{"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\/nl\/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\/nl\/\" aria-label=\"Lean startpagina\"><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\/nl\/tdee-calculator\/\">TDEE-calculator<\/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=\"Download in de 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=\"Beschikbaar op 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; 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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; 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}\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 Afvallen met l&rsquo;AI<\/p>\n<h1 id=\"le-title\"><span class=\"le-title-line\">Afvallen<\/span> <span class=\"le-title-line\">met ChatGPT,<\/span> <span class=\"le-title-accent\">werkt het?<\/span> <span class=\"le-title-follow\">We stelden de vraag 291 keer aan 5 AI's<\/span><\/h1><p class=\"le-deck\">Dezelfde persoon, dezelfde vraag, tot 1.260 kcal verschil. Hier is wat de AI&rsquo;s antwoorden, en wat ze niet kunnen doen.<\/p>\n<div class=\"le-hero-actions\" data-visual-copy=\"\"><a class=\"le-explore\" href=\"#le-resume\">Ontdek de studie<\/a><span class=\"le-scroll-cue\">\u2193<\/span><\/div><p class=\"le-byline\">Onafhankelijke studie van Het Lean-team, de app die je verbruik elke dag herberekent op basis van je metingen \u00b7 9 september 2026 \u00b7 Open 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 Eenvoudige 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 tot 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 tot 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 tot 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 tot 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 tot 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>verschil voor hetzelfde profiel, eenvoudige prompt<\/span><\/li>\n<li class=\"le-hero-stat le-mini-stat\"><strong>0 %<\/strong><span>vragen naar lichaamsvet<\/span><\/li>\n<li class=\"le-hero-stat le-mini-stat\"><strong>97 %<\/strong><span>antwoorden met een &ldquo;sedentair \/ actief&rdquo;-tabel<\/span><\/li>\n<li class=\"le-hero-stat le-mini-stat\"><strong>14 %<\/strong><span>vermelden metabole adaptatie<\/span><\/li>\n<\/ul>\n<\/section>\n<nav aria-label=\"In deze studie\" class=\"le-nav\"><a href=\"#le-resume\">Samenvatting<\/a><a href=\"#le-simple\">Resultaten<\/a><a href=\"#le-suivi\">De echte kwestie<\/a><a href=\"#le-donnees\">Gegevens<\/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\">Samenvatting<\/span><h2 id=\"le-resume-title\">De studie in 30 seconden<\/h2><\/header>\n<ul class=\"le-summary-list\"><li><span class=\"le-summary-num\">1<\/span><span class=\"le-summary-text\"><strong>291 antwoorden<\/strong> van ChatGPT, Gemini en Claude op de vraag &ldquo;hoeveel calorie\u00ebn om af te vallen?&rdquo;, voor 6 identieke profielen.<\/span><\/li>\n<li><span class=\"le-summary-num\">2<\/span><span class=\"le-summary-text\">Eenvoudige prompt (leeftijd, gewicht, lengte): dezelfde persoon krijgt <strong>van 1.500 tot 2.700 kcal<\/strong> afhankelijk van de AI en het moment.<\/span><\/li>\n<li><span class=\"le-summary-num\">3<\/span><span class=\"le-summary-text\"><strong>0 %<\/strong> van de antwoorden vragen naar lichaamsvet. <strong>97 %<\/strong> geven een raster \u00ab sedentaire \/ matig \/ actief \u00bb, de formule van 1990.<\/span><\/li>\n<li><span class=\"le-summary-num\">4<\/span><span class=\"le-summary-text\">Volledige prompt (lichaamsvet, stappen, sessies): nog steeds <strong>650 kcal<\/strong> verschil, en lichaamsvet wordt alleen gebruikt in <strong>40 %<\/strong> de berekeningen.