{"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\/fi\/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\/fi\/\" aria-label=\"Lean-etusivu\"><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\/fi\/tdee-calculator\/\">TDEE-laskuri<\/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=\"Lataa App Storesta\"><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=\"Saatavilla Google Playsta\"><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; 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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; 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; 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}\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\">Tutkimus \u00b7 Painonpudotus teko\u00e4lyn avulla<\/p>\n<h1 id=\"le-title\"><span class=\"le-title-line\">Painonpudotus<\/span> <span class=\"le-title-line\">ChatGPT:n kanssa,<\/span> <span class=\"le-title-accent\">toimiiko se?<\/span> <span class=\"le-title-follow\">Kysyimme 5 teko\u00e4lylt\u00e4 291 kertaa<\/span><\/h1><p class=\"le-deck\">Sama henkil\u00f6, sama kysymys, jopa 1 260 kcal:n ero. T\u00e4ss\u00e4 on, mit\u00e4 teko\u00e4lyt vastaavat, ja mit\u00e4 ne eiv\u00e4t voi tehd\u00e4.<\/p>\n<div class=\"le-hero-actions\" data-visual-copy=\"\"><a class=\"le-explore\" href=\"#le-resume\">Tutustu tutkimukseen<\/a><span class=\"le-scroll-cue\">\u2193<\/span><\/div><p class=\"le-byline\">Lean-tiimin riippumaton tutkimus, sovelluksen joka laskee kulutuksesi uudelleen joka p\u00e4iv\u00e4 mittauksistasi \u00b7 9. syyskuuta 2026 \u00b7 Avoin 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 Yksinkertainen kehote<\/span><div class=\"le-answer le-answer-0\" style=\"--order:0\"><span class=\"le-answer-name\">ChatGPT (GPT-5.5)<\/span><strong>1 600\u20132 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\u20132 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\u20132 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\u20132 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\u20132 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>eroa samalle profiilille, yksinkertainen kehote (prompt)<\/span><\/li>\n<li class=\"le-hero-stat le-mini-stat\"><strong>0 %<\/strong><span>kysyv\u00e4t kehon rasvaa<\/span><\/li>\n<li class=\"le-hero-stat le-mini-stat\"><strong>97 %<\/strong><span>vastaavat &ldquo;sedentary \/ active&rdquo; -taulukolla<\/span><\/li>\n<li class=\"le-hero-stat le-mini-stat\"><strong>14 %<\/strong><span>mainitsevat aineenvaihdunnan adaptaation<\/span><\/li>\n<\/ul>\n<\/section>\n<nav aria-label=\"T\u00e4ss\u00e4 tutkimuksessa\" class=\"le-nav\"><a href=\"#le-resume\">Yhteenveto<\/a><a href=\"#le-simple\">Tulokset<\/a><a href=\"#le-suivi\">Todellinen kysymys<\/a><a href=\"#le-donnees\">Tiedot<\/a><a href=\"#le-faq\">UKK<\/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\">Yhteenveto<\/span><h2 id=\"le-resume-title\">Tutkimus 30 sekunnissa<\/h2><\/header>\n<ul class=\"le-summary-list\"><li><span class=\"le-summary-num\">1<\/span><span class=\"le-summary-text\"><strong>291 vastausta<\/strong> ChatGPT:lt\u00e4, Geminilt\u00e4 ja Claudelta kysymykseen &ldquo;kuinka monta kaloria laihtumiseen?&rdquo;, 6 identtiselle profiilille.<\/span><\/li>\n<li><span class=\"le-summary-num\">2<\/span><span class=\"le-summary-text\">Yksinkertainen kehote (prompt) (ik\u00e4, paino, pituus): sama henkil\u00f6 saa <strong>1 500:sta 2 700 kcal:iin<\/strong> teko\u00e4lyst\u00e4 ja hetkest\u00e4 riippuen.<\/span><\/li>\n<li><span class=\"le-summary-num\">3<\/span><span class=\"le-summary-text\"><strong>0 %<\/strong> vastauksista kysyy kehon rasvaa. <strong>97 %<\/strong> palauttavat ruudukon \u00ab s\u00e9dentaire \/ mod\u00e9r\u00e9 \/ actif \u00bb, vuoden 1990 kaavan.<\/span><\/li>\n<li><span class=\"le-summary-num\">4<\/span><span class=\"le-summary-text\">T\u00e4ydellinen kehote (kehon rasva, askeleet, harjoituskerrat): yh\u00e4 <strong>650 kcal<\/strong> erosta, ja kehon rasvaa k\u00e4ytet\u00e4\u00e4n vain <strong>40 %<\/strong> laskelmissa.