size: 23px; }\n  #lean-etude .le-behavior-list li > span:not(.le-behavior-meter) { grid-column: 2; grid-row: 1; font-size: 13px; max-width: 32ch; }\n  #lean-etude .le-insight { margin-top: 35px; padding-top: 26px; font-size: 15px; line-height: 1.75; }\n  #lean-etude .le-comparison { margin-top: 48px; }\n  #lean-etude .le-comparison-title { font-size: 26px; }\n  #lean-etude .le-comparison-stats { grid-template-columns: 1fr; border-bottom: 0; }\n  #lean-etude .le-comparison-stats li, #lean-etude .le-comparison-stats li + li { display: grid; grid-template-columns: 1fr 1fr; gap: 24px; align-items: center; padding: 25px 0; border-left: 0; border-bottom: 1px solid var(--line); }\n  #lean-etude .le-comparison-stats strong { margin: 0; font-size: 45px; }\n  #lean-etude .le-comparison-stats small { font-size: 13px; }\n  #lean-etude .le-comparison-stats span { font-size: 12px; }\n  #lean-etude .le-suivi h2 { font-size: 36px; }\n  #lean-etude .le-time-headline { margin-top: 18px; }\n  #lean-etude .le-time-intro { margin-top: 26px; margin-bottom: 45px; font-size: 14px; }\n  #lean-etude .le-time-stage { grid-template-columns: 90px minmax(0,1fr); gap: 24px; margin-bottom: 40px; }\n  #lean-etude .le-time-dial { top: calc(var(--lean-sticky-top,0px) + 100px); padding-bottom: 0; }\n  #lean-etude .le-dial-face { width: 90px; height: 90px; }\n  #lean-etude .le-dial-face::after { inset: 7px; }\n  #lean-etude .le-dial-unit { font-size: 8px; }\n  #lean-etude .le-dial-day { font-size: 44px; }\n  #lean-etude .le-dial-caption { margin-top: 17px; font-size: 9px; line-height: 1.6; }\n  #lean-etude .le-timeline li { min-height: 225px; padding: 20px 0 40px 18px; }\n  #lean-etude .le-timeline li::before { top: 25px; width: 5px; height: 5px; }\n  #lean-etude .le-timeline strong { margin-bottom: 18px; font-size: 12px; }\n  #lean-etude .le-timeline li > span { font-size: 17px; line-height: 1.6; letter-spacing: -.01em; }\n  #lean-etude .le-checklists { grid-template-columns: 1fr; gap: 40px; padding: 42px 0 56px; }\n  #lean-etude .le-checklist h3 { font-size: 27px; margin-bottom: 26px; }\n  #lean-etude .le-checklist li { font-size: 13px; }\n  #lean-etude .le-verdict { padding: 53px 22px; font-size: 28px; }\n  #lean-etude .le-verdict > strong { font-size: 11px; margin-bottom: 27px; }\n  #lean-etude .le-suivi { padding-bottom: 0; }\n  #lean-etude .le-app h2 { max-width: 18ch; font-size: 36px; }\n  #lean-etude .le-app-intro { margin-top: 28px; font-size: 15px; }\n  #lean-etude .le-app-panel { margin-top: 35px; padding: 28px 0 0; border-left: 0; border-top: 1px solid var(--line); }\n  #lean-etude .le-app-panel > strong { max-width: 24ch; font-size: 25px; }\n  #lean-etude .le-data-list { grid-template-columns: 1fr; gap: 0; }\n  #lean-etude .le-data-heading { font-size: 15px; }\n  #lean-etude .le-data-values { font-size: 12px; }\n  #lean-etude .le-disclosure summary { font-size: 16px; }\n  #lean-etude .le-disclosure p { font-size: 13px; }\n  #lean-etude .le-faq h2 { max-width: 13ch; font-size: 37px; }\n  #lean-etude .le-faq .le-disclosure:first-of-type summary { padding-top: 24px; }\n  #lean-etude .le-faq .le-disclosure:first-of-type summary::before, #lean-etude .le-faq .le-disclosure:first-of-type summary::after { top: 33px; }\n  #lean-etude .le-related { grid-template-columns: 1fr; }\n  #lean-etude .le-related a { font-size: 17px; }\n}\n@container lean-study (max-width:360px) {\n  #lean-etude .le-chart-controls { padding-inline: 6px; }\n  #lean-etude .le-suivi-inner { padding-inline: 18px; }\n  #lean-etude .le-section { padding-inline: 18px; }\n  #lean-etude .le-masthead { padding-inline: 18px; }\n  #lean-etude h1 { font-size: 36px; }\n  #lean-etude .le-title-follow { font-size: 21px; }\n  #lean-etude .le-hero-scene { height: 415px; }\n  #lean-etude .le-sculpture { height: 425px; }\n  #lean-etude .le-answer { width: 125px; padding: 9px 10px; }\n  #lean-etude .le-answer strong { font-size: 11px; }\n  #lean-etude .le-answer-0 { top: 36%; }\n  #lean-etude .le-answer-1 { top: 3%; }\n  #lean-etude .le-main-stat > strong { font-size: 56px; }\n  #lean-etude .le-main-stat > span { font-size: 12px; }\n  #lean-etude .le-hero-stats { gap: 24px 18px; }\n  #lean-etude .le-mini-stat > strong { font-size: 31px; }\n  #lean-etude .le-nav { padding-inline: 7px; }\n  #lean-etude .le-nav a { padding-inline: 7px; font-size: 9px; }\n  #lean-etude .le-method-stats { grid-template-columns: repeat(2,minmax(0,1fr)); gap: 28px; }\n  #lean-etude .le-method-stats span { font-size: 12px; }\n  #lean-etude .le-chart { padding: 18px; }\n  #lean-etude .le-model, #lean-etude .le-range-value { font-size: 11px; }\n  #lean-etude .le-caption-gap { font-size: 26px; }\n  #lean-etude .le-time-stage { grid-template-columns: 76px minmax(0,1fr); gap: 18px; }\n  #lean-etude .le-dial-face { width: 76px; height: 76px; }\n  #lean-etude .le-dial-day { font-size: 37px; }\n  #lean-etude .le-timeline li > span { font-size: 16px; }\n  #lean-etude .le-comparison-stats strong { font-size: 40px; }\n  #lean-etude .le-verdict { padding-inline: 18px; font-size: 26px; }\n}\n#lean-etude .le-suivi { padding: 0; }\n@media (prefers-reduced-motion:reduce) {\n  #lean-etude *, #lean-etude *::before, #lean-etude *::after { animation: none !important; transition: none !important; scroll-behavior: auto !important; }\n  #lean-etude .le-sculpture { transform: none; }\n}\n@media print {\n  #lean-etude { background: #fff; color: #222326; font-size: 11pt; }\n  #lean-etude .le-masthead, #lean-etude .le-hero-scene, #lean-etude .le-nav, #lean-etude .le-progress, #lean-etude .le-chart-controls, #lean-etude .le-time-dial, #lean-etude .le-hero-actions { display: none !important; }\n  #lean-etude .le-section { width: 100%; padding: 24px 0; background: #fff; color: #222326; }\n  #lean-etude .le-chart[hidden] { display: grid !important; }\n  #lean-etude .le-chart { break-inside: avoid; border: 1px solid #ccc; }\n  #lean-etude .le-ouverture, #lean-etude .le-resume, #lean-etude .le-methode, #lean-etude .le-faq, #lean-etude .le-app, #lean-etude .le-time-stage { display: block; }\n  #lean-etude .le-timeline li { min-height: 0; padding: 16px 0; }\n  #lean-etude .le-verdict { margin: 0; padding: 24px; }\n  #lean-etude .le-disclosure::details-content { content-visibility: visible; }\n}\n\n<\/style>\n<article aria-labelledby=\"le-title\" id=\"lean-etude\" lang=\"fr\"><div aria-hidden=\"true\" class=\"le-progress\"><i><\/i><\/div><section class=\"le-section le-ouverture\" id=\"le-ouverture\"><div class=\"le-hero-copy\"><p class=\"le-eyebrow\">Studie \u00b7 G\u00e5 ned i vekt med l&rsquo;IA<\/p>\n<h1 id=\"le-title\"><span class=\"le-title-line\">G\u00e5 ned i vekt<\/span> <span class=\"le-title-line\">med ChatGPT,<\/span> <span class=\"le-title-accent\">fungerer det?<\/span> <span class=\"le-title-follow\">Vi stilte sp\u00f8rsm\u00e5let 291 ganger til 5 IA-er<\/span><\/h1><p class=\"le-deck\">Samme person, samme sp\u00f8rsm\u00e5l, opptil 1 260 kcal forskjell. Her er hva KI-ene svarer, og hva de ikke kan gj\u00f8re.<\/p>\n<div class=\"le-hero-actions\" data-visual-copy=\"\"><a class=\"le-explore\" href=\"#le-resume\">Utforsk studien<\/a><span class=\"le-scroll-cue\">\u2193<\/span><\/div><p class=\"le-byline\">Uavhengig studie av Lean-teamet, appen som beregner forbruket ditt p\u00e5 nytt hver dag ut fra m\u00e5lingene dine \u00b7 9. september 2026 \u00b7 \u00c5pne data<\/p>\n<\/div><div aria-hidden=\"true\" class=\"le-hero-scene\" data-visual-copy=\"\"><img alt=\"Buste anatomique translucide, illustration de la d\u00e9pense \u00e9nerg\u00e9tique du corps\" class=\"le-sculpture\" loading=\"eager\" decoding=\"sync\" fetchpriority=\"high\" height=\"1400\" src=\"https:\/\/lean-app.com\/wp-content\/uploads\/2026\/09\/etude-chatgpt-hero-metabolism.webp\" width=\"1120\"\/><div class=\"le-scene-orbit\"><\/div><span class=\"le-scene-label\">P2 \u00b7 Enkel prompt<\/span><div class=\"le-answer le-answer-0\" style=\"--order:0\"><span class=\"le-answer-name\">ChatGPT (GPT-5.5)<\/span><strong>1 600 til 2 700 kcal<\/strong><i class=\"le-answer-line\"><\/i><\/div><div class=\"le-answer le-answer-1\" style=\"--order:1\"><span class=\"le-answer-name\">ChatGPT (GPT-5.4 mini)<\/span><strong>1 600 til 2 760 kcal<\/strong><i class=\"le-answer-line\"><\/i><\/div><div class=\"le-answer le-answer-2\" style=\"--order:2\"><span class=\"le-answer-name\">Gemini 3.7 Flash<\/span><strong>1 600 til 2 600 kcal<\/strong><i class=\"le-answer-line\"><\/i><\/div><div class=\"le-answer le-answer-3\" style=\"--order:3\"><span class=\"le-answer-name\">Gemini 3.1 Pro<\/span><strong>1 600 til 2 700 kcal<\/strong><i class=\"le-answer-line\"><\/i><\/div><div class=\"le-answer le-answer-4\" style=\"--order:4\"><span class=\"le-answer-name\">Claude Opus<\/span><strong>1 500 til 2 500 kcal<\/strong><i class=\"le-answer-line\"><\/i><\/div><\/div><ul class=\"le-hero-stats\"><li class=\"le-hero-stat le-main-stat\"><strong>1 260 <span>kcal<\/span><\/strong><span>forskjell for samme profil, enkel prompt<\/span><\/li>\n<li class=\"le-hero-stat le-mini-stat\"><strong>0 %<\/strong><span>ber om kroppsfett<\/span><\/li>\n<li class=\"le-hero-stat le-mini-stat\"><strong>97 %<\/strong><span>svarer med en &ldquo;stillesittende \/ aktiv&rdquo;-tabell<\/span><\/li>\n<li class=\"le-hero-stat le-mini-stat\"><strong>14 %<\/strong><span>nevner metabolsk tilpasning<\/span><\/li>\n<\/ul>\n<\/section>\n<nav aria-label=\"I denne studien\" class=\"le-nav\"><a href=\"#le-resume\">Sammendrag<\/a><a href=\"#le-simple\">Resultater<\/a><a href=\"#le-suivi\">Det egentlige sp\u00f8rsm\u00e5let<\/a><a href=\"#le-donnees\">Data<\/a><a href=\"#le-faq\">FAQ<\/a><\/nav>\n<section aria-labelledby=\"le-resume-title\" class=\"le-section le-resume\" id=\"le-resume\"><header class=\"le-section-heading\"><span class=\"le-section-label\">Sammendrag<\/span><h2 id=\"le-resume-title\">Studien p\u00e5 30 sekunder<\/h2><\/header>\n<ul class=\"le-summary-list\"><li><span class=\"le-summary-num\">1<\/span><span class=\"le-summary-text\"><strong>291 svar<\/strong> fra ChatGPT, Gemini og Claude p\u00e5 sp\u00f8rsm\u00e5let &ldquo;hvor mange kalorier for \u00e5 g\u00e5 ned i vekt?&rdquo;, for 6 identiske profiler.<\/span><\/li>\n<li><span class=\"le-summary-num\">2<\/span><span class=\"le-summary-text\">Enkel prompt (alder, vekt, h\u00f8yde): den samme personen f\u00e5r <strong>fra 1 500 til 2 700 kcal<\/strong> avhengig av KI-en og tidspunktet.<\/span><\/li>\n<li><span class=\"le-summary-num\">3<\/span><span class=\"le-summary-text\"><strong>0 %<\/strong> av svarene ber om kroppsfett. <strong>97 %<\/strong> returnerer et \u00ab stillesittende \/ moderat \/ aktivt \u00bb-rutenett, 1990-formelen.<\/span><\/li>\n<li><span class=\"le-summary-num\">4<\/span><span class=\"le-summary-text\">Fullstendig prompt (kroppsfett, skritt, \u00f8kter): fortsatt <strong>650 kcal<\/strong> av forskjell, og kroppsfett brukes bare i <strong>40 %<\/strong> beregningene.<\/span><\/li>\n<li><span class=\"le-summary-num\">5<\/span><span class=\"le-summary-text\">Ingen AI f\u00f8lger opp dagen etter: dagens skritt, m\u00e5ltider, termisk effekt, metabolsk tilpasning (<strong>14 %<\/strong> de nevner det). Tallet er l\u00e5st p\u00e5 dag 1.<\/span><\/li>\n<\/ul>\n<div class=\"le-summary-verdict\"><strong>Dom.<\/strong> Det kan fungere ved en tilfeldighet, ikke som metode: uten m\u00e5ling eller daglige oppdateringer er svaret et befolkningsgjennomsnitt som er l\u00e5st den f\u00f8rste dagen.