{"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\/sv\/etude-base-donnees-calories\/","title":{"rendered":"Vi analyserade 857 655 produkter s\u00e5lda i Frankrike: det din kaloriskanner inte ber\u00e4ttar f\u00f6r dig"},"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\/sv\/\" aria-label=\"Accueil Lean\">\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\/sv\/tdee-calculator\/\">TDEE-kalkylator<\/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=\"T\u00e9l\u00e9charger sur l'App Store\">\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=\"Disponible sur Google Play\">\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\/sv\/\">Hem<\/a> &nbsp;\/&nbsp; Studie av kaloridatabasen<\/div>\n  <div class=\"eyebrow\">Originalstudie &middot; \u00d6ppna data<\/div>\n  <h1 id=\"title\">857&nbsp;655 produkter analyserade.\n    <span class=\"alt\">Det din kaloriskanner inte ber\u00e4ttar f\u00f6r dig.<\/span>\n  <\/h1>\n  <p class=\"dek\">Varje streckkodsskanning i Frankrike fr\u00e5gar samma bas. Vi har analyserat den i sin helhet. Mer \u00e4n en av tre skanningar ger en saknad, ofullst\u00e4ndig eller inkonsekvent data.<\/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>Av <strong>Lean-teamet<\/strong> &middot; publicerad 24 augusti 2026 &middot; l\u00e4stid 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=\"T\u00e9l\u00e9charger Lean sur l'App Store\">\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=\"T\u00e9l\u00e9charger Lean sur Google Play\">\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\">Varf\u00f6r den h\u00e4r studien<\/h2>\n  <p>N\u00e4r du skannar en streckkod i en kaloritracker i Frankrike, MyFitnessPal, Yazio, Lifesum eller Lean, kommer datan mer eller mindre fr\u00e5n samma k\u00e4lla: <a href=\"https:\/\/world.openfoodfacts.org\/\" target=\"_blank\" rel=\"noopener\">OpenFoodFacts<\/a>, en formidabel fransk samarbetsbas under \u00f6ppen ODbL-licens. Miljoner produktposter, ifyllda av frivilliga bidragsgivare.<\/p>\n  <p>En samarbetsbas, det \u00e4r dess styrka och dess begr\u00e4nsning: vem som helst kan skapa eller \u00e4ndra en post, och ingen kontrollerar systematiskt. Ingen hade satt siffror p\u00e5 den verkliga tillf\u00f6rlitligheten i det din skanning ger. Vi laddade d\u00e4rf\u00f6r ner den kompletta offentliga dumpen fr\u00e5n 23 augusti 2026 och testade varje produkt s\u00e5ld i Frankrike.<\/p>\n  <div class=\"stat-grid\">\n    <div class=\"stat-card\"><div class=\"n\">4 535 553<\/div><div class=\"t\">produkter i den globala basen per 23 augusti 2026<\/div><\/div>\n    <div class=\"stat-card\"><div class=\"n\">1 265 726<\/div><div class=\"t\">produkter refererade som s\u00e5lda i Frankrike<\/div><\/div>\n    <div class=\"stat-card\"><div class=\"n pink\">857 655<\/div><div class=\"t\">analyserbara produkter: kalorier och de 3 makrona angivna<\/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\">Metoden: varje post testad mot sig sj\u00e4lv<\/h2>\n  <p>Inget labb beh\u00f6vs f\u00f6r att uppt\u00e4cka en felaktig post: det r\u00e4cker att konfrontera den med sig sj\u00e4lv. Kalorierna i ett livsmedel h\u00e4rleds ur dess makron\u00e4rings\u00e4mnen med Atwater-faktorerna, samma som EU-f\u00f6rordningen INCO \u00e5l\u00e4gger tillverkarna: 4&nbsp;kcal per gram protein, 4 per gram kolhydrater, 9 per gram fett.<\/p>\n  <p>Om en post visar 100&nbsp;kcal men dess egna makron ger 250 \u00e4r en av de tv\u00e5 raderna fel. Och din app visar dig en av dem utan att blinka.