<\/span><\/li>\n<li><span class=\"le-summary-num\">5<\/span><span class=\"le-summary-text\">Geen enkele AI volgt de volgende dag op: stappen van de dag, maaltijden, thermisch effect, metabole adaptatie (<strong>14 %<\/strong> vermelden ze). Het cijfer ligt vast op dag 1.<\/span><\/li>\n<\/ul>\n<div class=\"le-summary-verdict\"><strong>Oordeel.<\/strong> Het kan toevallig werken, niet volgens methode: zonder meting of dagelijkse updates is het antwoord een bevolkingsgemiddelde dat op de eerste dag vastligt.<\/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 Methode<\/span><h2 id=\"le-methode-title\">Wat we hebben gedaan<\/h2><\/header>\n<ul class=\"le-method-stats\"><li><strong>6<\/strong><span>identieke profielen, van de sportieve vrouw tot de sedentaire man<\/span><\/li>\n<li><strong>2<\/strong><span>promptniveaus: eenvoudig, daarna volledig<\/span><\/li>\n<li><strong>5<\/strong><span>consumenten-AI's, elke keer een nieuwe conversatie<\/span><\/li>\n<li><strong>291<\/strong><span>tijdgestempelde antwoorden, gepubliceerd als open data<\/span><\/li>\n<\/ul>\n<p class=\"le-method-note\">ChatGPT (GPT-5.5 en GPT-5.4 mini), Gemini (3.7 Flash en 3.1 Pro), Claude Opus. Frans en Engels, 2 tot 3 herhalingen, zonder enige instructie. De zwarte lijn van de grafieken: het doel berekend component voor component op basis van gemeten gegevens (BMR op vetvrije massa, stappen, sessies, TEF, tekort van 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 Resultaat 1<\/span><h2 id=\"le-simple-title\">Eenvoudige prompt: van 1.500 tot 2.700 kcal voor dezelfde persoon<\/h2><\/header>\n<p class=\"le-result-intro\">&ldquo;Ik ben een man van 32 jaar, 78 kg, 180 cm, ik wil afvallen, hoeveel calorie\u00ebn per dag?&rdquo; De vraag zoals miljoenen mensen die stellen.<\/p>\n<div class=\"le-chart-controls\" data-controls=\"simple\" hidden=\"\"><div aria-label=\"Profielen, eenvoudige 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\">Alles weergeven<\/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\">Man 32 jaar, 78 kg, 180 cm, 12 % vetpercentage, 12.000 stappen, 4 krachttrainingen\/wk<\/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 tot 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 tot 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 tot 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 tot 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 tot 2.600<\/span><\/div><\/div><figcaption class=\"le-chart-caption\">Alle AI&rsquo;s samen: <strong class=\"le-caption-range\">1.500 tot 2.700 kcal<\/strong>, oftewel <strong class=\"le-caption-gap\">1.200 kcal verschil<\/strong> (28 antwoorden). Zwarte lijn: doel berekend component voor component op basis van gemeten gegevens (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\">Man 32 jaar, 78 kg, 180 cm, 28 % vetpercentage, 4.000 stappen, geen 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 tot 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 tot 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 tot 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 tot 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 tot 2.500<\/span><\/div><\/div><figcaption class=\"le-chart-caption\">Alle AI&rsquo;s samen: <strong class=\"le-caption-range\">1.500 tot 2.760 kcal<\/strong>, oftewel <strong class=\"le-caption-gap\">1.260 kcal verschil<\/strong> (28 antwoorden). Zwarte lijn: doel berekend component voor component op basis van gemeten gegevens (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\">Vrouw 28 jaar, 62 kg, 165 cm, 22 % vetpercentage, 9.000 stappen, 3 fitnesssessies\/wk<\/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 tot 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 tot 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 tot 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 tot 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 tot 1.900<\/span><\/div><\/div><figcaption