<\/span><\/li>\n<li><span class=\"le-summary-num\">5<\/span><span class=\"le-summary-text\">Yksik\u00e4\u00e4n teko\u00e4ly ei seuraa seuraavana p\u00e4iv\u00e4n\u00e4: p\u00e4iv\u00e4n askeleet, ateriat, l\u00e4mp\u00f6vaikutus, aineenvaihdunnan adaptaatio (<strong>14 %<\/strong> mainitsevat sen). Luku on lukittu p\u00e4iv\u00e4\u00e4n 1.<\/span><\/li>\n<\/ul>\n<div class=\"le-summary-verdict\"><strong>Tuomio.<\/strong> Se voi toimia tuurilla, ei menetelm\u00e4ll\u00e4: ilman mittausta tai p\u00e4ivitt\u00e4isi\u00e4 p\u00e4ivityksi\u00e4 vastaus on v\u00e4est\u00f6n keskiarvo, joka on lukittu ensimm\u00e4isen\u00e4 p\u00e4iv\u00e4n\u00e4.<\/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 Menetelm\u00e4<\/span><h2 id=\"le-methode-title\">Mit\u00e4 teimme<\/h2><\/header>\n<ul class=\"le-method-stats\"><li><strong>6<\/strong><span>samanlaiset profiilit, urheilullisesta naisesta istuvaan mieheen<\/span><\/li>\n<li><strong>2<\/strong><span>kehotetasoja: yksinkertainen, sitten t\u00e4ydellinen<\/span><\/li>\n<li><strong>5<\/strong><span>kuluttajille tarkoitetut teko\u00e4lyt, uusi keskustelu joka kerta<\/span><\/li>\n<li><strong>291<\/strong><span>aikaleimattuja vastauksia, julkaistu avoimena datana<\/span><\/li>\n<\/ul>\n<p class=\"le-method-note\">ChatGPT (GPT-5.5 ja GPT-5.4 mini), Gemini (3.7 Flash ja 3.1 Pro), Claude Opus. Ranska ja englanti, 2\u20133 toistoa, ilman mit\u00e4\u00e4n ohjeita. Kaavioiden musta viiva: mitattuihin tietoihin osa osalta laskettu tavoite (BMR laihaan massaan, askeleet, harjoitukset, TEF, 500 kcal:n alij\u00e4\u00e4m\u00e4).<\/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 Tulos 1<\/span><h2 id=\"le-simple-title\">Yksinkertainen kehote: 1 500:sta 2 700 kcal:iin samalle henkil\u00f6lle<\/h2><\/header>\n<p class=\"le-result-intro\">\u00ab Olen 32-vuotias mies, 78 kg, 180 cm, haluan laihtua, kuinka monta kaloria p\u00e4iv\u00e4ss\u00e4? \u00bb Kysymys sellaisena kuin miljoonat ihmiset sen esitt\u00e4v\u00e4t.<\/p>\n<div class=\"le-chart-controls\" data-controls=\"simple\" hidden=\"\"><div aria-label=\"Profiilit, yksinkertainen kehote (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\">N\u00e4yt\u00e4 kaikki<\/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\">Mies 32 vuotta, 78 kg, 180 cm, 12 % kehon rasvaa, 12 000 askelta, 4 salitreeni\u00e4\/vko<\/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 - 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 - 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 - 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 - 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 - 2 600<\/span><\/div><\/div><figcaption class=\"le-chart-caption\">Kaikki teko\u00e4lyt yhteens\u00e4: <strong class=\"le-caption-range\">1 500 - 2 700 kcal<\/strong>, eli <strong class=\"le-caption-gap\">1 200 kcal:n ero<\/strong> (28 vastausta). Musta viiva: mitattujen tietojen perusteella osa osalta laskettu tavoite (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\">Mies 32 vuotta, 78 kg, 180 cm, 28 % kehon rasvaa, 4 000 askelta, ei urheilua<\/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 - 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 - 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 - 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 - 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 - 2 500<\/span><\/div><\/div><figcaption class=\"le-chart-caption\">Kaikki teko\u00e4lyt yhteens\u00e4: <strong class=\"le-caption-range\">1 500 - 2 760 kcal<\/strong>, eli <strong class=\"le-caption-gap\">1 260 kcal:n ero<\/strong> (28 vastausta). Musta viiva: mitattujen tietojen perusteella osa osalta laskettu tavoite (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\">Nainen 28 vuotta, 62 kg, 165 cm, 22 % kehon rasvaa, 9 000 askelta, 3 kuntotreeni\u00e4\/vko<\/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 - 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 - 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 - 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 - 