<\/p>\n  <div class=\"metho\">\n    <h3>Komplett metodik<\/h3>\n    <ul>\n      <li>Officiell OpenFoodFacts-dump fr\u00e5n 23 augusti 2026 (ODbL-licens), omfattning Frankrike<\/li>\n      <li>Omr\u00e4kning: <code>4&times;proteiner + 4&times;kolhydrater + 9&times;fett<\/code>, plus 7&nbsp;kcal\/g alkohol, 2&nbsp;kcal\/g fibrer och 2,4&nbsp;kcal\/g polyoler (erytritol: 0), i enlighet med INCO-f\u00f6rordning 1169\/2011<\/li>\n      <li>Post r\u00e4knad som inkonsekvent bara om skillnaden \u00f6verstiger b\u00e5de 10&nbsp;% och 30&nbsp;kcal\/100g: bruset fr\u00e5n vatten och te p\u00e5 2&nbsp;kcal \u00e4r uteslutet<\/li>\n      <li>16 364 avvikande poster f\u00f6rkastade (kalorier utanf\u00f6r 1-950&nbsp;kcal\/100g, om\u00f6jliga makron)<\/li>\n      <li>Varje exempel citerat p\u00e5 den h\u00e4r sidan har kontrollerats p\u00e5 nytt i onlineposten p\u00e5 publiceringsdagen<\/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\">Resultat 1: n\u00e4stan 1 av 3 poster \u00e4r ofullst\u00e4ndig<\/h2>\n  <div class=\"bignum\">31 %<small>av FR-produkterna utan kompletta data<\/small><\/div>\n  <p>391 707 produkter s\u00e5lda i Frankrike har inga kalorier angivna, eller inte sina tre makron\u00e4rings\u00e4mnen. Konkret: du skannar, och appen visar 0&nbsp;kcal, eller kalorier utan proteiner eller kolhydrater. Du tror att du loggar, du loggar tomhet.<\/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=\"R\u00e9partition des 1 265 726 produits fran\u00e7ais par fiabilit\u00e9 de fiche\" role=\"img\"><\/canvas><\/div>\n    <figcaption>\u00d6det f\u00f6r en skanning i Frankrike, p\u00e5 1 265 726 produkter.<\/figcaption>\n  <\/figure>\n  <p>Det \u00e4r det mest l\u00f6mska felet, eftersom det inte ser ut som ett fel: posten visas, produkten har ett namn, en bild. Det saknas bara det viktigaste.<\/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\">Resultat 2: 46 757 produkter med inkonsekventa kalorier<\/h2>\n  <p>Av de 857 655 kompletta posterna visar 46 757 kalorier som \u00e4r of\u00f6renliga med sina egna makron, med minst 10&nbsp;% och 30&nbsp;kcal per 100&nbsp;g. Varje punkt i grafen nedan \u00e4r en riktig produkt: p\u00e5 x-axeln det posten anger, p\u00e5 y-axeln det makrona ger. En \u00e4rlig post hamnar p\u00e5 diagonalen.<\/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=\"Calories d\u00e9clar\u00e9es contre calories recalcul\u00e9es, \u00e9chantillon de 1 370 produits\" role=\"img\"><\/canvas><\/div>\n    <figcaption>1 370 riktiga produkter: angivet vs omr\u00e4knat fr\u00e5n makrona.<\/figcaption>\n  <\/figure>\n  <p>F\u00f6rdelningen av skillnaderna visar att basen \u00e4r massivt korrekt, och sedan g\u00e5r ut i en l\u00e5ng svans: de felaktiga posterna \u00e4r inte lite fel, de \u00e4r mycket fel.<\/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=\"Distribution des \u00e9carts relatifs entre calories d\u00e9clar\u00e9es et recalcul\u00e9es\" role=\"img\"><\/canvas><\/div>\n    <figcaption>F\u00f6rdelning av skillnaderna, logaritmisk skala.<\/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=\"Inkonsekventa produkter per skillnadstr\u00f6skel\" role=\"img\"><\/canvas><\/div>\n    <figcaption>Inkonsekventa produkter per skillnadstr\u00f6skel, bas 857 655 poster.<\/figcaption>\n  <\/figure>\n  <p>18 251 produkter, allts\u00e5 tv\u00e5 av fem materiellt inkonsekventa, har fel <em>fr\u00e5n enkelt till dubbelt eller mer<\/em>. P\u00e5 den niv\u00e5n \u00e4r det inte l\u00e4ngre en oprecision, det \u00e4r en data som v\u00e4nder din kaloribalans f\u00f6r dagen.