<\/div><\/section>\n<section aria-labelledby=\"le-methode-title\" class=\"le-section le-methode\" id=\"le-methode\"><header class=\"le-section-heading\"><span class=\"le-section-label\">01 \u00b7 Metode<\/span><h2 id=\"le-methode-title\">Hva vi gjorde<\/h2><\/header>\n<ul class=\"le-method-stats\"><li><strong>6<\/strong><span>identiske profiler, fra den atletiske kvinnen til den stillesittende mannen<\/span><\/li>\n<li><strong>2<\/strong><span>promptniv\u00e5er: enkel, deretter fullstendig<\/span><\/li>\n<li><strong>5<\/strong><span>forbruker-AI-er, ny samtale hver gang<\/span><\/li>\n<li><strong>291<\/strong><span>tidsstemplede svar, publisert som \u00e5pne data<\/span><\/li>\n<\/ul>\n<p class=\"le-method-note\">ChatGPT (GPT-5.5 og GPT-5.4 mini), Gemini (3.7 Flash og 3.1 Pro), Claude Opus. Fransk og engelsk, 2 til 3 repetisjoner, uten noen instruksjoner. Den svarte linjen p\u00e5 grafene: m\u00e5let beregnet komponent for komponent p\u00e5 m\u00e5lte data (BMR p\u00e5 fettfri masse, skritt, \u00f8kter, TEF, underskudd p\u00e5 500 kcal).<\/p>\n<\/section>\n<section aria-labelledby=\"le-simple-title\" class=\"le-section le-simple\" id=\"le-simple\"><header class=\"le-section-heading\"><span class=\"le-section-label\">02 \u00b7 Resultat 1<\/span><h2 id=\"le-simple-title\">Enkel prompt: fra 1 500 til 2 700 kcal for samme person<\/h2><\/header>\n<p class=\"le-result-intro\">\u00abJeg er en mann p\u00e5 32 \u00e5r, 78 kg, 180 cm, jeg vil g\u00e5 ned i vekt, hvor mange kalorier per dag?\u00bb Sp\u00f8rsm\u00e5let slik millioner av mennesker stiller det.<\/p>\n<div class=\"le-chart-controls\" data-controls=\"simple\" hidden=\"\"><div aria-label=\"Profiler, enkel prompt\" class=\"le-profile-buttons\" role=\"group\"><button aria-controls=\"le-simple-p1\" aria-label=\"P1 \u00b7 Homme 32 ans, 78 kg, 180 cm, 12 % MG, 12 000 pas, 4 muscu\/sem\" aria-pressed=\"false\" class=\"le-profile-button\" data-profile=\"1\" type=\"button\">P1<\/button><button aria-controls=\"le-simple-p2\" aria-label=\"P2 \u00b7 Homme 32 ans, 78 kg, 180 cm, 28 % MG, 4 000 pas, aucun sport\" aria-pressed=\"false\" class=\"le-profile-button\" data-profile=\"2\" type=\"button\">P2<\/button><button aria-controls=\"le-simple-p3\" aria-label=\"P3 \u00b7 Femme 28 ans, 62 kg, 165 cm, 22 % MG, 9 000 pas, 3 fitness\/sem\" aria-pressed=\"false\" class=\"le-profile-button\" data-profile=\"3\" type=\"button\">P3<\/button><button aria-controls=\"le-simple-p4\" aria-label=\"P4 \u00b7 Femme 45 ans, 70 kg, 165 cm, 35 % MG, 3 500 pas, aucun sport\" aria-pressed=\"false\" class=\"le-profile-button\" data-profile=\"4\" type=\"button\">P4<\/button><button aria-controls=\"le-simple-p5\" aria-label=\"P5 \u00b7 Homme 50 ans, 95 kg, 178 cm, 30 % MG, 6 000 pas, 2 marches\/sem\" aria-pressed=\"false\" class=\"le-profile-button\" data-profile=\"5\" type=\"button\">P5<\/button><button aria-controls=\"le-simple-p6\" aria-label=\"P6 \u00b7 Femme 24 ans, 55 kg, 170 cm, 18 % MG, 14 000 pas, 5 courses\/sem\" aria-pressed=\"false\" class=\"le-profile-button\" data-profile=\"6\" type=\"button\">P6<\/button><\/div><button aria-pressed=\"false\" class=\"le-all-button\" data-all=\"\" type=\"button\">Vis alt<\/button><\/div><div class=\"le-figures\" data-charts=\"simple\"><figure aria-labelledby=\"le-simple-p1-title\" class=\"le-chart\" data-profile=\"1\" id=\"le-simple-p1\"><h3 class=\"le-profile-title\" id=\"le-simple-p1-title\"><span class=\"le-profile-code\">P1<\/span> \u00b7 <span class=\"le-profile-description\">Mann 32 \u00e5r, 78 kg, 180 cm, 12 % kroppsfett, 12 000 skritt, 4 styrke\u00f8kter\/uke<\/span><\/h3><div class=\"le-chart-body\"><div class=\"le-axis\"><span>1000 kcal<\/span><span>3000 kcal<\/span><div aria-hidden=\"true\" class=\"le-axis-marks\"><i><\/i><i><\/i><i><\/i><i><\/i><i><\/i><\/div><\/div><div class=\"le-chart-row\"><span class=\"le-model\">ChatGPT (GPT-5.5)<\/span><div aria-hidden=\"true\" class=\"le-track\"><div class=\"le-range\" data-start=\"25.0\" data-width=\"60.0\" style=\"--start:25.0%;--span:60.0%\"><\/div><span class=\"le-target\" data-target=\"68.0\" style=\"--target:68.0%\"><\/span><\/div><span class=\"le-range-value\">1 500 til 2 700<\/span><\/div><div class=\"le-chart-row\"><span class=\"le-model\">ChatGPT (GPT-5.4 mini)<\/span><div aria-hidden=\"true\" class=\"le-track\"><div class=\"le-range\" data-start=\"25.0\" data-width=\"47.5\" style=\"--start:25.0%;--span:47.5%\"><\/div><span class=\"le-target\" data-target=\"68.0\" style=\"--target:68.0%\"><\/span><\/div><span class=\"le-range-value\">1 500 til 2 450<\/span><\/div><div class=\"le-chart-row\"><span class=\"le-model\">Gemini 3.7 Flash<\/span><div aria-hidden=\"true\" class=\"le-track\"><div class=\"le-range\" data-start=\"30.0\" data-width=\"52.5\" style=\"--start:30.0%;--span:52.5%\"><\/div><span class=\"le-target\" data-target=\"68.0\" style=\"--target:68.0%\"><\/span><\/div><span class=\"le-range-value\">1 600 til 2 650<\/span><\/div><div class=\"le-chart-row\"><span class=\"le-model\">Gemini 3.1 Pro<\/span><div aria-hidden=\"true\" class=\"le-track\"><div class=\"le-range\" data-start=\"30.0\" data-width=\"55.0\" style=\"--start:30.0%;--span:55.0%\"><\/div><span class=\"le-target\" data-target=\"68.0\" style=\"--target:68.0%\"><\/span><\/div><span class=\"le-range-value\">1 600 til 2 700<\/span><\/div><div class=\"le-chart-row\"><span class=\"le-model\">Claude Opus<\/span><div aria-hidden=\"true\" class=\"le-track\"><div class=\"le-range\" data-start=\"25.0\" data-width=\"55.0\" style=\"--start:25.0%;--span:55.0%\"><\/div><span class=\"le-target\" data-target=\"68.0\" style=\"--target:68.0%\"><\/span><\/div><span class=\"le-range-value\">1 500 til 2 600<\/span><\/div><\/div><figcaption class=\"le-chart-caption\">Alle IA-er samlet: <strong class=\"le-caption-range\">1 500 til 2 700 kcal<\/strong>, alts\u00e5 <strong class=\"le-caption-gap\">1 200 kcal forskjell<\/strong> (28 svar). Svart linje: m\u00e5l oppn\u00e5dd komponent for komponent p\u00e5 de m\u00e5lte dataene (2 360 kcal).<\/figcaption>\n<\/figure>\n<figure aria-labelledby=\"le-simple-p2-title\" class=\"le-chart\" data-profile=\"2\" id=\"le-simple-p2\"><h3 class=\"le-profile-title\" id=\"le-simple-p2-title\"><span class=\"le-profile-code\">P2<\/span> \u00b7 <span class=\"le-profile-description\">Mann 32 \u00e5r, 78 kg, 180 cm, 28 % kroppsfett, 4 000 skritt, ingen sport<\/span><\/h3><div class=\"le-chart-body\"><div class=\"le-axis\"><span>1000 kcal<\/span><span>3000 kcal<\/span><div aria-hidden=\"true\" class=\"le-axis-marks\"><i><\/i><i><\/i><i><\/i><i><\/i><i><\/i><\/div><\/div><div class=\"le-chart-row\"><span class=\"le-model\">ChatGPT (GPT-5.5)<\/span><div aria-hidden=\"true\" class=\"le-track\"><div class=\"le-range\" data-start=\"30.0\" data-width=\"55.0\" style=\"--start:30.0%;--span:55.0%\"><\/div><span class=\"le-target\" data-target=\"19.5\" style=\"--target:19.5%\"><\/span><\/div><span class=\"le-range-value\">1 600 til 2 700<\/span><\/div><div class=\"le-chart-row\"><span class=\"le-model\">ChatGPT (GPT-5.4 mini)<\/span><div aria-hidden=\"true\" class=\"le-track\"><div class=\"le-range\" data-start=\"30.0\" data-width=\"58.0\" style=\"--start:30.0%;--span:58.0%\"><\/div><span class=\"le-target\" data-target=\"19.5\" style=\"--target:19.5%\"><\/span><\/div><span class=\"le-range-value\">1 600 til 2 760<\/span><\/div><div class=\"le-chart-row\"><span class=\"le-model\">Gemini 3.7 Flash<\/span><div aria-hidden=\"true\" class=\"le-track\"><div class=\"le-range\" data-start=\"30.0\" data-width=\"50.0\" style=\"--start:30.0%;--span:50.0%\"><\/div><span class=\"le-target\" data-target=\"19.5\" style=\"--target:19.5%\"><\/span><\/div><span class=\"le-range-value\">1 600 til 2 600<\/span><\/div><div class=\"le-chart-row\"><span class=\"le-model\">Gemini 3.1 Pro<\/span><div aria-hidden=\"true\" class=\"le-track\"><div class=\"le-range\" data-start=\"30.0\" data-width=\"55.0\" style=\"--start:30.0%;--span:55.0%\"><\/div><span class=\"le-target\" data-target=\"19.5\" style=\"--target:19.5%\"><\/span><\/div><span class=\"le-range-value\">1 600 til 2 700<\/span><\/div><div class=\"le-chart-row\"><span class=\"le-model\">Claude Opus<\/span><div aria-hidden=\"true\" class=\"le-track\"><div class=\"le-range\" data-start=\"25.0\" data-width=\"50.0\" style=\"--start:25.0%;--span:50.0%\"><\/div><span class=\"le-target\" data-target=\"19.5\" style=\"--target:19.5%\"><\/span><\/div><span class=\"le-range-value\">1 500 til 2 500<\/span><\/div><\/div><figcaption class=\"le-chart-caption\">Alle IA-er samlet: <strong class=\"le-caption-range\">1 500 til 2 760 kcal<\/strong>, alts\u00e5 <strong class=\"le-caption-gap\">1 260 kcal forskjell<\/strong> (28 svar). Svart linje: m\u00e5l oppn\u00e5dd komponent for komponent p\u00e5 de m\u00e5lte dataene (1 390 kcal).<\/figcaption>\n<\/figure>\n<figure aria-labelledby=\"le-simple-p3-title\" class=\"le-chart\" data-profile=\"3\" id=\"le-simple-p3\"><h3 class=\"le-profile-title\" id=\"le-simple-p3-title\"><span class=\"le-profile-code\">P3<\/span> \u00b7 <span class=\"le-profile-description\">Kvinne 28 \u00e5r, 62 kg, 165 cm, 22 % kroppsfett, 9 000 skritt, 3 trenings\u00f8kter\/uke<\/span><\/h3><div class=\"le-chart-body\"><div class=\"le-axis\"><span>1000 kcal<\/span><span>3000 kcal<\/span><div aria-hidden=\"true\" class=\"le-axis-marks\"><i><\/i><i><\/i><i><\/i><i><\/i><i><\/i><\/div><\/div><div class=\"le-chart-row\"><span class=\"le-model\">ChatGPT (GPT-5.5)<\/span><div aria-hidden=\"true\" class=\"le-track\"><div class=\"le-range\" data-start=\"10.0\" data-width=\"40.0\" style=\"--start:10.0%;--span:40.0%\"><\/div><span class=\"le-target\" data-target=\"24.9\" style=\"--target:24.9%\"><\/span><\/div><span class=\"le-range-value\">1 200 til 2 000<\/span><\/div><div class=\"le-chart-row\"><span class=\"le-model\">ChatGPT (GPT-5.4 mini)<\/span><div aria-hidden=\"true\" class=\"le-track\"><div class=\"le-range\" data-start=\"6.5\" data-width=\"34.5\" style=\"--start:6.5%;--span:34.5%\"><\/div><span class=\"le-target\" data-target=\"24.9\" style=\"--target:24.9%\"><\/span><\/div><span class=\"le-range-value\">1 130 til 1 820<\/span><\/div><div class=\"le-chart-row\"><span class=\"le-model\">Gemini 3.7 Flash<\/span><div aria-hidden=\"true\" class=\"le-track\"><div class=\"le-range\" data-start=\"15.0\" data-width=\"22.5\" style=\"--start:15.0%;--span:22.5%\"><\/div><span class=\"le-target\" data-target=\"24.9\" style=\"--target:24.9%\"><\/span><\/div><span class=\"le-range-value\">1 300 til 1 750<\/span><\/div><div class=\"le-chart-row\"><span class=\"le-model\">Gemini 3.1 Pro<\/span><div aria-hidden=\"true\" class=\"le-track\"><div class=\"le-range\" data-start=\"10.0\" data-width=\"30.0\" style=\"--start:10.0%;--span:30.0%\"><\/div><span class=\"le-target\" data-target=\"24.9\" style=\"--target:24.9%\"><\/span><\/div><span class=\"le-range-value\">1 200 til 1 800<\/span><\/div><div class=\"le-chart-row\"><span class=\"le-model\">Claude Opus<\/span><div aria-hidden=\"true\" class=\"le-track\"><div class=\"le-range\" data-start=\"10.0\" data-width=\"35.0\" style=\"--start:10.0%;--span:35.0%\"><\/div><span class=\"le-target\" data-target=\"24.9\" style=\"--target:24.9%\"><\/span><\/div><span class=\"le-range-value\">1 200 til 1 900<\/span><\/div><\/div><figcaption class=\"le-chart-caption\">Alle IA-er samlet: <strong class=\"le-caption-range\">1 130 til 2 000 kcal<\/strong>, alts\u00e5 <strong class=\"le-caption-gap\">870 kcal forskjell<\/strong> (25 svar). Svart linje: m\u00e5l beregnet komponent for komponent p\u00e5 m\u00e5lte data (1 499 kcal).