{"id":1947,"date":"2026-08-23T20:43:53","date_gmt":"2026-08-23T20:43:53","guid":{"rendered":"https:\/\/lean-app.com\/?p=1947"},"modified":"2026-09-05T10:39:09","modified_gmt":"2026-09-05T10:39:09","slug":"etude-base-donnees-calories","status":"publish","type":"post","link":"https:\/\/lean-app.com\/fi\/etude-base-donnees-calories\/","title":{"rendered":"Analysoimme 857 655 Ranskassa myyty\u00e4 tuotetta: mit\u00e4 kaloriskannerisi ei kerro sinulle"},"content":{"rendered":"<script data-wpmeteor-nooptimize=\"true\" type=\"application\/ld+json\">\n{\n  \"@context\": \"https:\/\/schema.org\",\n  \"@type\": \"Dataset\",\n  \"name\": \"Coh\u00e9rence calorique des produits alimentaires vendus en France (OpenFoodFacts, ao\u00fbt 2026)\",\n  \"description\": \"Agr\u00e9gats issus de l'analyse de 857 655 produits vendus en France depuis le dump public OpenFoodFacts du 23 ao\u00fbt 2026 : compl\u00e9tude des fiches et coh\u00e9rence entre calories d\u00e9clar\u00e9es et calories recalcul\u00e9es depuis les macronutriments (facteurs Atwater, r\u00e8glement INCO 1169\/2011).\",\n  \"url\": \"https:\/\/lean-app.com\/etude-base-donnees-calories\/\",\n  \"creator\": {\"@type\": \"Organization\", \"name\": \"L'\u00e9quipe Lean\", \"url\": \"https:\/\/lean-app.com\/\"},\n  \"identifier\": [\"https:\/\/doi.org\/10.5281\/zenodo.22284416\", \"https:\/\/doi.org\/10.6084\/m9.figshare.33432244\"],\n  \"sameAs\": [\"https:\/\/zenodo.org\/records\/22284416\", \"https:\/\/figshare.com\/articles\/preprint\/33432244\", \"https:\/\/osf.io\/tczvj\/\", \"https:\/\/www.wikidata.org\/wiki\/Q141267884\"],\n  \"isBasedOn\": \"https:\/\/world.openfoodfacts.org\/data\",\n  \"license\": \"https:\/\/opendatacommons.org\/licenses\/odbl\/1-0\/\",\n  \"temporalCoverage\": \"2026-08-23\",\n  \"spatialCoverage\": \"France\",\n  \"variableMeasured\": [\"energy-kcal_100g\", \"proteins_100g\", \"carbohydrates_100g\", \"fat_100g\", \"fiber_100g\", \"alcohol_100g\", \"polyols_100g\"]\n}\n<\/script>\n<script data-wpmeteor-nooptimize=\"true\" type=\"application\/ld+json\">\n{\n  \"@context\": \"https:\/\/schema.org\",\n  \"@type\": \"FAQPage\",\n  \"mainEntity\": [\n    {\"@type\": \"Question\", \"name\": \"Pourquoi analyser OpenFoodFacts et pas USDA ?\",\n     \"acceptedAnswer\": {\"@type\": \"Answer\", \"text\": \"Pour les produits \u00e0 code-barres vendus en France, la source de r\u00e9f\u00e9rence des trackers est OpenFoodFacts. USDA couvre les aliments bruts et le march\u00e9 am\u00e9ricain. L'\u00e9tude porte sur ce que renvoie r\u00e9ellement un scan en France.\"}},\n    {\"@type\": \"Question\", \"name\": \"Faut-il arr\u00eater de scanner ses aliments ?\",\n     \"acceptedAnswer\": {\"@type\": \"Answer\", \"text\": \"Non. Le scan reste le moyen le plus rapide de logger. La bonne pratique : v\u00e9rifier que les macros affich\u00e9es sont coh\u00e9rentes avec les calories. Si prot\u00e9ines, glucides et lipides ne collent pas aux kcal, la fiche est fausse.\"}},\n    {\"@type\": \"Question\", \"name\": \"Les applications corrigent-elles ces erreurs ?\",\n     \"acceptedAnswer\": {\"@type\": \"Answer\", \"text\": \"La base OpenFoodFacts est collaborative et vit en continu : 4 des 6 pires fiches identifi\u00e9es dans le dump avaient d\u00e9j\u00e0 \u00e9t\u00e9 corrig\u00e9es en ligne au moment de l'\u00e9tude. Mais une application qui a synchronis\u00e9 une fiche fausse peut la garder en cache longtemps apr\u00e8s la correction.\"}},\n    {\"@type\": \"Question\", \"name\": \"La base de Lean est-elle diff\u00e9rente ?\",\n     \"acceptedAnswer\": {\"@type\": \"Answer\", \"text\": \"Lean croise la base USDA pour les aliments bruts et OpenFoodFacts pour les produits \u00e0 code-barres, et propose le scan photo IA qui estime l'assiette sans d\u00e9pendre d'une fiche. Surtout, Lean concentre la pr\u00e9cision l\u00e0 o\u00f9 l'erreur est invisible : le calcul de la d\u00e9pense (TDEE = BMR + NEAT + EAT + TEF).\"}}\n  ]\n}\n<\/script>\n<style id=\"lvm-shell-styles\">#lvm-shell{\n  --bg:#FFFFFF; --paper:#F7F6F2; --paper-2:#F1EFE7;\n  --ink:#0E0E10; --ink-2:#1D1D1F; --muted:#6E6E73; --dim:#86868B;\n  --rule:#E8E6DF; --rule-soft:#EFEDE5;\n  --pink:#FF2D6E; --pink-soft:rgba(255,45,110,0.06);\n  --mfp:#6ABF6C;\n  --green:#0F8F5C; --red:#D02E2E; --amber:#C8A019;\n  --font-display:-apple-system,\"SF Pro Display\",system-ui,\"Helvetica Neue\",sans-serif;\n  --font-text:-apple-system,\"SF Pro Text\",system-ui,sans-serif;\n  --font-mono:ui-monospace,\"SF Mono\",Menlo,Consolas,monospace;\n}\n#lvm-shell *{box-sizing:border-box;-webkit-text-size-adjust:100%}\n#lvm-shell, #lvm-shell{margin:0;padding:0;background:var(--bg);color:var(--ink-2);font-family:var(--font-text);font-size:17px;line-height:1.7;-webkit-font-smoothing:antialiased}\n#lvm-shell ::selection{background:rgba(255,45,110,0.18);color:var(--ink)}\n#lvm-shell img{max-width:100%;display:block}\n#lvm-shell a{color:inherit}\n\n#lvm-shell .progress{position:fixed;top:0;left:0;right:0;height:2px;background:transparent;z-index:1000}\n#lvm-shell .progress > i{display:block;height:100%;width:100%;background:var(--pink);transform-origin:0 50%;transform:scaleX(0);transition:transform .05s linear}\n\n#lvm-shell .nav{position:sticky;top:0;z-index:50;background:rgba(255,255,255,.86);backdrop-filter:saturate(180%) blur(14px);-webkit-backdrop-filter:saturate(180%) blur(14px);border-bottom:1px solid var(--rule)}\n#lvm-shell .nav-row{max-width:1160px;margin:0 auto;display:flex;align-items:center;gap:14px;padding:10px 22px}\n#lvm-shell .nav-brand{display:flex;align-items:center;gap:9px;text-decoration:none;color:var(--ink)}\n#lvm-shell .nav-brand img{width:28px;height:28px;border-radius:7px;object-fit:cover}\n#lvm-shell .nav-brand span{font-family:var(--font-display);font-weight:600;font-size:18px;letter-spacing:-.01em}\n#lvm-shell .nav-spacer{flex:1}\n#lvm-shell .nav-link{color:var(--muted);text-decoration:none;font-size:14px}\n#lvm-shell .nav-link:hover{color:var(--ink)}\n#lvm-shell .nav-stores{display:flex;gap:6px;align-items:center}\n#lvm-shell .nav-stores a{display:block;line-height:0}\n#lvm-shell .nav-stores img{height:28px;width:auto;border-radius:5px;transition:transform .15s}\n#lvm-shell .nav-stores a:hover img{transform:translateY(-1px)}\n\n#lvm-shell .wrap{max-width:760px;margin:0 auto;padding:0 28px}\n\n#lvm-shell .hero{padding:54px 0 0}\n#lvm-shell .crumb{font-size:13px;color:var(--muted);margin-bottom:18px}\n#lvm-shell .crumb a{text-decoration:none;color:var(--muted)}\n#lvm-shell .crumb a:hover{color:var(--ink)}\n#lvm-shell .eyebrow{font-family:var(--font-mono);font-size:12px;font-weight:500;text-transform:uppercase;letter-spacing:.06em;color:var(--pink);margin-bottom:18px}\n#lvm-shell h1{font-family:var(--font-display);font-weight:600;font-size:72px;line-height:1.0;letter-spacing:-.04em;color:var(--ink);margin:0 0 22px}\n#lvm-shell h1 .alt{display:block;font-weight:500;color:var(--muted);font-size:.66em;line-height:1.15;margin-top:14px;letter-spacing:-.03em}\n#lvm-shell .dek{font-family:var(--font-display);font-size:24px;line-height:1.4;font-weight:400;color:var(--ink-2);letter-spacing:-.015em;margin:0 0 22px;max-width:680px}\n\n#lvm-shell .byline{display:flex;align-items:center;gap:10px;font-size:14px;color:var(--muted);margin-bottom:14px}\n#lvm-shell .byline .by-logo{width:26px;height:26px;border-radius:6px;object-fit:cover;flex-shrink:0;background:transparent;border:0}\n#lvm-shell .byline strong{color:var(--ink);font-weight:600;font-family:var(--font-display)}\n\n#lvm-shell .hero-stores{display:flex;gap:10px;margin:22px 0 18px;flex-wrap:wrap;align-items:center}\n#lvm-shell .hero-stores a{display:block;line-height:0;transition:transform .15s}\n#lvm-shell .hero-stores a:hover{transform:translateY(-2px)}\n#lvm-shell .hero-stores img{height:46px;width:auto;border-radius:9px}\n#lvm-shell .hero-stores .or{font-size:13px;color:var(--muted)}\n\n#lvm-shell .hero-bottom{display:grid;grid-template-columns:1.3fr 1fr;gap:48px;align-items:center;margin:38px 0 60px;padding-top:28px;border-top:1px solid var(--rule-soft)}\n#lvm-shell .hero-lead{font-family:var(--font-display);font-size:21px;line-height:1.5;color:var(--ink-2);font-weight:400}\n\n#lvm-shell .phone-wrap{display:flex;justify-content:center}\n#lvm-shell .phone{\n  position:relative;\n  width:280px;\n  background:linear-gradient(145deg,#2a2a2a,#0e0e0e);\n  border-radius:42px;\n  padding:5px;\n  border:1.5px solid rgba(255,255,255,.07);\n  box-shadow:0 30px 60px rgba(0,0,0,.18), 0 2px 6px rgba(0,0,0,.08);\n}\n#lvm-shell .phone .notch{\n  position:absolute;top:0;left:50%;transform:translateX(-50%);\n  width:96px;height:24px;background:#0a0a0a;border-radius:0 0 16px 16px;z-index:10;\n}\n#lvm-shell .phone-screen{\n  position:relative;\n  border-radius:34px;overflow:hidden;\n  background:#FAF0E6;\n  aspect-ratio:9\/19.5;\n}\n#lvm-shell .phone-bg{position:absolute;inset:0;width:100%;height:100%;background-size:cover;background-position:center top;background-repeat:no-repeat;transition:opacity .28s ease;background-color:#FAF0E6}\n#lvm-shell .phone-bg.tab-depense{background-image:url(\"https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-screen_depense.webp\")}\n#lvm-shell .phone-bg.tab-bilan{background-image:url(\"https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-screen_bilan.webp\")}\n#lvm-shell .phone-bg.tab-kcal{background-image:url(\"https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-screen_kcal.webp\")}\n#lvm-shell .phone-bg.tab-strategie{background-image:url(\"https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-screen_strategie.webp\")}\n#lvm-shell .phone-bg.sub-BMR{background-image:url(\"https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-screen_BMR.webp\")}\n#lvm-shell .phone-bg.sub-NEAT{background-image:url(\"https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-screen_NEAT.webp\")}\n#lvm-shell .phone-bg.sub-EAT{background-image:url(\"https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-screen_EAT.webp\")}\n#lvm-shell .phone-bg.sub-TEF{background-image:url(\"https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-screen_TEF.webp\")}\n#lvm-shell .phone-zones{position:absolute;inset:0;z-index:15;pointer-events:none}\n#lvm-shell .phone-zones .z{position:absolute;left:4%;right:4%;cursor:pointer;background:transparent;border:0;padding:0;pointer-events:auto}\n#lvm-shell .phone-zones .z:focus-visible{outline:2px solid var(--pink);outline-offset:-4px;border-radius:6px}\n#lvm-shell .phone-navbar{position:absolute;left:0;right:0;bottom:0;height:9%;z-index:16;display:grid;grid-template-columns:repeat(4,1fr)}\n#lvm-shell .phone-navbar button{background:transparent;border:0;padding:0;cursor:pointer}\n#lvm-shell .phone-navbar button:focus-visible{outline:2px solid var(--pink);outline-offset:-3px;border-radius:6px}\n#lvm-shell .phone-back{\n  position:absolute;top:10px;left:10px;z-index:20;\n  width:30px;height:30px;border-radius:50%;\n  border:0;background:rgba(255,255,255,.78);backdrop-filter:blur(8px);\n  color:var(--ink);font-size:18px;font-weight:600;line-height:1;cursor:pointer;\n  display:none;align-items:center;justify-content:center;\n  box-shadow:0 2px 6px rgba(0,0,0,.12);\n}\n#lvm-shell .phone-back.on{display:flex}\n\n#lvm-shell .phone-cap{margin-top:14px;text-align:center;font-size:12px;color:var(--muted);font-family:var(--font-mono);text-transform:uppercase;letter-spacing:.06em}\n#lvm-shell .phone-stage{position:relative}\n#lvm-shell .tap-hint{position:absolute;z-index:30;pointer-events:none;animation:hintFloat 2.6s ease-in-out infinite}\n#lvm-shell .tap-hint .th-pill{display:inline-block;font-family:var(--font-display);font-size:15px;font-weight:600;color:#fff;line-height:1.25;letter-spacing:-.005em;background:var(--pink);padding:10px 16px;border-radius:14px;box-shadow:0 14px 32px rgba(255,45,110,.32);white-space:nowrap}\n#lvm-shell .tap-hint .th-pill small{display:block;font-size:11px;font-weight:500;color:rgba(255,255,255,.85);text-transform:uppercase;letter-spacing:.08em;margin-bottom:3px}\n#lvm-shell .tap-hint .th-arrow{position:absolute;color:var(--pink)}\n#lvm-shell .tap-hint.desktop{left:-204px;top:4px;text-align:right}\n#lvm-shell .tap-hint.desktop .th-arrow{right:-86px;top:58px;width:104px;height:34px;transform:none}\n#lvm-shell .tap-hint.mobile{display:none}\n#lvm-shell .tap-hint.hidden{opacity:0;transform:translateY(-6px);transition:opacity .35s ease, transform .35s ease;animation:none}\n@keyframes hintFloat{\n  0%, 100%{transform:translateY(0)}\n  50%{transform:translateY(-7px)}\n}\n@media (prefers-reduced-motion:reduce){#lvm-shell .tap-hint{animation:none}}\n#lvm-shell .phone-tabs{display:flex;justify-content:center;gap:8px;margin-top:10px;flex-wrap:nowrap}\n#lvm-shell .phone-tabs button{\n  background:transparent;border:1px solid var(--rule);color:var(--muted);\n  padding:6px 11px;border-radius:999px;font-size:11px;cursor:pointer;\n  font-family:var(--font-text);transition:all .15s;white-space:nowrap;\n}\n#lvm-shell .phone-tabs button:hover{color:var(--ink);border-color:var(--ink)}\n#lvm-shell .phone-tabs button.on{background:var(--ink);color:#fff;border-color:var(--ink)}\n\n#lvm-shell .snippet{background:var(--paper);border-radius:18px;padding:30px 32px;margin:48px 0 0;border:1px solid var(--rule-soft)}\n#lvm-shell .snippet .lbl{font-family:var(--font-mono);font-size:11px;font-weight:500;text-transform:uppercase;letter-spacing:.08em;color:var(--muted);margin-bottom:14px}\n#lvm-shell .snippet p{margin:0;font-family:var(--font-display);font-size:21px;line-height:1.45;color:var(--ink);font-weight:500;letter-spacing:-.012em}\n\n#lvm-shell section{padding:64px 0;border-bottom:1px solid var(--rule-soft)}\n#lvm-shell section:last-of-type{border-bottom:0}\n#lvm-shell .section-label{display:flex;align-items:center;gap:14px;margin-bottom:30px}\n#lvm-shell .section-label .bar{width:24px;height:1px;background:var(--pink)}\n#lvm-shell .section-label .num{font-family:var(--font-mono);font-size:12px;font-weight:500;text-transform:uppercase;letter-spacing:.06em;color:var(--pink)}\n#lvm-shell h2{font-family:var(--font-display);font-weight:600;font-size:48px;line-height:1.05;letter-spacing:-.035em;color:var(--ink);margin:0 0 24px}\n#lvm-shell h3{font-family:var(--font-display);font-weight:600;font-size:32px;line-height:1.15;letter-spacing:-.025em;color:var(--ink);margin:36px 0 16px}\n#lvm-shell h4{font-family:var(--font-display);font-weight:500;font-size:20px;line-height:1.3;letter-spacing:-.015em;color:var(--ink);margin:24px 0 10px}\n#lvm-shell p{margin:0 0 22px;color:var(--ink-2)}\n#lvm-shell strong{color:var(--ink);font-weight:600}\n#lvm-shell ul, #lvm-shell ol{margin:0 0 22px;padding-left:22px;color:var(--ink-2)}\n#lvm-shell li{margin-bottom:8px}\n#lvm-shell a.inline{color:var(--pink);text-decoration:underline;text-decoration-thickness:1px;text-underline-offset:3px}\n#lvm-shell a.inline:hover{text-decoration-thickness:2px}\n\n#lvm-shell .statement{margin:48px 0;padding:32px 0;border-top:1px solid var(--rule);border-bottom:1px solid var(--rule);text-align:left}\n#lvm-shell .statement .num{font-family:var(--font-display);font-size:60px;font-weight:600;line-height:1;letter-spacing:-.04em;color:var(--pink);margin-bottom:14px}\n#lvm-shell .statement .lbl{font-family:var(--font-display);font-size:23px;line-height:1.35;font-weight:500;color:var(--ink);letter-spacing:-.012em}\n\n#lvm-shell .fig{margin:32px 0 18px;background:#fff;border:1px solid var(--rule);border-radius:20px;padding:28px 22px 20px;position:relative;overflow:hidden}\n#lvm-shell .fig-head{display:flex;justify-content:space-between;align-items:baseline;margin-bottom:18px}\n#lvm-shell .fig-head .l{font-family:var(--font-mono);font-size:11px;font-weight:500;text-transform:uppercase;letter-spacing:.08em;color:var(--muted)}\n#lvm-shell .fig-head .r{font-family:var(--font-mono);font-size:11px;font-weight:600;color:var(--ink);text-transform:uppercase;letter-spacing:.08em}\n#lvm-shell .fig-body{position:relative}\n#lvm-shell .fig-cap{margin:18px 4px 0;font-size:14px;color:var(--muted);line-height:1.5}\n#lvm-shell .fig-cap strong{color:var(--ink);font-weight:600}\n#lvm-shell .cv-wrap{position:relative;height:360px}\n\n#lvm-shell [data-term]{position:relative;cursor:help;border-bottom:1px dotted var(--dim)}\n#lvm-shell [data-term]:hover{color:var(--ink)}\n#lvm-shell .tt{position:absolute;left:50%;bottom:calc(100% + 12px);transform:translateX(-50%);min-width:200px;max-width:300px;background:#0c0c0c;color:#fff;font-size:13px;line-height:1.45;padding:11px 14px;border-radius:10px;box-shadow:0 12px 36px rgba(0,0,0,.32);opacity:0;visibility:hidden;transition:opacity .15s, visibility .15s;z-index:120;pointer-events:none;font-weight:400;font-family:var(--font-text)}\n#lvm-shell .tt::after{content:\"\";position:absolute;top:100%;left:50%;transform:translateX(-50%);border:6px solid transparent;border-top-color:#0c0c0c}\n#lvm-shell [data-term]:hover .tt, #lvm-shell [data-term]:focus .tt{opacity:1;visibility:visible}\n\n#lvm-shell .table{margin:24px 0;border:1px solid var(--rule);border-radius:16px;overflow:hidden;background:#fff}\n#lvm-shell .table-row{display:grid;grid-template-columns:1.55fr 1fr 1fr;border-bottom:1px solid var(--rule-soft);min-height:60px}\n#lvm-shell .table-row:last-child{border-bottom:0}\n#lvm-shell .table-row.head{background:var(--ink);color:#fff;border-bottom:0}\n#lvm-shell .table-row.head > div{padding:18px 18px;display:flex;align-items:center;gap:10px;font-family:var(--font-mono);font-size:11px;font-weight:500;text-transform:uppercase;letter-spacing:.07em}\n#lvm-shell .table-row.head .brand-cell{justify-content:flex-start}\n#lvm-shell .table-row.head .brand-cell img{width:24px;height:24px;border-radius:6px;background:#fff;object-fit:cover}\n#lvm-shell .table-row.head .brand-cell.lean{color:#FFB8CE}\n#lvm-shell .table-row > .crit{padding:16px 18px;font-size:14px;color:var(--ink);font-weight:500;display:flex;align-items:center;border-right:1px solid var(--rule-soft)}\n#lvm-shell .table-row > .cell{padding:16px 14px;font-size:13px;line-height:1.45;color:var(--ink-2);display:flex;align-items:center;gap:10px;border-right:1px solid var(--rule-soft)}\n#lvm-shell .table-row > .cell:last-child{border-right:0}\n#lvm-shell .table-row > .cell.lean{background:var(--pink-soft);position:relative}\n#lvm-shell .table-row > .cell.lean::before{content:\"\";position:absolute;left:0;top:0;bottom:0;width:2px;background:var(--pink)}\n#lvm-shell .icn{width:18px;height:18px;border-radius:50%;display:inline-flex;align-items:center;justify-content:center;flex-shrink:0;font-size:13px;font-weight:600;color:#fff}\n#lvm-shell .icn.ok{background:var(--green)}\n#lvm-shell .icn.no{background:var(--red)}\n#lvm-shell .icn.mid{background:var(--amber)}\n#lvm-shell .icn svg{width:11px;height:11px}\n\n#lvm-shell .mini-row{display:grid;grid-template-columns:repeat(3,1fr);gap:22px;margin:28px 0}\n#lvm-shell .mini-phone{position:relative;background:linear-gradient(145deg,#2a2a2a,#0e0e0e);border-radius:22px;padding:3px;border:1px solid rgba(255,255,255,.05);box-shadow:0 14px 32px rgba(0,0,0,.16);max-width:160px;margin:0 auto;width:100%}\n#lvm-shell .mini-phone .notch{position:absolute;top:0;left:50%;transform:translateX(-50%);width:40px;height:11px;background:#0a0a0a;border-radius:0 0 7px 7px;z-index:5}\n#lvm-shell .mini-phone .scr{border-radius:18px;overflow:hidden;background:#FAF0E6;aspect-ratio:9\/19.5}\n#lvm-shell .mini-phone .scr img{width:100%;height:100%;object-fit:cover}\n#lvm-shell .mini-phone.tiny{max-width:148px;padding:2px;border-radius:20px;border-width:1px}\n#lvm-shell .mini-phone.tiny .notch{width:30px;height:8px;border-radius:0 0 5px 5px}\n#lvm-shell .mini-phone.tiny .scr{border-radius:17px}\n#lvm-shell .mini-cap{text-align:center;margin-top:12px;font-family:var(--font-mono);font-size:11px;text-transform:uppercase;letter-spacing:.07em;color:var(--muted)}\n#lvm-shell .mini-cap strong{display:block;color:var(--ink);margin-top:4px;font-family:var(--font-display);font-size:14px;font-weight:500;letter-spacing:-.01em;text-transform:none}\n\n#lvm-shell .duo-row{display:grid;grid-template-columns:repeat(2,1fr);gap:20px;margin:18px 0 0}\n#lvm-shell .duo-row .mini-phone{max-width:180px}\n\n#lvm-shell .method{display:grid;grid-template-columns:1fr 1.4fr;gap:36px;align-items:center;margin:42px 0}\n#lvm-shell .method.flip{grid-template-columns:1.4fr 1fr}\n#lvm-shell .method.flip .m-phone{order:2}\n#lvm-shell .method .m-tag{font-family:var(--font-mono);font-size:11px;font-weight:600;text-transform:uppercase;letter-spacing:.08em;color:var(--pink);margin-bottom:8px}\n#lvm-shell .method h3{margin-top:0}\n#lvm-shell .method p{font-size:16px;color:var(--muted);line-height:1.7}\n\n#lvm-shell .cta-band{margin:40px 0;padding:26px 28px;background:var(--paper);border-radius:16px;display:flex;align-items:center;justify-content:space-between;gap:20px;flex-wrap:wrap;border:1px solid var(--rule-soft)}\n#lvm-shell .cta-band .l{font-family:var(--font-display);font-size:18px;line-height:1.35;font-weight:500;color:var(--ink);flex:1;min-width:240px;letter-spacing:-.01em}\n#lvm-shell .cta-band .stores{display:flex;gap:10px;align-items:center}\n#lvm-shell .cta-band .stores a{line-height:0;transition:transform .15s}\n#lvm-shell .cta-band .stores a:hover{transform:translateY(-2px)}\n#lvm-shell .cta-band .stores img{height:42px;width:auto;border-radius:9px}\n\n#lvm-shell .pyramid{margin:30px auto;max-width:440px}\n#lvm-shell .pyramid .level{margin:6px auto;padding:13px 18px;border-radius:14px;color:#fff;font-family:var(--font-display);font-weight:500;font-size:15px;letter-spacing:-.01em;display:flex;justify-content:space-between;align-items:center;box-shadow:0 6px 18px rgba(0,0,0,.06)}\n#lvm-shell .pyramid .level .k{font-family:var(--font-mono);font-size:10px;text-transform:uppercase;letter-spacing:.08em;opacity:.75}\n#lvm-shell .pyramid .l1{background:#0E0E10;width:100%}\n#lvm-shell .pyramid .l2{background:#1D1D1F;width:84%}\n#lvm-shell .pyramid .l3{background:#3a3a3c;width:68%}\n#lvm-shell .pyramid .l4{background:var(--pink);width:52%}\n#lvm-shell .pyramid-cap{text-align:center;font-size:13px;color:var(--muted);margin-top:14px}\n\n\/* Section 7 honnetete : scorecard horizontal bars *\/\n#lvm-shell .scorecard{margin:30px 0 10px;border:1px solid var(--rule);border-radius:20px;padding:28px 26px;background:#fff}\n#lvm-shell .scorecard-head{display:grid;grid-template-columns:1.4fr 1fr 1fr;column-gap:28px;align-items:center;padding-bottom:18px;margin-bottom:8px;border-bottom:1px solid var(--rule-soft)}\n#lvm-shell .scorecard-head .h-crit{font-family:var(--font-mono);font-size:11px;font-weight:500;text-transform:uppercase;letter-spacing:.08em;color:var(--muted)}\n#lvm-shell .scorecard-head .h-brand{display:flex;align-items:center;gap:8px;font-family:var(--font-display);font-size:14px;font-weight:600;color:var(--ink)}\n#lvm-shell .scorecard-head .h-brand img{width:22px;height:22px;border-radius:5px;object-fit:cover}\n#lvm-shell .scorecard-row{display:grid;grid-template-columns:1.4fr 1fr 1fr;column-gap:28px;align-items:center;padding:14px 0;border-bottom:1px solid var(--rule-soft)}\n#lvm-shell .scorecard-row:last-child{border-bottom:0}\n#lvm-shell .scorecard-row .crit{font-size:14px;color:var(--ink);font-weight:500;padding-right:14px}\n#lvm-shell .scorecard-row .bar{display:flex;flex-direction:row-reverse;align-items:center;gap:10px}\n#lvm-shell .scorecard-row .bar .b{flex:1;height:8px;border-radius:99px;background:var(--rule-soft);overflow:hidden;position:relative}\n#lvm-shell .scorecard-row .bar .b > i{display:block;height:100%;border-radius:99px;transition:width 1s cubic-bezier(.22,.61,.36,1)}\n#lvm-shell .scorecard-row .bar.lean .b > i{background:var(--pink)}\n#lvm-shell .scorecard-row .bar.mfp .b > i{background:var(--mfp)}\n#lvm-shell .scorecard-row .bar .v{font-family:var(--font-mono);font-size:12px;font-weight:600;color:var(--ink);min-width:32px;text-align:left}\n\n\/* Section 8 pour qui : persona checklist *\/\n#lvm-shell .persona{margin:28px 0 10px;display:grid;grid-template-columns:1fr;gap:14px}\n#lvm-shell .persona-it{display:grid;grid-template-columns:54px 1fr;gap:16px;padding:22px 24px;background:#fff;border:1px solid var(--rule);border-radius:18px;align-items:center}\n#lvm-shell .persona-it.match{background:var(--pink-soft);border-color:rgba(255,45,110,.25)}\n#lvm-shell .persona-it .pic{width:54px;height:54px;border-radius:50%;display:flex;align-items:center;justify-content:center;background:var(--rule-soft);position:relative;font-family:var(--font-mono);font-size:13px;font-weight:600;color:var(--ink)}\n#lvm-shell .persona-it.match .pic{background:var(--pink);color:#fff}\n#lvm-shell .persona-it .pic svg{width:24px;height:24px}\n#lvm-shell .persona-it h4{margin:0 0 4px;font-size:17px;letter-spacing:-.01em}\n#lvm-shell .persona-it p{margin:0;font-size:14px;color:var(--muted);line-height:1.55}\n#lvm-shell .persona-it.match h4{color:var(--ink)}\n\n\/* Section 9 migration : timeline steps *\/\n#lvm-shell .steps{display:grid;grid-template-columns:repeat(5,1fr);gap:14px;margin:28px 0;position:relative}\n#lvm-shell .steps::before{content:\"\";position:absolute;top:14px;left:7px;right:calc(20% - 18px);height:1px;background:linear-gradient(90deg,var(--pink) 0%,var(--rule-soft) 100%);z-index:0}\n#lvm-shell .step{position:relative;padding-top:24px;z-index:1}\n#lvm-shell .step::before{content:\"\";position:absolute;top:8px;left:0;width:14px;height:14px;border-radius:50%;background:var(--pink);border:3px solid #fff;box-shadow:0 0 0 1px var(--rule)}\n#lvm-shell .step .sn{font-family:var(--font-mono);font-size:11px;color:var(--pink);font-weight:600;letter-spacing:.08em}\n#lvm-shell .step h4{margin:6px 0 6px;font-size:15px;letter-spacing:-.01em}\n#lvm-shell .step p{font-size:13px;color:var(--muted);line-height:1.5;margin:0}\n\n\/* Section 10 debloque : feature stack numbered XL *\/\n#lvm-shell .feat-stack{margin:30px 0 10px;border-top:1px solid var(--rule)}\n#lvm-shell .feat-it{display:grid;grid-template-columns:auto 1fr auto;gap:24px;padding:26px 0;border-bottom:1px solid var(--rule);align-items:center}\n#lvm-shell .feat-it .fn{font-family:var(--font-display);font-size:48px;font-weight:600;color:var(--pink);line-height:1;letter-spacing:-.04em;width:74px}\n#lvm-shell .feat-it .ft{font-family:var(--font-display);font-size:22px;font-weight:600;color:var(--ink);letter-spacing:-.015em;line-height:1.25;margin-bottom:6px}\n#lvm-shell .feat-it .fd{font-size:15px;color:var(--muted);line-height:1.55;margin:0}\n#lvm-shell .feat-it .fc{font-family:var(--font-mono);font-size:11px;text-transform:uppercase;letter-spacing:.08em;color:var(--muted);font-weight:500}\n#lvm-shell .feat-it:last-child{border-bottom:0}\n\n#lvm-shell .faq{margin:22px 0}\n#lvm-shell .faq details{border-bottom:1px solid var(--rule);padding:20px 0}\n#lvm-shell .faq details:first-of-type{border-top:1px solid var(--rule)}\n#lvm-shell .faq summary{cursor:pointer;list-style:none;display:flex;justify-content:space-between;align-items:center;gap:18px;font-family:var(--font-display);font-size:20px;font-weight:500;letter-spacing:-.015em;color:var(--ink)}\n#lvm-shell .faq summary::-webkit-details-marker{display:none}\n#lvm-shell .faq summary::after{content:\"+\";font-size:24px;color:var(--muted);font-weight:300;line-height:1;transition:transform .25s, color .25s}\n#lvm-shell .faq details[open] summary::after{transform:rotate(45deg);color:var(--pink)}\n#lvm-shell .faq details[open] summary{color:var(--pink)}\n#lvm-shell .faq .ans{margin-top:14px;font-size:16px;color:var(--muted);line-height:1.65}\n\n#lvm-shell .get-band{background:var(--paper-2);border-radius:24px;padding:48px 36px;margin:60px 0 40px;text-align:center}\n#lvm-shell .get-band .kicker{font-family:var(--font-mono);font-size:11px;text-transform:uppercase;color:var(--pink);font-weight:600;letter-spacing:.1em;margin-bottom:14px}\n#lvm-shell .get-band h3{font-size:36px;margin:0 0 14px;letter-spacing:-.025em}\n#lvm-shell .get-band p{font-size:16px;color:var(--muted);max-width:480px;margin:0 auto 26px}\n#lvm-shell .get-band .stores{display:flex;justify-content:center;gap:14px;flex-wrap:wrap}\n#lvm-shell .get-band .stores a{line-height:0;transition:transform .15s}\n#lvm-shell .get-band .stores a:hover{transform:translateY(-3px)}\n#lvm-shell .get-band .stores img{height:60px;width:auto;border-radius:11px}\n\n#lvm-shell .sources{font-size:14px;color:var(--muted);line-height:1.7}\n#lvm-shell .sources ol{padding-left:22px}\n#lvm-shell .sources li{margin-bottom:8px}\n\n#lvm-shell footer{padding:50px 0 60px;border-top:1px solid var(--rule);margin-top:40px}\n#lvm-shell footer .row{display:flex;justify-content:space-between;align-items:center;gap:18px;flex-wrap:wrap}\n#lvm-shell footer .kicker{font-family:var(--font-mono);font-size:11px;text-transform:uppercase;letter-spacing:.08em;color:var(--pink);font-weight:600}\n#lvm-shell footer p{font-size:13px;color:var(--muted);margin:8px 0 0}\n#lvm-shell footer .stores{display:flex;gap:8px}\n#lvm-shell footer .stores img{height:34px;width:auto;border-radius:6px}\n\n#lvm-shell .rev{opacity:0;transform:translateY(12px);transition:opacity .8s cubic-bezier(.22,.61,.36,1),transform .8s cubic-bezier(.22,.61,.36,1)}\n#lvm-shell .rev.on{opacity:1;transform:translateY(0)}\n@media (prefers-reduced-motion:reduce){#lvm-shell .rev{transition:none;opacity:1;transform:none}}\n\n@media (max-width:760px){\n  #lvm-shell .nav-row{padding:8px 18px;gap:8px}\n  #lvm-shell .nav-link{display:none}\n  #lvm-shell .nav-stores img{height:24px}\n  #lvm-shell .wrap{padding:0 22px}\n  #lvm-shell .hero{padding:34px 0 0}\n  #lvm-shell h1{font-size:46px;letter-spacing:-.035em}\n  #lvm-shell h1 .alt{font-size:.55em;margin-top:10px}\n  #lvm-shell .dek{font-size:20px}\n  #lvm-shell .hero-stores img{height:42px}\n  #lvm-shell .hero-bottom{grid-template-columns:1fr;gap:28px;margin:30px 0 40px;padding-top:24px;align-items:stretch}\n  #lvm-shell .phone-wrap{order:-1}\n  #lvm-shell .phone{width:240px}\n  #lvm-shell .tap-hint.desktop{display:none}\n  #lvm-shell .tap-hint.mobile{display:block;position:relative;left:auto;top:auto;text-align:center;margin:0 auto 10px;width:100%}\n  #lvm-shell .tap-hint.mobile .th-arrow{position:relative;display:block;margin:6px auto 0;width:34px;height:34px;transform:none;color:var(--pink)}\n  #lvm-shell .snippet{padding:24px 22px}\n  #lvm-shell .snippet p{font-size:18px}\n  #lvm-shell section{padding:48px 0}\n  #lvm-shell h2{font-size:34px;letter-spacing:-.03em}\n  #lvm-shell h3{font-size:24px}\n  #lvm-shell .section-label{margin-bottom:22px}\n  #lvm-shell .statement{padding:24px 0;margin:32px 0}\n  #lvm-shell .statement .num{font-size:44px}\n  #lvm-shell .statement .lbl{font-size:19px}\n  #lvm-shell .fig{padding:20px 14px 14px;border-radius:16px}\n  #lvm-shell .cv-wrap{height:310px}\n  #lvm-shell .method{grid-template-columns:1fr;gap:20px}\n  #lvm-shell .method.flip{grid-template-columns:1fr}\n  #lvm-shell .method.flip .m-phone{order:0}\n  #lvm-shell .mini-row{grid-template-columns:repeat(3,1fr);gap:10px}\n  #lvm-shell .mini-phone{padding:3px;border-radius:18px;border-width:1px;max-width:110px}\n  #lvm-shell .mini-phone .notch{width:42px;height:11px;border-radius:0 0 8px 8px}\n  #lvm-shell .mini-phone .scr{border-radius:15px}\n  #lvm-shell .mini-cap{font-size:10px}\n  #lvm-shell .mini-cap strong{font-size:13px}\n  #lvm-shell .duo-row{grid-template-columns:repeat(2,1fr);gap:12px}\n  #lvm-shell .duo-row .mini-phone{max-width:130px}\n  #lvm-shell .steps{grid-template-columns:1fr;gap:18px}\n  #lvm-shell .steps::before{display:none}\n  #lvm-shell .step{padding-top:0;padding-left:24px}\n  #lvm-shell .step::before{top:6px;left:0}\n  #lvm-shell .table-row{grid-template-columns:1.4fr .9fr .9fr}\n  #lvm-shell .table-row > .crit{padding:13px 12px;font-size:13px}\n  #lvm-shell .table-row > .cell{padding:13px 10px;font-size:12px;gap:8px}\n  #lvm-shell .table-row.head > div{padding:14px 12px;font-size:10px;gap:7px}\n  #lvm-shell .table-row.head .brand-cell img{width:20px;height:20px}\n  #lvm-shell .get-band{padding:36px 22px;border-radius:18px;margin:40px 0 30px}\n  #lvm-shell .get-band h3{font-size:28px}\n  #lvm-shell .get-band .stores img{height:50px}\n  #lvm-shell .cta-band{padding:22px;gap:14px}\n  #lvm-shell .cta-band .l{font-size:16px;min-width:0}\n  #lvm-shell .cta-band .stores img{height:38px}\n  #lvm-shell .faq summary{font-size:18px;gap:14px}\n  #lvm-shell .pyramid{max-width:100%}\n  #lvm-shell .pyramid .level{padding:11px 14px;font-size:14px}\n  #lvm-shell .scorecard{padding:20px 16px;border-radius:16px}\n  #lvm-shell .scorecard-head{grid-template-columns:1.2fr 1fr 1fr;column-gap:14px}\n  #lvm-shell .scorecard-head .h-brand{font-size:12px;gap:5px}\n  #lvm-shell .scorecard-head .h-brand img{width:18px;height:18px}\n  #lvm-shell .scorecard-row{grid-template-columns:1.2fr 1fr 1fr;column-gap:14px;padding:12px 0}\n  #lvm-shell .scorecard-row .crit{font-size:13px;padding-right:8px}\n  #lvm-shell .scorecard-row .bar{gap:6px}\n  #lvm-shell .scorecard-row .bar .v{font-size:11px;min-width:26px}\n  #lvm-shell .persona-it{grid-template-columns:44px 1fr;gap:12px;padding:16px 16px;border-radius:14px}\n  #lvm-shell .persona-it .pic{width:44px;height:44px;font-size:12px}\n  #lvm-shell .persona-it h4{font-size:15px}\n  #lvm-shell .persona-it p{font-size:13px}\n  #lvm-shell .feat-it{grid-template-columns:auto 1fr;gap:14px;padding:20px 0}\n  #lvm-shell .feat-it .fn{font-size:36px;width:54px}\n  #lvm-shell .feat-it .ft{font-size:18px}\n  #lvm-shell .feat-it .fd{font-size:13px}\n  #lvm-shell .feat-it .fc{display:none}\n}\n@media (max-width:480px){\n  #lvm-shell .phone-tabs{gap:5px}\n  #lvm-shell .phone-tabs button{padding:5px 8px;font-size:10px}\n  #lvm-shell .nav-stores{gap:4px}\n  #lvm-shell .nav-stores img{height:22px}\n  #lvm-shell .hero-stores img{height:40px}\n  #lvm-shell .crumb{font-size:12px}\n  #lvm-shell .table-row{grid-template-columns:1.3fr .85fr .85fr}\n  #lvm-shell .table-row > .crit{padding:11px 9px;font-size:12px}\n  #lvm-shell .table-row > .cell{padding:11px 8px;font-size:11px;gap:6px}\n  #lvm-shell .table-row.head > div{padding:11px 9px;font-size:9px;gap:5px}\n}\n\/* === Etude OFF === *\/\n#lvm-shell .bignum{font-family:var(--font-display);font-weight:600;font-size:88px;letter-spacing:-.045em;line-height:1;color:var(--pink);margin:8px 0 4px;font-variant-numeric:tabular-nums}\n#lvm-shell .bignum small{display:block;font-size:20px;color:var(--muted);font-weight:500;letter-spacing:-.01em;margin-top:10px;line-height:1.4}\n#lvm-shell .stat-grid{display:grid;grid-template-columns:repeat(3,1fr);gap:14px;margin:30px 0}\n#lvm-shell .stat-card{background:var(--paper);border:1px solid var(--rule-soft);border-radius:16px;padding:22px 20px}\n#lvm-shell .stat-card .n{font-family:var(--font-display);font-weight:600;font-size:34px;letter-spacing:-.03em;color:var(--ink);font-variant-numeric:tabular-nums}\n#lvm-shell .stat-card .n.pink{color:var(--pink)}\n#lvm-shell .stat-card .t{font-size:13.5px;color:var(--muted);margin-top:6px;line-height:1.5}\n#lvm-shell .metho{background:var(--paper);border:1px solid var(--rule-soft);border-left:4px solid var(--pink);border-radius:0 16px 16px 0;padding:24px 26px;margin:30px 0}\n#lvm-shell .metho h3{font-family:var(--font-display);font-size:17px;font-weight:600;margin:0 0 12px;letter-spacing:-.01em}\n#lvm-shell .metho ul{margin:0;padding-left:20px;font-size:15px;color:var(--muted);line-height:1.7}\n#lvm-shell .metho li{margin:4px 0}\n#lvm-shell .metho code{font-family:var(--font-mono);font-size:13.5px;background:var(--paper-2);padding:1px 6px;border-radius:5px;color:var(--ink-2)}\n#lvm-shell .prod-cards{display:grid;gap:14px;margin:28px 0}\n#lvm-shell .prod-card{display:flex;align-items:center;gap:18px;background:var(--paper);border:1px solid var(--rule-soft);border-radius:16px;padding:18px 22px;flex-wrap:wrap}\n#lvm-shell .prod-card .who{flex:1;min-width:200px}\n#lvm-shell .prod-card .who b{font-family:var(--font-display);font-size:16.5px;letter-spacing:-.01em;color:var(--ink);display:block}\n#lvm-shell .prod-card .who span{font-size:13px;color:var(--muted)}\n#lvm-shell .prod-card .vals{display:flex;align-items:center;gap:14px;font-variant-numeric:tabular-nums}\n#lvm-shell .prod-card .fiche{font-family:var(--font-display);font-size:24px;font-weight:600;color:var(--ink);letter-spacing:-.02em}\n#lvm-shell .prod-card .fleche{color:var(--dim);font-size:17px}\n#lvm-shell .prod-card .reel{font-family:var(--font-display);font-size:24px;font-weight:600;color:var(--pink);letter-spacing:-.02em}\n#lvm-shell .prod-card .unit{font-size:11.5px;color:var(--dim);display:block;text-align:center;font-family:var(--font-mono);text-transform:uppercase;letter-spacing:.05em;margin-top:2px}\n@media (max-width:640px){\n  #lvm-shell .bignum{font-size:56px}\n  #lvm-shell .bignum small{font-size:16px}\n  #lvm-shell .stat-grid{grid-template-columns:1fr}\n  #lvm-shell .prod-card .fiche, #lvm-shell .prod-card .reel{font-size:20px}\n  #lvm-shell .cta-band{flex-direction:column;align-items:flex-start}\n  #lvm-shell .cta-band .l{min-width:100%;flex:none}\n}\n<\/style>\n\n<style id=\"lvm-collision-reset\">\nbody.postid-1947 #lvm-shell .hero{display:block!important;align-items:initial!important;justify-content:initial!important;text-align:left!important;flex-direction:initial!important;padding:54px 0 0!important}\nbody.postid-1947 #lvm-shell .wrap,\nbody.postid-1947 #lvm-shell main.wrap{display:block!important;max-width:760px!important;margin-left:auto!important;margin-right:auto!important;padding-left:28px!important;padding-right:28px!important}\n@media (max-width:820px){\n  body.postid-1947 #lvm-shell .wrap,\n  body.postid-1947 #lvm-shell main.wrap{padding-left:18px!important;padding-right:18px!important}\n}\nhtml, body{overflow-x:hidden!important}\nbody.postid-1947 #lvm-shell{overflow-x:hidden;max-width:100vw}\nbody.postid-1947 #lvm-shell *{max-width:100%}\nbody.postid-1947 #lvm-shell .nav-row{max-width:100vw;box-sizing:border-box}\nbody.postid-1947 #lvm-shell.force-show .rev{opacity:1!important;transform:none!important}\n@media (max-width:760px){\n  body.postid-1947 #lvm-shell .cta-band{flex-direction:column!important;align-items:center!important;text-align:center!important;padding:26px 22px!important;gap:20px!important}\n  body.postid-1947 #lvm-shell .cta-band .l{min-width:0!important;width:100%!important;font-size:16px!important;line-height:1.5!important;text-align:center!important}\n  body.postid-1947 #lvm-shell .cta-band .stores{width:100%!important;justify-content:center!important;flex-wrap:nowrap!important;gap:10px!important}\n  body.postid-1947 #lvm-shell .cta-band .stores a{flex:1!important;max-width:170px!important;display:flex!important;justify-content:center!important}\n  body.postid-1947 #lvm-shell .cta-band .stores img{height:56px!important;width:100%!important;max-width:170px!important;object-fit:contain!important;object-position:center!important;border-radius:10px!important}\n}\n<\/style>\n<div id=\"lvm-shell\">\n<div class=\"progress\" aria-hidden=\"true\"><i id=\"progBar\"><\/i><\/div>\n\n<header class=\"nav\">\n  <div class=\"nav-row\">\n    <a class=\"nav-brand\" href=\"https:\/\/lean-app.com\/fi\/\" aria-label=\"Lean-etusivu\">\n      <img src=\"https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-logo-lean-square-scaled.webp\" alt=\"\" width=\"512\" height=\"512\" loading=\"lazy\" decoding=\"async\" \/>\n      <span>Lean<\/span>\n    <\/a>\n    <span class=\"nav-spacer\"><\/span>\n    <a class=\"nav-link\" href=\"https:\/\/lean-app.com\/fi\/tdee-calculator\/\">TDEE-laskuri<\/a>\n    <div class=\"nav-stores\">\n      <a href=\"https:\/\/apps.apple.com\/fr\/app\/lean-calorie-ai-podometre\/id6738668646?utm_source=seo&#038;utm_medium=blog&#038;utm_campaign=etude-off\" target=\"_blank\" rel=\"noopener\" aria-label=\"Lataa App Storesta\">\n        <img src=\"https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-appstore-official.webp\" alt=\"App Store\" width=\"413\" height=\"122\" loading=\"lazy\" decoding=\"async\" \/>\n      <\/a>\n      <a href=\"https:\/\/play.google.com\/store\/apps\/details?id=com.lean.testsqflite&#038;utm_source=seo&#038;utm_medium=blog&#038;utm_campaign=etude-off\" target=\"_blank\" rel=\"noopener\" aria-label=\"Saatavilla Google Playsta\">\n        <img src=\"https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-googleplay-official.webp\" alt=\"Google Play\" width=\"315\" height=\"95\" loading=\"lazy\" decoding=\"async\" \/>\n      <\/a>\n    <\/div>\n  <\/div>\n<\/header>\n\n<main class=\"wrap\">\n\n<section class=\"hero\" aria-labelledby=\"title\">\n  <div class=\"crumb\"><a href=\"https:\/\/lean-app.com\/fi\/\">Etusivu<\/a> &nbsp;\/&nbsp; Kaloritietokantatutkimus<\/div>\n  <div class=\"eyebrow\">Alkuper\u00e4inen tutkimus &middot; Julkinen data<\/div>\n  <h1 id=\"title\">857&nbsp;655 analysoitua tuotetta.\n    <span class=\"alt\">Mit\u00e4 kaloriskannerisi ei kerro sinulle.<\/span>\n  <\/h1>\n  <p class=\"dek\">Jokainen viivakoodiskannaus Ranskassa kysyy samaa tietokantaa. Analysoimme sen kokonaan. Yli yksi skannaus kolmesta palauttaa puuttuvan, ep\u00e4t\u00e4ydellisen tai ep\u00e4johdonmukaisen tiedon.<\/p>\n  <div class=\"byline\">\n    <img class=\"by-logo\" src=\"https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-logo-lean-square-scaled.webp\" alt=\"\" width=\"26\" height=\"26\" loading=\"lazy\" decoding=\"async\" \/>\n    <span>Tekij\u00e4 <strong>Lean-tiimi<\/strong> &middot; julkaistu 24.8.2026 &middot; lukuaika 7 min<\/span>\n  <\/div>\n  <div class=\"hero-stores\">\n    <a href=\"https:\/\/apps.apple.com\/fr\/app\/lean-calorie-ai-podometre\/id6738668646?utm_source=seo&#038;utm_medium=blog&#038;utm_campaign=etude-off\" target=\"_blank\" rel=\"noopener\" aria-label=\"Lataa Lean App Storesta\">\n      <img src=\"https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-appstore-official.webp\" alt=\"T\u00e9l\u00e9charger sur l'App Store\" width=\"413\" height=\"122\" loading=\"lazy\" decoding=\"async\" \/>\n    <\/a>\n    <a href=\"https:\/\/play.google.com\/store\/apps\/details?id=com.lean.testsqflite&#038;utm_source=seo&#038;utm_medium=blog&#038;utm_campaign=etude-off\" target=\"_blank\" rel=\"noopener\" aria-label=\"Lataa Lean Google Playsta\">\n      <img src=\"https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-googleplay-official.webp\" alt=\"Disponible sur Google Play\" width=\"315\" height=\"95\" loading=\"lazy\" decoding=\"async\" \/>\n    <\/a>\n  <\/div>\n<\/section>\n\n<section aria-labelledby=\"s1\" class=\"rev\">\n  <div class=\"section-label\"><span class=\"bar\"><\/span><span class=\"num\">01<\/span><\/div>\n  <h2 id=\"s1\">Miksi t\u00e4m\u00e4 tutkimus<\/h2>\n  <p>Kun skannaat viivakoodin kaloritrackerissa Ranskassa, MyFitnessPal, Yazio, Lifesum tai Lean, tieto tulee suunnilleen samasta l\u00e4hteest\u00e4: <a href=\"https:\/\/world.openfoodfacts.org\/\" target=\"_blank\" rel=\"noopener\">OpenFoodFacts<\/a>, loistava ranskalainen yhteisty\u00f6tietokanta avoimella ODbL-lisenssill\u00e4. Miljoonia tuotekortteja, vapaaehtoisten kontribuuttorien t\u00e4ytt\u00e4mi\u00e4.<\/p>\n  <p>Yhteisty\u00f6tietokanta on sen vahvuus ja rajoitus: kuka tahansa voi luoda tai muokata tuotekortin, eik\u00e4 kukaan tarkista systemaattisesti. Kukaan ei ollut mitannut skannauksesi palauttaman tiedon todellista luotettavuutta. Latasimme siis 23.8.2026 t\u00e4ydellisen julkisen dumpin ja testasimme jokaisen Ranskassa myydyn tuotteen.<\/p>\n  <div class=\"stat-grid\">\n    <div class=\"stat-card\"><div class=\"n\">4 535 553<\/div><div class=\"t\">tuotetta maailmanlaajuisessa tietokannassa 23.8.2026<\/div><\/div>\n    <div class=\"stat-card\"><div class=\"n\">1 265 726<\/div><div class=\"t\">tuotetta merkitty Ranskassa myydyiksi<\/div><\/div>\n    <div class=\"stat-card\"><div class=\"n pink\">857 655<\/div><div class=\"t\">analysoitavaa tuotetta: kalorit ja 3 makroa t\u00e4ytetty<\/div><\/div>\n  <\/div>\n<\/section>\n\n<section aria-labelledby=\"s2\" class=\"rev\">\n  <div class=\"section-label\"><span class=\"bar\"><\/span><span class=\"num\">02<\/span><\/div>\n  <h2 id=\"s2\">Menetelm\u00e4: jokainen tuotekortti testattu itse\u00e4\u00e4n vastaan<\/h2>\n  <p>V\u00e4\u00e4r\u00e4n tuotekortin havaitsemiseen ei tarvita laboratoriota: riitt\u00e4\u00e4 verrata sit\u00e4 itseens\u00e4. Ruoka-aineen kalorit johdetaan sen makroravinteista Atwaterin kertoimilla, juuri niill\u00e4, joita eurooppalainen INCO-asetus vaatii teollisuudelta: 4&nbsp;kcal grammaa proteiinia kohti, 4 grammaa hiilihydraattia kohti, 9 grammaa rasvaa kohti.<\/p>\n  <p>Jos tuotekortti n\u00e4ytt\u00e4\u00e4 100&nbsp;kcal mutta sen omat makrot antavat 250, toinen kahdesta rivist\u00e4 on v\u00e4\u00e4r\u00e4. Ja sovelluksesi n\u00e4ytt\u00e4\u00e4 sinulle toisen niist\u00e4 silm\u00e4\u00e4k\u00e4\u00e4n r\u00e4p\u00e4ytt\u00e4m\u00e4tt\u00e4.<\/p>\n  <div class=\"metho\">\n    <h3>T\u00e4ydellinen menetelm\u00e4<\/h3>\n    <ul>\n      <li>Virallinen OpenFoodFacts-dumppi 23.8.2026 (ODbL-lisenssi), Ranskan alue<\/li>\n      <li>Uudelleenlaskenta: <code>4&times;proteiinit + 4&times;hiilihydraatit + 9&times;rasvat<\/code>, plus 7&nbsp;kcal\/g alkoholia, 2&nbsp;kcal\/g kuitua ja 2,4&nbsp;kcal\/g polyoleja (erytritoli: 0), INCO-asetuksen 1169\/2011 mukaisesti<\/li>\n      <li>Tuotekortti laskettu ep\u00e4johdonmukaiseksi vain, jos ero ylitt\u00e4\u00e4 sek\u00e4 10&nbsp;% ett\u00e4 30&nbsp;kcal\/100g: 2&nbsp;kcal:n vesien ja teiden kohina on suljettu pois<\/li>\n      <li>16 364 poikkeavaa tuotekorttia hyl\u00e4tty (kalorit 1\u2013950&nbsp;kcal\/100g ulkopuolella, mahdottomat makrot)<\/li>\n      <li>Jokainen t\u00e4ll\u00e4 sivulla mainittu esimerkki on tarkistettu uudelleen verkkotuotekortista julkaisup\u00e4iv\u00e4n\u00e4<\/li>\n    <\/ul>\n  <\/div>\n<\/section>\n\n<section aria-labelledby=\"s3\" class=\"rev\">\n  <div class=\"section-label\"><span class=\"bar\"><\/span><span class=\"num\">03<\/span><\/div>\n  <h2 id=\"s3\">Tulos 1: l\u00e4hes 1 tuotekortti 3:sta on ep\u00e4t\u00e4ydellinen<\/h2>\n  <div class=\"bignum\">31 %<small>FR-tuotteista ilman t\u00e4ydellisi\u00e4 tietoja<\/small><\/div>\n  <p>391 707 Ranskassa myydyll\u00e4 tuotteella ei ole kaloreita t\u00e4ytettyn\u00e4 tai ei niiden kolmea makroravinnetta. Konkreettisesti: skannaat, ja sovellus n\u00e4ytt\u00e4\u00e4 0&nbsp;kcal, tai kaloreita ilman proteiineja tai hiilihydraatteja. Sinulla on tunne seurannasta, kirjaat tyhj\u00e4\u00e4.<\/p>\n  <figure class=\"fig rev\">\n    <div class=\"cv-wrap\" style=\"position:relative;width:100%;height:400px;min-height:360px\"><canvas id=\"chartDonut\" aria-label=\"1 265 726 ranskalaisen tuotteen jakauma tuotekortin luotettavuuden mukaan\" role=\"img\"><\/canvas><\/div>\n    <figcaption>Skannauksen kohtalo Ranskassa, 1 265 726 tuotteella.<\/figcaption>\n  <\/figure>\n  <p>Se on salakavalin virhe, koska se ei n\u00e4yt\u00e4 virheelt\u00e4: tuotekortti n\u00e4kyy, tuotteella on nimi, kuva. Vain olennainen puuttuu.<\/p>\n<\/section>\n\n<section aria-labelledby=\"s4\" class=\"rev\">\n  <div class=\"section-label\"><span class=\"bar\"><\/span><span class=\"num\">04<\/span><\/div>\n  <h2 id=\"s4\">Tulos 2: 46 757 tuotetta ep\u00e4johdonmukaisilla kaloreilla<\/h2>\n  <p>857 655 t\u00e4ydellisest\u00e4 tuotekortista 46 757 n\u00e4ytt\u00e4\u00e4 kaloreita, jotka ovat yhteensopimattomia niiden omien makrojen kanssa, v\u00e4hint\u00e4\u00e4n 10&nbsp;% ja 30&nbsp;kcal 100&nbsp;g:aa kohti. Jokainen piste alla olevassa kuvaajassa on oikea tuote: x-akselilla se, mit\u00e4 tuotekortti ilmoittaa, y-akselilla se, mit\u00e4 sen makrot antavat. Rehellinen tuotekortti osuu diagonaalille.