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\u20131 900<\/span><\/div><\/div><figcaption class=\"le-chart-caption\">Kaikki teko\u00e4lyt yhteens\u00e4: <strong class=\"le-caption-range\">1 130\u20132 000 kcal<\/strong>, eli <strong class=\"le-caption-gap\">870 kcal:n vaihteluv\u00e4li<\/strong> (25 vastausta). Musta viiva: tavoite laskettu osa osalta mitattujen tietojen perusteella (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\">Nainen 45 vuotta, 70 kg, 165 cm, 35 % kehon rasvaa, 3 500 askelta, ei urheilua<\/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 - 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\u20131 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\u20131 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 - 1 800<\/span><\/div><\/div><figcaption class=\"le-chart-caption\">Kaikki teko\u00e4lyt yhteens\u00e4: <strong class=\"le-caption-range\">1 100\u20132 000 kcal<\/strong>, eli <strong class=\"le-caption-gap\">900 kcal:n vaihteluv\u00e4li<\/strong> (22 vastausta). Musta viiva: tavoite laskettu osa osalta mitattujen tietojen perusteella (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\">Mies 50 vuotta, 95 kg, 178 cm, 30 % kehon rasvaa, 6 000 askelta, 2 k\u00e4vely\u00e4\/vko<\/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\u20132 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\u20132 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\u20132 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\u20132 300<\/span><\/div><\/div><figcaption class=\"le-chart-caption\">Kaikki teko\u00e4lyt yhteens\u00e4: <strong class=\"le-caption-range\">1 500\u20132 550 kcal<\/strong>, eli <strong class=\"le-caption-gap\">1 050 kcal:n vaihteluv\u00e4li<\/strong> (22 vastausta). Musta viiva: tavoite laskettu osa osalta mitattujen tietojen perusteella (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\">Nainen 24 vuotta, 55 kg, 170 cm, 18 % kehon rasvaa, 14 000 askelta, 5 juoksua\/vko<\/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\u20131 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\u20131 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\u20132 200<\/span><\/div><\/div><figcaption class=\"le-chart-caption\">Kaikki teko\u00e4lyt yhteens\u00e4: <strong class=\"le-caption-range\">1 200\u20132 200 kcal<\/strong>, eli <strong class=\"le-caption-gap\">1 000 kcal:n vaihteluv\u00e4li<\/strong> (16 vastausta). Musta viiva: tavoite laskettu osa osalta mitattujen tietojen perusteella (1 735 kcal).<\/figcaption>\n<\/figure>\n<\/div><div class=\"le-behavior\"><h3 class=\"le-behavior-title\">Teko\u00e4lyjen k\u00e4ytt\u00e4ytyminen, yksinkertainen kehote (147 vastausta)<\/h3><ul class=\"le-behavior-list\"><li data-percent=\"0\" style=\"--percent:0%\"><strong>0 %<\/strong><span>kysyv\u00e4t kehon rasvaprosenttia<\/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>kysyv\u00e4t p\u00e4ivitt\u00e4isten askelten m\u00e4\u00e4r\u00e4\u00e4<\/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>k\u00e4ytt\u00e4v\u00e4t ilmoitettua aktiivisuusruudukkoa<\/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>mainitsevat Mifflin-St Jeorin tai Harris-Benedictin (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>mainitsevat ruokien l\u00e4mp\u00f6vaikutuksen<\/span><span aria-hidden=\"true\" class=\"le-behavior-meter\"><i><\/i><\/span><\/li>\n<\/ul>\n<\/div><div class=\"le-insight\">P1 ja P2 esittiv\u00e4t <strong>t\u00e4sm\u00e4lleen saman kysymyksen<\/strong> (sama ik\u00e4, paino, pituus) ja saivat saman ruudukon. Silti heid\u00e4n todellinen kulutuksensa eroaa l\u00e4hes 1 000 kcal p\u00e4iv\u00e4ss\u00e4: 12 % kehon rasvaa ja 12 000 askelta toisella puolella, 28 % ja 4 000 askelta toisella.<\/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 Tulos 2<\/span><h2 id=\"le-complet-title\">T\u00e4ydellinen kehote: yh\u00e4 650 kcal eroa<\/h2><\/header>\n<p class=\"le-result-intro\">Annamme kaiken: kehon rasva, askeleet p\u00e4iv\u00e4ss\u00e4, harjoituskerrat, ja \u00ab anna minulle tarkka luku \u00bb. Kaikki tottelevat. Tarkka luku ei ole oikea luku.