<\/figcaption>\n<\/figure>\n<figure aria-labelledby=\"le-simple-p4-title\" class=\"le-chart\" data-profile=\"4\" id=\"le-simple-p4\"><h3 class=\"le-profile-title\" id=\"le-simple-p4-title\"><span class=\"le-profile-code\">P4<\/span> \u00b7 <span class=\"le-profile-description\">Kvinne 45 \u00e5r, 70 kg, 165 cm, 35 % kroppsfett, 3 500 skritt, ingen sport<\/span><\/h3><div class=\"le-chart-body\"><div class=\"le-axis\"><span>1000 kcal<\/span><span>3000 kcal<\/span><div aria-hidden=\"true\" class=\"le-axis-marks\"><i><\/i><i><\/i><i><\/i><i><\/i><i><\/i><\/div><\/div><div class=\"le-chart-row\"><span class=\"le-model\">ChatGPT (GPT-5.5)<\/span><div aria-hidden=\"true\" class=\"le-track\"><div class=\"le-range\" data-start=\"10.0\" data-width=\"40.0\" style=\"--start:10.0%;--span:40.0%\"><\/div><span class=\"le-target\" data-target=\"4.1\" style=\"--target:4.1%\"><\/span><\/div><span class=\"le-range-value\">1 200 til 2 000<\/span><\/div><div class=\"le-chart-row\"><span class=\"le-model\">ChatGPT (GPT-5.4 mini)<\/span><div aria-hidden=\"true\" class=\"le-track\"><div class=\"le-range\" data-start=\"5.0\" data-width=\"37.5\" style=\"--start:5.0%;--span:37.5%\"><\/div><span class=\"le-target\" data-target=\"4.1\" style=\"--target:4.1%\"><\/span><\/div><span class=\"le-range-value\">1 100 til 1 850<\/span><\/div><div class=\"le-chart-row\"><span class=\"le-model\">Gemini 3.7 Flash<\/span><div aria-hidden=\"true\" class=\"le-track\"><div class=\"le-range\" data-start=\"12.5\" data-width=\"30.0\" style=\"--start:12.5%;--span:30.0%\"><\/div><span class=\"le-target\" data-target=\"4.1\" style=\"--target:4.1%\"><\/span><\/div><span class=\"le-range-value\">1 250 til 1 850<\/span><\/div><div class=\"le-chart-row\"><span class=\"le-model\">Claude Opus<\/span><div aria-hidden=\"true\" class=\"le-track\"><div class=\"le-range\" data-start=\"10.0\" data-width=\"30.0\" style=\"--start:10.0%;--span:30.0%\"><\/div><span class=\"le-target\" data-target=\"4.1\" style=\"--target:4.1%\"><\/span><\/div><span class=\"le-range-value\">1 200 til 1 800<\/span><\/div><\/div><figcaption class=\"le-chart-caption\">Alle IA-er samlet: <strong class=\"le-caption-range\">1 100 til 2 000 kcal<\/strong>, alts\u00e5 <strong class=\"le-caption-gap\">900 kcal forskjell<\/strong> (22 svar). Svart linje: m\u00e5l beregnet komponent for komponent p\u00e5 m\u00e5lte data (1 082 kcal).<\/figcaption>\n<\/figure>\n<figure aria-labelledby=\"le-simple-p5-title\" class=\"le-chart\" data-profile=\"5\" id=\"le-simple-p5\"><h3 class=\"le-profile-title\" id=\"le-simple-p5-title\"><span class=\"le-profile-code\">P5<\/span> \u00b7 <span class=\"le-profile-description\">Mann 50 \u00e5r, 95 kg, 178 cm, 30 % kroppsfett, 6 000 skritt, 2 g\u00e5turer\/uke<\/span><\/h3><div class=\"le-chart-body\"><div class=\"le-axis\"><span>1000 kcal<\/span><span>3000 kcal<\/span><div aria-hidden=\"true\" class=\"le-axis-marks\"><i><\/i><i><\/i><i><\/i><i><\/i><i><\/i><\/div><\/div><div class=\"le-chart-row\"><span class=\"le-model\">ChatGPT (GPT-5.5)<\/span><div aria-hidden=\"true\" class=\"le-track\"><div class=\"le-range\" data-start=\"25.0\" data-width=\"45.0\" style=\"--start:25.0%;--span:45.0%\"><\/div><span class=\"le-target\" data-target=\"45.9\" style=\"--target:45.9%\"><\/span><\/div><span class=\"le-range-value\">1 500 til 2 400<\/span><\/div><div class=\"le-chart-row\"><span class=\"le-model\">ChatGPT (GPT-5.4 mini)<\/span><div aria-hidden=\"true\" class=\"le-track\"><div class=\"le-range\" data-start=\"34.0\" data-width=\"43.5\" style=\"--start:34.0%;--span:43.5%\"><\/div><span class=\"le-target\" data-target=\"45.9\" style=\"--target:45.9%\"><\/span><\/div><span class=\"le-range-value\">1 680 til 2 550<\/span><\/div><div class=\"le-chart-row\"><span class=\"le-model\">Gemini 3.7 Flash<\/span><div aria-hidden=\"true\" class=\"le-track\"><div class=\"le-range\" data-start=\"32.5\" data-width=\"32.5\" style=\"--start:32.5%;--span:32.5%\"><\/div><span class=\"le-target\" data-target=\"45.9\" style=\"--target:45.9%\"><\/span><\/div><span class=\"le-range-value\">1 650 til 2 300<\/span><\/div><div class=\"le-chart-row\"><span class=\"le-model\">Claude Opus<\/span><div aria-hidden=\"true\" class=\"le-track\"><div class=\"le-range\" data-start=\"25.0\" data-width=\"40.0\" style=\"--start:25.0%;--span:40.0%\"><\/div><span class=\"le-target\" data-target=\"45.9\" style=\"--target:45.9%\"><\/span><\/div><span class=\"le-range-value\">1 500 til 2 300<\/span><\/div><\/div><figcaption class=\"le-chart-caption\">Alle IA-er samlet: <strong class=\"le-caption-range\">1 500 til 2 550 kcal<\/strong>, alts\u00e5 <strong class=\"le-caption-gap\">1 050 kcal forskjell<\/strong> (22 svar). Svart linje: m\u00e5l beregnet komponent for komponent p\u00e5 m\u00e5lte data (1 918 kcal).<\/figcaption>\n<\/figure>\n<figure aria-labelledby=\"le-simple-p6-title\" class=\"le-chart\" data-profile=\"6\" id=\"le-simple-p6\"><h3 class=\"le-profile-title\" id=\"le-simple-p6-title\"><span class=\"le-profile-code\">P6<\/span> \u00b7 <span class=\"le-profile-description\">Kvinne 24 \u00e5r, 55 kg, 170 cm, 18 % kroppsfett, 14 000 skritt, 5 l\u00f8pe\u00f8kter\/uke<\/span><\/h3><div class=\"le-chart-body\"><div class=\"le-axis\"><span>1000 kcal<\/span><span>3000 kcal<\/span><div aria-hidden=\"true\" class=\"le-axis-marks\"><i><\/i><i><\/i><i><\/i><i><\/i><i><\/i><\/div><\/div><div class=\"le-chart-row\"><span class=\"le-model\">ChatGPT (GPT-5.5)<\/span><div aria-hidden=\"true\" class=\"le-track\"><div class=\"le-range\" data-start=\"10.0\" data-width=\"35.0\" style=\"--start:10.0%;--span:35.0%\"><\/div><span class=\"le-target\" data-target=\"36.8\" style=\"--target:36.8%\"><\/span><\/div><span class=\"le-range-value\">1 200 til 1 900<\/span><\/div><div class=\"le-chart-row\"><span class=\"le-model\">ChatGPT (GPT-5.4 mini)<\/span><div aria-hidden=\"true\" class=\"le-track\"><div class=\"le-range\" data-start=\"10.0\" data-width=\"32.5\" style=\"--start:10.0%;--span:32.5%\"><\/div><span class=\"le-target\" data-target=\"36.8\" style=\"--target:36.8%\"><\/span><\/div><span class=\"le-range-value\">1 200 til 1 850<\/span><\/div><div class=\"le-chart-row\"><span class=\"le-model\">Gemini 3.7 Flash<\/span><div aria-hidden=\"true\" class=\"le-track\"><div class=\"le-range\" data-start=\"30.0\" data-width=\"30.0\" style=\"--start:30.0%;--span:30.0%\"><\/div><span class=\"le-target\" data-target=\"36.8\" style=\"--target:36.8%\"><\/span><\/div><span class=\"le-range-value\">1 600 til 2 200<\/span><\/div><\/div><figcaption class=\"le-chart-caption\">Alle IA-er samlet: <strong class=\"le-caption-range\">1 200 til 2 200 kcal<\/strong>, alts\u00e5 <strong class=\"le-caption-gap\">1 000 kcal forskjell<\/strong> (16 svar). Svart linje: m\u00e5l beregnet komponent for komponent p\u00e5 m\u00e5lte data (1 735 kcal).<\/figcaption>\n<\/figure>\n<\/div><div class=\"le-behavior\"><h3 class=\"le-behavior-title\">AI-atferd, enkel prompt (147 svar)<\/h3><ul class=\"le-behavior-list\"><li data-percent=\"0\" style=\"--percent:0%\"><strong>0 %<\/strong><span>ber om prosent kroppsfett<\/span><span aria-hidden=\"true\" class=\"le-behavior-meter\"><i><\/i><\/span><\/li>\n<li data-percent=\"1\" style=\"--percent:1%\"><strong>1 %<\/strong><span>ber om antall daglige skritt<\/span><span aria-hidden=\"true\" class=\"le-behavior-meter\"><i><\/i><\/span><\/li>\n<li data-percent=\"97\" style=\"--percent:97%\"><strong>97 %<\/strong><span>bruker en deklarativ aktivitetsmatrise<\/span><span aria-hidden=\"true\" class=\"le-behavior-meter\"><i><\/i><\/span><\/li>\n<li data-percent=\"48\" style=\"--percent:48%\"><strong>48 %<\/strong><span>siterer Mifflin-St Jeor eller Harris-Benedict (1990, 1919)<\/span><span aria-hidden=\"true\" class=\"le-behavior-meter\"><i><\/i><\/span><\/li>\n<li data-percent=\"0\" style=\"--percent:0%\"><strong>0 %<\/strong><span>nevner den termiske effekten av mat<\/span><span aria-hidden=\"true\" class=\"le-behavior-meter\"><i><\/i><\/span><\/li>\n<\/ul>\n<\/div><div class=\"le-insight\">P1 og P2 stilte <strong>akkurat det samme sp\u00f8rsm\u00e5let<\/strong> (samme alder, vekt, h\u00f8yde) og fikk samme rutenett. Likevel skiller det reelle forbruket deres seg med nesten 1 000 kcal per dag: 12 % kroppsfett og 12 000 skritt p\u00e5 den ene siden, 28 % og 4 000 skritt p\u00e5 den andre.<\/div><\/section>\n<section aria-labelledby=\"le-complet-title\" class=\"le-section le-complet\" id=\"le-complet\"><header class=\"le-section-heading\"><span class=\"le-section-label\">03 \u00b7 Resultat 2<\/span><h2 id=\"le-complet-title\">Fullstendig prompt: fortsatt 650 kcal avvik<\/h2><\/header>\n<p class=\"le-result-intro\">Vi gir alt: kroppsfett, skritt per dag, \u00f8kter, og \u00abgi meg et presist tall\u00bb. Alle f\u00f8lger. Et presist tall er ikke et riktig tall.<\/p>\n<div class=\"le-chart-controls\" data-controls=\"complet\" hidden=\"\"><div aria-label=\"Profiler, fullstendig prompt\" class=\"le-profile-buttons\" role=\"group\"><button aria-controls=\"le-complet-p1\" aria-label=\"P1 \u00b7 Homme 32 ans, 78 kg, 180 cm, 12 % MG, 12 000 pas, 4 muscu\/sem\" aria-pressed=\"false\" class=\"le-profile-button\" data-profile=\"1\" type=\"button\">P1<\/button><button aria-controls=\"le-complet-p2\" aria-label=\"P2 \u00b7 Homme 32 ans, 78 kg, 180 cm, 28 % MG, 4 000 pas, aucun sport\" aria-pressed=\"false\" class=\"le-profile-button\" data-profile=\"2\" type=\"button\">P2<\/button><button aria-controls=\"le-complet-p3\" aria-label=\"P3 \u00b7 Femme 28 ans, 62 kg, 165 cm, 22 % MG, 9 000 pas, 3 fitness\/sem\" aria-pressed=\"false\" class=\"le-profile-button\" data-profile=\"3\" type=\"button\">P3<\/button><button aria-controls=\"le-complet-p4\" aria-label=\"P4 \u00b7 Femme 45 ans, 70 kg, 165 cm, 35 % MG, 3 500 pas, aucun sport\" aria-pressed=\"false\" class=\"le-profile-button\" data-profile=\"4\" type=\"button\">P4<\/button><button aria-controls=\"le-complet-p5\" aria-label=\"P5 \u00b7 Homme 50 ans, 95 kg, 178 cm, 30 % MG, 6 000 pas, 2 marches\/sem\" aria-pressed=\"false\" class=\"le-profile-button\" data-profile=\"5\" type=\"button\">P5<\/button><button aria-controls=\"le-complet-p6\" aria-label=\"P6 \u00b7 Femme 24 ans, 55 kg, 170 cm, 18 % MG, 14 000 pas, 5 courses\/sem\" aria-pressed=\"false\" class=\"le-profile-button\" data-profile=\"6\" type=\"button\">P6<\/button><\/div><button aria-pressed=\"false\" class=\"le-all-button\" data-all=\"\" type=\"button\">Vis alt<\/button><\/div><div class=\"le-figures\" data-charts=\"complet\"><figure aria-labelledby=\"le-complet-p1-title\" class=\"le-chart\" data-profile=\"1\" id=\"le-complet-p1\"><h3 class=\"le-profile-title\" id=\"le-complet-p1-title\"><span class=\"le-profile-code\">P1<\/span> \u00b7 <span class=\"le-profile-description\">Mann 32 \u00e5r, 78 kg, 180 cm, 12 % kroppsfett, 12 000 skritt, 4 styrke\u00f8kter\/uke<\/span><\/h3><div class=\"le-chart-body\"><div class=\"le-axis\"><span>1000 kcal<\/span><span>3000 kcal<\/span><div aria-hidden=\"true\" class=\"le-axis-marks\"><i><\/i><i><\/i><i><\/i><i><\/i><i><\/i><\/div><\/div><div class=\"le-chart-row\"><span class=\"le-model\">ChatGPT (GPT-5.5)<\/span><div aria-hidden=\"true\" class=\"le-track\"><div class=\"le-range\" data-start=\"67.5\" data-width=\"20.0\" style=\"--start:67.5%;--span:20.0%\"><\/div><span class=\"le-target\" data-target=\"68.0\" style=\"--target:68.0%\"><\/span><\/div><span class=\"le-range-value\">2 350 til 2 750<\/span><\/div><div class=\"le-chart-row\"><span class=\"le-model\">ChatGPT (GPT-5.4 mini)<\/span><div aria-hidden=\"true\" class=\"le-track\"><div class=\"le-range\" data-start=\"65.0\" data-width=\"10.0\" style=\"--start:65.0%;--span:10.0%\"><\/div><span class=\"le-target\" data-target=\"68.0\" style=\"--target:68.0%\"><\/span><\/div><span class=\"le-range-value\">2 300 til 2 500<\/span><\/div><div class=\"le-chart-row\"><span class=\"le-model\">Gemini 3.7 Flash<\/span><div aria-hidden=\"true\" class=\"le-track\"><div class=\"le-range\" data-start=\"55.0\" data-width=\"15.0\" style=\"--start:55.0%;--span:15.0%\"><\/div><span class=\"le-target\" data-target=\"68.0\" style=\"--target:68.0%\"><\/span><\/div><span class=\"le-range-value\">2 100 til 2 400<\/span><\/div><div class=\"le-chart-row\"><span class=\"le-model\">Gemini 3.1 Pro<\/span><div aria-hidden=\"true\" class=\"le-track\"><div class=\"le-range\" data-start=\"65.0\" data-width=\"20.0\" style=\"--start:65.0%;--span:20.0%\"><\/div><span class=\"le-target\" data-target=\"68.0\" style=\"--target:68.0%\"><\/span><\/div><span class=\"le-range-value\">2 300 til 2 700<\/span><\/div><div class=\"le-chart-row\"><span class=\"le-model\">Claude Opus<\/span><div aria-hidden=\"true\" class=\"le-track\"><div class=\"le-range\" data-start=\"62.5\" data-width=\"10.0\" style=\"--start:62.5%;--span:10.0%\"><\/div><span class=\"le-target\" data-target=\"68.0\" style=\"--target:68.0%\"><\/span><\/div><span class=\"le-range-value\">2 250 til 2 450<\/span><\/div><\/div><figcaption class=\"le-chart-caption\">Alle IA-er samlet: <strong class=\"le-caption-range\">2 100 til 2 750 kcal<\/strong>, alts\u00e5 <strong class=\"le-caption-gap\">650 kcal forskjell<\/strong> (28 svar). Svart linje: m\u00e5l oppn\u00e5dd komponent for komponent p\u00e5 de m\u00e5lte dataene (2 360 kcal).