<\/p>\n  <figure class=\"fig rev\">\n    <div class=\"cv-wrap\" style=\"position:relative;width:100%;height:460px;min-height:420px\"><canvas id=\"chartScatter\" aria-label=\"Ilmoitetut kalorit vastaan uudelleen lasketut kalorit, 1 370 tuotteen otos\" role=\"img\"><\/canvas><\/div>\n    <figcaption>1 370 oikeaa tuotetta: ilmoitettu vs makroista uudelleen laskettu.<\/figcaption>\n  <\/figure>\n  <p>Erojen jakauma osoittaa, ett\u00e4 tietokanta on massiivisesti oikea, ja l\u00e4htee sitten pitk\u00e4\u00e4n h\u00e4nt\u00e4\u00e4n: v\u00e4\u00e4r\u00e4t tuotekortit eiv\u00e4t ole hieman v\u00e4\u00e4ri\u00e4, ne ovat hyvin v\u00e4\u00e4ri\u00e4.<\/p>\n  <figure class=\"fig rev\">\n    <div class=\"cv-wrap\" style=\"position:relative;width:100%;height:360px;min-height:320px\"><canvas id=\"chartHisto\" aria-label=\"Suhteellisten erojen jakauma ilmoitettujen ja uudelleen laskettujen kalorien v\u00e4lill\u00e4\" role=\"img\"><\/canvas><\/div>\n    <figcaption>Erojen jakauma, logaritminen asteikko.<\/figcaption>\n  <\/figure>\n  <figure class=\"fig rev\">\n    <div class=\"cv-wrap\" style=\"position:relative;width:100%;height:360px;min-height:320px\"><canvas id=\"chartSeuils\" aria-label=\"Ep\u00e4johdonmukaiset tuotteet erokynnyksen mukaan\" role=\"img\"><\/canvas><\/div>\n    <figcaption>Ep\u00e4johdonmukaiset tuotteet erokynnyksen mukaan, perusta 857 655 tuotekorttia.<\/figcaption>\n  <\/figure>\n  <p>18 251 tuotetta, eli kaksi materiaalisesti ep\u00e4johdonmukaista viidest\u00e4, erehtyy <em>yksinkertaisesta kaksinkertaiseen tai enemm\u00e4n<\/em>. T\u00e4ll\u00e4 tasolla se ei ole en\u00e4\u00e4 ep\u00e4tarkkuutta, se on tieto, joka k\u00e4\u00e4nt\u00e4\u00e4 p\u00e4iv\u00e4n kaloritaseesi.<\/p>\n  <p>Kun lasketaan yhteen ep\u00e4t\u00e4ydelliset ja ep\u00e4johdonmukaiset tuotekortit: <strong>yli yksi skannaus kolmesta Ranskassa palauttaa puuttuvan, ep\u00e4t\u00e4ydellisen tai ep\u00e4johdonmukaisen tiedon<\/strong>.<\/p>\n<\/section>\n\n<section aria-labelledby=\"s5\" class=\"rev\">\n  <div class=\"section-label\"><span class=\"bar\"><\/span><span class=\"num\">05<\/span><\/div>\n  <h2 id=\"s5\">Tuotteita, joita sinulla on kaapissasi<\/h2>\n  <p>Jokainen alla oleva tuotekortti on tarkistettu uudelleen verkossa julkaisup\u00e4iv\u00e4n\u00e4. Vasemmalla se, mit\u00e4 OpenFoodFacts-tuotekortti n\u00e4ytt\u00e4\u00e4, oikealla se, mit\u00e4 sen omat makrot antavat:<\/p>\n  <div class=\"prod-cards\">\n    <div class=\"prod-card\"><div class=\"who\"><b>Le Beurre Tendre<\/b><span>Elle&amp;Vire-tuotteen tuotekortti &middot; 535 skannausta<\/span><\/div><div class=\"vals\"><span><span class=\"fiche\">375<\/span><span class=\"unit\">tuotekortti<\/span><\/span><span class=\"fleche\">&rarr;<\/span><span><span class=\"reel\">744<\/span><span class=\"unit\">makrot<\/span><\/span><\/div><\/div>\n    <div class=\"prod-card\"><div class=\"who\"><b>Yaos kreikkalainen jogurtti<\/b><span>Nestl\u00e9-tuotteen tuotekortti &middot; 271 skannausta<\/span><\/div><div class=\"vals\"><span><span class=\"fiche\">50<\/span><span class=\"unit\">tuotekortti<\/span><\/span><span class=\"fleche\">&rarr;<\/span><span><span class=\"reel\">98<\/span><span class=\"unit\">makrot<\/span><\/span><\/div><\/div>\n    <div class=\"prod-card\"><div class=\"who\"><b>Sweet &amp; Salty Nut suklaa<\/b><span>Nature Valley -tuotteen tuotekortti &middot; 338 skannausta<\/span><\/div><div class=\"vals\"><span><span class=\"fiche\">647<\/span><span class=\"unit\">tuotekortti<\/span><\/span><span class=\"fleche\">&rarr;<\/span><span><span class=\"reel\">140<\/span><span class=\"unit\">makrot<\/span><\/span><\/div><\/div>\n    <div class=\"prod-card\"><div class=\"who\"><b>Provencelainen ratatouille<\/b><span>Cassegrain-tuotteen tuotekortti &middot; 298 skannausta<\/span><\/div><div class=\"vals\"><span><span class=\"fiche\">38<\/span><span class=\"unit\">tuotekortti<\/span><\/span><span class=\"fleche\">&rarr;<\/span><span><span class=\"reel\">72<\/span><span class=\"unit\">makrot<\/span><\/span><\/div><\/div>\n  <\/div>\n  <p>Koulukirjaesimerkki: Raynal &amp; Roquelauren auvergnelaiset linssit ovat olemassa <strong>kahtena eri tuotekorttina<\/strong>. Toinen n\u00e4ytt\u00e4\u00e4 48&nbsp;kcal\/100g, toinen 207. Todellinen arvo on noin 99. Sen mukaan, mink\u00e4 viivakoodin sovelluksesi nappaa, luulet sy\u00f6v\u00e4si kaksi kertaa v\u00e4hemm\u00e4n tai kaksi kertaa enemm\u00e4n kuin todellisuudessa.<\/p>\n  <p>K\u00e4ytt\u00e4j\u00e4, joka levitt\u00e4\u00e4 30&nbsp;g yll\u00e4 olevaa voita, alilaskee 110&nbsp;kcal. Joka p\u00e4iv\u00e4. Luullen tekev\u00e4ns\u00e4 oikein.<\/p>\n  <div class=\"cta-band rev\">\n    <div class=\"l\">Lean tarkistaa tuotekorttien johdonmukaisuuden ja skannaa my\u00f6s lautasesi kuvasta, riippumatta viivakoodista.<\/div>\n    <div class=\"stores\">\n      <a href=\"https:\/\/apps.apple.com\/fr\/app\/lean-calorie-ai-podometre\/id6738668646?utm_source=seo&#038;utm_medium=blog&#038;utm_campaign=etude-off\" target=\"_blank\" rel=\"noopener\"><img src=\"https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-appstore-official.webp\" alt=\"App Store\" width=\"413\" height=\"122\" loading=\"lazy\" decoding=\"async\" \/><\/a>\n      <a href=\"https:\/\/play.google.com\/store\/apps\/details?id=com.lean.testsqflite&#038;utm_source=seo&#038;utm_medium=blog&#038;utm_campaign=etude-off\" target=\"_blank\" rel=\"noopener\"><img src=\"https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-googleplay-official.webp\" alt=\"Google Play\" width=\"315\" height=\"95\" loading=\"lazy\" decoding=\"async\" \/><\/a>\n    <\/div>\n  <\/div>\n<\/section>\n\n<section aria-labelledby=\"s6\" class=\"rev\">\n  <div class=\"section-label\"><span class=\"bar\"><\/span><span class=\"num\">06<\/span><\/div>\n  <h2 id=\"s6\">Eniten k\u00e4rsineet luokat<\/h2>\n  <p>Ep\u00e4johdonmukaisuus ei jakaudu sattumanvaraisesti, ja luokituksen ironia on julma: koko tietokannan eniten k\u00e4rsinyt luokka on se, jota urheilijat seuraavat eniten. <strong>Yli yhdell\u00e4 proteiinipatukalla viidest\u00e4 (20,8&nbsp;%) on ep\u00e4johdonmukainen tuotekortti.<\/strong><\/p>\n  <figure class=\"fig rev\">\n    <div class=\"cv-wrap\" style=\"position:relative;width:100%;height:460px;min-height:420px\"><canvas id=\"chartBubble\" aria-label=\"Luokat: tuotem\u00e4\u00e4r\u00e4, ep\u00e4johdonmukaisten tuotekorttien osuus ja m\u00e4\u00e4r\u00e4\" role=\"img\"><\/canvas><\/div>\n    <figcaption>Jokainen kupla on luokka; sen koko, sen ep\u00e4johdonmukaiset tuotekortit.<\/figcaption>\n  <\/figure>\n  <p>Monimutkaiset reseptit ja t\u00e4ydennetyt tuotteet keskitt\u00e4v\u00e4t virheet: proteiinipatukat, makeiset, karkit, juustot. Yksinkertaiset tuotteet p\u00e4rj\u00e4\u00e4v\u00e4t paremmin.<\/p>\n  <figure class=\"fig rev\">\n    <div class=\"cv-wrap\" style=\"position:relative;width:100%;height:380px;min-height:340px\"><canvas id=\"chartCats\" aria-label=\"Ep\u00e4johdonmukaisuusaste luokittain\" role=\"img\"><\/canvas><\/div>\n    <figcaption>Ep\u00e4johdonmukaisten tuotekorttien osuus luokittain (v\u00e4h. 1 000 tuotetta).<\/figcaption>\n  <\/figure>\n  <p>Rehellisyyshuomautus: karkit, makeiset ja patukat selittyv\u00e4t osittain makeutusaineilla. Kun tuotekortti ei ilmoita polyolejaan, uudelleenlaskenta yliarvioi eron. Korjasimme kaiken ilmoitetun; j\u00e4\u00e4nn\u00f6s heijastaa my\u00f6s t\u00e4t\u00e4 ilmoitusaukkoa, joka harhauttaa sovellustasi t\u00e4sm\u00e4lleen samalla tavalla.<\/p>\n<\/section>\n\n<section aria-labelledby=\"s7\" class=\"rev\">\n  <div class=\"section-label\"><span class=\"bar\"><\/span><span class=\"num\">07<\/span><\/div>\n  <h2 id=\"s7\">Mit\u00e4 se muuttaa seurannassasi<\/h2>\n  <p>Ensin, mit\u00e4 se ei tarkoita: skannaamista ei pid\u00e4 lopettaa, ja OpenFoodFacts on yh\u00e4 merkitt\u00e4v\u00e4 projekti, joka el\u00e4\u00e4 ja korjautuu jatkuvasti. Alla oleva k\u00e4yr\u00e4 osoittaa sen: vuosina 2020\u20132021 luodut tuotekortit ovat v\u00e4hiten luotettavia (jopa 7,5&nbsp;% ep\u00e4johdonmukaisuutta), ja laatu on selv\u00e4sti parantunut vuodesta 2023.<\/p>\n  <figure class=\"fig rev\">\n    <div class=\"cv-wrap\" style=\"position:relative;width:100%;height:340px;min-height:300px\"><canvas id=\"chartYears\" aria-label=\"Ep\u00e4johdonmukaisten tuotekorttien osuus luontivuoden mukaan\" role=\"img\"><\/canvas><\/div>\n    <figcaption>Ep\u00e4johdonmukaisuusaste tuotekortin luontivuoden mukaan.<\/figcaption>\n  <\/figure>\n  <p>Nelj\u00e4 dumpin kuudesta pahimmasta tuotekortista oli jo korjattu verkossa tarkistuksemme hetkell\u00e4. Mutta sovelluksesi on ehk\u00e4 synkronoinut v\u00e4\u00e4r\u00e4n version, ja pahimpina vuosina luodut sadattuhannet tuotekortit ovat yh\u00e4 tietokannassa.<\/p>\n  <p>Kaksi muistettavaa refleksi\u00e4:<\/p>\n  <p><strong>1. Skannaus on nopeuden ty\u00f6kalu, ei totuuden.<\/strong> Skannauksen j\u00e4lkeen silm\u00e4ys makroihin riitt\u00e4\u00e4: jos proteiinit, hiilihydraatit ja rasvat eiv\u00e4t t\u00e4sm\u00e4\u00e4 n\u00e4ytettyihin kaloreihin, tuotekortti on v\u00e4\u00e4r\u00e4. Se on juuri t\u00e4m\u00e4n tutkimuksen testi, ja se vie kaksi sekuntia.<\/p>\n  <p><strong>2. N\u00e4kym\u00e4t\u00f6n virhe ei ole lautasellasi, se on kulutuksessasi.<\/strong> 110&nbsp;kcal v\u00e4\u00e4r\u00e4 tuotekortti korjataan kymmeness\u00e4 sekunnissa, kun se on havaittu. 300&nbsp;kcal p\u00e4iv\u00e4ss\u00e4 v\u00e4\u00e4r\u00e4 kalorikulutus ei n\u00e4y koskaan: se on haudattu \u00abaktiivisuuskertoimeen\u00bb, jonka sovelluksesi pyysi sinua valitsemaan rekister\u00f6ityess\u00e4. Siihen Lean keskitt\u00e4\u00e4 tarkkuutensa: <a href=\"https:\/\/lean-app.com\/fi\/depense-energetique-totale-v2\/\">TDEE = BMR + NEAT + EAT + TEF<\/a>, BMR:ll\u00e4, joka lasketaan <a href=\"https:\/\/lean-app.com\/fi\/calcul-metabolisme-de-base\/\">todellisesta rasvaprosentistasi<\/a> ja <a href=\"https:\/\/lean-app.com\/fi\/calculateur-neat\/\">NEAT todellisista askelistasi<\/a>, ei rastitetusta ruudusta.<\/p>\n  <div class=\"cta-band rev\">\n    <div class=\"l\">Tule Leaniksi, pysy Leanin\u00e4: ainoa sovellus, joka laskee kulutuksesi mittauksista, ei ruuduista.<\/div>\n    <div class=\"stores\">\n      <a href=\"https:\/\/apps.apple.com\/fr\/app\/lean-calorie-ai-podometre\/id6738668646?utm_source=seo&#038;utm_medium=blog&#038;utm_campaign=etude-off\" target=\"_blank\" rel=\"noopener\"><img src=\"https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-appstore-official.webp\" alt=\"App Store\" width=\"413\" height=\"122\" loading=\"lazy\" decoding=\"async\" \/><\/a>\n      <a href=\"https:\/\/play.google.com\/store\/apps\/details?id=com.lean.testsqflite&#038;utm_source=seo&#038;utm_medium=blog&#038;utm_campaign=etude-off\" target=\"_blank\" rel=\"noopener\"><img src=\"https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-googleplay-official.webp\" alt=\"Google Play\" width=\"315\" height=\"95\" loading=\"lazy\" decoding=\"async\" \/><\/a>\n    <\/div>\n  <\/div>\n<\/section>\n\n<section aria-labelledby=\"s9\" class=\"rev\">\n  <div class=\"section-label\"><span class=\"bar\"><\/span><span class=\"num\">08<\/span><\/div>\n  <h2 id=\"s9\">Tieteelliset talletukset ja viittaus<\/h2>\n  <p>T\u00e4m\u00e4 tutkimus on talletettu riippumattomiin avoimiin arkistoihin, pysyv\u00e4ll\u00e4 tunnisteella (DOI) ja t\u00e4ydellisill\u00e4 PDF-tiedostoilla ranskaksi ja englanniksi. Jokainen talletus on tarkistettavissa k\u00e4ym\u00e4tt\u00e4 t\u00e4ll\u00e4 sivustolla:<\/p>\n  <div class=\"prod-cards\">\n    <div class=\"prod-card\"><div class=\"who\"><b>Zenodo (CERN)<\/b><span>DOI 10.5281\/zenodo.22284416 &middot; viitetalletus, PDF FR + EN<\/span><\/div><div class=\"vals\"><a href=\"https:\/\/doi.org\/10.5281\/zenodo.22284416\" target=\"_blank\" rel=\"noopener\">Avaa talletus &rarr;<\/a><\/div><\/div>\n    <div class=\"prod-card\"><div class=\"who\"><b>Figshare<\/b><span>DOI 10.6084\/m9.figshare.33432244 &middot; preprint, PDF FR + EN<\/span><\/div><div class=\"vals\"><a href=\"https:\/\/doi.org\/10.6084\/m9.figshare.33432244\" target=\"_blank\" rel=\"noopener\">Avaa talletus &rarr;<\/a><\/div><\/div>\n    <div class=\"prod-card\"><div class=\"who\"><b>OSF (Center for Open Science)<\/b><span>julkinen projekti tczvj &middot; menetelm\u00e4 ja tiedostot<\/span><\/div><div class=\"vals\"><a href=\"https:\/\/osf.io\/tczvj\/\" target=\"_blank\" rel=\"noopener\">Avaa projekti &rarr;<\/a><\/div><\/div>\n    <div class=\"prod-card\"><div class=\"who\"><b>data.gouv.fr<\/b><span>Open Food Facts -tietoaineiston ilmoitettu uudelleenk\u00e4ytt\u00f6<\/span><\/div><div class=\"vals\"><a href=\"https:\/\/www.data.gouv.fr\/fr\/reuses\/etude-coherence-interne-des-donnees-caloriques-dopen-food-facts\/\" target=\"_blank\" rel=\"noopener\">Katso uudelleenk\u00e4ytt\u00f6 &rarr;<\/a><\/div><\/div>\n  <\/div>\n  <p><strong>Viittaus t\u00e4h\u00e4n tutkimukseen:<\/strong> Lean-tiimi (2026). 857 655 analysoitua tuotetta: Open Food Factsin kaloritietojen sis\u00e4inen johdonmukaisuus. Zenodo. https:\/\/doi.org\/10.5281\/zenodo.22284416<\/p>\n<\/section>\n\n<section aria-labelledby=\"s8\" class=\"rev\">\n  <div class=\"section-label\"><span class=\"bar\"><\/span><span class=\"num\">UKK<\/span><\/div>\n  <h2 id=\"s8\">Usein kysytyt kysymykset<\/h2>\n  <div class=\"faq\">\n    <details><summary>Miksi OpenFoodFacts eik\u00e4 USDA?<\/summary><div class=\"ans\">Ranskassa myydyille viivakooditetuille tuotteille trackereiden viitel\u00e4hde on OpenFoodFacts. USDA kattaa raaka-aineet ja Yhdysvaltain markkinat. T\u00e4m\u00e4 tutkimus koskee sit\u00e4, mit\u00e4 skannaus Ranskassa todella palauttaa.<\/div><\/details>\n    <details><summary>Pit\u00e4\u00e4k\u00f6 ruokien skannaaminen lopettaa?<\/summary><div class=\"ans\">Ei. Skannaus on yh\u00e4 nopein tapa kirjata. Hyv\u00e4 k\u00e4yt\u00e4nt\u00f6: tarkista, ett\u00e4 n\u00e4ytetyt makrot ovat johdonmukaisia kalorien kanssa. Kaksi sekuntia, jotka v\u00e4ltt\u00e4v\u00e4t pahimmat tuotekortit.<\/div><\/details>\n    <details><summary>Korjaavatko sovellukset n\u00e4m\u00e4 virheet?<\/summary><div class=\"ans\">Tietokanta el\u00e4\u00e4 jatkuvasti ja korjautuu, se on yhteisty\u00f6n vahvuus. Mutta sovellus, joka on synkronoinut v\u00e4\u00e4r\u00e4n tuotekortin, voi pit\u00e4\u00e4 sen v\u00e4limuistissa kauan verkkokorjauksen j\u00e4lkeen.<\/div><\/details>\n    <details><summary>Voiko t\u00e4m\u00e4n tutkimuksen lukuja k\u00e4ytt\u00e4\u00e4 uudelleen?<\/summary><div class=\"ans\">Kyll\u00e4, vapaasti, viittaamalla \u00abLean-tutkimus, elokuu 2026\u00bb linkill\u00e4 t\u00e4lle sivulle. L\u00e4hdetiedot kuuluvat OpenFoodFactsille (ODbL-lisenssi), ja menetelm\u00e4mme on kuvattu kokonaisuudessaan yll\u00e4.<\/div><\/details>\n  <\/div>\n<\/section>\n\n<section aria-labelledby=\"src\" class=\"sources rev\">\n  <div class=\"section-label\"><span class=\"bar\"><\/span><span class=\"num\">L\u00e4hteet<\/span><\/div>\n  <ol>\n    <li>OpenFoodFacts, virallinen dumppi 23.8.2026, <a href=\"https:\/\/world.openfoodfacts.org\/data\" target=\"_blank\" rel=\"noopener\">world.openfoodfacts.org\/data<\/a>, ODbL-lisenssi.<\/li>\n    <li>Asetus (EU) N:o 1169\/2011 (INCO), liite XIV: energian muuntokertoimet.<\/li>\n    <li>Atwater W.O. &amp; Bryant A.P. (1900). The availability and fuel value of food materials.<\/li>\n    <li>Merrill A.L. &amp; Watt B.K. (1973). Energy value of foods, USDA Agriculture Handbook No. 74.<\/li>\n  <\/ol>\n<\/section>\n\n<\/main>\n\n<footer>\n  <div class=\"wrap\">\n    <div class=\"row\">\n      <div>\n        <div class=\"kicker\">Lean &middot; lean-app.com<\/div>\n        <p>Tutkimus julkaistu 24.8.2026. P\u00e4ivitet\u00e4\u00e4n s\u00e4\u00e4nn\u00f6llisesti k\u00e4ytt\u00e4j\u00e4palautteella ja uusilla relevanteilla tutkimuksilla. Lean on saatavilla iOS:lle ja Androidille.