<\/p>\n<div class=\"le-chart-controls\" data-controls=\"complet\" hidden=\"\"><div aria-label=\"Profiilit, t\u00e4ydellinen kehote (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\">N\u00e4yt\u00e4 kaikki<\/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\">Mies 32 vuotta, 78 kg, 180 cm, 12 % kehon rasvaa, 12 000 askelta, 4 salitreeni\u00e4\/vko<\/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\u20132 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\u20132 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\u20132 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\u20132 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\u20132 450<\/span><\/div><\/div><figcaption class=\"le-chart-caption\">Kaikki teko\u00e4lyt yhteens\u00e4: <strong class=\"le-caption-range\">2 100\u20132 750 kcal<\/strong>, eli <strong class=\"le-caption-gap\">650 kcal:n ero<\/strong> (28 vastausta). Musta viiva: mitattujen tietojen perusteella osa osalta laskettu tavoite (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\">Mies 32 vuotta, 78 kg, 180 cm, 28 % kehon rasvaa, 4 000 askelta, ei urheilua<\/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\u20131 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\u20132 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\u20131 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\u20131 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\u20131 950<\/span><\/div><\/div><figcaption class=\"le-chart-caption\">Kaikki teko\u00e4lyt yhteens\u00e4: <strong class=\"le-caption-range\">1 400\u20132 000 kcal<\/strong>, eli <strong class=\"le-caption-gap\">600 kcal:n ero<\/strong> (28 vastausta). Musta viiva: mitattujen tietojen perusteella osa osalta laskettu tavoite (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\">Nainen 28 vuotta, 62 kg, 165 cm, 22 % kehon rasvaa, 9 000 askelta, 3 kuntotreeni\u00e4\/vko<\/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\u20131 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\u20131 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\u20131 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\u20131 900<\/span><\/div><\/div><figcaption class=\"le-chart-caption\">Kaikki teko\u00e4lyt yhteens\u00e4: <strong class=\"le-caption-range\">1 450\u20131 900 kcal<\/strong>, eli <strong class=\"le-caption-gap\">450 kcal:n ero<\/strong> (22 vastausta). Musta viiva: tavoite laskettu osa osalta mitatuista tiedoista (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\">Nainen 45 vuotta, 70 kg, 165 cm, 35 % kehon rasvaa, 3 500 askelta, ei urheilua<\/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\u20131 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\u20131 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\u20131 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 - 1 600<\/span><\/div><\/div><figcaption class=\"le-chart-caption\">Kaikki teko\u00e4lyt yhteens\u00e4: <strong class=\"le-caption-range\">1 200 - 1 600 kcal<\/strong>, eli <strong class=\"le-caption-gap\">400 kcal:n ero<\/strong> (22 vastausta). Musta viiva: tavoite laskettu osa osalta mitattujen tietojen perusteella (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\">Mies 50 vuotta, 95 kg, 178 cm, 30 % kehon rasvaa, 6 000 askelta, 2 k\u00e4vely\u00e4\/vko<\/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 - 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 - 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 - 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 - 2 100<\/span><\/div><\/div><figcaption class=\"le-chart-caption\">Kaikki teko\u00e4lyt yhteens\u00e4: <strong class=\"le-caption-range\">1 600 - 2 200 kcal<\/strong>, eli <strong class=\"le-caption-gap\">600 kcal:n ero<\/strong> (22 vastausta). Musta viiva: tavoite laskettu osa osalta mitattujen tietojen perusteella (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\">Nainen 24 vuotta, 55 kg, 170 cm, 18 % kehon rasvaa, 14 000 askelta, 5 juoksua\/vko<\/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 - 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 - 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\u20132 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 - 2 400<\/span><\/div><\/div><figcaption class=\"le-chart-caption\">Kaikki teko\u00e4lyt yhteens\u00e4: <strong class=\"le-caption-range\">1 850 - 2 500 kcal<\/strong>, eli <strong class=\"le-caption-gap\">650 kcal:n ero<\/strong> (19 vastausta). Musta viiva: tavoite laskettu osa osalta mitattujen tietojen perusteella (1 735 kcal).