class=\"le-chart-caption\">Alle AI&rsquo;s samen: <strong class=\"le-caption-range\">1.130 tot 2.000 kcal<\/strong>, oftewel <strong class=\"le-caption-gap\">870 kcal verschil<\/strong> (25 antwoorden). Zwarte lijn: doel berekend component voor component op gemeten gegevens (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\">Vrouw 45 jaar, 70 kg, 165 cm, 35 % vetpercentage, 3.500 stappen, geen 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 tot 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 tot 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 tot 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 tot 1.800<\/span><\/div><\/div><figcaption class=\"le-chart-caption\">Alle AI&rsquo;s samen: <strong class=\"le-caption-range\">1.100 tot 2.000 kcal<\/strong>, oftewel <strong class=\"le-caption-gap\">900 kcal verschil<\/strong> (22 antwoorden). Zwarte lijn: doel berekend component voor component op gemeten gegevens (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\">Man 50 jaar, 95 kg, 178 cm, 30 % vetpercentage, 6.000 stappen, 2 wandelingen\/wk<\/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 tot 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 tot 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 tot 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 tot 2.300<\/span><\/div><\/div><figcaption class=\"le-chart-caption\">Alle AI&rsquo;s samen: <strong class=\"le-caption-range\">1.500 tot 2.550 kcal<\/strong>, oftewel <strong class=\"le-caption-gap\">1.050 kcal verschil<\/strong> (22 antwoorden). Zwarte lijn: doel berekend component voor component op gemeten gegevens (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\">Vrouw 24 jaar, 55 kg, 170 cm, 18 % vetpercentage, 14.000 stappen, 5 runs\/wk<\/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 tot 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 tot 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 tot 2.200<\/span><\/div><\/div><figcaption class=\"le-chart-caption\">Alle AI&rsquo;s samen: <strong class=\"le-caption-range\">1.200 tot 2.200 kcal<\/strong>, oftewel <strong class=\"le-caption-gap\">1.000 kcal verschil<\/strong> (16 antwoorden). Zwarte lijn: doel berekend component voor component op gemeten gegevens (1.735 kcal).<\/figcaption>\n<\/figure>\n<\/div><div class=\"le-behavior\"><h3 class=\"le-behavior-title\">AI-gedrag, eenvoudige prompt (147 antwoorden)<\/h3><ul class=\"le-behavior-list\"><li data-percent=\"0\" style=\"--percent:0%\"><strong>0 %<\/strong><span>vragen naar het percentage lichaamsvet<\/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>vragen naar het aantal dagelijkse stappen<\/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>gebruiken een declaratieve activiteitsmatrix<\/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>citeren Mifflin-St Jeor of 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>vermelden het thermische effect van voeding<\/span><span aria-hidden=\"true\" class=\"le-behavior-meter\"><i><\/i><\/span><\/li>\n<\/ul>\n<\/div><div class=\"le-insight\">P1 en P2 hebben <strong>exact dezelfde vraag gesteld<\/strong> (zelfde leeftijd, gewicht, lengte) en kregen hetzelfde raster. Hun werkelijke verbruik verschilt echter met bijna 1.000 kcal per dag: 12% lichaamsvet en 12.000 stappen aan de ene kant, 28% en 4.000 stappen aan de andere.<\/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 Resultaat 2<\/span><h2 id=\"le-complet-title\">Volledige prompt: nog steeds 650 kcal verschil<\/h2><\/header>\n<p class=\"le-result-intro\">We geven alles: lichaamsvet, stappen per dag, sessies, en &ldquo;geef me een precies cijfer&rdquo;. Ze gehoorzamen allemaal. Een precies cijfer is geen juist cijfer.