<\/p>\n  <p>Genom att l\u00e4gga ihop ofullst\u00e4ndiga och inkonsekventa poster: <strong>mer \u00e4n en av tre skanningar i Frankrike ger en saknad, ofullst\u00e4ndig eller inkonsekvent data<\/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\">Produkter du har i ditt sk\u00e5p<\/h2>\n  <p>Varje post nedan har kontrollerats p\u00e5 nytt online p\u00e5 publiceringsdagen. Till v\u00e4nster det OpenFoodFacts-posten visar, till h\u00f6ger det dess egna makron ger:<\/p>\n  <div class=\"prod-cards\">\n    <div class=\"prod-card\"><div class=\"who\"><b>Le Beurre Tendre<\/b><span>post f\u00f6r produkten Elle&amp;Vire &middot; 535 skanningar<\/span><\/div><div class=\"vals\"><span><span class=\"fiche\">375<\/span><span class=\"unit\">post<\/span><\/span><span class=\"fleche\">&rarr;<\/span><span><span class=\"reel\">744<\/span><span class=\"unit\">makron<\/span><\/span><\/div><\/div>\n    <div class=\"prod-card\"><div class=\"who\"><b>Yaos Yaourt \u00e0 la Grecque<\/b><span>post f\u00f6r produkten Nestl\u00e9 &middot; 271 skanningar<\/span><\/div><div class=\"vals\"><span><span class=\"fiche\">50<\/span><span class=\"unit\">post<\/span><\/span><span class=\"fleche\">&rarr;<\/span><span><span class=\"reel\">98<\/span><span class=\"unit\">makron<\/span><\/span><\/div><\/div>\n    <div class=\"prod-card\"><div class=\"who\"><b>Sweet &amp; Salty Nut choklad<\/b><span>post f\u00f6r produkten Nature Valley &middot; 338 skanningar<\/span><\/div><div class=\"vals\"><span><span class=\"fiche\">647<\/span><span class=\"unit\">post<\/span><\/span><span class=\"fleche\">&rarr;<\/span><span><span class=\"reel\">140<\/span><span class=\"unit\">makron<\/span><\/span><\/div><\/div>\n    <div class=\"prod-card\"><div class=\"who\"><b>Ratatouille \u00e0 la Proven\u00e7ale<\/b><span>post f\u00f6r produkten Cassegrain &middot; 298 skanningar<\/span><\/div><div class=\"vals\"><span><span class=\"fiche\">38<\/span><span class=\"unit\">post<\/span><\/span><span class=\"fleche\">&rarr;<\/span><span><span class=\"reel\">72<\/span><span class=\"unit\">makron<\/span><\/span><\/div><\/div>\n  <\/div>\n  <p>Skolexemplet: linserna \u00e0 l&rsquo;Auvergnate fr\u00e5n Raynal &amp; Roquelaure finns under <strong>tv\u00e5 olika poster<\/strong>. Den ena visar 48&nbsp;kcal\/100g, den andra 207. Det verkliga v\u00e4rdet \u00e4r runt 99. Beroende p\u00e5 streckkoden din app f\u00e5ngar tror du att du \u00e4ter h\u00e4lften eller det dubbla av verkligheten.<\/p>\n  <p>En anv\u00e4ndare som brer 30&nbsp;g av sm\u00f6ret ovan underr\u00e4knar 110&nbsp;kcal. Varje dag. I tron att han g\u00f6r r\u00e4tt.<\/p>\n  <div class=\"cta-band rev\">\n    <div class=\"l\">Lean kontrollerar konsekvensen i posterna och skannar ocks\u00e5 din tallrik via foto, utan att vara beroende av en streckkod.<\/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\">De mest drabbade kategorierna<\/h2>\n  <p>Inkonsekvensen \u00e4r inte slumpm\u00e4ssigt f\u00f6rdelad, och ironin i rankingen \u00e4r grym: den mest drabbade kategorin i hela basen \u00e4r den idrottare loggar mest. <strong>Mer \u00e4n en av fem proteinbars (20,8&nbsp;%) har en inkonsekvent post.<\/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=\"Cat\u00e9gories : volume de produits, taux et nombre de fiches incoh\u00e9rentes\" role=\"img\"><\/canvas><\/div>\n    <figcaption>Varje bubbla \u00e4r en kategori; dess storlek, dess inkonsekventa poster.