<\/figcaption>\n<\/figure>\n<\/div><div class=\"le-behavior\"><h3 class=\"le-behavior-title\">Teko\u00e4lyjen k\u00e4ytt\u00e4ytyminen, t\u00e4ydellinen kehote (144 vastausta)<\/h3><ul class=\"le-behavior-list\"><li data-percent=\"40\" style=\"--percent:40%\"><strong>40 %<\/strong><span>k\u00e4ytt\u00e4v\u00e4t todella annettua kehon rasvaa<\/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>muuntavat annetut askeleet kaloreiksi<\/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>mainitsevat aineenvaihdunnan adaptaation<\/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>mainitsevat ruokien l\u00e4mp\u00f6vaikutuksen<\/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>antavat yhden luvun, kuten pyydetty<\/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:n ja P2:n testi: sama paino, eri kehot<\/h3><ul class=\"le-comparison-stats\"><li><strong>699 <small>kcal<\/small><\/strong><span>P1:n ja P2:n v\u00e4linen ero IA:n mukaan (keskiarvo)<\/span><\/li>\n<li><strong>970 <small>kcal<\/small><\/strong><span>eroa, kun lasketaan osa osalta<\/span><\/li>\n<li><strong>+324 <small>kcal<\/small><\/strong><span>liikaa istuvalle profiilille, jonka kehon rasva on 28 %<\/span><\/li>\n<\/ul>\n<\/div><div class=\"le-insight\">IA:t n\u00e4kev\u00e4t eron n\u00e4iden kahden miehen v\u00e4lill\u00e4, mutta aliarvioivat sen: ne s\u00e4\u00e4t\u00e4v\u00e4t v\u00e4est\u00f6kaavaa mittaamisen sijaan. Istuva profiili, se joka \u00ab tekee kaiken oikein \u00bb, saa liian korkean tavoitteen eik\u00e4 laihdu lainkaan.<\/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 Todellinen aihe<\/span><h2 id=\"le-suivi-title\">Ongelma ei ole p\u00e4iv\u00e4 1, vaan <span class=\"le-time-headline\">89 seuraavaa p\u00e4iv\u00e4\u00e4<\/span><\/h2><\/header>\n<p class=\"le-time-intro\">78 % yksityiskohtaisista vastauksista neuvoo \u00ab punnitse itsesi ja s\u00e4\u00e4d\u00e4 \u00bb. Yksik\u00e4\u00e4n ei tee sit\u00e4 puolestasi.<\/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=\"\">P\u00e4iv\u00e4<\/span><span class=\"le-dial-day\" data-current-day=\"\">1<\/span><\/div><span class=\"le-dial-caption\">Luku on lukittu p\u00e4iv\u00e4\u00e4n 1.<\/span><\/div><ul class=\"le-timeline\"><li><strong><span>P\u00e4iv\u00e4<\/span> <b>1<\/b><\/strong><span>Chatbot saa painon ja vastaa kerran.<\/span><\/li>\n<li><strong><span>P\u00e4iv\u00e4<\/span> <b>2<\/b><\/strong><span>K\u00e4velit 4 000 askelta 11 000:n sijaan. Se ei tied\u00e4 sit\u00e4.<\/span><\/li>\n<li><strong><span>Viikko<\/span> <b>3<\/b><\/strong><span>Teit 6 harjoitusta ja muutit makrojasi. Se ei tied\u00e4 sit\u00e4.<\/span><\/li>\n<li><strong><span>P\u00e4iv\u00e4<\/span> <b>90<\/b><\/strong><span>Laihduit 4 kg, aineenvaihduntasi laski ja sitten sopeutui. Se ei viel\u00e4k\u00e4\u00e4n tied\u00e4 sit\u00e4.<\/span><\/li>\n<\/ul>\n<\/div><div class=\"le-checklists\"><div class=\"le-checklist le-checklist-no\"><h3>Mit\u00e4 chatbot ei tied\u00e4<\/h3><ul><li><span>\u2715<\/span><span>P\u00e4iv\u00e4n askeleesi<\/span><\/li>\n<li><span>\u2715<\/span><span>P\u00e4iv\u00e4n ateriasi ja niiden l\u00e4mp\u00f6vaikutus<\/span><\/li>\n<li><span>\u2715<\/span><span>Todellinen kehon rasvasi ja sen kehitys<\/span><\/li>\n<li><span>\u2715<\/span><span>Aineenvaihduntasi sopeutuminen viikkojen kuluessa<\/span><\/li>\n<li><span>\u2715<\/span><span>Ei yht\u00e4\u00e4n k\u00e4yr\u00e4\u00e4, ei yht\u00e4\u00e4n kulutuksesi graafia<\/span><\/li>\n<\/ul>\n<\/div><div class=\"le-checklist le-checklist-yes\"><h3>Mit\u00e4 oikea seuranta vaatii<\/h3><ul><li><span>\u2713<\/span><span>Kulutus lasketaan uudelleen joka p\u00e4iv\u00e4 mittausten perusteella<\/span><\/li>\n<li><span>\u2713<\/span><span>Tavoite, joka liikkuu askelten ja harjoitusten mukana<\/span><\/li>\n<li><span>\u2713<\/span><span>Kehon rasva mitataan uudelleen s\u00e4\u00e4nn\u00f6llisesti<\/span><\/li>\n<li><span>\u2713<\/span><span>Aineenvaihdunnan adaptaation automaattinen korjaus<\/span><\/li>\n<li><span>\u2713<\/span><span>Luettava k\u00e4yr\u00e4 TDEE:st\u00e4si ja sen kehityksest\u00e4<\/span><\/li>\n<\/ul>\n<\/div><\/div><\/div><div class=\"le-verdict\"><strong>Johtop\u00e4\u00e4t\u00f6s: toimiiko painonpudotus ChatGPT:ll\u00e4?