<\/p>\n<div class=\"le-chart-controls\" data-controls=\"complet\" hidden=\"\"><div aria-label=\"Profielen, volledige 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\">Alles weergeven<\/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\">Man 32 jaar, 78 kg, 180 cm, 12 % vetpercentage, 12.000 stappen, 4 krachttrainingen\/wk<\/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 tot 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 tot 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 tot 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 tot 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 tot 2.450<\/span><\/div><\/div><figcaption class=\"le-chart-caption\">Alle AI&rsquo;s samen: <strong class=\"le-caption-range\">2.100 tot 2.750 kcal<\/strong>, oftewel <strong class=\"le-caption-gap\">650 kcal verschil<\/strong> (28 antwoorden). Zwarte lijn: doel berekend component voor component op basis van gemeten gegevens (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\">Man 32 jaar, 78 kg, 180 cm, 28 % vetpercentage, 4.000 stappen, geen 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 tot 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 tot 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 tot 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 tot 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 tot 1.950<\/span><\/div><\/div><figcaption class=\"le-chart-caption\">Alle AI&rsquo;s samen: <strong class=\"le-caption-range\">1.400 tot 2.000 kcal<\/strong>, oftewel <strong class=\"le-caption-gap\">600 kcal verschil<\/strong> (28 antwoorden). Zwarte lijn: doel berekend component voor component op basis van gemeten gegevens (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\">Vrouw 28 jaar, 62 kg, 165 cm, 22 % vetpercentage, 9.000 stappen, 3 fitnesssessies\/wk<\/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 tot 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 tot 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 tot 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 tot 1.900<\/span><\/div><\/div><figcaption class=\"le-chart-caption\">Alle AI&rsquo;s samen: <strong class=\"le-caption-range\">1.450 tot 1.900 kcal<\/strong>, oftewel <strong class=\"le-caption-gap\">450 kcal verschil<\/strong> (22 antwoorden). Zwarte lijn: doel component voor component berekend op basis van de gemeten gegevens (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\">Vrouw 45 jaar, 70 kg, 165 cm, 35 % vetpercentage, 3.500 stappen, geen 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 tot 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 tot 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 tot 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 tot 1.600<\/span><\/div><\/div><figcaption class=\"le-chart-caption\">Alle AI&rsquo;s samen: <strong class=\"le-caption-range\">1.200 tot 1.600 kcal<\/strong>, oftewel <strong class=\"le-caption-gap\">400 kcal verschil<\/strong> (22 antwoorden). Zwarte lijn: doel berekend component voor component op gemeten gegevens (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\">Man 50 jaar, 95 kg, 178 cm, 30 % vetpercentage, 6.000 stappen, 2 wandelingen\/wk<\/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 tot 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 tot 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 tot 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 tot 2.100<\/span><\/div><\/div><figcaption class=\"le-chart-caption\">Alle AI&rsquo;s samen: <strong class=\"le-caption-range\">1.600 tot 2.200 kcal<\/strong>, oftewel <strong class=\"le-caption-gap\">600 kcal verschil<\/strong> (22 antwoorden). Zwarte lijn: doel berekend component voor component op gemeten gegevens (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\">Vrouw 24 jaar, 55 kg, 170 cm, 18 % vetpercentage, 14.000 stappen, 5 runs\/wk<\/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 tot 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 tot 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 tot 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 tot 2.400<\/span><\/div><\/div><figcaption class=\"le-chart-caption\">Alle AI&rsquo;s samen: <strong class=\"le-caption-range\">1.850 tot 2.500 kcal<\/strong>, oftewel <strong class=\"le-caption-gap\">650 kcal verschil<\/strong> (19 antwoorden). Zwarte lijn: doel berekend component voor component op gemeten gegevens (1.735 kcal).