<\/figcaption>\n  <\/figure>\n  <p>Komplexa recept och berikade produkter koncentrerar felen: proteinbars, konfektyr, godis, ostar. Enkla produkter klarar sig b\u00e4ttre.<\/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=\"Taux d'incoh\u00e9rence par cat\u00e9gorie\" role=\"img\"><\/canvas><\/div>\n    <figcaption>Andel inkonsekventa poster per kategori (min. 1 000 produkter).<\/figcaption>\n  <\/figure>\n  <p>En \u00e4rlig notering: godis, konfektyr och bars f\u00f6rklaras delvis av s\u00f6tningsmedel. N\u00e4r en post inte anger sina polyoler \u00f6verskattar omr\u00e4kningen skillnaden. Vi har korrigerat allt som var angivet; resten speglar ocks\u00e5 det h\u00e4r h\u00e5let i angivelsen, som lurar din app p\u00e5 exakt samma s\u00e4tt.<\/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\">Vad det f\u00f6r\u00e4ndrar f\u00f6r din loggning<\/h2>\n  <p>F\u00f6rst, det det inte betyder: man ska inte sluta skanna, och OpenFoodFacts f\u00f6rblir ett anm\u00e4rkningsv\u00e4rt projekt som lever och korrigeras kontinuerligt. Kurvan nedan visar det: posterna skapade 2020-2021 \u00e4r de minst tillf\u00f6rlitliga (upp till 7,5&nbsp;% inkonsekvens), och kvaliteten har tydligt f\u00f6rb\u00e4ttrats sedan 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=\"Taux de fiches incoh\u00e9rentes selon l'ann\u00e9e de cr\u00e9ation de la fiche\" role=\"img\"><\/canvas><\/div>\n    <figcaption>Inkonsekvensgrad efter postens skapelse\u00e5r.<\/figcaption>\n  <\/figure>\n  <p>Fyra av de sex v\u00e4rsta posterna i dumpen var redan korrigerade online n\u00e4r vi kontrollerade. Men din app har kanske synkat den felaktiga versionen, och de hundratusentals poster som skapades under de v\u00e4rsta \u00e5ren finns fortfarande i basen.<\/p>\n  <p>Tv\u00e5 reflexer att minnas:<\/p>\n  <p><strong>1. Skanningen \u00e4r ett hastighetsverktyg, inte ett sanningsverktyg.<\/strong> Efter en skanning r\u00e4cker en blick p\u00e5 makrona: om proteiner, kolhydrater och fett inte st\u00e4mmer med de visade kalorierna \u00e4r posten fel. Det \u00e4r precis testet i den h\u00e4r studien, och det tar tv\u00e5 sekunder.<\/p>\n  <p><strong>2. Det osynliga felet finns inte p\u00e5 din tallrik, det finns i din f\u00f6rbrukning.<\/strong> En post som \u00e4r 110&nbsp;kcal fel korrigeras p\u00e5 tio sekunder n\u00e4r den \u00e4r uppt\u00e4ckt. En kalorif\u00f6rbrukning som \u00e4r 300&nbsp;kcal per dag fel syns aldrig: den \u00e4r begravd i \u00abaktivitetsmultiplikatorn\u00bb din app fick dig att v\u00e4lja vid registreringen. Det \u00e4r d\u00e4r Lean koncentrerar sin precision: <a href=\"https:\/\/lean-app.com\/sv\/depense-energetique-totale-v2\/\">TDEE = BMR + NEAT + EAT + TEF<\/a>, med en BMR ber\u00e4knad p\u00e5 din <a href=\"https:\/\/lean-app.com\/sv\/calcul-metabolisme-de-base\/\">verkliga fettprocent<\/a> och en <a href=\"https:\/\/lean-app.com\/sv\/calculateur-neat\/\">NEAT p\u00e5 dina verkliga steg<\/a>, inte p\u00e5 en ikryssad ruta.<\/p>\n  <div class=\"cta-band rev\">\n    <div class=\"l\">Bli Lean, f\u00f6rbli Lean: den enda appen som ber\u00e4knar din f\u00f6rbrukning p\u00e5 m\u00e4tningar, inte p\u00e5 rutor.