<\/figcaption>\n<\/figure>\n<figure aria-labelledby=\"le-complet-p2-title\" class=\"le-chart\" data-profile=\"2\" id=\"le-complet-p2\"><h3 class=\"le-profile-title\" id=\"le-complet-p2-title\"><span class=\"le-profile-code\">P2<\/span> \u00b7 <span class=\"le-profile-description\">Mann 32 \u00e5r, 78 kg, 180 cm, 28 % kroppsfett, 4 000 skritt, ingen sport<\/span><\/h3><div class=\"le-chart-body\"><div class=\"le-axis\"><span>1000 kcal<\/span><span>3000 kcal<\/span><div aria-hidden=\"true\" class=\"le-axis-marks\"><i><\/i><i><\/i><i><\/i><i><\/i><i><\/i><\/div><\/div><div class=\"le-chart-row\"><span class=\"le-model\">ChatGPT (GPT-5.5)<\/span><div aria-hidden=\"true\" class=\"le-track\"><div class=\"le-range\" data-start=\"30.0\" data-width=\"10.0\" style=\"--start:30.0%;--span:10.0%\"><\/div><span class=\"le-target\" data-target=\"19.5\" style=\"--target:19.5%\"><\/span><\/div><span class=\"le-range-value\">1 600 til 1 800<\/span><\/div><div class=\"le-chart-row\"><span class=\"le-model\">ChatGPT (GPT-5.4 mini)<\/span><div aria-hidden=\"true\" class=\"le-track\"><div class=\"le-range\" data-start=\"37.5\" data-width=\"12.5\" style=\"--start:37.5%;--span:12.5%\"><\/div><span class=\"le-target\" data-target=\"19.5\" style=\"--target:19.5%\"><\/span><\/div><span class=\"le-range-value\">1 750 til 2 000<\/span><\/div><div class=\"le-chart-row\"><span class=\"le-model\">Gemini 3.7 Flash<\/span><div aria-hidden=\"true\" class=\"le-track\"><div class=\"le-range\" data-start=\"27.5\" data-width=\"10.0\" style=\"--start:27.5%;--span:10.0%\"><\/div><span class=\"le-target\" data-target=\"19.5\" style=\"--target:19.5%\"><\/span><\/div><span class=\"le-range-value\">1 550 til 1 750<\/span><\/div><div class=\"le-chart-row\"><span class=\"le-model\">Gemini 3.1 Pro<\/span><div aria-hidden=\"true\" class=\"le-track\"><div class=\"le-range\" data-start=\"20.0\" data-width=\"20.0\" style=\"--start:20.0%;--span:20.0%\"><\/div><span class=\"le-target\" data-target=\"19.5\" style=\"--target:19.5%\"><\/span><\/div><span class=\"le-range-value\">1 400 til 1 800<\/span><\/div><div class=\"le-chart-row\"><span class=\"le-model\">Claude Opus<\/span><div aria-hidden=\"true\" class=\"le-track\"><div class=\"le-range\" data-start=\"32.5\" data-width=\"15.0\" style=\"--start:32.5%;--span:15.0%\"><\/div><span class=\"le-target\" data-target=\"19.5\" style=\"--target:19.5%\"><\/span><\/div><span class=\"le-range-value\">1 650 til 1 950<\/span><\/div><\/div><figcaption class=\"le-chart-caption\">Alle IA-er samlet: <strong class=\"le-caption-range\">1 400 til 2 000 kcal<\/strong>, alts\u00e5 <strong class=\"le-caption-gap\">600 kcal forskjell<\/strong> (28 svar). Svart linje: m\u00e5l oppn\u00e5dd komponent for komponent p\u00e5 de m\u00e5lte dataene (1 390 kcal).<\/figcaption>\n<\/figure>\n<figure aria-labelledby=\"le-complet-p3-title\" class=\"le-chart\" data-profile=\"3\" id=\"le-complet-p3\"><h3 class=\"le-profile-title\" id=\"le-complet-p3-title\"><span class=\"le-profile-code\">P3<\/span> \u00b7 <span class=\"le-profile-description\">Kvinne 28 \u00e5r, 62 kg, 165 cm, 22 % kroppsfett, 9 000 skritt, 3 trenings\u00f8kter\/uke<\/span><\/h3><div class=\"le-chart-body\"><div class=\"le-axis\"><span>1000 kcal<\/span><span>3000 kcal<\/span><div aria-hidden=\"true\" class=\"le-axis-marks\"><i><\/i><i><\/i><i><\/i><i><\/i><i><\/i><\/div><\/div><div class=\"le-chart-row\"><span class=\"le-model\">ChatGPT (GPT-5.5)<\/span><div aria-hidden=\"true\" class=\"le-track\"><div class=\"le-range\" data-start=\"30.0\" data-width=\"12.5\" style=\"--start:30.0%;--span:12.5%\"><\/div><span class=\"le-target\" data-target=\"24.9\" style=\"--target:24.9%\"><\/span><\/div><span class=\"le-range-value\">1 600 til 1 850<\/span><\/div><div class=\"le-chart-row\"><span class=\"le-model\">ChatGPT (GPT-5.4 mini)<\/span><div aria-hidden=\"true\" class=\"le-track\"><div class=\"le-range\" data-start=\"35.0\" data-width=\"7.5\" style=\"--start:35.0%;--span:7.5%\"><\/div><span class=\"le-target\" data-target=\"24.9\" style=\"--target:24.9%\"><\/span><\/div><span class=\"le-range-value\">1 700 til 1 850<\/span><\/div><div class=\"le-chart-row\"><span class=\"le-model\">Gemini 3.7 Flash<\/span><div aria-hidden=\"true\" class=\"le-track\"><div class=\"le-range\" data-start=\"25.0\" data-width=\"12.5\" style=\"--start:25.0%;--span:12.5%\"><\/div><span class=\"le-target\" data-target=\"24.9\" style=\"--target:24.9%\"><\/span><\/div><span class=\"le-range-value\">1 500 til 1 750<\/span><\/div><div class=\"le-chart-row\"><span class=\"le-model\">Claude Opus<\/span><div aria-hidden=\"true\" class=\"le-track\"><div class=\"le-range\" data-start=\"22.5\" data-width=\"22.5\" style=\"--start:22.5%;--span:22.5%\"><\/div><span class=\"le-target\" data-target=\"24.9\" style=\"--target:24.9%\"><\/span><\/div><span class=\"le-range-value\">1 450 til 1 900<\/span><\/div><\/div><figcaption class=\"le-chart-caption\">Alle IA-er samlet: <strong class=\"le-caption-range\">1 450 til 1 900 kcal<\/strong>, alts\u00e5 <strong class=\"le-caption-gap\">450 kcal forskjell<\/strong> (22 svar). Svart linje: m\u00e5l beregnet komponent for komponent p\u00e5 m\u00e5lte data (1 499 kcal).<\/figcaption>\n<\/figure>\n<figure aria-labelledby=\"le-complet-p4-title\" class=\"le-chart\" data-profile=\"4\" id=\"le-complet-p4\"><h3 class=\"le-profile-title\" id=\"le-complet-p4-title\"><span class=\"le-profile-code\">P4<\/span> \u00b7 <span class=\"le-profile-description\">Kvinne 45 \u00e5r, 70 kg, 165 cm, 35 % kroppsfett, 3 500 skritt, ingen sport<\/span><\/h3><div class=\"le-chart-body\"><div class=\"le-axis\"><span>1000 kcal<\/span><span>3000 kcal<\/span><div aria-hidden=\"true\" class=\"le-axis-marks\"><i><\/i><i><\/i><i><\/i><i><\/i><i><\/i><\/div><\/div><div class=\"le-chart-row\"><span class=\"le-model\">ChatGPT (GPT-5.5)<\/span><div aria-hidden=\"true\" class=\"le-track\"><div class=\"le-range\" data-start=\"10.0\" data-width=\"12.5\" style=\"--start:10.0%;--span:12.5%\"><\/div><span class=\"le-target\" data-target=\"4.1\" style=\"--target:4.1%\"><\/span><\/div><span class=\"le-range-value\">1 200 til 1 450<\/span><\/div><div class=\"le-chart-row\"><span class=\"le-model\">ChatGPT (GPT-5.4 mini)<\/span><div aria-hidden=\"true\" class=\"le-track\"><div class=\"le-range\" data-start=\"12.5\" data-width=\"12.5\" style=\"--start:12.5%;--span:12.5%\"><\/div><span class=\"le-target\" data-target=\"4.1\" style=\"--target:4.1%\"><\/span><\/div><span class=\"le-range-value\">1 250 til 1 500<\/span><\/div><div class=\"le-chart-row\"><span class=\"le-model\">Gemini 3.7 Flash<\/span><div aria-hidden=\"true\" class=\"le-track\"><div class=\"le-range\" data-start=\"15.0\" data-width=\"5.0\" style=\"--start:15.0%;--span:5.0%\"><\/div><span class=\"le-target\" data-target=\"4.1\" style=\"--target:4.1%\"><\/span><\/div><span class=\"le-range-value\">1 300 til 1 400<\/span><\/div><div class=\"le-chart-row\"><span class=\"le-model\">Claude Opus<\/span><div aria-hidden=\"true\" class=\"le-track\"><div class=\"le-range\" data-start=\"10.0\" data-width=\"20.0\" style=\"--start:10.0%;--span:20.0%\"><\/div><span class=\"le-target\" data-target=\"4.1\" style=\"--target:4.1%\"><\/span><\/div><span class=\"le-range-value\">1 200 til 1 600<\/span><\/div><\/div><figcaption class=\"le-chart-caption\">Alle IA-er samlet: <strong class=\"le-caption-range\">1 200 til 1 600 kcal<\/strong>, alts\u00e5 <strong class=\"le-caption-gap\">400 kcal forskjell<\/strong> (22 svar). Svart linje: m\u00e5l beregnet komponent for komponent p\u00e5 m\u00e5lte data (1 082 kcal).<\/figcaption>\n<\/figure>\n<figure aria-labelledby=\"le-complet-p5-title\" class=\"le-chart\" data-profile=\"5\" id=\"le-complet-p5\"><h3 class=\"le-profile-title\" id=\"le-complet-p5-title\"><span class=\"le-profile-code\">P5<\/span> \u00b7 <span class=\"le-profile-description\">Mann 50 \u00e5r, 95 kg, 178 cm, 30 % kroppsfett, 6 000 skritt, 2 g\u00e5turer\/uke<\/span><\/h3><div class=\"le-chart-body\"><div class=\"le-axis\"><span>1000 kcal<\/span><span>3000 kcal<\/span><div aria-hidden=\"true\" class=\"le-axis-marks\"><i><\/i><i><\/i><i><\/i><i><\/i><i><\/i><\/div><\/div><div class=\"le-chart-row\"><span class=\"le-model\">ChatGPT (GPT-5.5)<\/span><div aria-hidden=\"true\" class=\"le-track\"><div class=\"le-range\" data-start=\"42.5\" data-width=\"17.5\" style=\"--start:42.5%;--span:17.5%\"><\/div><span class=\"le-target\" data-target=\"45.9\" style=\"--target:45.9%\"><\/span><\/div><span class=\"le-range-value\">1 850 til 2 200<\/span><\/div><div class=\"le-chart-row\"><span class=\"le-model\">ChatGPT (GPT-5.4 mini)<\/span><div aria-hidden=\"true\" class=\"le-track\"><div class=\"le-range\" data-start=\"45.0\" data-width=\"7.5\" style=\"--start:45.0%;--span:7.5%\"><\/div><span class=\"le-target\" data-target=\"45.9\" style=\"--target:45.9%\"><\/span><\/div><span class=\"le-range-value\">1 900 til 2 050<\/span><\/div><div class=\"le-chart-row\"><span class=\"le-model\">Gemini 3.7 Flash<\/span><div aria-hidden=\"true\" class=\"le-track\"><div class=\"le-range\" data-start=\"42.5\" data-width=\"6.5\" style=\"--start:42.5%;--span:6.5%\"><\/div><span class=\"le-target\" data-target=\"45.9\" style=\"--target:45.9%\"><\/span><\/div><span class=\"le-range-value\">1 850 til 1 980<\/span><\/div><div class=\"le-chart-row\"><span class=\"le-model\">Claude Opus<\/span><div aria-hidden=\"true\" class=\"le-track\"><div class=\"le-range\" data-start=\"30.0\" data-width=\"25.0\" style=\"--start:30.0%;--span:25.0%\"><\/div><span class=\"le-target\" data-target=\"45.9\" style=\"--target:45.9%\"><\/span><\/div><span class=\"le-range-value\">1 600 til 2 100<\/span><\/div><\/div><figcaption class=\"le-chart-caption\">Alle IA-er samlet: <strong class=\"le-caption-range\">1 600 til 2 200 kcal<\/strong>, alts\u00e5 <strong class=\"le-caption-gap\">600 kcal forskjell<\/strong> (22 svar). Svart linje: m\u00e5l beregnet komponent for komponent p\u00e5 m\u00e5lte data (1 918 kcal).