<\/figcaption>\n<\/figure>\n<\/div><div class=\"le-behavior\"><h3 class=\"le-behavior-title\">AI-gedrag, volledige prompt (144 antwoorden)<\/h3><ul class=\"le-behavior-list\"><li data-percent=\"40\" style=\"--percent:40%\"><strong>40 %<\/strong><span>gebruiken daadwerkelijk het opgegeven lichaamsvet<\/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>zetten de gegeven stappen om in calorie\u00ebn<\/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>vermelden metabole adaptatie<\/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>vermelden het thermische effect van voeding<\/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>geven een enkel getal, zoals gevraagd<\/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\">De P1 versus P2-test: hetzelfde gewicht, verschillende lichamen<\/h3><ul class=\"le-comparison-stats\"><li><strong>699 <small>kcal<\/small><\/strong><span>van verschil tussen P1 en P2 volgens de AI's (gemiddelde)<\/span><\/li>\n<li><strong>970 <small>kcal<\/small><\/strong><span>van verschil wanneer je component voor component berekent<\/span><\/li>\n<li><strong>+324 <small>kcal<\/small><\/strong><span>te veel voor het sedentaire profiel bij 28% lichaamsvet<\/span><\/li>\n<\/ul>\n<\/div><div class=\"le-insight\">De AI's zien het verschil tussen de twee mannen, maar onderschatten het: ze passen een populatieformule aan in plaats van te meten. Het sedentaire profiel, degene die &ldquo;alles goed doet&rdquo;, krijgt een doel dat te hoog is en verliest niets.<\/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 Het echte onderwerp<\/span><h2 id=\"le-suivi-title\">Het probleem is niet dag 1, het zijn de <span class=\"le-time-headline\">89 dagen die volgen<\/span><\/h2><\/header>\n<p class=\"le-time-intro\">78% van de gedetailleerde antwoorden raadt aan om &ldquo;jezelf te wegen en aan te passen&rdquo;. Geen enkele doet het voor jou.<\/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\">Het cijfer staat vast op dag 1.<\/span><\/div><ul class=\"le-timeline\"><li><strong><span>Dag<\/span> <b>1<\/b><\/strong><span>De chatbot ontvangt een gewicht en antwoordt \u00e9\u00e9n keer.<\/span><\/li>\n<li><strong><span>Dag<\/span> <b>2<\/b><\/strong><span>Je hebt 4.000 stappen gezet in plaats van 11.000. Hij weet het niet.<\/span><\/li>\n<li><strong><span>Week<\/span> <b>3<\/b><\/strong><span>Je hebt 6 sessies gedaan en je macro's aangepast. Hij weet het niet.<\/span><\/li>\n<li><strong><span>Dag<\/span> <b>90<\/b><\/strong><span>Je bent 4 kg afgevallen, je metabolisme is gedaald en daarna aangepast. Hij weet het nog steeds niet.<\/span><\/li>\n<\/ul>\n<\/div><div class=\"le-checklists\"><div class=\"le-checklist le-checklist-no\"><h3>Wat de chatbot niet weet<\/h3><ul><li><span>\u2715<\/span><span>Je stappen van de dag<\/span><\/li>\n<li><span>\u2715<\/span><span>Je maaltijden van de dag en hun thermisch effect<\/span><\/li>\n<li><span>\u2715<\/span><span>Je werkelijke lichaamsvet, en de evolutie ervan<\/span><\/li>\n<li><span>\u2715<\/span><span>De aanpassing van je metabolisme in de loop van de weken<\/span><\/li>\n<li><span>\u2715<\/span><span>Geen curve, geen grafiek van je verbruik<\/span><\/li>\n<\/ul>\n<\/div><div class=\"le-checklist le-checklist-yes\"><h3>Wat echte