<\/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\">Vetenskapliga deponeringar och citering<\/h2>\n  <p>Den h\u00e4r studien \u00e4r deponerad i oberoende \u00f6ppna arkiv, med en best\u00e4ndig identifierare (DOI) och de kompletta PDF-filerna p\u00e5 franska och engelska. Varje deponering kan kontrolleras utan att g\u00e5 via den h\u00e4r webbplatsen:<\/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; referensdeponering, PDF FR + EN<\/span><\/div><div class=\"vals\"><a href=\"https:\/\/doi.org\/10.5281\/zenodo.22284416\" target=\"_blank\" rel=\"noopener\">\u00d6ppna deponeringen &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\">\u00d6ppna deponeringen &rarr;<\/a><\/div><\/div>\n    <div class=\"prod-card\"><div class=\"who\"><b>OSF (Center for Open Science)<\/b><span>offentligt projekt tczvj &middot; metodik och filer<\/span><\/div><div class=\"vals\"><a href=\"https:\/\/osf.io\/tczvj\/\" target=\"_blank\" rel=\"noopener\">\u00d6ppna projektet &rarr;<\/a><\/div><\/div>\n    <div class=\"prod-card\"><div class=\"who\"><b>data.gouv.fr<\/b><span>deklarerad \u00e5teranv\u00e4ndning av datasetet Open Food Facts<\/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\">Se \u00e5teranv\u00e4ndningen &rarr;<\/a><\/div><\/div>\n  <\/div>\n  <p><strong>F\u00f6r att citera den h\u00e4r studien:<\/strong> Lean-teamet (2026). 857 655 produkter analyserade: intern konsekvens i kaloridata i Open Food Facts. 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\">FAQ<\/span><\/div>\n  <h2 id=\"s8\">Questions fr\u00e9quentes<\/h2>\n  <div class=\"faq\">\n    <details><summary>Varf\u00f6r OpenFoodFacts och inte USDA?<\/summary><div class=\"ans\">F\u00f6r produkter med streckkod s\u00e5lda i Frankrike \u00e4r trackernas referensk\u00e4lla OpenFoodFacts. USDA t\u00e4cker r\u00e5varor och den amerikanska marknaden. Den h\u00e4r studien handlar om det en skanning i Frankrike faktiskt ger.<\/div><\/details>\n    <details><summary>B\u00f6r man sluta skanna sin mat?<\/summary><div class=\"ans\">Nej. Skanningen f\u00f6rblir det snabbaste s\u00e4ttet att logga. God praxis: kontrollera att de visade makrona \u00e4r konsekventa med kalorierna. Tv\u00e5 sekunder som undviker de v\u00e4rsta posterna.<\/div><\/details>\n    <details><summary>R\u00e4ttar applikationerna de h\u00e4r felen?<\/summary><div class=\"ans\">Basen lever kontinuerligt och korrigeras, det \u00e4r styrkan i samarbetet. Men en app som har synkat en felaktig post kan beh\u00e5lla den i cache l\u00e5ngt efter korrigeringen online.<\/div><\/details>\n    <details><summary>Kan man \u00e5teranv\u00e4nda siffrorna fr\u00e5n den h\u00e4r studien?<\/summary><div class=\"ans\">Ja, fritt, genom att citera \u00abLean-studie, augusti 2026\u00bb med en l\u00e4nk till den h\u00e4r sidan. K\u00e4lldatan tillh\u00f6r OpenFoodFacts (ODbL-licens) och v\u00e5r metodik \u00e4r beskriven i sin helhet ovan.<\/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\">K\u00e4llor<\/span><\/div>\n  <ol>\n    <li>OpenFoodFacts, officiell dump fr\u00e5n 23 augusti 2026, <a href=\"https:\/\/world.openfoodfacts.org\/data\" target=\"_blank\" rel=\"noopener\">world.openfoodfacts.org\/data<\/a>, ODbL-licens.<\/li>\n    <li>F\u00f6rordning (EU) nr 1169\/2011 (INCO), bilaga XIV: energiomr\u00e4kningsfaktorer.<\/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>Studie publicerad 24 augusti 2026. Uppdateras regelbundet med anv\u00e4ndarfeedback och nya relevanta studier. Lean finns p\u00e5 iOS och Android.