<\/figcaption>\n<\/figure>\n<figure aria-labelledby=\"le-complet-p6-title\" class=\"le-chart\" data-profile=\"6\" id=\"le-complet-p6\"><h3 class=\"le-profile-title\" id=\"le-complet-p6-title\"><span class=\"le-profile-code\">P6<\/span> \u00b7 <span class=\"le-profile-description\">Kvinne 24 \u00e5r, 55 kg, 170 cm, 18 % kroppsfett, 14 000 skritt, 5 l\u00f8pe\u00f8kter\/uke<\/span><\/h3><div class=\"le-chart-body\"><div class=\"le-axis\"><span>1000 kcal<\/span><span>3000 kcal<\/span><div aria-hidden=\"true\" class=\"le-axis-marks\"><i><\/i><i><\/i><i><\/i><i><\/i><i><\/i><\/div><\/div><div class=\"le-chart-row\"><span class=\"le-model\">ChatGPT (GPT-5.5)<\/span><div aria-hidden=\"true\" class=\"le-track\"><div class=\"le-range\" data-start=\"45.0\" data-width=\"20.0\" style=\"--start:45.0%;--span:20.0%\"><\/div><span class=\"le-target\" data-target=\"36.8\" style=\"--target:36.8%\"><\/span><\/div><span class=\"le-range-value\">1 900 til 2 300<\/span><\/div><div class=\"le-chart-row\"><span class=\"le-model\">ChatGPT (GPT-5.4 mini)<\/span><div aria-hidden=\"true\" class=\"le-track\"><div class=\"le-range\" data-start=\"42.5\" data-width=\"17.5\" style=\"--start:42.5%;--span:17.5%\"><\/div><span class=\"le-target\" data-target=\"36.8\" style=\"--target:36.8%\"><\/span><\/div><span class=\"le-range-value\">1 850 til 2 200<\/span><\/div><div class=\"le-chart-row\"><span class=\"le-model\">Gemini 3.7 Flash<\/span><div aria-hidden=\"true\" class=\"le-track\"><div class=\"le-range\" data-start=\"65.0\" data-width=\"10.0\" style=\"--start:65.0%;--span:10.0%\"><\/div><span class=\"le-target\" data-target=\"36.8\" style=\"--target:36.8%\"><\/span><\/div><span class=\"le-range-value\">2 300 til 2 500<\/span><\/div><div class=\"le-chart-row\"><span class=\"le-model\">Claude Opus<\/span><div aria-hidden=\"true\" class=\"le-track\"><div class=\"le-range\" data-start=\"45.0\" data-width=\"25.0\" style=\"--start:45.0%;--span:25.0%\"><\/div><span class=\"le-target\" data-target=\"36.8\" style=\"--target:36.8%\"><\/span><\/div><span class=\"le-range-value\">1 900 til 2 400<\/span><\/div><\/div><figcaption class=\"le-chart-caption\">Alle IA-er samlet: <strong class=\"le-caption-range\">1 850 til 2 500 kcal<\/strong>, alts\u00e5 <strong class=\"le-caption-gap\">650 kcal forskjell<\/strong> (19 svar). Svart linje: m\u00e5l beregnet komponent for komponent p\u00e5 m\u00e5lte data (1 735 kcal).<\/figcaption>\n<\/figure>\n<\/div><div class=\"le-behavior\"><h3 class=\"le-behavior-title\">AI-atferd, fullstendig prompt (144 svar)<\/h3><ul class=\"le-behavior-list\"><li data-percent=\"40\" style=\"--percent:40%\"><strong>40 %<\/strong><span>bruker faktisk det oppgitte kroppsfettet<\/span><span aria-hidden=\"true\" class=\"le-behavior-meter\"><i><\/i><\/span><\/li>\n<li data-percent=\"42\" style=\"--percent:42%\"><strong>42 %<\/strong><span>gj\u00f8r de oppgitte skrittene om til kalorier<\/span><span aria-hidden=\"true\" class=\"le-behavior-meter\"><i><\/i><\/span><\/li>\n<li data-percent=\"14\" style=\"--percent:14%\"><strong>14 %<\/strong><span>nevner metabolsk tilpasning<\/span><span aria-hidden=\"true\" class=\"le-behavior-meter\"><i><\/i><\/span><\/li>\n<li data-percent=\"3\" style=\"--percent:3%\"><strong>3 %<\/strong><span>nevner den termiske effekten av mat<\/span><span aria-hidden=\"true\" class=\"le-behavior-meter\"><i><\/i><\/span><\/li>\n<li data-percent=\"97\" style=\"--percent:97%\"><strong>97 %<\/strong><span>gir ett enkelt tall, som \u00f8nsket<\/span><span aria-hidden=\"true\" class=\"le-behavior-meter\"><i><\/i><\/span><\/li>\n<\/ul>\n<\/div><div class=\"le-comparison\" data-comparison=\"\"><h3 class=\"le-comparison-title\">P1 mot P2-testen: samme vekt, ulike kropper<\/h3><ul class=\"le-comparison-stats\"><li><strong>699 <small>kcal<\/small><\/strong><span>av forskjell mellom P1 og P2 if\u00f8lge KI-ene (gjennomsnitt)<\/span><\/li>\n<li><strong>970 <small>kcal<\/small><\/strong><span>av forskjell n\u00e5r man beregner komponent for komponent<\/span><\/li>\n<li><strong>+324 <small>kcal<\/small><\/strong><span>for mye for den stillesittende profilen med 28 % kroppsfett<\/span><\/li>\n<\/ul>\n<\/div><div class=\"le-insight\">KI-ene ser forskjellen mellom de to mennene, men undervurderer den: de justerer en populasjonsformel i stedet for \u00e5 m\u00e5le. Den stillesittende profilen, den som \u00abgj\u00f8r alt riktig\u00bb, f\u00e5r et m\u00e5l som er for h\u00f8yt og g\u00e5r ikke ned i vekt.<\/div><\/section>\n<section aria-labelledby=\"le-suivi-title\" class=\"le-section le-suivi\" id=\"le-suivi\"><div class=\"le-suivi-inner\"><header class=\"le-section-heading\"><span class=\"le-section-label\">04 \u00b7 Det egentlige sp\u00f8rsm\u00e5let<\/span><h2 id=\"le-suivi-title\">Problemet er ikke dag 1, det er <span class=\"le-time-headline\">89 dager som f\u00f8lger<\/span><\/h2><\/header>\n<p class=\"le-time-intro\">78 % av de detaljerte svarene anbefaler \u00e5 \u00abveie seg og justere\u00bb. Ingen gj\u00f8r det for deg.<\/p>\n<div class=\"le-time-stage\"><div aria-hidden=\"true\" class=\"le-time-dial\" data-visual-copy=\"\"><div class=\"le-dial-face\"><span class=\"le-dial-unit\" data-current-unit=\"\">Dag<\/span><span class=\"le-dial-day\" data-current-day=\"\">1<\/span><\/div><span class=\"le-dial-caption\">Tallet er l\u00e5st p\u00e5 dag 1.<\/span><\/div><ul class=\"le-timeline\"><li><strong><span>Dag<\/span> <b>1<\/b><\/strong><span>Chatboten mottar en vekt og svarer \u00e9n gang.<\/span><\/li>\n<li><strong><span>Dag<\/span> <b>2<\/b><\/strong><span>Du gikk 4 000 skritt i stedet for 11 000. Den vet det ikke.<\/span><\/li>\n<li><strong><span>Uke<\/span> <b>3<\/b><\/strong><span>Du gjorde 6 \u00f8kter og endret makroene dine. Den vet det ikke.<\/span><\/li>\n<li><strong><span>Dag<\/span> <b>90<\/b><\/strong><span>Du gikk ned 4 kg, stoffskiftet ditt sank og tilpasset seg deretter. Den vet det fortsatt ikke.<\/span><\/li>\n<\/ul>\n<\/div><div class=\"le-checklists\"><div class=\"le-checklist le-checklist-no\"><h3>Det chatboten ikke vet<\/h3><ul><li><span>\u2715<\/span><span>Dagens skritt<\/span><\/li>\n<li><span>\u2715<\/span><span>Dagens m\u00e5ltider og deres termiske effekt<\/span><\/li>\n<li><span>\u2715<\/span><span>Ditt faktiske kroppsfett, og utviklingen av det<\/span><\/li>\n<li><span>\u2715<\/span><span>Tilpasningen av stoffskiftet ditt gjennom ukene<\/span><\/li>\n<li><span>\u2715<\/span><span>Ingen kurve, ingen graf over forbruket ditt<\/span><\/li>\n<\/ul>\n<\/div><div class=\"le-checklist le-checklist-yes\"><h3>Hva ekte oppf\u00f8lging krever<\/h3><ul><li><span>\u2713<\/span><span>Forbruk beregnet p\u00e5 nytt hver dag ut fra m\u00e5linger<\/span><\/li>\n<li><span>\u2713<\/span><span>M\u00e5l som beveger seg med skritt og \u00f8kter<\/span><\/li>\n<li><span>\u2713<\/span><span>Kroppsfett m\u00e5lt p\u00e5 nytt regelmessig<\/span><\/li>\n<li><span>\u2713<\/span><span>Automatisk korrigering av metabolsk tilpasning<\/span><\/li>\n<li><span>\u2713<\/span><span>En lesbar kurve av TDEE-en din og utviklingen av den<\/span><\/li>\n<\/ul>\n<\/div><\/div><\/div><div class=\"le-verdict\"><strong>Vurdering: fungerer det \u00e5 g\u00e5 ned i vekt med ChatGPT?<\/strong> Av og til, ved en tilfeldighet. Etter metode, nei: uten m\u00e5ling eller daglige oppdateringer forblir svaret et populasjonsestimat som er frosset fast den f\u00f8rste dagen. Testen kan gj\u00f8res p\u00e5 nytt p\u00e5 fem minutter med din egen profil.<\/div><\/section>\n<section aria-labelledby=\"le-app-title\" class=\"le-section le-app\" id=\"le-app\"><header class=\"le-section-heading\"><span class=\"le-section-label\">05 \u00b7 Og Lean?<\/span><h2 id=\"le-app-title\">KI-en som m\u00e5ler mot KI-en som gjetter<\/h2><\/header>\n<p class=\"le-app-intro\">Lean bruker ogs\u00e5 KI, men til \u00e5 m\u00e5le: BodyScan for kroppsfett, fotoskann for tallerkenen, skritteller for skritt. Deretter beregner den p\u00e5 nytt hver dag de fem komponentene i forbruket ditt og tegner kurven.<\/p>\n<div class=\"le-app-panel\"><div class=\"le-feature-list\"><span class=\"le-feature le-feature-0\">BMR p\u00e5 m\u00e5lt fettfri masse<\/span><span class=\"le-feature le-feature-1\">NEAT p\u00e5 faktiske skritt<\/span><span class=\"le-feature le-feature-2\">EAT per \u00f8kt<\/span><span class=\"le-feature le-feature-3\">TEF etter makroer<\/span><span class=\"le-feature le-feature-4\">Metabolsk tilpasning<\/span><\/div><strong>Lean m\u00e5ler, beregner p\u00e5 nytt og f\u00f8lger med, hver dag<\/strong><span>F\u00f8rste app som beregner metabolsk tilpasning. Gratis nedlasting, 7 dagers gratis pr\u00f8veperiode p\u00e5 \u00e5rsabonnementet. 4,7\/5 p\u00e5 App Store, mer enn 10 000 brukere.<\/span><p class=\"le-store-links\"><a href=\"https:\/\/apps.apple.com\/fr\/app\/lean-calorie-ai-podometre\/id6738668646?utm_source=seo&amp;utm_medium=etude&amp;utm_campaign=chatgpt-calories\" rel=\"noopener\"><img loading=\"lazy\" decoding=\"async\" src=\"https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-appstore-official.webp\" alt=\"T\u00e9l\u00e9charger Lean sur l\\'App Store\" width=\"150\" height=\"50\" style=\"height:50px;width:auto;display:block;\"><\/a><a href=\"https:\/\/play.google.com\/store\/apps\/details?id=com.lean.testsqflite&amp;utm_source=seo&amp;utm_medium=etude&amp;utm_campaign=chatgpt-calories\" rel=\"noopener\"><img loading=\"lazy\" decoding=\"async\" src=\"https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-googleplay-official.webp\" alt=\"T\u00e9l\u00e9charger Lean sur Google Play\" width=\"168\" height=\"50\" style=\"height:50px;width:auto;display:block;\"><\/a><\/p>\n<\/div><\/section>\n<section aria-labelledby=\"le-donnees-title\" class=\"le-section le-donnees\" id=\"le-donnees\"><header class=\"le-section-heading\"><span class=\"le-section-label\">Data<\/span><h2 id=\"le-donnees-title\">Dataene, profil for profil<\/h2><\/header>\n<ul class=\"le-data-list\"><li class=\"le-data-record\" id=\"le-data-p1\"><h3 class=\"le-data-heading\"><strong>P1<\/strong> \u00b7 Mann 32 \u00e5r, 78 kg, 180 cm, 12 % kroppsfett, 12 000 skritt, 4 styrke\u00f8kter\/uke<\/h3><div class=\"le-data-values\">Enkel prompt: <strong>1 500 til 2 700 kcal<\/strong> (28 svar) \u00b7 Fullstendig prompt: <strong>2 100 til 2 750 kcal<\/strong> (28 svar) \u00b7 Komponent for komponent-m\u00e5l: <strong>2 360 kcal<\/strong> (BMR 1 853, NEAT 504, EAT 267, TEF 236, TDEE 2 860)<\/div><\/li>\n<li class=\"le-data-record\" id=\"le-data-p2\"><h3 class=\"le-data-heading\"><strong>P2<\/strong> \u00b7 Mann 32 \u00e5r, 78 kg, 180 cm, 28 % kroppsfett, 4 000 skritt, ingen sport<\/h3><div class=\"le-data-values\">Enkel prompt: <strong>1 500 til 2 760 kcal<\/strong> (28 svar) \u00b7 Fullstendig prompt: <strong>1 400 til 2 000 kcal<\/strong> (28 svar) \u00b7 Komponent for komponent-m\u00e5l: <strong>1 390 kcal<\/strong> (BMR 1 583, NEAT 168, EAT 0, TEF 139, TDEE 1 890)<\/div><\/li>\n<li class=\"le-data-record\" id=\"le-data-p3\"><h3 class=\"le-data-heading\"><strong>P3<\/strong> \u00b7 Kvinne 28 \u00e5r, 62 kg, 165 cm, 22 % kroppsfett, 9 000 skritt, 3 trenings\u00f8kter\/uke<\/h3><div class=\"le-data-values\">Enkel prompt: <strong>1 130 til 2 000 kcal<\/strong> (25 svar) \u00b7 Fullstendig prompt: <strong>1 450 til 1 900 kcal<\/strong> (22 svar) \u00b7 Komponent for komponent-m\u00e5l: <strong>1 499 kcal<\/strong> (BMR 1 415, NEAT 275, EAT 159, TEF 150, TDEE 1 999)<\/div><\/li>\n<li class=\"le-data-record\" id=\"le-data-p4\"><h3 class=\"le-data-heading\"><strong>P4<\/strong> \u00b7 Kvinne 45 \u00e5r, 70 kg, 165 cm, 35 % kroppsfett, 3 500 skritt, ingen sport<\/h3><div class=\"le-data-values\">Enkel prompt: <strong>1 100 til 2 000 kcal<\/strong> (22 svar) \u00b7 Fullstendig prompt: <strong>1 200 til 1 600 kcal<\/strong> (22 svar) \u00b7 Komponent for komponent-m\u00e5l: <strong>1 082 kcal<\/strong> (BMR 1 353, NEAT 121, EAT 0, TEF 108, TDEE 1 582)<\/div><\/li>\n<li class=\"le-data-record\" id=\"le-data-p5\"><h3 class=\"le-data-heading\"><strong>P5<\/strong> \u00b7 Mann 50 \u00e5r, 95 kg, 178 cm, 30 % kroppsfett, 6 000 skritt, 2 g\u00e5turer\/uke<\/h3><div class=\"le-data-values\">Enkel prompt: <strong>1 500 til 2 550 kcal<\/strong> (22 svar) \u00b7 Fullstendig prompt: <strong>1 600 til 2 200 kcal<\/strong> (22 svar) \u00b7 Komponent for komponent-m\u00e5l: <strong>1 918 kcal<\/strong> (BMR 1 806, NEAT 303, EAT 117, TEF 192, TDEE 2 418)<\/div><\/li>\n<li class=\"le-data-record\" id=\"le-data-p6\"><h3 class=\"le-data-heading\"><strong>P6<\/strong> \u00b7 Kvinne 24 \u00e5r, 55 kg, 170 cm, 18 % kroppsfett, 14 000 skritt, 5 l\u00f8pe\u00f8kter\/uke<\/h3><div class=\"le-data-values\">Enkel prompt: <strong>1 200 til 2 200 kcal<\/strong> (16 svar) \u00b7 Fullstendig prompt: <strong>1 850 til 2 500 kcal<\/strong> (19 svar) \u00b7 Komponent for komponent-m\u00e5l: <strong>1 735 kcal<\/strong> (BMR 1 344, NEAT 391, EAT 326, TEF 174, TDEE 2 235)<\/div><\/li>\n<\/ul>\n<p class=\"le-data-note\">Variasjon hos den samme IA-en p\u00e5 samme gjentatte prompt (fullstendig prompt, gjennomsnittlig avvik mellom repetisjoner): Claude Opus 73 kcal, Gemini 3.1 Pro 175 kcal, Gemini 3.7 Flash 57 kcal, ChatGPT (GPT-5.4 mini) 98 kcal, ChatGPT (GPT-5.5) 96 kcal.