opvolging vereist<\/h3><ul><li><span>\u2713<\/span><span>Verbruik elke dag herberekend op basis van metingen<\/span><\/li>\n<li><span>\u2713<\/span><span>Doel dat meebeweegt met de stappen en sessies<\/span><\/li>\n<li><span>\u2713<\/span><span>Lichaamsvet regelmatig opnieuw gemeten<\/span><\/li>\n<li><span>\u2713<\/span><span>Automatische correctie van metabole adaptatie<\/span><\/li>\n<li><span>\u2713<\/span><span>Een leesbare curve van je TDEE en de evolutie ervan<\/span><\/li>\n<\/ul>\n<\/div><\/div><\/div><div class=\"le-verdict\"><strong>Conclusie: afvallen met ChatGPT, werkt dat?<\/strong> Soms, bij toeval. Volgens methode, nee: zonder meting of dagelijkse updates blijft het antwoord een populatieschatting die op de eerste dag vaststaat. De test kan in vijf minuten opnieuw worden gedaan met je eigen profiel.<\/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 En Lean?<\/span><h2 id=\"le-app-title\">De AI die meet tegenover de AI die gokt<\/h2><\/header>\n<p class=\"le-app-intro\">Lean gebruikt ook AI, maar om te meten: BodyScan voor lichaamsvet, fotoscan voor het bord, stappenteller voor de stappen. Daarna herberekent het elke dag de vijf componenten van je verbruik en tekent het de curve.<\/p>\n<div class=\"le-app-panel\"><div class=\"le-feature-list\"><span class=\"le-feature le-feature-0\">BMR op gemeten vetvrije massa<\/span><span class=\"le-feature le-feature-1\">NEAT op echte stappen<\/span><span class=\"le-feature le-feature-2\">EAT per sessie<\/span><span class=\"le-feature le-feature-3\">TEF volgens de macro\u2019s<\/span><span class=\"le-feature le-feature-4\">Metabole adaptatie<\/span><\/div><strong>Lean meet, herberekent en volgt, elke dag<\/strong><span>Eerste app om metabole adaptatie te berekenen. Gratis download, 7 dagen gratis proefperiode op het jaarabonnement. 4,7\/5 in de App Store, meer dan 10.000 gebruikers.<\/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\">Gegevens<\/span><h2 id=\"le-donnees-title\">De gegevens, profiel per profiel<\/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 Man 32 jaar, 78 kg, 180 cm, 12 % vetpercentage, 12.000 stappen, 4 krachttrainingen\/wk<\/h3><div class=\"le-data-values\">Eenvoudige prompt: <strong>1.500 tot 2.700 kcal<\/strong> (28 antwoorden) \u00b7 Volledige prompt: <strong>2.100 tot 2.750 kcal<\/strong> (28 antwoorden) \u00b7 Component voor component target: <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 Man 32 jaar, 78 kg, 180 cm, 28 % vetpercentage, 4.000 stappen, geen sport<\/h3><div class=\"le-data-values\">Eenvoudige prompt: <strong>1.500 tot 2.760 kcal<\/strong> (28 antwoorden) \u00b7 Volledige prompt: <strong>1.400 tot 2.000 kcal<\/strong> (28 antwoorden) \u00b7 Component voor component target: <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 Vrouw 28 jaar, 62 kg, 165 cm, 22 % vetpercentage, 9.000 stappen, 3 fitnesssessies\/wk<\/h3><div class=\"le-data-values\">Eenvoudige prompt: <strong>1.130 tot 2.000 kcal<\/strong> (25 antwoorden) \u00b7 Volledige prompt: <strong>1.450 tot 1.900 kcal<\/strong> (22 antwoorden) \u00b7 Component voor component target: <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 Vrouw 45 jaar, 70 kg, 165 cm, 35 % vetpercentage, 3.500 stappen, geen sport<\/h3><div class=\"le-data-values\">Eenvoudige prompt: <strong>1.100 tot 2.000 kcal<\/strong> (22 antwoorden) \u00b7 Volledige prompt: <strong>1.200 tot 1.600 kcal<\/strong> (22 antwoorden) \u00b7 Component voor component target: <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 Man 50 jaar, 95 kg, 178 cm, 30 % vetpercentage, 6.000 stappen, 2 wandelingen\/wk<\/h3><div class=\"le-data-values\">Eenvoudige prompt: <strong>1.500 tot 2.550 kcal<\/strong> (22 antwoorden) \u00b7 Volledige prompt: <strong>1.600 tot 2.200 kcal<\/strong> (22 antwoorden) \u00b7 Component