<\/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>Vi analyserade 857 655 produkter s\u00e5lda i Frankrike: det din kaloriskanner inte ber\u00e4ttar f\u00f6r dig - 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\/sv\/etude-base-donnees-calories\/\" \/>\n<meta property=\"og:locale\" content=\"sv_SE\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Vi analyserade 857 655 produkter s\u00e5lda i Frankrike: det din kaloriskanner inte ber\u00e4ttar f\u00f6r dig - 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\/sv\/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\":\"sv-SE\",\"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\":\"sv-SE\",\"potentialAction\":[{\"@type\":\"ReadAction\",\"target\":[\"https:\/\/lean-app.com\/etude-base-donnees-calories\/\"]}]},{\"@type\":\"ImageObject\",\"inLanguage\":\"sv-SE\",\"@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\":\"sv-SE\"},{\"@type\":\"Organization\",\"@id\":\"https:\/\/lean-app.com\/#organization\",\"name\":\"Lean\",\"url\":\"https:\/\/lean-app.com\/\",\"logo\":{\"@type\":\"ImageObject\",\"inLanguage\":\"sv-SE\",\"@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":"Vi analyserade 857 655 produkter s\u00e5lda i Frankrike: det din kaloriskanner inte ber\u00e4ttar f\u00f6r dig - 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\/sv\/etude-base-donnees-calories\/","og_locale":"sv_SE","og_type":"article","og_title":"Vi analyserade 857 655 produkter s\u00e5lda i Frankrike: det din kaloriskanner inte ber\u00e4ttar f\u00f6r dig - 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\/sv\/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":"sv-SE","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":"Vi analyserade 857 655 produkter s\u00e5lda i Frankrike: det din kaloriskanner inte ber\u00e4ttar f\u00f6r dig - 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":"sv-SE","potentialAction":[{"@type":"ReadAction","target":["https:\/\/lean-app.com\/etude-base-donnees-calories\/"]}]},{"@type":"ImageObject","inLanguage":"sv-SE","@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":"Ladda ner, prova appen GRATIS och ta kontroll \u00f6ver din kropp F\u00d6R ALLTID.","publisher":{"@id":"https:\/\/lean-app.com\/#organization"},"potentialAction":[{"@type":"SearchAction","target":{"@type":"EntryPoint","urlTemplate":"https:\/\/lean-app.com\/?s={search_term_string}"},"query-input":{"@type":"PropertyValueSpecification","valueRequired":true,"valueName":"search_term_string"}}],"inLanguage":"sv-SE"},{"@type":"Organization","@id":"https:\/\/lean-app.com\/#organization","name":"Lean","url":"https:\/\/lean-app.com\/","logo":{"@type":"ImageObject","inLanguage":"sv-SE","@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\/sv\/wp-json\/wp\/v2\/posts\/1947","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/lean-app.com\/sv\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/lean-app.com\/sv\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/lean-app.com\/sv\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/lean-app.com\/sv\/wp-json\/wp\/v2\/comments?post=1947"}],"version-history":[{"count":0,"href":"https:\/\/lean-app.com\/sv\/wp-json\/wp\/v2\/posts\/1947\/revisions"}],"wp:attachment":[{"href":"https:\/\/lean-app.com\/sv\/wp-json\/wp\/v2\/media?parent=1947"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/lean-app.com\/sv\/wp-json\/wp\/v2\/categories?post=1947"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/lean-app.com\/sv\/wp-json\/wp\/v2\/tags?post=1947"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}