<\/p>\n      <\/div>\n      <div class=\"stores\">\n        <a href=\"https:\/\/apps.apple.com\/fr\/app\/lean-calorie-ai-podometre\/id6738668646?utm_source=seo&#038;utm_medium=blog&#038;utm_campaign=etude-off\" target=\"_blank\" rel=\"noopener\"><img src=\"https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-appstore-official.webp\" alt=\"App Store\" width=\"413\" height=\"122\" loading=\"lazy\" decoding=\"async\" \/><\/a>\n        <a href=\"https:\/\/play.google.com\/store\/apps\/details?id=com.lean.testsqflite&#038;utm_source=seo&#038;utm_medium=blog&#038;utm_campaign=etude-off\" target=\"_blank\" rel=\"noopener\"><img src=\"https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-googleplay-official.webp\" alt=\"Google Play\" width=\"315\" height=\"95\" loading=\"lazy\" decoding=\"async\" \/><\/a>\n      <\/div>\n    <\/div>\n  <\/div>\n<\/footer>\n<script data-wpmeteor-nooptimize=\"true\">\n(function(){\n  var bar = document.getElementById('progBar');\n  function up(){\n    var h = document.documentElement;\n    var sc = (h.scrollTop)\/Math.max(1,(h.scrollHeight - h.clientHeight));\n    bar.style.transform = 'scaleX(' + Math.max(0,Math.min(1,sc)) + ')';\n  }\n  document.addEventListener('scroll', up, {passive:true});\n  up();\n})();\n\n(function(){\n  if (!('IntersectionObserver' in window)) {\n    document.querySelectorAll('.rev').forEach(function(n){n.classList.add('on')});\n    return;\n  }\n  var obs = new IntersectionObserver(function(entries){\n    entries.forEach(function(e){\n      if (e.isIntersecting) { e.target.classList.add('on'); obs.unobserve(e.target); }\n    });\n  }, {threshold:0.12});\n  document.querySelectorAll('.rev').forEach(function(n){ obs.observe(n); });\n})();\n<\/script>\n\n<script data-wpmeteor-nooptimize=\"true\">\n\/\/ === Charts etude OFF ===\n(function chartInit(){\n  if (typeof Chart === 'undefined') { return setTimeout(chartInit, 60); }\n  var LEAN_LANG = document.documentElement.lang || 'fr';\n  function T(fr, en){ return LEAN_LANG.indexOf('en') === 0 ? en : fr; }\n  var PINK = '#FF2D6E', INK = '#0E0E10', MUTED = '#6E6E73', RULE = '#E8E6DF';\n  var PINKS = ['rgba(255,45,110,1)','rgba(255,45,110,0.82)','rgba(255,45,110,0.66)','rgba(255,45,110,0.52)','rgba(255,45,110,0.4)','rgba(255,45,110,0.3)','rgba(255,45,110,0.24)','rgba(255,45,110,0.18)'];\n  Chart.defaults.font.family = '-apple-system, \"SF Pro Text\", system-ui, sans-serif';\n  var DPR = Math.max(2, window.devicePixelRatio || 2);\n  function nf(v){ return v.toLocaleString('fr-FR'); }\n  function pinkGrad(ctx, alphaTop){\n    var g = ctx.createLinearGradient(0, 0, 0, ctx.canvas.clientHeight || 360);\n    g.addColorStop(0, 'rgba(255,45,110,' + alphaTop + ')');\n    g.addColorStop(1, 'rgba(255,45,110,0.02)');\n    return g;\n  }\n\n  \/\/ 1. Donut : le sort d'un scan\n  var elD = document.getElementById('chartDonut');\n  if (elD) new Chart(elD, {\n    type: 'doughnut',\n    data: {\n      labels: [T('Fiche compl\u00e8te et coh\u00e9rente', 'Complete and consistent'), T('Fiche incompl\u00e8te', 'Incomplete entry'), T('Calories incoh\u00e9rentes', 'Inconsistent calories'), T('Donn\u00e9es aberrantes', 'Invalid data')],\n      datasets: [{ data: [807650, 391707, 46757, 19612],\n        backgroundColor: ['#E8E6DF', PINK, 'rgba(255,45,110,0.55)', 'rgba(110,110,115,0.45)'],\n        borderWidth: 3, borderColor: '#FFFFFF', borderRadius: 6, spacing: 1, hoverOffset: 6 }]\n    },\n    options: { responsive: true, maintainAspectRatio: false, devicePixelRatio: DPR, cutout: '66%',\n      plugins: { legend: { position: 'bottom', labels: { color: INK, boxWidth: 12, boxHeight: 12, borderRadius: 3, useBorderRadius: true, padding: 14, font: { size: 12.5 } } },\n        tooltip: { callbacks: { label: function(c){ return ' ' + nf(c.parsed) + T(' produits (', ' products (') + (100 * c.parsed \/ 1265726).toFixed(1) + ' %)'; } } } }\n    },\n    plugins: [{ id: 'centerText', afterDraw: function(chart){\n      var a = chart.ctx, area = chart.chartArea;\n      a.save(); a.textAlign = 'center';\n      a.fillStyle = PINK; a.font = '600 30px -apple-system, \"SF Pro Display\", system-ui, sans-serif';\n      a.fillText(T('1 sur 3', '1 in 3'), (area.left + area.right) \/ 2, (area.top + area.bottom) \/ 2 - 4);\n      a.fillStyle = MUTED; a.font = '500 12px -apple-system, system-ui, sans-serif';\n      a.fillText(T('scans non fiables', 'unreliable scans'), (area.left + area.right) \/ 2, (area.top + area.bottom) \/ 2 + 18);\n      a.restore();\n    } }]\n  });\n\n  \/\/ 2. Scatter : declare vs recalcule + diagonale de verite\n  var elSc = document.getElementById('chartScatter');\n  if (elSc) new Chart(elSc, {\n    type: 'scatter',\n    data: { datasets: [\n      { label: T('Fiches coh\u00e9rentes', 'Consistent entries'), data: [{\"x\": 457, \"y\": 457}, {\"x\": 299, \"y\": 294}, {\"x\": 391, \"y\": 386}, {\"x\": 129, \"y\": 129}, {\"x\": 476, \"y\": 483}, {\"x\": 535, \"y\": 531}, {\"x\": 21, \"y\": 21}, {\"x\": 529, \"y\": 536}, {\"x\": 36, \"y\": 36}, {\"x\": 566, \"y\": 547}, {\"x\": 429, \"y\": 458}, {\"x\": 483, \"y\": 488}, {\"x\": 594, \"y\": 636}, {\"x\": 149, \"y\": 146}, {\"x\": 80, \"y\": 81}, {\"x\": 350, \"y\": 353}, {\"x\": 33, \"y\": 37}, {\"x\": 93, \"y\": 93}, {\"x\": 27, \"y\": 27}, {\"x\": 190, \"y\": 204}, {\"x\": 50, \"y\": 50}, {\"x\": 30, \"y\": 29}, {\"x\": 475, \"y\": 498}, {\"x\": 319, \"y\": 319}, {\"x\": 382, \"y\": 385}, {\"x\": 412, \"y\": 416}, {\"x\": 404, \"y\": 399}, {\"x\": 171, \"y\": 171}, {\"x\": 158, \"y\": 154}, {\"x\": 418, \"y\": 421}, {\"x\": 341, \"y\": 336}, {\"x\": 494, \"y\": 470}, {\"x\": 238, \"y\": 219}, {\"x\": 141, \"y\": 141}, {\"x\": 276, \"y\": 270}, {\"x\": 213, \"y\": 213}, {\"x\": 309, \"y\": 309}, {\"x\": 134, \"y\": 130}, {\"x\": 388, \"y\": 387}, {\"x\": 223, \"y\": 221}, {\"x\": 78, \"y\": 78}, {\"x\": 256, \"y\": 250}, {\"x\": 327, \"y\": 324}, {\"x\": 106, \"y\": 106}, {\"x\": 268, \"y\": 262}, {\"x\": 373, \"y\": 373}, {\"x\": 78, \"y\": 78}, {\"x\": 291, \"y\": 291}, {\"x\": 362, \"y\": 360}, {\"x\": 311, \"y\": 311}, {\"x\": 385, \"y\": 385}, {\"x\": 333, \"y\": 333}, {\"x\": 399, \"y\": 397}, {\"x\": 110, \"y\": 112}, {\"x\": 104, \"y\": 104}, {\"x\": 448, \"y\": 447}, {\"x\": 105, \"y\": 105}, {\"x\": 108, \"y\": 108}, {\"x\": 128, \"y\": 126}, {\"x\": 168, \"y\": 166}, {\"x\": 369, \"y\": 370}, {\"x\": 147, \"y\": 146}, {\"x\": 398, \"y\": 390}, {\"x\": 309, \"y\": 309}, {\"x\": 98, \"y\": 98}, {\"x\": 106, \"y\": 106}, {\"x\": 245, \"y\": 241}, {\"x\": 104, \"y\": 104}, {\"x\": 353, \"y\": 359}, {\"x\": 124, \"y\": 124}, {\"x\": 373, \"y\": 369}, {\"x\": 362, \"y\": 368}, {\"x\": 133, \"y\": 132}, {\"x\": 157, \"y\": 157}, {\"x\": 51, \"y\": 51}, {\"x\": 391, \"y\": 391}, {\"x\": 365, \"y\": 344}, {\"x\": 113, \"y\": 113}, {\"x\": 366, \"y\": 366}, {\"x\": 142, \"y\": 138}, {\"x\": 101, \"y\": 101}, {\"x\": 285, \"y\": 285}, {\"x\": 60, \"y\": 59}, {\"x\": 45, \"y\": 50}, {\"x\": 494, \"y\": 496}, {\"x\": 565, \"y\": 561}, {\"x\": 480, \"y\": 481}, {\"x\": 366, \"y\": 360}, {\"x\": 333, \"y\": 333}, {\"x\": 304, \"y\": 307}, {\"x\": 1, \"y\": 1}, {\"x\": 564, \"y\": 564}, {\"x\": 406, \"y\": 394}, {\"x\": 336, \"y\": 338}, {\"x\": 101, \"y\": 100}, {\"x\": 217, \"y\": 217}, {\"x\": 9, \"y\": 8}, {\"x\": 110, \"y\": 118}, {\"x\": 335, \"y\": 332}, {\"x\": 92, \"y\": 110}, {\"x\": 1, \"y\": 1}, {\"x\": 335, \"y\": 331}, {\"x\": 495, \"y\": 505}, {\"x\": 136, \"y\": 136}, {\"x\": 72, \"y\": 72}, {\"x\": 359, \"y\": 361}, {\"x\": 39, \"y\": 38}, {\"x\": 19, \"y\": 18}, {\"x\": 465, \"y\": 461}, {\"x\": 276, \"y\": 276}, {\"x\": 358, \"y\": 352}, {\"x\": 156, \"y\": 156}, {\"x\": 449, \"y\": 445}, {\"x\": 182, \"y\": 176}, {\"x\": 240, \"y\": 240}, {\"x\": 284, \"y\": 283}, {\"x\": 221, \"y\": 222}, {\"x\": 331, \"y\": 331}, {\"x\": 254, \"y\": 251}, {\"x\": 299, \"y\": 299}, {\"x\": 619, \"y\": 616}, {\"x\": 54, \"y\": 52}, {\"x\": 176, \"y\": 160}, {\"x\": 150, \"y\": 145}, {\"x\": 410, \"y\": 409}, {\"x\": 216, \"y\": 213}, {\"x\": 390, \"y\": 423}, {\"x\": 485, \"y\": 491}, {\"x\": 498, \"y\": 498}, {\"x\": 42, \"y\": 44}, {\"x\": 295, \"y\": 292}, {\"x\": 376, \"y\": 375}, {\"x\": 65, \"y\": 65}, {\"x\": 29, \"y\": 28}, {\"x\": 228, \"y\": 224}, {\"x\": 386, \"y\": 386}, {\"x\": 628, \"y\": 628}, {\"x\": 336, \"y\": 336}, {\"x\": 336, \"y\": 306}, {\"x\": 38, \"y\": 36}, {\"x\": 507, \"y\": 483}, {\"x\": 50, \"y\": 50}, {\"x\": 117, \"y\": 119}, {\"x\": 332, \"y\": 332}, {\"x\": 250, \"y\": 248}, {\"x\": 1, \"y\": 1}, {\"x\": 237, \"y\": 245}, {\"x\": 213, \"y\": 209}, {\"x\": 168, \"y\": 195}, {\"x\": 368, \"y\": 372}, {\"x\": 369, \"y\": 369}, {\"x\": 366, \"y\": 363}, {\"x\": 197, \"y\": 197}, {\"x\": 176, \"y\": 176}, {\"x\": 401, \"y\": 397}, {\"x\": 167, \"y\": 165}, {\"x\": 381, \"y\": 380}, {\"x\": 271, \"y\": 271}, {\"x\": 181, \"y\": 184}, {\"x\": 139, \"y\": 139}, {\"x\": 364, \"y\": 364}, {\"x\": 385, \"y\": 387}, {\"x\": 385, \"y\": 388}, {\"x\": 239, \"y\": 249}, {\"x\": 314, \"y\": 316}, {\"x\": 185, \"y\": 185}, {\"x\": 418, \"y\": 423}, {\"x\": 161, \"y\": 161}, {\"x\": 217, \"y\": 217}, {\"x\": 236, \"y\": 236}, {\"x\": 166, \"y\": 166}, {\"x\": 117, \"y\": 113}, {\"x\": 199, \"y\": 200}, {\"x\": 150, \"y\": 148}, {\"x\": 122, \"y\": 124}, {\"x\": 289, \"y\": 288}, {\"x\": 361, \"y\": 363}, {\"x\": 173, \"y\": 177}, {\"x\": 165, \"y\": 164}, {\"x\": 106, \"y\": 109}, {\"x\": 172, \"y\": 169}, {\"x\": 95, \"y\": 94}, {\"x\": 305, \"y\": 306}, {\"x\": 97, \"y\": 96}, {\"x\": 348, \"y\": 348}, {\"x\": 136, \"y\": 135}, {\"x\": 156, \"y\": 158}, {\"x\": 124, \"y\": 124}, {\"x\": 225, \"y\": 225}, {\"x\": 153, \"y\": 153}, {\"x\": 139, \"y\": 138}, {\"x\": 255, \"y\": 260}, {\"x\": 398, \"y\": 410}, {\"x\": 392, \"y\": 388}, {\"x\": 327, \"y\": 325}, {\"x\": 272, \"y\": 270}, {\"x\": 283, \"y\": 283}, {\"x\": 144, \"y\": 142}, {\"x\": 283, \"y\": 283}, {\"x\": 338, \"y\": 332}, {\"x\": 251, \"y\": 228}, {\"x\": 48, \"y\": 48}, {\"x\": 450, \"y\": 437}, {\"x\": 328, \"y\": 310}, {\"x\": 339, \"y\": 369}, {\"x\": 404, \"y\": 405}, {\"x\": 551, \"y\": 559}, {\"x\": 221, \"y\": 219}, {\"x\": 123, \"y\": 122}, {\"x\": 356, \"y\": 354}, {\"x\": 248, \"y\": 248}, {\"x\": 250, \"y\": 250}, {\"x\": 163, \"y\": 156}, {\"x\": 317, \"y\": 292}, {\"x\": 245, \"y\": 246}, {\"x\": 229, \"y\": 229}, {\"x\": 725, \"y\": 717}, {\"x\": 159, \"y\": 161}, {\"x\": 361, \"y\": 357}, {\"x\": 111, \"y\": 109}, {\"x\": 418, \"y\": 423}, {\"x\": 220, \"y\": 214}, {\"x\": 228, \"y\": 229}, {\"x\": 139, \"y\": 141}, {\"x\": 155, \"y\": 126}, {\"x\": 162, \"y\": 163}, {\"x\": 403, \"y\": 397}, {\"x\": 364, \"y\": 360}, {\"x\": 402, \"y\": 406}, {\"x\": 55, \"y\": 55}, {\"x\": 257, \"y\": 260}, {\"x\": 105, \"y\": 105}, {\"x\": 110, \"y\": 110}, {\"x\": 42, \"y\": 43}, {\"x\": 365, \"y\": 370}, {\"x\": 235, \"y\": 235}, {\"x\": 404, \"y\": 401}, {\"x\": 111, \"y\": 108}, {\"x\": 413, \"y\": 413}, {\"x\": 70, \"y\": 72}, {\"x\": 206, \"y\": 206}, {\"x\": 390, \"y\": 390}, {\"x\": 524, \"y\": 529}, {\"x\": 285, \"y\": 288}, {\"x\": 177, \"y\": 177}, {\"x\": 107, \"y\": 105}, {\"x\": 52, \"y\": 53}, {\"x\": 361, \"y\": 361}, {\"x\": 125, \"y\": 123}, {\"x\": 343, \"y\": 337}, {\"x\": 227, \"y\": 228}, {\"x\": 124, \"y\": 124}, {\"x\": 74, \"y\": 70}, {\"x\": 325, \"y\": 325}, {\"x\": 87, \"y\": 86}, {\"x\": 41, \"y\": 41}, {\"x\": 365, \"y\": 365}, {\"x\": 177, \"y\": 176}, {\"x\": 333, \"y\": 332}, {\"x\": 82, \"y\": 82}, {\"x\": 328, \"y\": 328}, {\"x\": 562, \"y\": 557}, {\"x\": 530, \"y\": 520}, {\"x\": 290, \"y\": 284}, {\"x\": 335, \"y\": 335}, {\"x\": 367, \"y\": 367}, {\"x\": 198, \"y\": 198}, {\"x\": 308, \"y\": 294}, {\"x\": 368, \"y\": 370}, {\"x\": 71, \"y\": 71}, {\"x\": 60, \"y\": 59}, {\"x\": 19, \"y\": 16}, {\"x\": 320, \"y\": 324}, {\"x\": 183, \"y\": 172}, {\"x\": 124, \"y\": 124}, {\"x\": 465, \"y\": 450}, {\"x\": 363, \"y\": 367}, {\"x\": 111, \"y\": 109}, {\"x\": 116, \"y\": 116}, {\"x\": 565, \"y\": 558}, {\"x\": 136, \"y\": 146}, {\"x\": 458, \"y\": 497}, {\"x\": 512, \"y\": 504}, {\"x\": 545, \"y\": 540}, {\"x\": 382, \"y\": 384}, {\"x\": 547, \"y\": 520}, {\"x\": 8, \"y\": 2}, {\"x\": 109, \"y\": 109}, {\"x\": 167, \"y\": 176}, {\"x\": 338, \"y\": 336}, {\"x\": 140, \"y\": 142}, {\"x\": 615, \"y\": 612}, {\"x\": 503, \"y\": 498}, {\"x\": 546, \"y\": 542}, {\"x\": 313, \"y\": 318}, {\"x\": 424, \"y\": 425}, {\"x\": 544, \"y\": 534}, {\"x\": 370, \"y\": 370}, {\"x\": 12, \"y\": 14}, {\"x\": 433, \"y\": 460}, {\"x\": 770, \"y\": 771}, {\"x\": 303, \"y\": 274}, {\"x\": 127, \"y\": 123}, {\"x\": 410, \"y\": 399}, {\"x\": 371, \"y\": 364}, {\"x\": 62, \"y\": 62}, {\"x\": 239, \"y\": 239}, {\"x\": 238, \"y\": 238}, {\"x\": 361, \"y\": 360}, {\"x\": 253, \"y\": 250}, {\"x\": 140, \"y\": 140}, {\"x\": 23, \"y\": 23}, {\"x\": 46, \"y\": 46}, {\"x\": 101, \"y\": 101}, {\"x\": 487, \"y\": 486}, {\"x\": 223, \"y\": 223}, {\"x\": 247, \"y\": 247}, {\"x\": 47, \"y\": 47}, {\"x\": 81, \"y\": 81}, {\"x\": 336, \"y\": 332}, {\"x\": 51, \"y\": 44}, {\"x\": 522, \"y\": 503}, {\"x\": 157, \"y\": 157}, {\"x\": 113, \"y\": 113}, {\"x\": 619, \"y\": 620}, {\"x\": 316, \"y\": 316}, {\"x\": 270, \"y\": 270}, {\"x\": 337, \"y\": 333}, {\"x\": 351, \"y\": 351}, {\"x\": 197, \"y\": 198}, {\"x\": 249, \"y\": 243}, {\"x\": 49, \"y\": 50}, {\"x\": 171, \"y\": 171}, {\"x\": 46, \"y\": 58}, {\"x\": 132, \"y\": 134}, {\"x\": 243, \"y\": 249}, {\"x\": 247, \"y\": 247}, {\"x\": 49, \"y\": 44}, {\"x\": 129, \"y\": 129}, {\"x\": 462, \"y\": 462}, {\"x\": 105, \"y\": 104}, {\"x\": 57, \"y\": 54}, {\"x\": 347, \"y\": 347}, {\"x\": 152, \"y\": 152}, {\"x\": 136, \"y\": 136}, {\"x\": 32, \"y\": 38}, {\"x\": 696, \"y\": 692}, {\"x\": 360, \"y\": 360}, {\"x\": 510, \"y\": 510}, {\"x\": 183, \"y\": 179}, {\"x\": 248, \"y\": 248}, {\"x\": 232, \"y\": 232}, {\"x\": 681, \"y\": 685}, {\"x\": 81, \"y\": 81}, {\"x\": 62, \"y\": 68}, {\"x\": 436, \"y\": 441}, {\"x\": 561, \"y\": 562}, {\"x\": 204, \"y\": 208}, {\"x\": 83, \"y\": 84}, {\"x\": 289, \"y\": 302}, {\"x\": 461, \"y\": 462}, {\"x\": 683, \"y\": 681}, {\"x\": 161, \"y\": 160}, {\"x\": 28, \"y\": 32}, {\"x\": 363, \"y\": 363}, {\"x\": 498, \"y\": 498}, {\"x\": 452, \"y\": 466}, {\"x\": 186, \"y\": 186}, {\"x\": 14, \"y\": 14}, {\"x\": 159, \"y\": 160}, {\"x\": 49, \"y\": 53}, {\"x\": 544, \"y\": 544}, {\"x\": 487, \"y\": 480}, {\"x\": 405, \"y\": 401}, {\"x\": 26, \"y\": 54}, {\"x\": 35, \"y\": 34}, {\"x\": 238, \"y\": 238}, {\"x\": 139, \"y\": 138}, {\"x\": 900, \"y\": 900}, {\"x\": 87, \"y\": 87}, {\"x\": 348, \"y\": 348}, {\"x\": 134, \"y\": 134}, {\"x\": 204, \"y\": 204}, {\"x\": 110, \"y\": 108}, {\"x\": 380, \"y\": 380}, {\"x\": 40, \"y\": 40}, {\"x\": 391, \"y\": 392}, {\"x\": 68, \"y\": 69}, {\"x\": 248, \"y\": 248}, {\"x\": 155, \"y\": 150}, {\"x\": 129, \"y\": 129}, {\"x\": 269, \"y\": 257}, {\"x\": 314, \"y\": 310}, {\"x\": 355, \"y\": 355}, {\"x\": 90, \"y\": 88}, {\"x\": 417, \"y\": 427}, {\"x\": 201, \"y\": 204}, {\"x\": 487, \"y\": 487}, {\"x\": 81, \"y\": 77}, {\"x\": 573, \"y\": 579}, {\"x\": 268, \"y\": 273}, {\"x\": 99, \"y\": 99}, {\"x\": 222, \"y\": 222}, {\"x\": 234, \"y\": 233}, {\"x\": 420, \"y\": 420}, {\"x\": 115, \"y\": 115}, {\"x\": 38, \"y\": 38}, {\"x\": 120, \"y\": 120}, {\"x\": 106, \"y\": 106}, {\"x\": 225, \"y\": 221}, {\"x\": 232, \"y\": 234}, {\"x\": 305, \"y\": 305}, {\"x\": 242, \"y\": 246}, {\"x\": 196, \"y\": 196}, {\"x\": 242, \"y\": 242}, {\"x\": 320, \"y\": 324}, {\"x\": 74, \"y\": 74}, {\"x\": 357, \"y\": 354}, {\"x\": 1, \"y\": 1}, {\"x\": 210, \"y\": 205}, {\"x\": 544, \"y\": 536}, {\"x\": 90, \"y\": 96}, {\"x\": 232, \"y\": 232}, {\"x\": 85, \"y\": 85}, {\"x\": 231, \"y\": 234}, {\"x\": 102, \"y\": 102}, {\"x\": 144, \"y\": 144}, {\"x\": 368, \"y\": 361}, {\"x\": 21, \"y\": 21}, {\"x\": 417, \"y\": 412}, {\"x\": 411, \"y\": 411}, {\"x\": 374, \"y\": 373}, {\"x\": 395, \"y\": 