<\/p>\n<p class=\"le-data-note\">Fullt datasett (prompter, 291 r\u00e5 svar, uttrekk, skript): <a href=\"https:\/\/doi.org\/10.5281\/zenodo.22662006\" rel=\"noopener\">Zenodo, DOI 10.5281\/zenodo.22662006<\/a>, CC BY 4.0-lisens.<\/p>\n<details class=\"le-disclosure\"><summary>Detaljert metode og begrensninger<\/summary>\n<p>Modeller forespurt via API med standardparametere og uten systeminstruksjon: GPT-5.5 og GPT-5.4 mini (OpenAI), Gemini 3.7 Flash og Gemini 3.1 Pro (Google). Claude Opus (Anthropic) forespurt via det offisielle kommandolinjegrensesnittet med en n\u00f8ytral systemprompt og uten kontekst. Seks profiler, to promptniv\u00e5er, fransk og engelsk, 2 til 3 repetisjoner per kombinasjon, 291 svar samlet inn 8. september 2026 (Gemini 3.1 Pro: 27 svar, API-hastighet begrenset; andre modeller: 48 til 72).<\/p>\n<p>Lesing av svarene: en automatisk ekstraktor (GPT-5.4 mini, temperatur 0, strengt JSON-skjema) identifiserer anbefalt inntaksm\u00e5l (min og maks n\u00e5r et intervall eller en tabell er gitt) og atferdene (sp\u00f8rsm\u00e5l stilt f\u00f8r svar, aktivitetsgrid, faktisk bruk av oppgitt kroppsfett og skritt, omtale av metabolsk tilpasning og termisk effekt). Uttrekket publiseres med de r\u00e5 svarene, linje for linje.<\/p>\n<p>Begrensninger: fiktive profiler; offentlige referanseformler (Katch-McArdle p\u00e5 fettfri masse, Ainsworth 2011-kompendiet, TEF p\u00e5 10 %) som fungerer som referanse, ikke som sannhet i feltet; modellene utvikler seg og svarene endrer seg fra uke til uke, noe som er en del av funnet. Lean publiserer denne studien og selger en sporingsapp: metode og data er \u00e5pne slik at hvem som helst kan gj\u00f8re den om igjen.<\/p>\n<\/details>\n<details class=\"le-disclosure\"><summary>Vitenskapelige kilder<\/summary>\n<ul><li>Mifflin MD et al. A new predictive equation for resting energy expenditure in healthy individuals. <em>Am J Clin Nutr<\/em>. 1990;51(2):241-7. <a href=\"https:\/\/pubmed.ncbi.nlm.nih.gov\/2305711\/\" rel=\"noopener\">PubMed 2305711<\/a><\/li>\n<li>Ainsworth BE et al. 2011 Compendium of Physical Activities. <em>Med Sci Sports Exerc<\/em>. 2011;43(8):1575-81. <a href=\"https:\/\/pubmed.ncbi.nlm.nih.gov\/21681120\/\" rel=\"noopener\">PubMed 21681120<\/a><\/li>\n<li>Levine JA et al. Interindividual variation in posture allocation. <em>Vitenskap<\/em>. 2005;307(5709):584-6. <a href=\"https:\/\/pubmed.ncbi.nlm.nih.gov\/15681386\/\" rel=\"noopener\">PubMed 15681386<\/a><\/li>\n<li>Trexler ET et al. Metabolic adaptation to weight loss: implications for the athlete. <em>J Int Soc Sports Nutr<\/em>. 2014;11:7. <a href=\"https:\/\/pubmed.ncbi.nlm.nih.gov\/24571926\/\" rel=\"noopener\">PubMed 24571926<\/a><\/li>\n<li>Westerterp KR. Diet induced thermogenesis. <em>Nutr Metab<\/em>. 2004;1:5. <a href=\"https:\/\/pubmed.ncbi.nlm.nih.gov\/15507147\/\" rel=\"noopener\">PubMed 15507147<\/a><\/li>\n<\/ul>\n<\/details>\n<p class=\"le-data-note\">Studie publisert av Lean-teamet. Pressekontakt: franckbarriere@lean-app.com. Ikke medisinsk r\u00e5d.<\/p>\n<\/section>\n<section aria-labelledby=\"le-faq-title\" class=\"le-section le-faq\" id=\"le-faq\"><header class=\"le-section-heading\"><h2 id=\"le-faq-title\">Ofte stilte sp\u00f8rsm\u00e5l<\/h2><\/header>\n<details class=\"le-disclosure\"><summary>Kan ChatGPT beregne hvor mange kalorier jeg b\u00f8r spise?<\/summary>\n<p>Den gir et tall, men ikke en m\u00e5ling. Av 291 svar ba ingen KI om kroppsfett (\u00e9n eneste ba om skrittantallet), og 97 % av svarene p\u00e5 den enkle prompten bygger p\u00e5 et deklarativt aktivitetsniv\u00e5 (stillesittende, moderat, aktiv). Resultatet er et statistisk gjennomsnitt som ignorerer kroppssammensetningen din og den faktiske aktiviteten din, med opptil 1 260 kcal forskjell for samme person.<\/p>\n<\/details>\n<details class=\"le-disclosure\"><summary>Hvorfor gir KI-er s\u00e5 forskjellige tall for samme profil?<\/summary>\n<p>Fordi de ikke har noen m\u00e5ling. De bruker en populasjonsformel (oftest Mifflin-St Jeor 1990) og deretter en aktivitetsmultiplikator valgt p\u00e5 skj\u00f8nn. To menn p\u00e5 78 kg, den ene med 12 % kroppsfett og 12 000 skritt, den andre med 28 % og 4 000 skritt, f\u00e5r samme svar p\u00e5 den enkle prompten, selv om det reelle forbruket deres skiller seg med n\u00e6r 1 000 kcal.<\/p>\n<\/details>\n<details class=\"le-disclosure\"><summary>Hjelper det \u00e5 gi ChatGPT flere detaljer?<\/summary>\n<p>Bare delvis. Med kroppsfett, skritt og \u00f8kter i prompten er forskjellen mellom KI-er fortsatt 650 kcal for samme profil, kroppsfett brukes faktisk i beregningen bare i 40 % av svarene og skritt i 42 %. Og viktigst av alt: svaret er fastl\u00e5st. Den vet ikke hvor mye du har g\u00e5tt eller spist i dag, eller hvordan metabolismen din tilpasser seg over ukene.<\/p>\n<\/details>\n<details class=\"le-disclosure\"><summary>Hva er metabolsk tilpasning, og hvorfor endrer det svaret?<\/summary>\n<p>Ved langvarig underskudd faller basalmetabolismen utover det vekttapet forklarer. Et tall som er riktig i dag, blir for h\u00f8yt etter noen uker. Bare 14 % av de detaljerte svarene nevnte det, og ingen beregner det. Det er den vanligste \u00e5rsaken til plat\u00e5er.<\/p>\n<\/details>\n<details class=\"le-disclosure\"><summary>Hvordan beregner du kaloriene dine riktig for \u00e5 g\u00e5 ned i vekt?<\/summary>\n<p>Ved \u00e5 bygge opp forbruket komponent for komponent, TDEE = BMR + NEAT + EAT + TEF, med basalmetabolismen beregnet ut fra faktisk fettfri masse, NEAT ut fra m\u00e5lte skritt, EAT ut fra \u00f8kter som faktisk er gjort, TEF ut fra makroene som er inntatt, og deretter f\u00f8lge utviklingen dag for dag og korrigere n\u00e5r kroppen tilpasser seg. Det er oppf\u00f8lging, ikke et svar i \u00e9n setning.<\/p>\n<\/details>\n<details class=\"le-disclosure\"><summary>Er KI ubrukelig for ern\u00e6ring?<\/summary>\n<p>Nei. KI er verdifull n\u00e5r den m\u00e5ler: ansl\u00e5 kroppsfett fra et bilde, gjenkjenne en rett, lese en strekkode. Den er svak n\u00e5r den gjetter ut fra tre tall. Forskjellen er mellom en KI koblet til kontinuerlig oppdaterte m\u00e5linger og en chatbot som svarer en fremmed fra hukommelsen.<\/p>\n<\/details>\n<details class=\"le-disclosure\"><summary>Kan jeg gjenskape studien?<\/summary>\n<p>Ja. De 12 promptene, de tidsstemplete r\u00e5svarene, den strukturerte utvinningen og skriptene er publisert som \u00e5pne data (lenke nederst p\u00e5 siden). Hvert kall er en ny samtale, uten systeminstruksjon, med standardparametrene.<\/p>\n<\/details>\n<\/section>\n<section aria-labelledby=\"le-suite-title\" class=\"le-section le-suite\" id=\"le-suite\"><header class=\"le-section-heading\"><h2 id=\"le-suite-title\">Les ogs\u00e5<\/h2><\/header>\n<ul class=\"le-related\"><li><a href=\"https:\/\/lean-app.com\/no\/calculateur-tdee\/\">TDEE-kalkulator: den kanoniske formelen BMR + NEAT + EAT + TEF <span>Fettprosentbevisst kalkulator med oppdeling av de 4 metabolske byggesteinene.<\/span><\/a><\/li>\n<li><a href=\"https:\/\/lean-app.com\/no\/calculer-vraie-depense-calorique\/\">Slik beregner du det reelle kaloriforbruket ditt: den komplette guiden <span>BMR p\u00e5 reell fettprosent, NEAT per skritt, EAT per \u00f8kt, TEF per makroer, tilpasning.<\/span><\/a><\/li>\n<li><a href=\"https:\/\/lean-app.com\/no\/calculateur-adaptation-metabolique\/\">Kalkulator for metabolsk tilpasning: har stoffskiftet ditt bremset? <span>Koeffisient 100 til 0 %, tilpasset BMR i kcal\/dag, og n\u00e5r du b\u00f8r ta en diet break.<\/span><\/a><\/li>\n<li><a href=\"https:\/\/lean-app.com\/no\/10000-pas-calories\/\">10 000 skritt om dagen: hvor mange kalorier det faktisk forbrenner <span>Mellom 300 og 550 kcal etter vekt. Tabell per profil, offentlig formel, kalkulator.<\/span><\/a><\/li>\n<li><a href=\"https:\/\/lean-app.com\/no\/etude-base-donnees-calories\/\">Studie: 857 655 produkter analysert, 1 skanning av 3 up\u00e5litelig <span>Kvaliteten p\u00e5 kaloridatabasene, m\u00e5lt.<\/span><\/a><\/li>\n<\/ul>\n<\/section>\n<script type=\"application\/ld+json\">{\"@context\": \"https:\/\/schema.org\", \"@type\": \"FAQPage\", \"mainEntity\": [{\"@type\": \"Question\", \"name\": \"ChatGPT peut-il calculer combien de calories je dois manger ?\", \"acceptedAnswer\": {\"@type\": \"Answer\", \"text\": \"Il donne un chiffre, mais pas une mesure. Sur 291 r\u00e9ponses, aucune IA n'a demand\u00e9 la masse grasse (une seule a demand\u00e9 le nombre de pas), et 97 % des r\u00e9ponses au prompt simple reposent sur une grille d'activit\u00e9 d\u00e9clarative (s\u00e9dentaire, mod\u00e9r\u00e9, actif). Le r\u00e9sultat est une moyenne statistique qui ignore ta composition corporelle et ton activit\u00e9 r\u00e9elle, avec jusqu'\u00e0 1 260 kcal d'\u00e9cart pour la m\u00eame personne.\"}}, {\"@type\": \"Question\", \"name\": \"Pourquoi les IA donnent-elles des chiffres si diff\u00e9rents pour le m\u00eame profil ?\", \"acceptedAnswer\": {\"@type\": \"Answer\", \"text\": \"Parce qu'elles n'ont pas de mesure. Elles appliquent une formule de population (Mifflin-St Jeor 1990 le plus souvent) puis un multiplicateur d'activit\u00e9 choisi au jug\u00e9. Deux hommes de 78 kg, l'un \u00e0 12 % de masse grasse et 12 000 pas, l'autre \u00e0 28 % et 4 000 pas, re\u00e7oivent la m\u00eame r\u00e9ponse au prompt simple, alors que leur d\u00e9pense r\u00e9elle diff\u00e8re de pr\u00e8s de 1 000 kcal.\"}}, {\"@type\": \"Question\", \"name\": \"Est-ce que donner plus de d\u00e9tails \u00e0 ChatGPT corrige le probl\u00e8me ?\", \"acceptedAnswer\": {\"@type\": \"Answer\", \"text\": \"En partie seulement. Avec la masse grasse, les pas et les s\u00e9ances dans le prompt, l'\u00e9cart entre IA reste de 650 kcal sur un m\u00eame profil, la masse grasse n'est r\u00e9ellement utilis\u00e9e dans le calcul que dans 40 % des r\u00e9ponses et les pas dans 42 %. Et surtout, la r\u00e9ponse est fig\u00e9e : elle ne sait pas ce que tu as march\u00e9 ni mang\u00e9 aujourd'hui, ni comment ton m\u00e9tabolisme s'adapte au fil des semaines.\"}}, {\"@type\": \"Question\", \"name\": \"Qu'est-ce que l'adaptation m\u00e9tabolique et pourquoi \u00e7a change la r\u00e9ponse ?\", \"acceptedAnswer\": {\"@type\": \"Answer\", \"text\": \"En d\u00e9ficit prolong\u00e9, le m\u00e9tabolisme de base baisse au-del\u00e0 de ce que la perte de poids explique. Un chiffre juste aujourd'hui devient trop haut au bout de quelques semaines. Seules 14 % des r\u00e9ponses d\u00e9taill\u00e9es l'ont mentionn\u00e9, et aucune ne la calcule. C'est la cause la plus fr\u00e9quente des plateaux.\"}}, {\"@type\": \"Question\", \"name\": \"Comment calculer correctement ses calories pour maigrir ?\", \"acceptedAnswer\": {\"@type\": \"Answer\", \"text\": \"En reconstruisant la d\u00e9pense brique par brique, TDEE = BMR + NEAT + EAT + TEF, avec le m\u00e9tabolisme de base calcul\u00e9 sur la masse maigre r\u00e9elle, la NEAT sur les pas mesur\u00e9s, l'EAT sur les s\u00e9ances r\u00e9ellement faites, le TEF sur les macros ing\u00e9r\u00e9s, puis en suivant l'\u00e9volution jour apr\u00e8s jour et en corrigeant quand le corps s'adapte. C'est un suivi, pas une r\u00e9ponse en une phrase.\"}}, {\"@type\": \"Question\", \"name\": \"L'IA est-elle inutile pour la nutrition ?