voor component target: <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 Vrouw 24 jaar, 55 kg, 170 cm, 18 % vetpercentage, 14.000 stappen, 5 runs\/wk<\/h3><div class=\"le-data-values\">Eenvoudige prompt: <strong>1.200 tot 2.200 kcal<\/strong> (16 antwoorden) \u00b7 Volledige prompt: <strong>1.850 tot 2.500 kcal<\/strong> (19 antwoorden) \u00b7 Component voor component-doel: <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\">Variabiliteit van dezelfde AI op dezelfde herhaalde prompt (volledige prompt, gemiddelde afwijking tussen herhalingen): 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\">Volledige dataset (prompts, 291 ruwe antwoorden, extractie, scripts): <a href=\"https:\/\/doi.org\/10.5281\/zenodo.22662006\" rel=\"noopener\">Zenodo, DOI 10.5281\/zenodo.22662006<\/a>, CC BY 4.0-licentie.<\/p>\n<details class=\"le-disclosure\"><summary>Gedetailleerde methode en beperkingen<\/summary>\n<p>Modellen via API bevraagd met de standaardparameters en zonder systeeminstructie: GPT-5.5 en GPT-5.4 mini (OpenAI), Gemini 3.7 Flash en Gemini 3.1 Pro (Google). Claude Opus (Anthropic) bevraagd via de offici\u00eble command-line interface met een neutrale systeemprompt en zonder enige context. Zes profielen, twee promptniveaus, Frans en Engels, 2 tot 3 herhalingen per combinatie, 291 antwoorden verzameld op 8 september 2026 (Gemini 3.1 Pro: 27 antwoorden, API-doorvoer beperkt; andere modellen: 48 tot 72).<\/p>\n<p>Lezen van de antwoorden: een automatische extractor (GPT-5.4 mini, temperatuur 0, strikt JSON-schema) identificeert het aanbevolen inname-doel (min en max wanneer een bereik of een raster wordt gegeven) en de gedragingen (vraag gesteld v\u00f3\u00f3r het antwoorden, activiteitsraster, daadwerkelijk gebruik van het opgegeven lichaamsvet en de verstrekte stappen, vermelding van metabole adaptatie en van het thermisch effect). De extractie wordt gepubliceerd met de ruwe antwoorden, regel per regel.<\/p>\n<p>Beperkingen: fictieve profielen; openbare referentieformules (Katch-McArdle op vetvrije massa, Ainsworth 2011-compendium, TEF op 10 %) die als referentie dienen, niet als waarheid in het veld; modellen evolueren en antwoorden veranderen van week tot week, wat deel uitmaakt van de vaststelling. Lean publiceert deze studie en verkoopt een tracking-app: methode en gegevens zijn open zodat iedereen ze opnieuw kan uitvoeren.<\/p>\n<\/details>\n<details class=\"le-disclosure\"><summary>Wetenschappelijke bronnen<\/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>Wetenschap<\/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 gepubliceerd door Het Lean-team. Perscontact: franckbarriere@lean-app.com. Geen medisch advies.<\/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\">Veelgestelde vragen<\/h2><\/header>\n<details class=\"le-disclosure\"><summary>Kan ChatGPT berekenen hoeveel calorie\u00ebn ik moet eten?<\/summary>\n<p>Het geeft een getal, maar geen meting. Op 291 antwoorden vroeg geen enkele AI naar lichaamsvet (slechts \u00e9\u00e9n vroeg naar het aantal stappen), en 97 % van de antwoorden op de eenvoudige prompt steunt op een declaratief activiteitenschema (sedentair, matig, actief). Het resultaat is een statistisch gemiddelde dat je lichaamssamenstelling en je werkelijke activiteit negeert, met tot 1.260 kcal verschil voor dezelfde persoon.<\/p>\n<\/details>\n<details class=\"le-disclosure\"><summary>Waarom geven AI&rsquo;s zulke verschillende cijfers voor hetzelfde profiel?<\/summary>\n<p>Omdat ze geen meting hebben. Ze passen een populatieformule toe (meestal Mifflin-St Jeor 1990) en daarna een activiteitsmultiplier die op gevoel wordt gekozen. Twee mannen van 78 kg, de ene met 12 % lichaamsvet en 12.000 stappen, de andere met 28 % en 4.000 stappen, krijgen hetzelfde antwoord op de eenvoudige prompt, terwijl hun werkelijke verbruik bijna 1.000 kcal verschilt.