391}, {\"x\": 216, \"y\": 216}, {\"x\": 58, \"y\": 58}, {\"x\": 17, \"y\": 17}, {\"x\": 231, \"y\": 228}, {\"x\": 82, \"y\": 78}, {\"x\": 324, \"y\": 320}, {\"x\": 444, \"y\": 441}, {\"x\": 230, \"y\": 230}, {\"x\": 177, \"y\": 176}, {\"x\": 100, \"y\": 100}, {\"x\": 205, \"y\": 205}, {\"x\": 95, \"y\": 91}, {\"x\": 534, \"y\": 534}, {\"x\": 34, \"y\": 32}, {\"x\": 107, \"y\": 104}, {\"x\": 115, \"y\": 115}, {\"x\": 144, \"y\": 144}, {\"x\": 143, \"y\": 141}, {\"x\": 27, \"y\": 21}, {\"x\": 374, \"y\": 374}, {\"x\": 470, \"y\": 443}, {\"x\": 101, \"y\": 101}, {\"x\": 210, \"y\": 210}, {\"x\": 234, \"y\": 234}, {\"x\": 523, \"y\": 538}, {\"x\": 208, \"y\": 208}, {\"x\": 347, \"y\": 347}, {\"x\": 120, \"y\": 119}, {\"x\": 91, \"y\": 87}, {\"x\": 93, \"y\": 93}, {\"x\": 50, \"y\": 47}, {\"x\": 33, \"y\": 34}, {\"x\": 91, \"y\": 90}, {\"x\": 326, \"y\": 326}, {\"x\": 165, \"y\": 167}, {\"x\": 515, \"y\": 513}, {\"x\": 77, \"y\": 73}, {\"x\": 133, \"y\": 124}, {\"x\": 330, \"y\": 344}, {\"x\": 39, \"y\": 47}, {\"x\": 593, \"y\": 628}, {\"x\": 190, \"y\": 191}, {\"x\": 340, \"y\": 340}, {\"x\": 43, \"y\": 44}, {\"x\": 95, \"y\": 95}, {\"x\": 88, \"y\": 88}, {\"x\": 220, \"y\": 220}, {\"x\": 361, \"y\": 361}, {\"x\": 361, \"y\": 361}, {\"x\": 187, \"y\": 187}, {\"x\": 698, \"y\": 690}, {\"x\": 351, \"y\": 349}, {\"x\": 485, \"y\": 485}, {\"x\": 242, \"y\": 239}, {\"x\": 170, \"y\": 171}, {\"x\": 409, \"y\": 411}, {\"x\": 392, \"y\": 392}, {\"x\": 493, \"y\": 490}, {\"x\": 69, \"y\": 69}, {\"x\": 168, \"y\": 169}, {\"x\": 223, \"y\": 218}, {\"x\": 217, \"y\": 214}, {\"x\": 450, \"y\": 416}, {\"x\": 157, \"y\": 158}, {\"x\": 286, \"y\": 261}, {\"x\": 427, \"y\": 426}, {\"x\": 355, \"y\": 351}, {\"x\": 332, \"y\": 332}, {\"x\": 337, \"y\": 337}, {\"x\": 161, \"y\": 162}, {\"x\": 290, \"y\": 291}, {\"x\": 398, \"y\": 398}, {\"x\": 43, \"y\": 41}, {\"x\": 154, \"y\": 153}, {\"x\": 119, \"y\": 119}, {\"x\": 577, \"y\": 549}, {\"x\": 508, \"y\": 508}, {\"x\": 189, \"y\": 193}, {\"x\": 39, \"y\": 36}, {\"x\": 470, \"y\": 464}, {\"x\": 391, \"y\": 371}, {\"x\": 580, \"y\": 576}, {\"x\": 273, \"y\": 273}, {\"x\": 68, \"y\": 69}, {\"x\": 338, \"y\": 345}, {\"x\": 485, \"y\": 477}, {\"x\": 427, \"y\": 427}, {\"x\": 46, \"y\": 48}, {\"x\": 167, \"y\": 170}, {\"x\": 69, \"y\": 69}, {\"x\": 300, \"y\": 301}, {\"x\": 1, \"y\": 9}, {\"x\": 318, \"y\": 329}, {\"x\": 113, \"y\": 109}, {\"x\": 72, \"y\": 72}, {\"x\": 565, \"y\": 535}, {\"x\": 900, \"y\": 900}, {\"x\": 49, \"y\": 54}, {\"x\": 256, \"y\": 254}, {\"x\": 225, \"y\": 226}, {\"x\": 325, \"y\": 314}, {\"x\": 255, \"y\": 252}, {\"x\": 17, \"y\": 16}, {\"x\": 290, \"y\": 290}, {\"x\": 529, \"y\": 529}, {\"x\": 468, \"y\": 469}, {\"x\": 163, \"y\": 167}, {\"x\": 501, \"y\": 500}, {\"x\": 42, \"y\": 42}, {\"x\": 164, \"y\": 164}, {\"x\": 485, \"y\": 476}, {\"x\": 89, \"y\": 88}, {\"x\": 201, \"y\": 200}, {\"x\": 66, \"y\": 65}, {\"x\": 71, \"y\": 71}, {\"x\": 578, \"y\": 563}, {\"x\": 563, \"y\": 556}, {\"x\": 600, \"y\": 590}, {\"x\": 340, \"y\": 331}, {\"x\": 575, \"y\": 616}, {\"x\": 261, \"y\": 261}, {\"x\": 262, \"y\": 262}, {\"x\": 451, \"y\": 450}, {\"x\": 327, \"y\": 323}, {\"x\": 179, \"y\": 182}, {\"x\": 132, \"y\": 132}, {\"x\": 530, \"y\": 530}, {\"x\": 324, \"y\": 312}, {\"x\": 439, \"y\": 432}, {\"x\": 14, \"y\": 18}, {\"x\": 195, \"y\": 185}, {\"x\": 389, \"y\": 378}, {\"x\": 358, \"y\": 333}, {\"x\": 260, \"y\": 258}, {\"x\": 271, \"y\": 273}, {\"x\": 275, \"y\": 276}, {\"x\": 179, \"y\": 180}, {\"x\": 326, \"y\": 326}, {\"x\": 73, \"y\": 74}, {\"x\": 154, \"y\": 154}, {\"x\": 168, \"y\": 167}, {\"x\": 470, \"y\": 470}, {\"x\": 298, \"y\": 298}, {\"x\": 67, \"y\": 67}, {\"x\": 265, \"y\": 261}, {\"x\": 336, \"y\": 340}, {\"x\": 265, \"y\": 261}, {\"x\": 900, \"y\": 898}, {\"x\": 387, \"y\": 395}, {\"x\": 32, \"y\": 33}, {\"x\": 500, \"y\": 495}, {\"x\": 13, \"y\": 17}, {\"x\": 231, \"y\": 225}, {\"x\": 350, \"y\": 351}, {\"x\": 148, \"y\": 151}, {\"x\": 88, \"y\": 87}, {\"x\": 147, \"y\": 147}, {\"x\": 318, \"y\": 316}, {\"x\": 108, \"y\": 108}, {\"x\": 628, \"y\": 624}, {\"x\": 150, \"y\": 152}, {\"x\": 25, \"y\": 28}, {\"x\": 98, \"y\": 99}, {\"x\": 523, \"y\": 512}, {\"x\": 358, \"y\": 344}, {\"x\": 654, \"y\": 696}, {\"x\": 284, \"y\": 285}, {\"x\": 105, \"y\": 122}, {\"x\": 248, \"y\": 249}, {\"x\": 364, \"y\": 364}, {\"x\": 373, \"y\": 373}, {\"x\": 95, \"y\": 95}, {\"x\": 108, \"y\": 108}, {\"x\": 329, \"y\": 327}, {\"x\": 155, \"y\": 152}, {\"x\": 108, \"y\": 108}, {\"x\": 73, \"y\": 69}, {\"x\": 341, \"y\": 340}, {\"x\": 23, \"y\": 26}, {\"x\": 48, \"y\": 48}, {\"x\": 584, \"y\": 560}, {\"x\": 189, \"y\": 189}, {\"x\": 130, \"y\": 129}, {\"x\": 638, \"y\": 630}, {\"x\": 54, \"y\": 54}, {\"x\": 38, \"y\": 38}, {\"x\": 350, \"y\": 340}, {\"x\": 93, \"y\": 94}, {\"x\": 247, \"y\": 248}, {\"x\": 42, \"y\": 40}, {\"x\": 232, \"y\": 222}, {\"x\": 218, \"y\": 219}, {\"x\": 47, \"y\": 49}, {\"x\": 363, \"y\": 363}, {\"x\": 162, \"y\": 162}, {\"x\": 83, \"y\": 83}, {\"x\": 89, \"y\": 90}, {\"x\": 123, \"y\": 124}, {\"x\": 237, \"y\": 236}, {\"x\": 60, \"y\": 64}, {\"x\": 544, \"y\": 544}, {\"x\": 744, \"y\": 744}, {\"x\": 47, \"y\": 48}, {\"x\": 357, \"y\": 386}, {\"x\": 27, \"y\": 27}, {\"x\": 49, \"y\": 50}, {\"x\": 44, \"y\": 41}, {\"x\": 345, \"y\": 345}, {\"x\": 303, \"y\": 303}, {\"x\": 347, \"y\": 348}, {\"x\": 477, \"y\": 477}, {\"x\": 170, \"y\": 170}, {\"x\": 69, \"y\": 69}, {\"x\": 119, \"y\": 119}, {\"x\": 350, \"y\": 350}, {\"x\": 386, \"y\": 386}, {\"x\": 39, \"y\": 46}, {\"x\": 398, \"y\": 398}, {\"x\": 124, \"y\": 124}, {\"x\": 95, \"y\": 94}, {\"x\": 355, \"y\": 354}, {\"x\": 202, \"y\": 212}, {\"x\": 386, \"y\": 380}, {\"x\": 145, \"y\": 145}, {\"x\": 238, \"y\": 235}, {\"x\": 49, \"y\": 53}, {\"x\": 374, \"y\": 377}, {\"x\": 268, \"y\": 262}, {\"x\": 344, \"y\": 328}, {\"x\": 159, \"y\": 158}, {\"x\": 101, \"y\": 102}, {\"x\": 285, \"y\": 256}, {\"x\": 313, \"y\": 303}, {\"x\": 28, \"y\": 28}, {\"x\": 212, \"y\": 212}, {\"x\": 132, \"y\": 118}, {\"x\": 198, \"y\": 198}, {\"x\": 596, \"y\": 591}, {\"x\": 48, \"y\": 48}, {\"x\": 41, \"y\": 40}, {\"x\": 424, \"y\": 424}, {\"x\": 257, \"y\": 257}, {\"x\": 232, \"y\": 224}, {\"x\": 556, \"y\": 552}, {\"x\": 487, \"y\": 488}, {\"x\": 447, \"y\": 451}, {\"x\": 577, \"y\": 576}, {\"x\": 300, \"y\": 300}, {\"x\": 567, \"y\": 565}, {\"x\": 485, \"y\": 484}, {\"x\": 142, \"y\": 136}, {\"x\": 304, \"y\": 304}, {\"x\": 329, \"y\": 342}, {\"x\": 95, \"y\": 95}, {\"x\": 481, \"y\": 465}, {\"x\": 127, \"y\": 127}, {\"x\": 367, \"y\": 368}, {\"x\": 76, \"y\": 76}, {\"x\": 476, \"y\": 476}, {\"x\": 292, \"y\": 296}, {\"x\": 172, \"y\": 171}, {\"x\": 32, \"y\": 36}, {\"x\": 46, \"y\": 46}, {\"x\": 509, \"y\": 506}, {\"x\": 30, \"y\": 28}, {\"x\": 459, \"y\": 435}, {\"x\": 314, \"y\": 315}, {\"x\": 331, \"y\": 331}, {\"x\": 96, \"y\": 91}, {\"x\": 130, \"y\": 126}, {\"x\": 215, \"y\": 218}, {\"x\": 269, \"y\": 247}, {\"x\": 309, \"y\": 302}, {\"x\": 30, \"y\": 26}, {\"x\": 571, \"y\": 564}, {\"x\": 170, \"y\": 172}, {\"x\": 45, \"y\": 45}, {\"x\": 256, \"y\": 252}, {\"x\": 126, \"y\": 124}, {\"x\": 76, \"y\": 77}, {\"x\": 577, \"y\": 577}, {\"x\": 900, \"y\": 900}, {\"x\": 343, \"y\": 332}, {\"x\": 618, \"y\": 647}, {\"x\": 365, \"y\": 357}, {\"x\": 253, \"y\": 260}, {\"x\": 418, \"y\": 434}, {\"x\": 192, \"y\": 192}, {\"x\": 428, \"y\": 424}, {\"x\": 478, \"y\": 478}, {\"x\": 464, \"y\": 463}, {\"x\": 295, \"y\": 295}, {\"x\": 568, \"y\": 536}, {\"x\": 49, \"y\": 56}, {\"x\": 36, \"y\": 34}, {\"x\": 498, \"y\": 492}, {\"x\": 48, \"y\": 66}, {\"x\": 312, \"y\": 317}, {\"x\": 217, \"y\": 217}, {\"x\": 206, \"y\": 190}, {\"x\": 475, \"y\": 464}, {\"x\": 537, \"y\": 536}, {\"x\": 900, \"y\": 902}, {\"x\": 233, \"y\": 224}, {\"x\": 473, \"y\": 474}, {\"x\": 271, \"y\": 294}, {\"x\": 485, \"y\": 476}, {\"x\": 368, \"y\": 366}, {\"x\": 76, \"y\": 76}, {\"x\": 275, \"y\": 277}, {\"x\": 202, \"y\": 205}, {\"x\": 294, \"y\": 291}, {\"x\": 246, \"y\": 251}, {\"x\": 407, \"y\": 408}, {\"x\": 619, \"y\": 618}, {\"x\": 149, \"y\": 148}, {\"x\": 73, \"y\": 71}, {\"x\": 535, \"y\": 534}, {\"x\": 56, \"y\": 63}, {\"x\": 462, \"y\": 457}, {\"x\": 66, \"y\": 66}, {\"x\": 482, \"y\": 485}, {\"x\": 396, \"y\": 401}, {\"x\": 317, \"y\": 319}, {\"x\": 172, \"y\": 181}, {\"x\": 171, \"y\": 171}, {\"x\": 395, \"y\": 394}, {\"x\": 174, \"y\": 196}, {\"x\": 527, \"y\": 525}, {\"x\": 582, \"y\": 534}, {\"x\": 46, \"y\": 61}, {\"x\": 351, \"y\": 341}, {\"x\": 192, \"y\": 190}, {\"x\": 338, \"y\": 338}, {\"x\": 304, \"y\": 306}, {\"x\": 381, \"y\": 382}, {\"x\": 494, \"y\": 494}, {\"x\": 87, \"y\": 88}, {\"x\": 291, \"y\": 272}, {\"x\": 409, \"y\": 403}, {\"x\": 301, \"y\": 307}, {\"x\": 900, \"y\": 924}, {\"x\": 113, \"y\": 113}, {\"x\": 252, \"y\": 249}, {\"x\": 278, \"y\": 283}, {\"x\": 120, \"y\": 120}, {\"x\": 484, \"y\": 470}, {\"x\": 236, \"y\": 250}, {\"x\": 423, \"y\": 414}, {\"x\": 50, \"y\": 49}, {\"x\": 24, \"y\": 24}, {\"x\": 10, \"y\": 9}, {\"x\": 467, \"y\": 464}, {\"x\": 24, \"y\": 24}, {\"x\": 1, \"y\": 1}, {\"x\": 376, \"y\": 379}, {\"x\": 428, \"y\": 420}, {\"x\": 139, \"y\": 140}, {\"x\": 117, \"y\": 115}, {\"x\": 6, \"y\": 6}, {\"x\": 11, \"y\": 11}, {\"x\": 560, \"y\": 541}, {\"x\": 45, \"y\": 54}, {\"x\": 12, \"y\": 12}, {\"x\": 643, \"y\": 642}, {\"x\": 12, \"y\": 12}, {\"x\": 500, \"y\": 521}, {\"x\": 573, \"y\": 596}, {\"x\": 116, \"y\": 116}, {\"x\": 392, \"y\": 392}, {\"x\": 453, \"y\": 466}, {\"x\": 168, \"y\": 180}, {\"x\": 26, \"y\": 26}, {\"x\": 493, \"y\": 485}, {\"x\": 334, \"y\": 328}, {\"x\": 402, \"y\": 398}, {\"x\": 236, \"y\": 232}, {\"x\": 260, \"y\": 262}, {\"x\": 573, \"y\": 558}, {\"x\": 290, \"y\": 290}, {\"x\": 343, \"y\": 340}, {\"x\": 352, \"y\": 347}, {\"x\": 566, \"y\": 564}, {\"x\": 372, \"y\": 373}, {\"x\": 443, \"y\": 432}, {\"x\": 24, \"y\": 42}, {\"x\": 539, \"y\": 514}, {\"x\": 479, \"y\": 476}, {\"x\": 358, \"y\": 351}, {\"x\": 480, \"y\": 477}, {\"x\": 157, \"y\": 157}, {\"x\": 2, \"y\": 3}, {\"x\": 305, \"y\": 300}, {\"x\": 275, \"y\": 276}, {\"x\": 151, \"y\": 150}, {\"x\": 125, \"y\": 125}, {\"x\": 280, \"y\": 280}, {\"x\": 267, \"y\": 267}, {\"x\": 107, \"y\": 107}, {\"x\": 214, \"y\": 214}, {\"x\": 372, \"y\": 367}, {\"x\": 131, \"y\": 131}, {\"x\": 464, \"y\": 464}, {\"x\": 439, \"y\": 398}, {\"x\": 77, \"y\": 77}, {\"x\": 56, \"y\": 58}, {\"x\": 310, \"y\": 308}, {\"x\": 492, \"y\": 495}, {\"x\": 344, \"y\": 344}, {\"x\": 19, \"y\": 20}, {\"x\": 486, \"y\": 487}, {\"x\": 254, \"y\": 254}, {\"x\": 528, \"y\": 570}, {\"x\": 439, \"y\": 439}, {\"x\": 107, \"y\": 99}, {\"x\": 375, \"y\": 346}, {\"x\": 899, \"y\": 891}, {\"x\": 352, \"y\": 344}, {\"x\": 40, \"y\": 37}, {\"x\": 4, \"y\": 4}, {\"x\": 208, \"y\": 208}, {\"x\": 64, \"y\": 64}, {\"x\": 24, \"y\": 30}, {\"x\": 164, \"y\": 188}, {\"x\": 143, \"y\": 143}, {\"x\": 375, \"y\": 367}, {\"x\": 197, \"y\": 198}, {\"x\": 380, \"y\": 381}, {\"x\": 310, \"y\": 309}, {\"x\": 250, \"y\": 249}, {\"x\": 178, \"y\": 178}, {\"x\": 130, \"y\": 124}, {\"x\": 241, \"y\": 241}, {\"x\": 42, \"y\": 42}, {\"x\": 456, \"y\": 455}, {\"x\": 492, \"y\": 494}, {\"x\": 166, \"y\": 168}, {\"x\": 442, \"y\": 442}, {\"x\": 372, \"y\": 367}, {\"x\": 432, \"y\": 433}, {\"x\": 515, \"y\": 507}, {\"x\": 42, \"y\": 42}, {\"x\": 23, \"y\": 21}, {\"x\": 275, \"y\": 266}, {\"x\": 43, \"y\": 39}, {\"x\": 396, \"y\": 374}, {\"x\": 22, \"y\": 21}, {\"x\": 199, \"y\": 229}, {\"x\": 392, \"y\": 372}, {\"x\": 399, \"y\": 390}, {\"x\": 536, \"y\": 536}, {\"x\": 391, \"y\": 387}, {\"x\": 378, \"y\": 378}, {\"x\": 509, \"y\": 501}, {\"x\": 398, \"y\": 398}, {\"x\": 367, \"y\": 366}, {\"x\": 357, \"y\": 360}, {\"x\": 1, \"y\": 0}, {\"x\": 552, \"y\": 527}, {\"x\": 360, \"y\": 379}, {\"x\": 303, \"y\": 312}, {\"x\": 16, \"y\": 16}, {\"x\": 153, \"y\": 153}, {\"x\": 166, \"y\": 158}, {\"x\": 555, \"y\": 539}, {\"x\": 60, \"y\": 58}, {\"x\": 481, \"y\": 484}, {\"x\": 824, \"y\": 841}, {\"x\": 520, \"y\": 520}, {\"x\": 320, \"y\": 319}, {\"x\": 445, \"y\": 435}, {\"x\": 235, \"y\": 233}, {\"x\": 207, \"y\": 212}, {\"x\": 414, \"y\": 414}, {\"x\": 241, \"y\": 239}, {\"x\": 190, \"y\": 186}, {\"x\": 104, \"y\": 105}, {\"x\": 34, \"y\": 33}, {\"x\": 565, \"y\": 566}, {\"x\": 379, \"y\": 379}, {\"x\": 369, \"y\": 367}, {\"x\": 105, \"y\": 105}, {\"x\": 102, \"y\": 102}, {\"x\": 284, \"y\": 281}, {\"x\": 500, \"y\": 497}, {\"x\": 163, \"y\": 157}, {\"x\": 257, \"y\": 255}, {\"x\": 180, \"y\": 175}, {\"x\": 343, \"y\": 343}, {\"x\": 422, \"y\": 422}, {\"x\": 439, \"y\": 439}, {\"x\": 519, \"y\": 546}, {\"x\": 152, \"y\": 150}, {\"x\": 667, \"y\": 665}, {\"x\": 580, \"y\": 565}, {\"x\": 191, \"y\": 191}, {\"x\": 308, \"y\": 303}, {\"x\": 44, \"y\": 44}, {\"x\": 43, \"y\": 42}, {\"x\": 43, \"y\": 43}, {\"x\": 457, \"y\": 457}, {\"x\": 171, \"y\": 159}, {\"x\": 2, \"y\": 2}, {\"x\": 282, \"y\": 282}, {\"x\": 391, \"y\": 391}, {\"x\": 146, \"y\": 139}, {\"x\": 483, \"y\": 513}, {\"x\": 184, \"y\": 184}, {\"x\": 51, \"y\": 50}, {\"x\": 73, \"y\": 73}, {\"x\": 177, \"y\": 178}, {\"x\": 361, \"y\": 382}, {\"x\": 378, \"y\": 378}, {\"x\": 397, \"y\": 396}, {\"x\": 45, \"y\": 45}, {\"x\": 501, \"y\": 492}, {\"x\": 139, \"y\": 141}],\n        backgroundColor: 'rgba(110,110,115,0.28)', pointRadius: 2.4, pointHoverRadius: 4 },\n      { label: T('Fiches incoh\u00e9rentes', 'Inconsistent entries'), data: [{\"x\": 120, \"y\": 72}, {\"x\": 149, \"y\": 248}, {\"x\": 516, \"y\": 580}, {\"x\": 268, \"y\": 321}, {\"x\": 334, \"y\": 295}, {\"x\": 46, \"y\": 12}, {\"x\": 348, \"y\": 260}, {\"x\": 475, \"y\": 545}, {\"x\": 24, \"y\": 253}, {\"x\": 142, \"y\": 236}, {\"x\": 500, \"y\": 400}, {\"x\": 557, \"y\": 476}, {\"x\": 393, \"y\": 35}, {\"x\": 529, \"y\": 232}, {\"x\": 30, \"y\": 444}, {\"x\": 467, \"y\": 532}, {\"x\": 300, \"y\": 240}, {\"x\": 712, \"y\": 376}, {\"x\": 441, \"y\": 491}, {\"x\": 7, \"y\": 400}, {\"x\": 200, \"y\": 170}, {\"x\": 1, \"y\": 109}, {\"x\": 562, \"y\": 644}, {\"x\": 342, \"y\": 416}, {\"x\": 179, \"y\": 286}, {\"x\": 20, \"y\": 53}, {\"x\": 280, \"y\": 147}, {\"x\": 460, \"y\": 408}, {\"x\": 533, \"y\": 600}, {\"x\": 571, \"y\": 643}, {\"x\": 100, \"y\": 260}, {\"x\": 165, \"y\": 329}, {\"x\": 390, \"y\": 336}, {\"x\": 151, \"y\": 197}, {\"x\": 105, \"y\": 22}, {\"x\": 376, \"y\": 293}, {\"x\": 423, \"y\": 475}, {\"x\": 340, \"y\": 414}, {\"x\": 600, \"y\": 533}, {\"x\": 163, \"y\": 194}, {\"x\": 114, \"y\": 269}, {\"x\": 362, \"y\": 317}, {\"x\": 382, \"y\": 439}, {\"x\": 179, \"y\": 296}, {\"x\": 510, \"y\": 333}, {\"x\": 346, \"y\": 274}, {\"x\": 208, \"y\": 4}, {\"x\": 10, \"y\": 550}, {\"x\": 701, \"y\": 163}, {\"x\": 350, \"y\": 157}, {\"x\": 383, \"y\": 337}, {\"x\": 162, \"y\": 266}, {\"x\": 10, \"y\": 255}, {\"x\": 421, \"y\": 378}, {\"x\": 6, \"y\": 92}, {\"x\": 292, \"y\": 96}, {\"x\": 1, \"y\": 253}, {\"x\": 232, \"y\": 200}, {\"x\": 372, \"y\": 154}, {\"x\": 369, \"y\": 435}, {\"x\": 434, \"y\": 552}, {\"x\": 51, \"y\": 138}, {\"x\": 364, \"y\": 302}, {\"x\": 369, \"y\": 449}, {\"x\": 374, \"y\": 232}, {\"x\": 686, \"y\": 611}, {\"x\": 3, \"y\": 178}, {\"x\": 195, \"y\": 735}, {\"x\": 503, \"y\": 39}, {\"x\": 221, \"y\": 313}, {\"x\": 893, \"y\": 211}, {\"x\": 407, \"y\": 71}, {\"x\": 290, \"y\": 52}, {\"x\": 24, \"y\": 88}, {\"x\": 306, \"y\": 262}, {\"x\": 492, \"y\": 429}, {\"x\": 115, \"y\": 351}, {\"x\": 424, \"y\": 324}, {\"x\": 482, \"y\": 114}, {\"x\": 375, \"y\": 260}, {\"x\": 555, \"y\": 160}, {\"x\": 444, \"y\": 384}, {\"x\": 137, \"y\": 213}, {\"x\": 276, \"y\": 202}, {\"x\": 219, \"y\": 362}, {\"x\": 269, \"y\": 525}, {\"x\": 100, \"y\": 247}, {\"x\": 81, \"y\": 28}, {\"x\": 412, \"y\": 499}, {\"x\": 275, \"y\": 310}, {\"x\": 247, \"y\": 286}, {\"x\": 171, \"y\": 101}, {\"x\": 563, \"y\": 134}, {\"x\": 151, \"y\": 371}, {\"x\": 170, \"y\": 268}, {\"x\": 15, \"y\": 404}, {\"x\": 281, \"y\": 