<\/strong> Joskus onnenkantamoisella. Menetelm\u00e4n\u00e4 ei: ilman mittaamista tai p\u00e4ivitt\u00e4isi\u00e4 p\u00e4ivityksi\u00e4 vastaus pysyy v\u00e4est\u00f6arviona, joka on j\u00e4\u00e4dytetty ensimm\u00e4isen\u00e4 p\u00e4iv\u00e4n\u00e4. Testi voidaan tehd\u00e4 uudelleen viidess\u00e4 minuutissa oman profiilisi kanssa.<\/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 Ent\u00e4 Lean?<\/span><h2 id=\"le-app-title\">Mittava teko\u00e4ly vastaan arvaava teko\u00e4ly<\/h2><\/header>\n<p class=\"le-app-intro\">Lean k\u00e4ytt\u00e4\u00e4 my\u00f6s IA:ta, mutta mittaamiseen: BodyScan kehon rasvalle, valokuvaskannaus lautaselle, askelmittari askelille. Sitten se laskee uudelleen joka p\u00e4iv\u00e4 kulutuksesi viisi osaa ja piirt\u00e4\u00e4 k\u00e4yr\u00e4n.<\/p>\n<div class=\"le-app-panel\"><div class=\"le-feature-list\"><span class=\"le-feature le-feature-0\">BMR mitatulla rasvattomalla massalla<\/span><span class=\"le-feature le-feature-1\">NEAT todellisilla askeleilla<\/span><span class=\"le-feature le-feature-2\">EAT per session<\/span><span class=\"le-feature le-feature-3\">TEF makroista<\/span><span class=\"le-feature le-feature-4\">Metabolinen adaptaatio<\/span><\/div><strong>Lean mittaa, laskee uudelleen ja seuraa joka p\u00e4iv\u00e4<\/strong><span>Ensimm\u00e4inen sovellus, joka laskee aineenvaihdunnan adaptaation. Ilmainen lataus, 7 p\u00e4iv\u00e4n ilmainen kokeilu vuositilauksessa. 4,7\/5 App Storessa, yli 10 000 k\u00e4ytt\u00e4j\u00e4\u00e4.<\/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\">Tiedot<\/span><h2 id=\"le-donnees-title\">Tiedot, profiili profiililta<\/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 Mies 32 vuotta, 78 kg, 180 cm, 12 % rasvaprosentti, 12 000 askelta, 4 lihaskuntoharjoitusta\/vko<\/h3><div class=\"le-data-values\">Yksinkertainen kehote: <strong>1 500 - 2 700 kcal<\/strong> (28 vastausta) \u00b7 T\u00e4ydellinen kehote: <strong>2 100\u20132 750 kcal<\/strong> (28 vastausta) \u00b7 Osa osalta -tavoite: <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 Mies 32 vuotta, 78 kg, 180 cm, 28 % rasvaprosentti, 4 000 askelta, ei liikuntaa<\/h3><div class=\"le-data-values\">Yksinkertainen kehote: <strong>1 500 - 2 760 kcal<\/strong> (28 vastausta) \u00b7 T\u00e4ydellinen kehote: <strong>1 400\u20132 000 kcal<\/strong> (28 vastausta) \u00b7 Osa osalta -tavoite: <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 Nainen 28 vuotta, 62 kg, 165 cm, 22 % rasvaprosentti, 9 000 askelta, 3 fitness-harjoitusta\/vko<\/h3><div class=\"le-data-values\">Yksinkertainen kehote: <strong>1 130\u20132 000 kcal<\/strong> (25 vastausta) \u00b7 T\u00e4ydellinen kehote: <strong>1 450\u20131 900 kcal<\/strong> (22 vastausta) \u00b7 Osa osalta -tavoite: <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 Nainen 45 vuotta, 70 kg, 165 cm, 35 % rasvaprosentti, 3 500 askelta, ei liikuntaa<\/h3><div class=\"le-data-values\">Yksinkertainen kehote: <strong>1 100\u20132 000 kcal<\/strong> (22 vastausta) \u00b7 T\u00e4ydellinen kehote: <strong>1 200 - 1 600 kcal<\/strong> (22 vastausta) \u00b7 Osa osalta -tavoite: <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 Mies 50 vuotta, 95 kg, 178 cm, 30 % rasvaprosentti, 6 000 askelta, 2 k\u00e4vely\u00e4\/vko<\/h3><div class=\"le-data-values\">Yksinkertainen kehote: <strong>1 500\u20132 550 kcal<\/strong> (22 vastausta) \u00b7 T\u00e4ydellinen kehote: <strong>1 600 - 2 200 kcal<\/strong> (22 vastausta) \u00b7 Osa