<\/p>\n<\/details>\n<details class=\"le-disclosure\"><summary>Lost meer details geven aan ChatGPT het probleem op?<\/summary>\n<p>Slechts gedeeltelijk. Met lichaamsvet, stappen en sessies in de prompt blijft het verschil tussen AI&rsquo;s 650 kcal voor hetzelfde profiel, lichaamsvet wordt in slechts 40 % van de antwoorden echt gebruikt in de berekening en stappen in 42 %. En vooral, het antwoord staat vast: het weet niet hoeveel je vandaag hebt gewandeld of gegeten, noch hoe je metabolisme zich in de loop van de weken aanpast.<\/p>\n<\/details>\n<details class=\"le-disclosure\"><summary>Wat is metabole adaptatie en waarom verandert het antwoord?<\/summary>\n<p>Bij een langdurig tekort daalt het basaal metabolisme verder dan wat het gewichtsverlies verklaart. Een cijfer dat vandaag juist is, wordt na een paar weken te hoog. Slechts 14 % van de gedetailleerde antwoorden vermeldde het, en geen enkele berekent het. Het is de meest voorkomende oorzaak van plateaus.<\/p>\n<\/details>\n<details class=\"le-disclosure\"><summary>Hoe bereken je je calorie\u00ebn correct om af te vallen?<\/summary>\n<p>Door het verbruik component voor component op te bouwen, TDEE = BMR + NEAT + EAT + TEF, met het basaal metabolisme berekend op de werkelijke vetvrije massa, de NEAT op de gemeten stappen, de EAT op de sessies die echt zijn gedaan, de TEF op de geconsumeerde macro&rsquo;s, en vervolgens de evolutie dag na dag te volgen en bij te sturen wanneer het lichaam zich aanpast. Het is een opvolging, geen antwoord in \u00e9\u00e9n zin.<\/p>\n<\/details>\n<details class=\"le-disclosure\"><summary>Is AI nutteloos voor voeding?<\/summary>\n<p>Nee. AI is waardevol wanneer ze meet: lichaamsvet schatten op basis van een foto, een gerecht herkennen, een barcode lezen. Ze is zwak wanneer ze raadt op basis van drie cijfers. Het verschil is tussen een AI die gekoppeld is aan continu bijgewerkte metingen en een chatbot die uit het geheugen antwoordt op een onbekende.<\/p>\n<\/details>\n<details class=\"le-disclosure\"><summary>Kan ik de studie reproduceren?<\/summary>\n<p>Ja. De 12 prompts, de getimede ruwe antwoorden, de gestructureerde extractie en de scripts worden gepubliceerd als open data (link onderaan de pagina). Elke oproep is een nieuwe conversatie, zonder systeeminstructie, met de standaardinstellingen.<\/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\">Lees ook<\/h2><\/header>\n<ul class=\"le-related\"><li><a href=\"https:\/\/lean-app.com\/nl\/calculateur-tdee\/\">TDEE-calculator: de canonieke formule BMR + NEAT + EAT + TEF <span>Calculator die rekening houdt met vetpercentage, met uitsplitsing van de 4 metabole bouwstenen.<\/span><\/a><\/li>\n<li><a href=\"https:\/\/lean-app.com\/nl\/calculer-vraie-depense-calorique\/\">Hoe je je echte calorieverbruik berekent: de complete gids <span>BMR op echt vetpercentage, NEAT per stappen, EAT per training, TEF per macro&rsquo;s, adaptatie.<\/span><\/a><\/li>\n<li><a href=\"https:\/\/lean-app.com\/nl\/calculateur-adaptation-metabolique\/\">Calculator metabole adaptatie: is je metabolisme vertraagd? <span>Co\u00ebffici\u00ebnt 100 tot 0 %, aangepaste BMR in kcal\/dag, en wanneer je een diet break neemt.<\/span><\/a><\/li>\n<li><a href=\"https:\/\/lean-app.com\/nl\/10000-pas-calories\/\">10.000 stappen per dag: hoeveel calorie\u00ebn dat echt verbrandt <span>Tussen 300 en 550 kcal naar gewicht. Tabel per profiel, openbare formule, calculator.<\/span><\/a><\/li>\n<li><a href=\"https:\/\/lean-app.com\/nl\/etude-base-donnees-calories\/\">Studie: 857.655 geanalyseerde producten, 1 scan op 3 onbetrouwbaar <span>De kwaliteit van caloriegegevensbanken, gemeten.<\/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. 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