321}, {\"x\": 556, \"y\": 133}, {\"x\": 376, \"y\": 332}, {\"x\": 193, \"y\": 139}, {\"x\": 170, \"y\": 122}, {\"x\": 13, \"y\": 320}, {\"x\": 402, \"y\": 310}, {\"x\": 286, \"y\": 238}, {\"x\": 476, \"y\": 113}, {\"x\": 289, \"y\": 476}, {\"x\": 89, \"y\": 121}, {\"x\": 68, \"y\": 150}, {\"x\": 202, \"y\": 119}, {\"x\": 50, \"y\": 4}, {\"x\": 339, \"y\": 282}, {\"x\": 333, \"y\": 272}, {\"x\": 24, \"y\": 223}, {\"x\": 239, \"y\": 185}, {\"x\": 475, \"y\": 592}, {\"x\": 178, \"y\": 257}, {\"x\": 233, \"y\": 287}, {\"x\": 191, \"y\": 158}, {\"x\": 353, \"y\": 422}, {\"x\": 32, \"y\": 100}, {\"x\": 385, \"y\": 518}, {\"x\": 361, \"y\": 462}, {\"x\": 144, \"y\": 38}, {\"x\": 350, \"y\": 472}, {\"x\": 395, \"y\": 445}, {\"x\": 388, \"y\": 466}, {\"x\": 480, \"y\": 592}, {\"x\": 328, \"y\": 288}, {\"x\": 353, \"y\": 465}, {\"x\": 640, \"y\": 362}, {\"x\": 150, \"y\": 187}, {\"x\": 333, \"y\": 40}, {\"x\": 255, \"y\": 175}, {\"x\": 96, \"y\": 192}, {\"x\": 2, \"y\": 398}, {\"x\": 200, \"y\": 241}, {\"x\": 8, \"y\": 57}, {\"x\": 144, \"y\": 112}, {\"x\": 115, \"y\": 75}, {\"x\": 400, \"y\": 480}, {\"x\": 236, \"y\": 392}, {\"x\": 400, \"y\": 326}, {\"x\": 360, \"y\": 102}, {\"x\": 333, \"y\": 400}, {\"x\": 274, \"y\": 162}, {\"x\": 5, \"y\": 133}, {\"x\": 541, \"y\": 465}, {\"x\": 400, \"y\": 534}, {\"x\": 350, \"y\": 102}, {\"x\": 200, \"y\": 80}, {\"x\": 110, \"y\": 216}, {\"x\": 283, \"y\": 427}, {\"x\": 25, \"y\": 92}, {\"x\": 344, \"y\": 82}, {\"x\": 207, \"y\": 281}, {\"x\": 367, \"y\": 320}, {\"x\": 447, \"y\": 533}, {\"x\": 262, \"y\": 297}, {\"x\": 482, \"y\": 399}, {\"x\": 238, \"y\": 292}, {\"x\": 130, \"y\": 224}, {\"x\": 510, \"y\": 293}, {\"x\": 63, \"y\": 118}, {\"x\": 367, \"y\": 437}, {\"x\": 400, \"y\": 353}, {\"x\": 34, \"y\": 151}, {\"x\": 110, \"y\": 269}, {\"x\": 200, \"y\": 29}, {\"x\": 2, \"y\": 126}, {\"x\": 477, \"y\": 358}, {\"x\": 502, \"y\": 268}, {\"x\": 419, \"y\": 589}, {\"x\": 556, \"y\": 489}, {\"x\": 720, \"y\": 363}, {\"x\": 660, \"y\": 223}, {\"x\": 221, \"y\": 257}, {\"x\": 7, \"y\": 210}, {\"x\": 250, \"y\": 442}, {\"x\": 133, \"y\": 99}, {\"x\": 2, \"y\": 435}, {\"x\": 100, \"y\": 416}, {\"x\": 292, \"y\": 260}, {\"x\": 164, \"y\": 220}, {\"x\": 132, \"y\": 200}, {\"x\": 366, \"y\": 528}, {\"x\": 155, \"y\": 34}, {\"x\": 316, \"y\": 391}, {\"x\": 316, \"y\": 399}, {\"x\": 348, \"y\": 276}, {\"x\": 431, \"y\": 384}, {\"x\": 185, \"y\": 51}, {\"x\": 907, \"y\": 215}, {\"x\": 169, \"y\": 390}, {\"x\": 190, \"y\": 136}, {\"x\": 170, \"y\": 122}, {\"x\": 159, \"y\": 289}, {\"x\": 563, \"y\": 129}, {\"x\": 514, \"y\": 401}, {\"x\": 485, \"y\": 115}, {\"x\": 11, \"y\": 100}, {\"x\": 176, \"y\": 92}, {\"x\": 416, \"y\": 372}, {\"x\": 247, \"y\": 170}, {\"x\": 122, \"y\": 171}, {\"x\": 125, \"y\": 29}, {\"x\": 20, \"y\": 57}, {\"x\": 102, \"y\": 22}, {\"x\": 108, \"y\": 149}, {\"x\": 780, \"y\": 187}, {\"x\": 93, \"y\": 215}, {\"x\": 154, \"y\": 200}, {\"x\": 297, \"y\": 336}, {\"x\": 547, \"y\": 128}, {\"x\": 161, \"y\": 193}, {\"x\": 673, \"y\": 161}, {\"x\": 205, \"y\": 150}, {\"x\": 403, \"y\": 94}, {\"x\": 513, \"y\": 121}, {\"x\": 185, \"y\": 229}, {\"x\": 228, \"y\": 186}, {\"x\": 426, \"y\": 141}, {\"x\": 359, \"y\": 321}, {\"x\": 121, \"y\": 417}, {\"x\": 462, \"y\": 97}, {\"x\": 288, \"y\": 242}, {\"x\": 20, \"y\": 364}, {\"x\": 765, \"y\": 176}, {\"x\": 346, \"y\": 86}, {\"x\": 3, \"y\": 51}, {\"x\": 185, \"y\": 154}, {\"x\": 281, \"y\": 321}, {\"x\": 45, \"y\": 101}, {\"x\": 95, \"y\": 18}, {\"x\": 156, \"y\": 554}, {\"x\": 141, \"y\": 252}, {\"x\": 470, \"y\": 112}, {\"x\": 220, \"y\": 454}, {\"x\": 654, \"y\": 158}, {\"x\": 342, \"y\": 569}, {\"x\": 228, \"y\": 260}, {\"x\": 708, \"y\": 169}, {\"x\": 327, \"y\": 401}, {\"x\": 296, \"y\": 239}, {\"x\": 225, \"y\": 297}, {\"x\": 381, \"y\": 287}, {\"x\": 403, \"y\": 187}, {\"x\": 108, \"y\": 200}, {\"x\": 313, \"y\": 363}, {\"x\": 263, \"y\": 301}, {\"x\": 498, \"y\": 445}, {\"x\": 600, \"y\": 408}, {\"x\": 498, \"y\": 556}, {\"x\": 37, \"y\": 106}, {\"x\": 282, \"y\": 249}, {\"x\": 16, \"y\": 431}, {\"x\": 100, \"y\": 298}, {\"x\": 462, \"y\": 402}, {\"x\": 463, \"y\": 383}, {\"x\": 140, \"y\": 408}, {\"x\": 404, \"y\": 358}, {\"x\": 645, \"y\": 572}, {\"x\": 120, \"y\": 190}, {\"x\": 232, \"y\": 264}, {\"x\": 244, \"y\": 311}, {\"x\": 475, \"y\": 419}, {\"x\": 501, \"y\": 120}, {\"x\": 135, \"y\": 239}, {\"x\": 112, \"y\": 399}, {\"x\": 171, \"y\": 344}, {\"x\": 30, \"y\": 232}, {\"x\": 422, \"y\": 96}, {\"x\": 62, \"y\": 511}, {\"x\": 100, \"y\": 58}, {\"x\": 131, \"y\": 31}, {\"x\": 398, \"y\": 94}, {\"x\": 4, \"y\": 259}, {\"x\": 251, \"y\": 217}, {\"x\": 169, \"y\": 224}, {\"x\": 245, \"y\": 152}, {\"x\": 465, \"y\": 110}, {\"x\": 351, \"y\": 309}, {\"x\": 361, \"y\": 315}, {\"x\": 147, \"y\": 24}, {\"x\": 42, \"y\": 83}, {\"x\": 401, \"y\": 94}, {\"x\": 177, \"y\": 142}, {\"x\": 32, \"y\": 362}, {\"x\": 281, \"y\": 453}, {\"x\": 11, \"y\": 461}, {\"x\": 28, \"y\": 428}, {\"x\": 239, \"y\": 272}, {\"x\": 144, \"y\": 386}, {\"x\": 100, \"y\": 400}, {\"x\": 529, \"y\": 126}, {\"x\": 493, \"y\": 114}, {\"x\": 238, \"y\": 55}, {\"x\": 274, \"y\": 328}, {\"x\": 251, \"y\": 161}, {\"x\": 325, \"y\": 383}, {\"x\": 74, \"y\": 514}, {\"x\": 26, \"y\": 104}, {\"x\": 245, \"y\": 285}, {\"x\": 24, \"y\": 242}, {\"x\": 163, \"y\": 272}, {\"x\": 283, \"y\": 229}, {\"x\": 492, \"y\": 566}, {\"x\": 544, \"y\": 622}, {\"x\": 67, \"y\": 116}, {\"x\": 900, \"y\": 268}, {\"x\": 54, \"y\": 220}, {\"x\": 32, \"y\": 324}, {\"x\": 245, \"y\": 311}, {\"x\": 444, \"y\": 360}, {\"x\": 2, \"y\": 137}, {\"x\": 220, \"y\": 0}, {\"x\": 285, \"y\": 236}, {\"x\": 189, \"y\": 391}, {\"x\": 108, \"y\": 20}, {\"x\": 3, \"y\": 145}, {\"x\": 417, \"y\": 498}, {\"x\": 199, \"y\": 253}, {\"x\": 65, \"y\": 130}, {\"x\": 298, \"y\": 256}, {\"x\": 306, \"y\": 249}, {\"x\": 295, \"y\": 236}, {\"x\": 297, \"y\": 209}, {\"x\": 5, \"y\": 45}, {\"x\": 275, \"y\": 243}, {\"x\": 242, \"y\": 301}, {\"x\": 404, \"y\": 307}, {\"x\": 240, \"y\": 392}, {\"x\": 372, \"y\": 418}, {\"x\": 234, \"y\": 420}, {\"x\": 225, \"y\": 256}, {\"x\": 278, \"y\": 223}, {\"x\": 204, \"y\": 153}, {\"x\": 235, \"y\": 176}, {\"x\": 559, \"y\": 498}, {\"x\": 239, \"y\": 269}, {\"x\": 229, \"y\": 5}, {\"x\": 193, \"y\": 231}, {\"x\": 331, \"y\": 572}, {\"x\": 2, \"y\": 320}, {\"x\": 617, \"y\": 537}, {\"x\": 303, \"y\": 265}, {\"x\": 336, \"y\": 401}, {\"x\": 43, \"y\": 104}, {\"x\": 279, \"y\": 198}, {\"x\": 306, \"y\": 265}, {\"x\": 249, \"y\": 327}, {\"x\": 720, \"y\": 540}, {\"x\": 1, \"y\": 42}, {\"x\": 330, \"y\": 288}, {\"x\": 6, \"y\": 666}, {\"x\": 285, \"y\": 236}, {\"x\": 193, \"y\": 5}, {\"x\": 233, \"y\": 388}, {\"x\": 258, \"y\": 185}, {\"x\": 352, \"y\": 278}, {\"x\": 47, \"y\": 295}, {\"x\": 315, \"y\": 239}, {\"x\": 361, \"y\": 310}, {\"x\": 170, \"y\": 230}, {\"x\": 394, \"y\": 349}, {\"x\": 268, \"y\": 315}, {\"x\": 45, \"y\": 88}, {\"x\": 170, \"y\": 137}, {\"x\": 355, \"y\": 297}, {\"x\": 193, \"y\": 430}, {\"x\": 415, \"y\": 324}, {\"x\": 20, \"y\": 60}, {\"x\": 297, \"y\": 355}, {\"x\": 655, \"y\": 579}, {\"x\": 69, \"y\": 105}, {\"x\": 87, \"y\": 49}, {\"x\": 371, \"y\": 223}, {\"x\": 301, \"y\": 373}, {\"x\": 213, \"y\": 245}, {\"x\": 400, \"y\": 612}, {\"x\": 101, \"y\": 26}, {\"x\": 500, \"y\": 660}, {\"x\": 291, \"y\": 252}, {\"x\": 372, \"y\": 416}, {\"x\": 734, \"y\": 177}, {\"x\": 188, \"y\": 153}, {\"x\": 308, \"y\": 396}, {\"x\": 430, \"y\": 101}, {\"x\": 502, \"y\": 233}, {\"x\": 660, \"y\": 40}, {\"x\": 418, \"y\": 152}, {\"x\": 275, \"y\": 309}, {\"x\": 410, \"y\": 357}, {\"x\": 310, \"y\": 268}, {\"x\": 370, \"y\": 415}, {\"x\": 301, \"y\": 338}, {\"x\": 211, \"y\": 117}, {\"x\": 325, \"y\": 364}, {\"x\": 308, \"y\": 277}, {\"x\": 341, \"y\": 382}, {\"x\": 180, \"y\": 36}, {\"x\": 565, \"y\": 133}, {\"x\": 340, \"y\": 267}, {\"x\": 408, \"y\": 97}, {\"x\": 1, \"y\": 42}, {\"x\": 39, \"y\": 165}, {\"x\": 241, \"y\": 285}, {\"x\": 131, \"y\": 32}, {\"x\": 249, \"y\": 193}, {\"x\": 374, \"y\": 170}, {\"x\": 299, \"y\": 256}, {\"x\": 549, \"y\": 484}, {\"x\": 5, \"y\": 60}, {\"x\": 97, \"y\": 137}, {\"x\": 219, \"y\": 123}, {\"x\": 199, \"y\": 295}, {\"x\": 3, \"y\": 120}, {\"x\": 755, \"y\": 180}, {\"x\": 451, \"y\": 368}, {\"x\": 337, \"y\": 295}, {\"x\": 51, \"y\": 151}],\n        backgroundColor: 'rgba(255,45,110,0.75)', pointRadius: 3.2, pointHoverRadius: 5 },\n      { label: T('Fiche parfaite (d\u00e9clar\u00e9 = recalcul\u00e9)', 'Perfect entry (declared = recomputed)'), type: 'line',\n        data: [{x: 0, y: 0}, {x: 950, y: 950}], borderColor: INK, borderWidth: 1.2, borderDash: [6, 5],\n        pointRadius: 0, fill: false }\n    ] },\n    options: { responsive: true, maintainAspectRatio: false, devicePixelRatio: DPR,\n      plugins: { legend: { position: 'bottom', labels: { color: INK, boxWidth: 12, boxHeight: 12, padding: 14, font: { size: 12 }, filter: function(i){ return true; } } },\n        tooltip: { callbacks: { label: function(c){ return T(' fiche ', ' entry ') + c.parsed.x + T(' kcal, macros ', ' kcal, macros ') + c.parsed.y + ' kcal'; } } } },\n      scales: {\n        x: { min: 0, max: 950, grid: { color: RULE }, ticks: { color: MUTED, font: { size: 11 } },\n          title: { display: true, text: T('Calories d\u00e9clar\u00e9es (kcal\/100g)', 'Declared calories (kcal\/100g)'), color: MUTED, font: { size: 12 } } },\n        y: { min: 0, max: 950, grid: { color: RULE }, ticks: { color: MUTED, font: { size: 11 } },\n          title: { display: true, text: T('Calories recalcul\u00e9es depuis les macros', 'Recomputed from macros'), color: MUTED, font: { size: 12 } } }\n      } }\n  });\n\n  \/\/ 3. Courbe de distribution des ecarts (aire, echelle log)\n  var elH = document.getElementById('chartHisto');\n  if (elH) new Chart(elH, {\n    type: 'line',\n    data: {\n      labels: [T('0-2 %', '0-2%'), T('2-5 %', '2-5%'), T('5-10 %', '5-10%'), T('10-20 %', '10-20%'), T('20-35 %', '20-35%'), T('35-50 %', '35-50%'), T('50-75 %', '50-75%'), T('75-100 %', '75-100%')],\n      datasets: [{ data: [568136, 132669, 63751, 40547, 15887, 7617, 11270, 14530], borderColor: PINK, borderWidth: 2.5, tension: 0.35,\n        pointRadius: 4, pointBackgroundColor: '#FFFFFF', pointBorderColor: PINK, pointBorderWidth: 2,\n        fill: true, backgroundColor: function(c){ return pinkGrad(c.chart.ctx, 0.28); } }]\n    },\n    options: { responsive: true, maintainAspectRatio: false, devicePixelRatio: DPR,\n      plugins: { legend: { display: false },\n        tooltip: { callbacks: { label: function(c){ return ' ' + nf(c.parsed.y) + T(' produits', ' products'); } } } },\n      scales: {\n        y: { type: 'logarithmic', min: 1000, grid: { color: RULE },\n          ticks: { color: MUTED, font: { size: 11 }, callback: function(v){ return [1000, 10000, 100000, 1000000].indexOf(v) >= 0 ? nf(v) : null; } } },\n        x: { grid: { display: false }, ticks: { color: INK, font: { size: 11 } },\n          title: { display: true, text: T('\u00c9cart entre calories d\u00e9clar\u00e9es et recalcul\u00e9es', 'Gap between declared and recomputed calories'), color: MUTED, font: { size: 12 } } }\n      } }\n  });\n\n  \/\/ 4. Barres : seuils\n  var elS = document.getElementById('chartSeuils');\n  if (elS) new Chart(elS, {\n    type: 'bar',\n    data: {\n      labels: [T('\u00e9cart > 10 %', 'gap > 10%'), T('\u00e9cart > 20 %', 'gap > 20%'), T('\u00e9cart > 50 %', 'gap > 50%'), T('du simple au double', 'off by 2x or more')],\n      datasets: [{ data: [46757, 31867, 18215, 18251],\n        backgroundColor: ['rgba(255,45,110,0.35)', 'rgba(255,45,110,0.55)', 'rgba(255,45,110,0.8)', PINK],\n        borderRadius: 8, maxBarThickness: 84 }]\n    },\n    options: { responsive: true, maintainAspectRatio: false, devicePixelRatio: DPR,\n      plugins: { legend: { display: false },\n        tooltip: { callbacks: { label: function(c){ return ' ' + nf(c.parsed.y) + T(' produits', ' products'); } } } },\n      scales: {\n        y: { beginAtZero: true, grid: { color: RULE }, ticks: { color: MUTED, callback: function(v){ return (v \/ 1000) + ' k'; } } },\n        x: { grid: { display: false }, ticks: { color: INK, font: { size: 12 } } }\n      } }\n  });\n\n  \/\/ 5. Bulles : categories dispatchees (x volume log, y taux, r fiches incoherentes)\n  var BUB = [{\"x\": 15828, \"y\": 6.05, \"r\": 19, \"fr\": \"\u00c9picerie\", \"en\": \"Groceries\", \"inc\": 958}, {\"x\": 4147, \"y\": 8.2, \"r\": 12, \"fr\": \"Bonbons\", \"en\": \"Candies\", \"inc\": 340}, {\"x\": 1328, \"y\": 20.78, \"r\": 10, \"fr\": \"Barres prot\u00e9in\u00e9es\", \"en\": \"Protein bars\", \"inc\": 276}, {\"x\": 2973, \"y\": 5.95, \"r\": 8, \"fr\": \"Fromages\", \"en\": \"Cheeses\", \"inc\": 177}, {\"x\": 3107, \"y\": 4.38, \"r\": 7, \"fr\": \"Boissons\", \"en\": \"Beverages\", \"inc\": 136}, {\"x\": 4132, \"y\": 3.12, \"r\": 7, \"fr\": \"Biscuits\", \"en\": \"Biscuits\", \"inc\": 129}, {\"x\": 1416, \"y\": 8.83, \"r\": 7, \"fr\": \"Confiseries\", \"en\": \"Confectioneries\", \"inc\": 125}, {\"x\": 6271, \"y\": 1.91, \"r\": 7, \"fr\": \"Boissons sucr\u00e9es\", \"en\": \"Sweetened beverages\", \"inc\": 120}, {\"x\": 2619, \"y\": 4.54, \"r\": 7, \"fr\": \"Chocolats noirs\", \"en\": \"Dark chocolates\", \"inc\": 119}, {\"x\": 3123, \"y\": 3.46, \"r\": 6, \"fr\": \"Jambons blancs\", \"en\": \"White hams\", \"inc\": 108}];\n  var elB = document.getElementById('chartBubble');\n  if (elB) new Chart(elB, {\n    type: 'bubble',\n    data: { datasets: BUB.map(function(b, i){\n      return { label: T(b.fr, b.en), data: [{x: b.x, y: b.y, r: b.r}],\n        backgroundColor: b.y >= 15 ? 'rgba(255,45,110,0.85)' : (b.y >= 6 ? 