\", \"acceptedAnswer\": {\"@type\": \"Answer\", \"text\": \"Non. L'IA est pr\u00e9cieuse quand elle mesure : estimer une masse grasse sur une photo, reconna\u00eetre un plat, lire un code-barres. Elle est faible quand elle devine \u00e0 partir de trois chiffres. La diff\u00e9rence est entre une IA branch\u00e9e sur des mesures mises \u00e0 jour en continu et un chatbot qui r\u00e9pond de m\u00e9moire \u00e0 un inconnu.\"}}, {\"@type\": \"Question\", \"name\": \"Puis-je reproduire l'\u00e9tude ?\", \"acceptedAnswer\": {\"@type\": \"Answer\", \"text\": \"Oui. Les 12 prompts, les r\u00e9ponses brutes horodat\u00e9es, l'extraction structur\u00e9e et les scripts sont publi\u00e9s en donn\u00e9es ouvertes (lien en bas de page). Chaque appel est une conversation neuve, sans instruction syst\u00e8me, avec les param\u00e8tres par d\u00e9faut.\"}}]}<\/script><script type=\"application\/ld+json\">{\"@context\": \"https:\/\/schema.org\", \"@type\": \"Dataset\", \"name\": \"Asking consumer AI assistants how many calories to eat to lose weight: 5 models, 6 profiles, 291 answers\", \"description\": \"On a demand\u00e9 291 fois \u00e0 ChatGPT, Gemini et Claude combien manger pour maigrir, pour 6 profils identiques. Aucune IA ne demande la masse grasse ni les pas, 97 % r\u00e9pondent par une grille d'activit\u00e9, et le m\u00eame profil re\u00e7oit jusqu'\u00e0 1260 kcal d'\u00e9cart. M\u00e9thode, donn\u00e9es brutes et ce qu'il faudrait faire \u00e0 la place.\", \"url\": \"https:\/\/lean-app.com\/perdre-du-poids-avec-chatgpt\/\", \"identifier\": \"https:\/\/doi.org\/10.5281\/zenodo.22662006\", \"license\": \"https:\/\/creativecommons.org\/licenses\/by\/4.0\/\", \"creator\": {\"@type\": \"Organization\", \"name\": \"Lean\", \"url\": \"https:\/\/lean-app.com\/\"}, \"datePublished\": \"2026-09-08\", \"keywords\": [\"ChatGPT\", \"Gemini\", \"Claude\", \"calories\", \"TDEE\", \"weight loss\", \"metabolic adaptation\"], \"variableMeasured\": [\"recommended daily calorie intake (kcal)\", \"asks for body fat\", \"uses activity factor\", \"mentions metabolic adaptation\", \"mentions thermic effect of food\"], \"distribution\": {\"@type\": \"DataDownload\", \"encodingFormat\": \"application\/zip\", \"contentUrl\": \"https:\/\/zenodo.org\/records\/22662006\"}}<\/script><\/article>\n<script data-wpmeteor-nooptimize=\"true\">\n(function () {\n  'use strict';\n  var root = document.getElementById('lean-etude');\n  if (!root || root.dataset.enhanced) return;\n  root.dataset.enhanced = 'true';\n  var reduce = window.matchMedia('(prefers-reduced-motion: reduce)');\n  var animate = function (element, frames, options) {\n    if (!(reduce.matches || !element.animate)) element.animate(frames, options);\n  };\n  root.querySelectorAll('[data-controls]').forEach(function (controls) {\n    var group = root.querySelector('[data-charts=\"' + controls.dataset.controls + '\"]');\n    if (!group) return;\n    var figures = Array.from(group.querySelectorAll('.le-chart'));\n    var buttons = Array.from(controls.querySelectorAll('[data-profile]'));\n    var allButton = controls.querySelector('[data-all]');\n    var select = function (profile, motion) {\n      figures.forEach(function (figure) {\n        var active = !profile || figure.dataset.profile === profile;\n        figure.hidden = !active;\n        if (!(!active || !motion)) {\n          animate(figure, [{ opacity: .65, transform: 'translateY(5px)' }, { opacity: 1, transform: 'translateY(0)' }], { duration: 240, easing: 'cubic-bezier(.22,1,.36,1)' });\n          figure.querySelectorAll('.le-range').forEach(function (bar) {\n            animate(bar, [{ transform: 'scaleX(.92)' }, { transform: 'scaleX(1)' }], { duration: 420, easing: 'cubic-bezier(.22,1,.36,1)' });\n          });\n        }\n      });\n      buttons.forEach(function (button) { button.setAttribute('aria-pressed', String(button.dataset.profile === profile)); });\n      allButton.setAttribute('aria-pressed', String(!profile));\n    };\n    buttons.forEach(function (button, index) {\n      button.addEventListener('click', function () { select(button.dataset.profile, true); });\n      button.addEventListener('keydown', function (event) {\n        var next = index;\n        if (event.key === 'ArrowRight') next = (index + 1) % buttons.length;\n        else if (event.key === 'ArrowLeft') next = (index + buttons.length - 1) % buttons.length;\n        else if (event.key === 'Home') next = 0;\n        else if (event.key === 'End') next = buttons.length - 1;\n        else return;\n        event.preventDefault();\n        buttons[next].focus();\n        select(buttons[next].dataset.profile, true);\n      });\n    });\n    allButton.addEventListener('click', function () { select(null, false); });\n    select('1', false);\n    controls.hidden = false;\n  });\n  var progress = root.querySelector('.le-progress i');\n  var links = Array.from(root.querySelectorAll('.le-nav a'));\n  var targets = links.map(function (link) { return root.querySelector(link.getAttribute('href')); });\n  var scheduled = false;\n  var update = function () {\n    scheduled = false;\n    var rect = root.getBoundingClientRect();\n    var available = rect.height - window.innerHeight;\n    var fraction = available > 0 ? Math.max(0, Math.min(1, -rect.top \/ available)) : 0;\n    progress.style.transform = 'scaleX(' + fraction + ')';\n    var active = -1;\n    targets.forEach(function (section, index) {\n      if (!(!section || section.getBoundingClientRect().top > 150)) active = index;\n    });\n    links.forEach(function (link, index) {\n      if (index === active) link.setAttribute('aria-current', 'location');\n      else link.removeAttribute('aria-current');\n    });\n  };\n  var requestUpdate = function () {\n    if (!scheduled) { scheduled = true; window.requestAnimationFrame(update); }\n  };\n  window.addEventListener('scroll', requestUpdate, { passive: true });\n  window.addEventListener('resize', requestUpdate, { passive: true });\n  root.addEventListener('toggle', requestUpdate, true);\n  if ('ResizeObserver' in window) new ResizeObserver(requestUpdate).observe(root);\n  update();\n  var openedForPrint = [];\n  window.addEventListener('beforeprint', function () {\n    openedForPrint = Array.from(root.querySelectorAll('details:not([open])'));\n    openedForPrint.forEach(function (detail) { detail.open = true; });\n  });\n  window.addEventListener('afterprint', function () {\n    openedForPrint.forEach(function (detail) { detail.open = false; });\n    openedForPrint = [];\n  });\n})();\n\n(function () {\n  'use strict';\n  var root = document.getElementById('lean-etude');\n  if (!root || root.__leanUpdateScenes) return;\n\n  var hero = root.querySelector('.le-hero-scene');\n  var stage = root.querySelector('.le-time-stage');\n  var steps = stage ? Array.from(stage.querySelectorAll('.le-timeline li')) : [];\n  var day = stage ? stage.querySelector('[data-current-day]') : null;\n  var unit = stage ? stage.querySelector('[data-current-unit]') : null;\n  if (!(hero || steps.length)) return;\n\n  var reduced = window.matchMedia('(prefers-reduced-motion: reduce)');\n  var fine = window.matchMedia('(hover: hover) and (pointer: fine)');\n  var heroVisible = !!hero, stageVisible = !!stage;\n  var x = 0, y = 0, targetX = 0, targetY = 0;\n  var frame = 0, previousTime = 0, currentStep = -1;\n  var clamp = function (n, min, max) { return Math.max(min, Math.min(max, n)); };\n  var inView = function (rect) { return !(rect.bottom <= 0 || rect.top >= window.innerHeight); };\n\n  function resetHero() {\n    x = y = targetX = targetY = previousTime = 0;\n    if (!hero) return;\n    hero.style.setProperty('--pointer-x', '0');\n    hero.style.setProperty('--pointer-y', '0');\n    if (reduced.matches) hero.style.setProperty('--scene-scroll', '0');\n  }\n\n  function selectStep(index) {\n    if (index === currentStep || !steps[index]) return;\n    currentStep = index;\n    steps.forEach(function (step, i) { step.classList.toggle('is-current', i === index); });\n    stage.style.setProperty('--time-progress', String(steps.length > 1 ? index \/ (steps.length - 1) : 0));\n    var label = steps[index].querySelector('strong b') || steps[index].querySelector('strong');\n    var unitLabel = steps[index].querySelector('strong > span');\n    if (!(!day || !label)) day.textContent = label.textContent.trim();\n    if (!(!unit || !unitLabel)) unit.textContent = unitLabel.textContent.trim();\n  }\n\n  function update(time) {\n    frame = 0;\n    var continuePointer = false;\n    if (!(!hero || !heroVisible || reduced.matches)) {\n      var bounds = hero.getBoundingClientRect();\n      if (inView(bounds)) {\n        hero.style.setProperty('--scene-scroll', String(clamp(-bounds.top \/ Math.max(bounds.height, 1), 0, 1)));\n        var amount = previousTime ? 1 - Math.exp(-Math.min(time - previousTime, 50) \/ 85) : 0.2;\n        x += (targetX - x) * amount;\n        y += (targetY - y) * amount;\n        if (Math.abs(targetX - x) < 0.001) x = targetX;\n        if (Math.abs(targetY - y) < 0.001) y = targetY;\n        hero.style.setProperty('--pointer-x', x.toFixed(4));\n        hero.style.setProperty('--pointer-y', y.toFixed(4));\n        continuePointer = x !== targetX || y !== targetY;\n      } else resetHero();\n    }\n    if (!(!stage || !stageVisible || !steps.length)) {\n      var nearest = 0, distance = Infinity, midpoint = window.innerHeight * 0.5;\n      steps.forEach(function (step, index) {\n        var bounds = step.getBoundingClientRect();\n        var candidate = Math.abs(bounds.top + bounds.height * 0.5 - midpoint);\n        if (candidate < distance) { distance = candidate; nearest = index; }\n      });\n      selectStep(nearest);\n    }\n    previousTime = continuePointer ? time : 0;\n    if (continuePointer) requestUpdate();\n  }\n\n  function requestUpdate() {\n    if (!(frame || document.hidden)) frame = window.requestAnimationFrame(update);\n  }\n\n  if (hero) {\n    resetHero();\n    hero.addEventListener('pointermove', function (event) {\n      if (reduced.matches || !fine.matches || !heroVisible || event.pointerType === 'touch') return;\n      var bounds = hero.getBoundingClientRect();\n      targetX = clamp(((event.clientX - bounds.left) \/ Math.max(bounds.width, 1)) * 2 - 1, -1, 1);\n      targetY = clamp(((event.clientY - bounds.top) \/ Math.max(bounds.height, 1)) * 2 - 1, -1, 1);\n      requestUpdate();\n    }, { passive: true });\n    hero.addEventListener('pointerleave', function () {\n      targetX = targetY = 0;\n      requestUpdate();\n    }, { passive: true });\n  }\n  if (day) day.setAttribute('aria-hidden', 'true');\n  if (unit) unit.setAttribute('aria-hidden', 'true');\n  if (steps.length) selectStep(0);\n\n  if ('IntersectionObserver' in window) {\n    var observer = new IntersectionObserver(function (entries) {\n      entries.forEach(function (entry) {\n        if (entry.target === hero) {\n          heroVisible = entry.isIntersecting;\n          if (!heroVisible) resetHero();\n        }\n        if (entry.target === stage) stageVisible = entry.isIntersecting;\n      });\n      if (heroVisible || stageVisible) requestUpdate();\n    });\n    if (hero) observer.observe(hero);\n    if (stage) observer.observe(stage);\n  }\n\n  function mediaChanged() {\n    resetHero();\n    requestUpdate();\n  }\n  [reduced, fine].forEach(function (media) {\n    if (media.addEventListener) media.addEventListener('change', mediaChanged);\n    else if (media.addListener) media.addListener(mediaChanged);\n  });\n  window.addEventListener('scroll', function () {\n    if (!(!heroVisible || reduced.matches) || stageVisible) requestUpdate();\n  }, { passive: true });\n  window.addEventListener('resize', requestUpdate, { passive: true });\n  document.addEventListener('visibilitychange', function () {\n    if (document.hidden) {\n      if (frame) window.cancelAnimationFrame(frame);\n      frame = 0;\n      resetHero();\n    } else requestUpdate();\n  });\n  root.addEventListener('toggle', requestUpdate, true);\n  root.