osalta -tavoite: <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 Nainen 24 vuotta, 55 kg, 170 cm, 18 % kehon rasvaa, 14 000 askelta, 5 juoksua\/vko<\/h3><div class=\"le-data-values\">Yksinkertainen kehote: <strong>1 200\u20132 200 kcal<\/strong> (16 vastausta) \u00b7 T\u00e4ydellinen kehote: <strong>1 850 - 2 500 kcal<\/strong> (19 vastausta) \u00b7 Osa osalta tavoite: <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\">Saman teko\u00e4lyn vaihtelu samalla toistetulla kehotteella (t\u00e4ydellinen kehote, keskim\u00e4\u00e4r\u00e4inen ero toistojen v\u00e4lill\u00e4): 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\">Koko aineisto (kehotteet, 291 raakavastausta, poiminta, skriptit): <a href=\"https:\/\/doi.org\/10.5281\/zenodo.22662006\" rel=\"noopener\">Zenodo, DOI 10.5281\/zenodo.22662006<\/a>, CC BY 4.0 -lisenssi.<\/p>\n<details class=\"le-disclosure\"><summary>Yksityiskohtainen menetelm\u00e4 ja rajoitukset<\/summary>\n<p>API:n kautta kysytyt mallit oletusasetuksilla ja ilman j\u00e4rjestelm\u00e4ohjetta: GPT-5.5 ja GPT-5.4 mini (OpenAI), Gemini 3.7 Flash ja Gemini 3.1 Pro (Google). Claude Opus (Anthropic) kysyttiin virallisen komentorivik\u00e4ytt\u00f6liittym\u00e4n kautta neutraalilla j\u00e4rjestelm\u00e4kehotteella ja ilman mit\u00e4\u00e4n kontekstia. Kuusi profiilia, kaksi kehotetasoa, ranska ja englanti, 2\u20133 toistoa yhdistelm\u00e4\u00e4 kohti, 291 vastausta ker\u00e4ttiin 8. syyskuuta 2026 (Gemini 3.1 Pro: 27 vastausta, API:n nopeusrajoitus; muut mallit: 48\u201372).<\/p>\n<p>Vastausten lukeminen: automaattinen poimija (GPT-5.4 mini, l\u00e4mp\u00f6tila 0, tiukka JSON-skeema) tunnistaa suositellun saantitavoitteen (min ja max, kun annetaan vaihteluv\u00e4li tai taulukko) ja k\u00e4ytt\u00e4ytymiset (ennen vastaamista esitetty kysymys, aktiivisuustaulukko, annettujen kehon rasvan ja askelten todellinen k\u00e4ytt\u00f6, aineenvaihdunnan adaptaation ja l\u00e4mp\u00f6vaikutuksen maininta). Poiminta julkaistaan raakavastausten kanssa, rivi rivilt\u00e4.<\/p>\n<p>Rajoitukset: kuvitteelliset profiilit; julkiset viitekaavat (Katch-McArdle rasvattomasta massasta, Ainsworthin 2011 compendium, TEF 10 %:ssa), jotka toimivat vertailukohtana, eiv\u00e4t kentt\u00e4totuutena; mallit kehittyv\u00e4t ja vastaukset muuttuvat viikosta toiseen, mik\u00e4 kuuluu havaintoon. Lean julkaisee t\u00e4m\u00e4n tutkimuksen ja myy seurantaa varten sovelluksen: menetelm\u00e4 ja data ovat avoimia, jotta kuka tahansa voi tehd\u00e4 sen uudelleen.<\/p>\n<\/details>\n<details class=\"le-disclosure\"><summary>Tieteelliset l\u00e4hteet<\/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>Tiede<\/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\">Tutkimuksen julkaisi Lean-tiimi. Lehdist\u00f6kontakti: franckbarriere@lean-app.com. Ei l\u00e4\u00e4ketieteellist\u00e4 neuvontaa.<\/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\">Usein kysytyt kysymykset<\/h2><\/header>\n<details class=\"le-disclosure\"><summary>Voiko ChatGPT laskea, kuinka monta kaloria minun pit\u00e4isi sy\u00f6d\u00e4?<\/summary>\n<p>Se antaa luvun, mutta ei mittausta. 291 vastauksesta yksik\u00e4\u00e4n teko\u00e4ly ei kysynyt kehon rasvaa (vain yksi kysyi askelm\u00e4\u00e4r\u00e4n), ja 97 % yksinkertaiseen kehotteeseen annetuista vastauksista perustuu ilmoitettuun aktiivisuusluokkaan (istuva, kohtalainen, aktiivinen). Tuloksena on tilastollinen keskiarvo, joka sivuuttaa kehon koostumuksesi ja todellisen aktiivisuutesi, jopa 1 260 kcal:n erolla samalle henkil\u00f6lle.<\/p>\n<\/details>\n<details class=\"le-disclosure\"><summary>Miksi teko\u00e4lyt antavat niin erilaisia lukuja samalle profiilille?<\/summary>\n<p>Koska niill\u00e4 ei ole mittausta. Ne soveltavat populaatiokaavaa (useimmiten Mifflin-St Jeor 1990) ja sitten aktiivisuuskertoimen, joka valitaan arvion perusteella. Kaksi 78 kg:n miest\u00e4, toinen 12 % kehon rasvassa ja 12 000 askelta, toinen 28 % ja 4 000 askelta, saavat saman vastauksen yksinkertaiseen kehotteeseen, vaikka heid\u00e4n todellinen kulutuksensa eroaa l\u00e4hes 1 000 kcal.