'rgba(255,45,110,0.55)' : 'rgba(255,45,110,0.3)'),\n        borderColor: PINK, borderWidth: 1 };\n    }) },\n    options: { responsive: true, maintainAspectRatio: false, devicePixelRatio: DPR,\n      plugins: { legend: { position: 'bottom', labels: { color: INK, boxWidth: 10, boxHeight: 10, padding: 10, font: { size: 11 } } },\n        tooltip: { callbacks: { label: function(c){ var b = BUB[c.datasetIndex];\n          return ' ' + T(b.fr, b.en) + ' : ' + b.y + T(' % incoh\u00e9rentes (', '% inconsistent (') + nf(b.inc) + T(' fiches sur ', ' of ') + nf(b.x) + ')'; } } } },\n      scales: {\n        x: { type: 'logarithmic', min: 900, max: 20000, grid: { color: RULE },\n          ticks: { color: MUTED, font: { size: 11 }, callback: function(v){ return [1000, 2000, 5000, 10000, 20000].indexOf(v) >= 0 ? nf(v) : null; } },\n          title: { display: true, text: T('Produits dans la cat\u00e9gorie (\u00e9chelle log)', 'Products in category (log scale)'), color: MUTED, font: { size: 12 } } },\n        y: { min: 0, max: 24, grid: { color: RULE }, ticks: { color: MUTED, callback: function(v){ return v + ' %'; } },\n          title: { display: true, text: T('Part de fiches incoh\u00e9rentes', 'Share of inconsistent entries'), color: MUTED, font: { size: 12 } } }\n      } }\n  });\n\n  \/\/ 6. Barres horizontales : categories\n  var elC = document.getElementById('chartCats');\n  if (elC) new Chart(elC, {\n    type: 'bar',\n    data: {\n      labels: [[\"Barres prot\u00e9in\u00e9es\", \"Protein bars\"], [\"Confiseries\", \"Confectioneries\"], [\"Bonbons\", \"Candies\"], [\"\u00c9picerie\", \"Groceries\"], [\"Fromages\", \"Cheeses\"], [\"Chocolats noirs\", \"Dark chocolates\"], [\"Boissons\", \"Beverages\"], [\"Jambons blancs\", \"White hams\"]].map(function(p){ return T(p[0], p[1]); }),\n      datasets: [{ data: [20.78, 8.83, 8.2, 6.05, 5.95, 4.54, 4.38, 3.46], backgroundColor: PINKS, borderRadius: 7, maxBarThickness: 30 }]\n    },\n    options: { indexAxis: 'y', responsive: true, maintainAspectRatio: false, devicePixelRatio: DPR,\n      plugins: { legend: { display: false },\n        tooltip: { callbacks: { label: function(c){ return ' ' + c.parsed.x.toLocaleString('fr-FR') + T(' % de fiches incoh\u00e9rentes', '% inconsistent entries'); } } } },\n      scales: {\n        x: { beginAtZero: true, grid: { color: RULE }, ticks: { color: MUTED, callback: function(v){ return v + ' %'; } } },\n        y: { grid: { display: false }, ticks: { color: INK, font: { size: 12.5 } } }\n      } }\n  });\n\n  \/\/ 7. Courbe temporelle : qualite par annee de creation de la fiche\n  var elY = document.getElementById('chartYears');\n  if (elY) new Chart(elY, {\n    type: 'line',\n    data: { labels: [\"2012\", \"2013\", \"2014\", \"2015\", \"2016\", \"2017\", \"2018\", \"2019\", \"2020\", \"2021\", \"2022\", \"2023\", \"2024\", \"2025\", \"2026\"],\n      datasets: [{ data: [2.5, 3.09, 2.55, 2.73, 2.62, 3.68, 5.88, 6.01, 7.34, 7.5, 7.44, 4.1, 3.92, 2.86, 4.12], borderColor: PINK, borderWidth: 2.5, tension: 0.4,\n        pointRadius: 4, pointBackgroundColor: '#FFFFFF', pointBorderColor: PINK, pointBorderWidth: 2,\n        fill: true, backgroundColor: function(c){ return pinkGrad(c.chart.ctx, 0.22); } }] },\n    options: { responsive: true, maintainAspectRatio: false, devicePixelRatio: DPR,\n      plugins: { legend: { display: false },\n        tooltip: { callbacks: { label: function(c){ return ' ' + c.parsed.y + T(' % des fiches cr\u00e9\u00e9es cette ann\u00e9e-l\u00e0 sont incoh\u00e9rentes', '% of entries created that year are inconsistent'); } } } },\n      scales: {\n        y: { min: 0, max: 9, grid: { color: RULE }, ticks: { color: MUTED, callback: function(v){ return v + ' %'; } } },\n        x: { grid: { display: false }, ticks: { color: INK, font: { size: 11 } },\n          title: { display: true, text: T('Ann\u00e9e de cr\u00e9ation de la fiche', 'Year the entry was created'), color: MUTED, font: { size: 12 } } }\n      } }\n  });\n})();\n<\/script>\n<\/div>\n<script data-wpmeteor-nooptimize=\"true\" src=\"https:\/\/cdn.jsdelivr.net\/npm\/chart.js@4.4.4\/dist\/chart.umd.min.js\"><\/script>\n<script data-wpmeteor-nooptimize=\"true\" src=\"https:\/\/cdn.jsdelivr.net\/npm\/chartjs-plugin-annotation@3.1.0\/dist\/chartjs-plugin-annotation.min.js\"><\/script>","protected":false},"excerpt":{"rendered":"<p>Lean Calculateur TDEE Accueil &nbsp;\/&nbsp; \u00c9tude base de donn\u00e9es calories \u00c9tude originale &middot; Donn\u00e9es publiques 857&nbsp;655 produits analys\u00e9s. Ce que ton scanner de calories ne te dit pas. Chaque scan de code-barres en France interroge la m\u00eame base. Nous l&rsquo;avons analys\u00e9e en entier. Plus d&rsquo;un scan sur trois renvoie une donn\u00e9e absente, incompl\u00e8te ou incoh\u00e9rente. [&hellip;]<\/p>","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"single-lvm-blank","format":"standard","meta":{"footnotes":""},"categories":[1],"tags":[],"class_list":["post-1947","post","type-post","status-publish","format-standard","hentry","category-uncategorized"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v25.6 - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>Analysoimme 857 655 Ranskassa myyty\u00e4 tuotetta: mit\u00e4 kaloriskannerisi ei kerro sinulle - Lean<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/lean-app.com\/fi\/etude-base-donnees-calories\/\" \/>\n<meta property=\"og:locale\" content=\"fi_FI\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Analysoimme 857 655 Ranskassa myyty\u00e4 tuotetta: mit\u00e4 kaloriskannerisi ei kerro sinulle - Lean\" \/>\n<meta property=\"og:description\" content=\"Lean Calculateur TDEE Accueil &nbsp;\/&nbsp; \u00c9tude base de donn\u00e9es calories \u00c9tude originale &middot; Donn\u00e9es publiques 857&nbsp;655 produits analys\u00e9s. Ce que ton scanner de calories ne te dit pas. Chaque scan de code-barres en France interroge la m\u00eame base. Nous l&rsquo;avons analys\u00e9e en entier. Plus d&rsquo;un scan sur trois renvoie une donn\u00e9e absente, incompl\u00e8te ou incoh\u00e9rente. [&hellip;]\" \/>\n<meta property=\"og:url\" content=\"https:\/\/lean-app.com\/fi\/etude-base-donnees-calories\/\" \/>\n<meta property=\"og:site_name\" content=\"Lean\" \/>\n<meta property=\"article:publisher\" content=\"https:\/\/www.facebook.com\/share\/1GXD3qyMBy\/?mibextid=wwXIfr\" \/>\n<meta property=\"article:published_time\" content=\"2026-08-23T20:43:53+00:00\" \/>\n<meta property=\"article:modified_time\" content=\"2026-09-05T10:39:09+00:00\" \/>\n<meta property=\"og:image\" content=\"https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-logo-lean-square-scaled.webp\" \/>\n<meta name=\"author\" content=\"L&#039;\u00e9quipe Lean\" \/>\n<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\n<meta name=\"twitter:label1\" content=\"Written by\" \/>\n\t<meta name=\"twitter:data1\" content=\"L&#039;\u00e9quipe Lean\" \/>\n\t<meta name=\"twitter:label2\" content=\"Est. reading time\" \/>\n\t<meta name=\"twitter:data2\" content=\"9 minutes\" \/>\n<script type=\"application\/ld+json\" class=\"yoast-schema-graph\">{\"@context\":\"https:\/\/schema.org\",\"@graph\":[{\"@type\":\"Article\",\"@id\":\"https:\/\/lean-app.com\/etude-base-donnees-calories\/#article\",\"isPartOf\":{\"@id\":\"https:\/\/lean-app.com\/etude-base-donnees-calories\/\"},\"author\":{\"@id\":\"https:\/\/lean-app.com\/#organization\"},\"headline\":\"Nous avons analys\u00e9 857 655 produits vendus en France : ce que ton scanner de calories ne te dit pas\",\"datePublished\":\"2026-08-23T20:43:53+00:00\",\"dateModified\":\"2026-09-05T10:39:09+00:00\",\"mainEntityOfPage\":{\"@id\":\"https:\/\/lean-app.com\/etude-base-donnees-calories\/\"},\"wordCount\":1781,\"commentCount\":0,\"publisher\":{\"@id\":\"https:\/\/lean-app.com\/#organization\"},\"image\":{\"@id\":\"https:\/\/lean-app.com\/etude-base-donnees-calories\/#primaryimage\"},\"thumbnailUrl\":\"https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-logo-lean-square-scaled.webp\",\"inLanguage\":\"fi\",\"potentialAction\":[{\"@type\":\"CommentAction\",\"name\":\"Comment\",\"target\":[\"https:\/\/lean-app.com\/etude-base-donnees-calories\/#respond\"]}]},{\"@type\":\"WebPage\",\"@id\":\"https:\/\/lean-app.com\/etude-base-donnees-calories\/\",\"url\":\"https:\/\/lean-app.com\/etude-base-donnees-calories\/\",\"name\":\"Nous avons analys\u00e9 857 655 produits vendus en France : ce que ton scanner de calories ne te dit pas - Lean\",\"isPartOf\":{\"@id\":\"https:\/\/lean-app.com\/#website\"},\"primaryImageOfPage\":{\"@id\":\"https:\/\/lean-app.com\/etude-base-donnees-calories\/#primaryimage\"},\"image\":{\"@id\":\"https:\/\/lean-app.com\/etude-base-donnees-calories\/#primaryimage\"},\"thumbnailUrl\":\"https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-logo-lean-square-scaled.webp\",\"datePublished\":\"2026-08-23T20:43:53+00:00\",\"dateModified\":\"2026-09-05T10:39:09+00:00\",\"breadcrumb\":{\"@id\":\"https:\/\/lean-app.com\/etude-base-donnees-calories\/#breadcrumb\"},\"inLanguage\":\"fi\",\"potentialAction\":[{\"@type\":\"ReadAction\",\"target\":[\"https:\/\/lean-app.com\/etude-base-donnees-calories\/\"]}]},{\"@type\":\"ImageObject\",\"inLanguage\":\"fi\",\"@id\":\"https:\/\/lean-app.com\/etude-base-donnees-calories\/#primaryimage\",\"url\":\"https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-logo-lean-square-scaled.webp\",\"contentUrl\":\"https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-logo-lean-square-scaled.webp\"},{\"@type\":\"BreadcrumbList\",\"@id\":\"https:\/\/lean-app.com\/etude-base-donnees-calories\/#breadcrumb\",\"itemListElement\":[{\"@type\":\"ListItem\",\"position\":1,\"name\":\"Home\",\"item\":\"https:\/\/lean-app.com\/\"},{\"@type\":\"ListItem\",\"position\":2,\"name\":\"Nous avons analys\u00e9 857 655 produits vendus en France : ce que ton scanner de calories ne te dit pas\"}]},{\"@type\":\"WebSite\",\"@id\":\"https:\/\/lean-app.com\/#website\",\"url\":\"https:\/\/lean-app.com\/\",\"name\":\"Lean\",\"description\":\"T\u00e9l\u00e9charge, essaye GRATUITEMENT l&#039;application et prends en main ton corps \u00c0 VIE.\",\"publisher\":{\"@id\":\"https:\/\/lean-app.com\/#organization\"},\"potentialAction\":[{\"@type\":\"SearchAction\",\"target\":{\"@type\":\"EntryPoint\",\"urlTemplate\":\"https:\/\/lean-app.com\/?s={search_term_string}\"},\"query-input\":{\"@type\":\"PropertyValueSpecification\",\"valueRequired\":true,\"valueName\":\"search_term_string\"}}],\"inLanguage\":\"fi\"},{\"@type\":\"Organization\",\"@id\":\"https:\/\/lean-app.com\/#organization\",\"name\":\"Lean\",\"url\":\"https:\/\/lean-app.com\/\",\"logo\":{\"@type\":\"ImageObject\",\"inLanguage\":\"fi\",\"@id\":\"https:\/\/lean-app.com\/#\/schema\/logo\/image\/\",\"url\":\"https:\/\/lean-app.com\/wp-content\/uploads\/2025\/08\/Logo-for-Lean-App-the-best-calorie-and-TDEE-tracking-application.png\",\"contentUrl\":\"https:\/\/lean-app.com\/wp-content\/uploads\/2025\/08\/Logo-for-Lean-App-the-best-calorie-and-TDEE-tracking-application.png\",\"width\":1672,\"height\":1484,\"caption\":\"Lean\"},\"image\":{\"@id\":\"https:\/\/lean-app.com\/#\/schema\/logo\/image\/\"},\"sameAs\":[\"https:\/\/www.facebook.com\/share\/1GXD3qyMBy\/?mibextid=wwXIfr\",\"https:\/\/apps.apple.com\/fr\/app\/lean-calorie-ai-podometre\/id6738668646\",\"https:\/\/play.google.com\/store\/apps\/details?id=com.lean.testsqflite\",\"https:\/\/app.dealroom.co\/companies\/lean_calorie_tracker\",\"https:\/\/alternativeto.net\/software\/lean-calorie-tracker\/\"]}]}<\/script>\n<!-- \/ Yoast SEO plugin. -->","yoast_head_json":{"title":"Analysoimme 857 655 Ranskassa myyty\u00e4 tuotetta: mit\u00e4 kaloriskannerisi ei kerro sinulle - Lean","robots":{"index":"index","follow":"follow","max-snippet":"max-snippet:-1","max-image-preview":"max-image-preview:large","max-video-preview":"max-video-preview:-1"},"canonical":"https:\/\/lean-app.com\/fi\/etude-base-donnees-calories\/","og_locale":"fi_FI","og_type":"article","og_title":"Analysoimme 857 655 Ranskassa myyty\u00e4 tuotetta: mit\u00e4 kaloriskannerisi ei kerro sinulle - Lean","og_description":"Lean Calculateur TDEE Accueil &nbsp;\/&nbsp; \u00c9tude base de donn\u00e9es calories \u00c9tude originale &middot; Donn\u00e9es publiques 857&nbsp;655 produits analys\u00e9s. Ce que ton scanner de calories ne te dit pas. Chaque scan de code-barres en France interroge la m\u00eame base. Nous l&rsquo;avons analys\u00e9e en entier. Plus d&rsquo;un scan sur trois renvoie une donn\u00e9e absente, incompl\u00e8te ou incoh\u00e9rente. [&hellip;]","og_url":"https:\/\/lean-app.com\/fi\/etude-base-donnees-calories\/","og_site_name":"Lean","article_publisher":"https:\/\/www.facebook.com\/share\/1GXD3qyMBy\/?mibextid=wwXIfr","article_published_time":"2026-08-23T20:43:53+00:00","article_modified_time":"2026-09-05T10:39:09+00:00","og_image":[{"url":"https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-logo-lean-square-scaled.webp","type":"","width":"","height":""}],"author":"L'\u00e9quipe Lean","twitter_card":"summary_large_image","twitter_misc":{"Written by":"L'\u00e9quipe Lean","Est. reading time":"9 minutes"},"schema":{"@context":"https:\/\/schema.org","@graph":[{"@type":"Article","@id":"https:\/\/lean-app.com\/etude-base-donnees-calories\/#article","isPartOf":{"@id":"https:\/\/lean-app.com\/etude-base-donnees-calories\/"},"author":{"@id":"https:\/\/lean-app.com\/#organization"},"headline":"Nous avons analys\u00e9 857 655 produits vendus en France : ce que ton scanner de calories ne te dit pas","datePublished":"2026-08-23T20:43:53+00:00","dateModified":"2026-09-05T10:39:09+00:00","mainEntityOfPage":{"@id":"https:\/\/lean-app.com\/etude-base-donnees-calories\/"},"wordCount":1781,"commentCount":0,"publisher":{"@id":"https:\/\/lean-app.com\/#organization"},"image":{"@id":"https:\/\/lean-app.com\/etude-base-donnees-calories\/#primaryimage"},"thumbnailUrl":"https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-logo-lean-square-scaled.webp","inLanguage":"fi","potentialAction":[{"@type":"CommentAction","name":"Comment","target":["https:\/\/lean-app.com\/etude-base-donnees-calories\/#respond"]}]},{"@type":"WebPage","@id":"https:\/\/lean-app.com\/etude-base-donnees-calories\/","url":"https:\/\/lean-app.com\/etude-base-donnees-calories\/","name":"Analysoimme 857 655 Ranskassa myyty\u00e4 tuotetta: mit\u00e4 kaloriskannerisi ei kerro sinulle - Lean","isPartOf":{"@id":"https:\/\/lean-app.com\/#website"},"primaryImageOfPage":{"@id":"https:\/\/lean-app.com\/etude-base-donnees-calories\/#primaryimage"},"image":{"@id":"https:\/\/lean-app.com\/etude-base-donnees-calories\/#primaryimage"},"thumbnailUrl":"https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-logo-lean-square-scaled.webp","datePublished":"2026-08-23T20:43:53+00:00","dateModified":"2026-09-05T10:39:09+00:00","breadcrumb":{"@id":"https:\/\/lean-app.com\/etude-base-donnees-calories\/#breadcrumb"},"inLanguage":"fi","potentialAction":[{"@type":"ReadAction","target":["https:\/\/lean-app.com\/etude-base-donnees-calories\/"]}]},{"@type":"ImageObject","inLanguage":"fi","@id":"https:\/\/lean-app.com\/etude-base-donnees-calories\/#primaryimage","url":"https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-logo-lean-square-scaled.webp","contentUrl":"https:\/\/lean-app.com\/wp-content\/uploads\/2026\/05\/lvm-logo-lean-square-scaled.webp"},{"@type":"BreadcrumbList","@id":"https:\/\/lean-app.com\/etude-base-donnees-calories\/#breadcrumb","itemListElement":[{"@type":"ListItem","position":1,"name":"Home","item":"https:\/\/lean-app.com\/"},{"@type":"ListItem","position":2,"name":"Nous avons analys\u00e9 857 655 produits vendus en France : ce que ton scanner de calories ne te dit pas"}]},{"@type":"WebSite","@id":"https:\/\/lean-app.com\/#website","url":"https:\/\/lean-app.com\/","name":"Lean","description":"Lataa, kokeile sovellusta ILMAISEKSI ja ota kehosi haltuun KOKO EL\u00c4M\u00c4KSI.","publisher":{"@id":"https:\/\/lean-app.com\/#organization"},"potentialAction":[{"@type":"SearchAction","target":{"@type":"EntryPoint","urlTemplate":"https:\/\/lean-app.com\/?s={search_term_string}"},"query-input":{"@type":"PropertyValueSpecification","valueRequired":true,"valueName":"search_term_string"}}],"inLanguage":"fi"},{"@type":"Organization","@id":"https:\/\/lean-app.com\/#organization","name":"Lean","url":"https:\/\/lean-app.com\/","logo":{"@type":"ImageObject","inLanguage":"fi","@id":"https:\/\/lean-app.com\/#\/schema\/logo\/image\/","url":"https:\/\/lean-app.com\/wp-content\/uploads\/2025\/08\/Logo-for-Lean-App-the-best-calorie-and-TDEE-tracking-application.png","contentUrl":"https:\/\/lean-app.com\/wp-content\/uploads\/2025\/08\/Logo-for-Lean-App-the-best-calorie-and-TDEE-tracking-application.png","width":1672,"height":1484,"caption":"Lean"},"image":{"@id":"https:\/\/lean-app.com\/#\/schema\/logo\/image\/"},"sameAs":["https:\/\/www.facebook.com\/share\/1GXD3qyMBy\/?mibextid=wwXIfr","https:\/\/apps.apple.com\/fr\/app\/lean-calorie-ai-podometre\/id6738668646","https:\/\/play.google.com\/store\/apps\/details?id=com.lean.testsqflite","https:\/\/app.dealroom.co\/companies\/lean_calorie_tracker","https:\/\/alternativeto.net\/software\/lean-calorie-tracker\/"]}]}},"_links":{"self":[{"href":"https:\/\/lean-app.com\/fi\/wp-json\/wp\/v2\/posts\/1947","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/lean-app.com\/fi\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/lean-app.com\/fi\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/lean-app.com\/fi\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/lean-app.com\/fi\/wp-json\/wp\/v2\/comments?post=1947"}],"version-history":[{"count":0,"href":"https:\/\/lean-app.com\/fi\/wp-json\/wp\/v2\/posts\/1947\/revisions"}],"wp:attachment":[{"href":"https:\/\/lean-app.com\/fi\/wp-json\/wp\/v2\/media?parent=1947"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/lean-app.com\/fi\/wp-json\/wp\/v2\/categories?post=1947"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/lean-app.com\/fi\/wp-json\/wp\/v2\/tags?post=1947"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}