__leanUpdateScenes = requestUpdate;\n  requestUpdate();\n})();\n\n<\/script>","protected":false},"excerpt":{"rendered":"<p>On a demand\u00e9 291 fois \u00e0 ChatGPT, Gemini et Claude combien manger pour maigrir, pour 6 profils identiques. Aucune IA ne demande la masse grasse ni les pas, 97 % r\u00e9pondent par une grille d&rsquo;activit\u00e9, et le m\u00eame profil re\u00e7oit jusqu&rsquo;\u00e0 1260 kcal d&rsquo;\u00e9cart. M\u00e9thode, donn\u00e9es brutes et ce qu&rsquo;il faudrait faire \u00e0 la place.<\/p>","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"single-lvm-blank","format":"standard","meta":{"footnotes":""},"categories":[1],"tags":[],"class_list":["post-2163","post","type-post","status-publish","format-standard","hentry","category-uncategorized"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v25.6 - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>Perdre du poids avec ChatGPT, \u00e7a marche ? \u00c9tude : 291 r\u00e9ponses, jusqu&#039;\u00e0 1 260 kcal d&#039;\u00e9cart - Lean<\/title>\n<meta name=\"description\" content=\"On a demand\u00e9 291 fois \u00e0 ChatGPT, Gemini et Claude combien manger pour maigrir, pour 6 profils identiques. Aucune IA ne demande la masse grasse ni les pas, 97 % r\u00e9pondent par une grille d&#039;activit\u00e9, et le m\u00eame profil re\u00e7oit jusqu&#039;\u00e0 1260 kcal d&#039;\u00e9cart. M\u00e9thode, donn\u00e9es brutes et ce qu&#039;il faudrait faire \u00e0 la place.\" \/>\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\/perdre-du-poids-avec-chatgpt\/\" \/>\n<meta property=\"og:locale\" content=\"nb_NO\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Perdre du poids avec ChatGPT, \u00e7a marche ? \u00c9tude : 291 r\u00e9ponses, jusqu&#039;\u00e0 1 260 kcal d&#039;\u00e9cart - Lean\" \/>\n<meta property=\"og:description\" content=\"On a demand\u00e9 291 fois \u00e0 ChatGPT, Gemini et Claude combien manger pour maigrir, pour 6 profils identiques. Aucune IA ne demande la masse grasse ni les pas, 97 % r\u00e9pondent par une grille d&#039;activit\u00e9, et le m\u00eame profil re\u00e7oit jusqu&#039;\u00e0 1260 kcal d&#039;\u00e9cart. M\u00e9thode, donn\u00e9es brutes et ce qu&#039;il faudrait faire \u00e0 la place.\" \/>\n<meta property=\"og:url\" content=\"https:\/\/lean-app.com\/no\/perdre-du-poids-avec-chatgpt\/\" \/>\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=\"2026-09-08T15:45:35+00:00\" \/>\n<meta property=\"article:modified_time\" content=\"2026-09-08T17:55:59+00:00\" \/>\n<meta property=\"og:image\" content=\"https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-logo-lean-square-scaled.webp\" \/>\n<meta name=\"author\" content=\"L&#039;\u00e9quipe Lean\" \/>\n<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\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=\"14 minutes\" \/>\n<script type=\"application\/ld+json\" class=\"yoast-schema-graph\">{\"@context\":\"https:\/\/schema.org\",\"@graph\":[{\"@type\":\"Article\",\"@id\":\"https:\/\/lean-app.com\/perdre-du-poids-avec-chatgpt\/#article\",\"isPartOf\":{\"@id\":\"https:\/\/lean-app.com\/perdre-du-poids-avec-chatgpt\/\"},\"author\":{\"@id\":\"https:\/\/lean-app.com\/#organization\"},\"headline\":\"Perdre du poids avec ChatGPT, \u00e7a marche ? \u00c9tude : 291 r\u00e9ponses, jusqu&rsquo;\u00e0 1 260 kcal d&rsquo;\u00e9cart\",\"datePublished\":\"2026-09-08T15:45:35+00:00\",\"dateModified\":\"2026-09-08T17:55:59+00:00\",\"mainEntityOfPage\":{\"@id\":\"https:\/\/lean-app.com\/perdre-du-poids-avec-chatgpt\/\"},\"wordCount\":2850,\"commentCount\":0,\"publisher\":{\"@id\":\"https:\/\/lean-app.com\/#organization\"},\"image\":{\"@id\":\"https:\/\/lean-app.com\/perdre-du-poids-avec-chatgpt\/#primaryimage\"},\"thumbnailUrl\":\"https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-logo-lean-square-scaled.webp\",\"inLanguage\":\"nb-NO\",\"potentialAction\":[{\"@type\":\"CommentAction\",\"name\":\"Comment\",\"target\":[\"https:\/\/lean-app.com\/perdre-du-poids-avec-chatgpt\/#respond\"]}]},{\"@type\":\"WebPage\",\"@id\":\"https:\/\/lean-app.com\/perdre-du-poids-avec-chatgpt\/\",\"url\":\"https:\/\/lean-app.com\/perdre-du-poids-avec-chatgpt\/\",\"name\":\"Perdre du poids avec ChatGPT, \u00e7a marche ? \u00c9tude : 291 r\u00e9ponses, jusqu'\u00e0 1 260 kcal d'\u00e9cart - Lean\",\"isPartOf\":{\"@id\":\"https:\/\/lean-app.com\/#website\"},\"primaryImageOfPage\":{\"@id\":\"https:\/\/lean-app.com\/perdre-du-poids-avec-chatgpt\/#primaryimage\"},\"image\":{\"@id\":\"https:\/\/lean-app.com\/perdre-du-poids-avec-chatgpt\/#primaryimage\"},\"thumbnailUrl\":\"https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-logo-lean-square-scaled.webp\",\"datePublished\":\"2026-09-08T15:45:35+00:00\",\"dateModified\":\"2026-09-08T17:55:59+00:00\",\"description\":\"On a demand\u00e9 291 fois \u00e0 ChatGPT, Gemini et Claude combien manger pour maigrir, pour 6 profils identiques. Aucune IA ne demande la masse grasse ni les pas, 97 % r\u00e9pondent par une grille d'activit\u00e9, et le m\u00eame profil re\u00e7oit jusqu'\u00e0 1260 kcal d'\u00e9cart. M\u00e9thode, donn\u00e9es brutes et ce qu'il faudrait faire \u00e0 la place.\",\"breadcrumb\":{\"@id\":\"https:\/\/lean-app.com\/perdre-du-poids-avec-chatgpt\/#breadcrumb\"},\"inLanguage\":\"nb-NO\",\"potentialAction\":[{\"@type\":\"ReadAction\",\"target\":[\"https:\/\/lean-app.com\/perdre-du-poids-avec-chatgpt\/\"]}]},{\"@type\":\"ImageObject\",\"inLanguage\":\"nb-NO\",\"@id\":\"https:\/\/lean-app.com\/perdre-du-poids-avec-chatgpt\/#primaryimage\",\"url\":\"https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-logo-lean-square-scaled.webp\",\"contentUrl\":\"https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-logo-lean-square-scaled.webp\"},{\"@type\":\"BreadcrumbList\",\"@id\":\"https:\/\/lean-app.com\/perdre-du-poids-avec-chatgpt\/#breadcrumb\",\"itemListElement\":[{\"@type\":\"ListItem\",\"position\":1,\"name\":\"Home\",\"item\":\"https:\/\/lean-app.com\/\"},{\"@type\":\"ListItem\",\"position\":2,\"name\":\"Perdre du poids avec ChatGPT, \u00e7a marche ? \u00c9tude : 291 r\u00e9ponses, jusqu&rsquo;\u00e0 1 260 kcal d&rsquo;\u00e9cart\"}]},{\"@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":"Perdre du poids avec ChatGPT, \u00e7a marche ? \u00c9tude : 291 r\u00e9ponses, jusqu'\u00e0 1 260 kcal d'\u00e9cart - Lean","description":"On a demand\u00e9 291 fois \u00e0 ChatGPT, Gemini et Claude combien manger pour maigrir, pour 6 profils identiques. Aucune IA ne demande la masse grasse ni les pas, 97 % r\u00e9pondent par une grille d'activit\u00e9, et le m\u00eame profil re\u00e7oit jusqu'\u00e0 1260 kcal d'\u00e9cart. M\u00e9thode, donn\u00e9es brutes et ce qu'il faudrait faire \u00e0 la place.","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\/perdre-du-poids-avec-chatgpt\/","og_locale":"nb_NO","og_type":"article","og_title":"Perdre du poids avec ChatGPT, \u00e7a marche ? \u00c9tude : 291 r\u00e9ponses, jusqu'\u00e0 1 260 kcal d'\u00e9cart - Lean","og_description":"On a demand\u00e9 291 fois \u00e0 ChatGPT, Gemini et Claude combien manger pour maigrir, pour 6 profils identiques. Aucune IA ne demande la masse grasse ni les pas, 97 % r\u00e9pondent par une grille d'activit\u00e9, et le m\u00eame profil re\u00e7oit jusqu'\u00e0 1260 kcal d'\u00e9cart. M\u00e9thode, donn\u00e9es brutes et ce qu'il faudrait faire \u00e0 la place.","og_url":"https:\/\/lean-app.com\/no\/perdre-du-poids-avec-chatgpt\/","og_site_name":"Lean","article_publisher":"https:\/\/www.facebook.com\/share\/1GXD3qyMBy\/?mibextid=wwXIfr","article_published_time":"2026-09-08T15:45:35+00:00","article_modified_time":"2026-09-08T17:55:59+00:00","og_image":[{"url":"https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-logo-lean-square-scaled.webp","type":"","width":"","height":""}],"author":"L'\u00e9quipe Lean","twitter_card":"summary_large_image","twitter_misc":{"Written by":"L'\u00e9quipe Lean","Est. reading time":"14 minutes"},"schema":{"@context":"https:\/\/schema.org","@graph":[{"@type":"Article","@id":"https:\/\/lean-app.com\/perdre-du-poids-avec-chatgpt\/#article","isPartOf":{"@id":"https:\/\/lean-app.com\/perdre-du-poids-avec-chatgpt\/"},"author":{"@id":"https:\/\/lean-app.com\/#organization"},"headline":"Perdre du poids avec ChatGPT, \u00e7a marche ? \u00c9tude : 291 r\u00e9ponses, jusqu&rsquo;\u00e0 1 260 kcal d&rsquo;\u00e9cart","datePublished":"2026-09-08T15:45:35+00:00","dateModified":"2026-09-08T17:55:59+00:00","mainEntityOfPage":{"@id":"https:\/\/lean-app.com\/perdre-du-poids-avec-chatgpt\/"},"wordCount":2850,"commentCount":0,"publisher":{"@id":"https:\/\/lean-app.com\/#organization"},"image":{"@id":"https:\/\/lean-app.com\/perdre-du-poids-avec-chatgpt\/#primaryimage"},"thumbnailUrl":"https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-logo-lean-square-scaled.webp","inLanguage":"nb-NO","potentialAction":[{"@type":"CommentAction","name":"Comment","target":["https:\/\/lean-app.com\/perdre-du-poids-avec-chatgpt\/#respond"]}]},{"@type":"WebPage","@id":"https:\/\/lean-app.com\/perdre-du-poids-avec-chatgpt\/","url":"https:\/\/lean-app.com\/perdre-du-poids-avec-chatgpt\/","name":"Perdre du poids avec ChatGPT, \u00e7a marche ? \u00c9tude : 291 r\u00e9ponses, jusqu'\u00e0 1 260 kcal d'\u00e9cart - Lean","isPartOf":{"@id":"https:\/\/lean-app.com\/#website"},"primaryImageOfPage":{"@id":"https:\/\/lean-app.com\/perdre-du-poids-avec-chatgpt\/#primaryimage"},"image":{"@id":"https:\/\/lean-app.com\/perdre-du-poids-avec-chatgpt\/#primaryimage"},"thumbnailUrl":"https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-logo-lean-square-scaled.webp","datePublished":"2026-09-08T15:45:35+00:00","dateModified":"2026-09-08T17:55:59+00:00","description":"On a demand\u00e9 291 fois \u00e0 ChatGPT, Gemini et Claude combien manger pour maigrir, pour 6 profils identiques. Aucune IA ne demande la masse grasse ni les pas, 97 % r\u00e9pondent par une grille d'activit\u00e9, et le m\u00eame profil re\u00e7oit jusqu'\u00e0 1260 kcal d'\u00e9cart. M\u00e9thode, donn\u00e9es brutes et ce qu'il faudrait faire \u00e0 la place.","breadcrumb":{"@id":"https:\/\/lean-app.com\/perdre-du-poids-avec-chatgpt\/#breadcrumb"},"inLanguage":"nb-NO","potentialAction":[{"@type":"ReadAction","target":["https:\/\/lean-app.com\/perdre-du-poids-avec-chatgpt\/"]}]},{"@type":"ImageObject","inLanguage":"nb-NO","@id":"https:\/\/lean-app.com\/perdre-du-poids-avec-chatgpt\/#primaryimage","url":"https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-logo-lean-square-scaled.webp","contentUrl":"https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-logo-lean-square-scaled.webp"},{"@type":"BreadcrumbList","@id":"https:\/\/lean-app.com\/perdre-du-poids-avec-chatgpt\/#breadcrumb","itemListElement":[{"@type":"ListItem","position":1,"name":"Home","item":"https:\/\/lean-app.com\/"},{"@type":"ListItem","position":2,"name":"Perdre du poids avec ChatGPT, \u00e7a marche ? \u00c9tude : 291 r\u00e9ponses, jusqu&rsquo;\u00e0 1 260 kcal d&rsquo;\u00e9cart"}]},{"@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\/2163","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=2163"}],"version-history":[{"count":0,"href":"https:\/\/lean-app.com\/no\/wp-json\/wp\/v2\/posts\/2163\/revisions"}],"wp:attachment":[{"href":"https:\/\/lean-app.com\/no\/wp-json\/wp\/v2\/media?parent=2163"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/lean-app.com\/no\/wp-json\/wp\/v2\/categories?post=2163"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/lean-app.com\/no\/wp-json\/wp\/v2\/tags?post=2163"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}