<\/p>\n<\/details>\n<details class=\"le-disclosure\"><summary>Auttaako ChatGPT:lle annettujen lis\u00e4tietojen antaminen korjaamaan ongelman?<\/summary>\n<p>Vain osittain. Kun kehotteessa on kehon rasva, askeleet ja treenit, teko\u00e4lyjen v\u00e4linen ero on edelleen 650 kcal samalla profiililla, kehon rasvaa k\u00e4ytet\u00e4\u00e4n laskennassa todella vain 40 %:ssa vastauksista ja askeleita 42 %:ssa. Ja ennen kaikkea vastaus on lukittu: se ei tied\u00e4, kuinka paljon olet k\u00e4vellyt tai sy\u00f6nyt t\u00e4n\u00e4\u00e4n, eik\u00e4 sit\u00e4, miten aineenvaihdunnan adaptaatio tapahtuu viikkojen my\u00f6t\u00e4.<\/p>\n<\/details>\n<details class=\"le-disclosure\"><summary>Mik\u00e4 on aineenvaihdunnan adaptaatio ja miksi se muuttaa vastausta?<\/summary>\n<p>Pitkittyneess\u00e4 kalorivajeessa perusaineenvaihdunta laskee enemm\u00e4n kuin painonpudotus selitt\u00e4\u00e4. Luku, joka on oikein t\u00e4n\u00e4\u00e4n, muuttuu liian suureksi muutaman viikon kuluttua. Vain 14 % yksityiskohtaisista vastauksista mainitsi sen, eik\u00e4 yksik\u00e4\u00e4n laske sit\u00e4. Se on yleisin tasannevaiheiden syy.<\/p>\n<\/details>\n<details class=\"le-disclosure\"><summary>Miten kalorit lasketaan oikein laihtumista varten?<\/summary>\n<p>Rakentamalla kulutus osa osalta uudelleen, TDEE = BMR + NEAT + EAT + TEF, kun perusaineenvaihdunta lasketaan todellisen rasvattoman massan perusteella, NEAT mitattujen askelten perusteella, EAT todella tehtyjen harjoitusten perusteella, TEF sy\u00f6tyjen makrojen perusteella, ja seuraamalla sitten kehityst\u00e4 p\u00e4iv\u00e4 p\u00e4iv\u00e4lt\u00e4 sek\u00e4 korjaamalla, kun keho sopeutuu. T\u00e4m\u00e4 on seurantaa, ei yhden lauseen vastaus.<\/p>\n<\/details>\n<details class=\"le-disclosure\"><summary>Onko teko\u00e4ly hy\u00f6dyt\u00f6n ravitsemuksessa?<\/summary>\n<p>Ei. Teko\u00e4ly on arvokas silloin, kun se mittaa: kehon rasvan arviointi valokuvasta, aterian tunnistaminen, viivakoodin lukeminen. Se on heikko, kun se arvaa kolmen luvun perusteella. Ero on jatkuvasti p\u00e4ivittyviin mittauksiin kytketyss\u00e4 teko\u00e4lyss\u00e4 ja chatbotissa, joka vastaa muistista tuntemattomalle.<\/p>\n<\/details>\n<details class=\"le-disclosure\"><summary>Voinko toistaa tutkimuksen?<\/summary>\n<p>Kyll\u00e4. 12 promptia, aikaleimalla varustetut raakat vastaukset, j\u00e4sennelty poiminta ja skriptit on julkaistu avoimena datana (linkki sivun alareunassa). Jokainen kutsu on uusi keskustelu, ilman j\u00e4rjestelm\u00e4ohjetta, oletusasetuksilla.<\/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\">Lue my\u00f6s<\/h2><\/header>\n<ul class=\"le-related\"><li><a href=\"https:\/\/lean-app.com\/fi\/calculateur-tdee\/\">TDEE-laskuri: kanoninen kaava BMR + NEAT + EAT + TEF <span>Rasvaprosenttitietoinen laskuri 4 metabolisen rakennuspalikan erittelyll\u00e4.<\/span><\/a><\/li>\n<li><a href=\"https:\/\/lean-app.com\/fi\/calculer-vraie-depense-calorique\/\">Miten laskea todellinen kalorikulutuksesi: t\u00e4ydellinen opas <span>BMR todellisesta rasvaprosentista, NEAT askelista, EAT treeneitt\u00e4in, TEF makroista, adaptaatio.<\/span><\/a><\/li>\n<li><a href=\"https:\/\/lean-app.com\/fi\/calculateur-adaptation-metabolique\/\">Metabolisen adaptaation laskuri: onko aineenvaihduntasi hidastunut? <span>Kerroin 100\u20130 %, adaptoitunut BMR kcal\/p\u00e4iv\u00e4, ja milloin pit\u00e4\u00e4 diet break.<\/span><\/a><\/li>\n<li><a href=\"https:\/\/lean-app.com\/fi\/10000-pas-calories\/\">10 000 askelta p\u00e4iv\u00e4ss\u00e4: kuinka paljon kaloreita se todella kuluttaa <span>300\u2013550 kcal painon mukaan. Taulukko profiileittain, julkinen kaava, laskuri.<\/span><\/a><\/li>\n<li><a href=\"https:\/\/lean-app.com\/fi\/etude-base-donnees-calories\/\">Tutkimus: 857 655 tuotetta analysoitu, 1 skannaus 3:sta ep\u00e4luotettava <span>Kaloritietokantojen laatu, mitattuna.<\/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). 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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. 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