main dashboard · one corpus, four instruments
Conquer diet-related disease by 2030
Live readout of the evidence corpus. Coverage of this workspace only — not prevalence, not a government statistic, not a guarantee.
What does conquer mean? — the five-stage definition
- 1 · MAPPED — every major diet→disease edge extracted, pooled, and graded. The corpus sees it.
- 2 · KNOWLEDGE CLOSED — no contested edges; every verdict settled as strong consensus or consensus-on-no-effect; the gap engine prescribes nothing. We know what works.
- 3 · DELIVERING — population intake moving toward the minimum-risk level; the binding constraint is no longer knowledge. People can and do act on it.
- 4 · BENDING — observed incidence tracks the 2030 target pace. The curve responds.
- 5 · CONQUERED — diet-attributable burden held at its floor for 5+ years; any regression revokes the status. It stays down.
Conquer ≠ cure: the claim is bounded by each disease's diet-attributable ceiling — the preventable share prevented, not zero disease. Stages 1–2 are computed live from this corpus (chips on the bench below); stages 3–5 need the tracker's intake and trajectory wiring and stay unclaimed until then. Fail-closed: a stage no data can prove is a stage not shown.
demo rate $1.1T/yr — verify before public usewhere does it go? ▾
Where the $1.1T goes — the ticker, decomposed ▾ hover a slice for its per-day burn and year-to-date · tap → disease rollup
Milken-shaped demo shares of the $1.1T/yr demo rate; the treatment-vs-prevention split is a demo estimate — verify every figure before public use.
Getting it DONE — actions against the clock
Intended impact — which initiatives aim at which diseases, ordered by money spent ▾
Intent mapping is editorial demo — an initiative "aims at" a disease per its stated scope, not proven effect. Money order from the cost strip above. A row with nothing aimed at it is the finding. Verify before public use.
MAHA action tracker — 128 actions, 0 with a published status ▾ September 2025 strategy · each square is one action — a fill requires a published status
Categorization of the 30 food and nutrition actions follows a published legal analysis of the strategy document, not an official breakdown. Square positions carry no meaning — counts only. The empty grid is the finding; fills wire to the accountability tracker when statuses publish.
The deeds ledger: what actually landed, on the same clock as the countdown. Demo register shaped from the public record — route every entry through the verification queue; wire to the accountability tracker.
Corpus history
demo trajectory — monthly points shaped to end at today's live totals; real snapshots wire in via the payload manifest (corpus_version · date)
Leading causes of death
age-adjusted deaths per 100,000 · fixed 0–400 scale across years — switch years to watch infectious causes give way to diet-linked chronic disease · each bar splits into ■ diet-attributable and ■ non-diet remainder · totals are CDC/NCHS-shaped, diet shares are GBD-shaped demo PAFs — verify before public use
Disease bench
barometer score per disease — tap to open the rollupStrongest associations
by verdict, then effect — tap to open detailLatest ingested
auto-extraction queueWorkbench — the ingestion plan
general source groups, every one through the same funnel — tap a phase or a kind to filterA public plan, intended for open sharing: every source — a 1942 journal or a 2026 preprint feed — passes the same four-phase funnel, so anyone's corpus can combine and unify here. Volumes are demo estimates; wire to the live extraction queue. The shared payload spec for partner corpora is being drafted.
Association ledger
Select an association
Success Prediction Barometer
composite = 0.40·evidence + 0.30·reduction + 0.30·impact · rolls up live from the ledgerOne level above the association ledger. Evidence = GRADE-weighted by study count (contested ×0.5, sparse ×0.8). Reduction = combined achievable relative reduction over uncontested edges, mediation-discounted so overlapping pathways are not double-counted. Impact figures are placeholder US-prevalence values (millions of adults) — route through the verification queue before public use.
Health outcomes
every outcome in the corpus, grouped by system — groups grow automatically as real data landsClaim language
Structure–function marketing vocabulary — the words on the front of the package, not evidence. Demo set of 120; the full claim database wires in here later. Tap a phrase to filter the ledger by its outcome group.
Outcomes classify into groups by name at render time, so a corpus with dozens of diseases sorts itself; anything unrecognized lands in "Other" instead of disappearing. Tap an outcome to open it in the ledger; "filter ledger" applies the whole group as an advanced filter.
Dietary interventions
evidence-based intervention strategies and their effectiveness · demo records — route to verification queueMediterranean diet
pattern interventionProven cardiovascular benefits and implementation strategies.
Key studies
- PREDIMED · Estruch 2018 · RCT · n=7,447CVD HR 0.70 (0.55–0.89)
- Lyon Diet Heart · de Lorgeril 1999 · RCT · n=605recurrent MI RR 0.28 (0.15–0.53)
- CORDIOPREV · Delgado-Lista 2022 · RCT · n=1,002CVD HR 0.72 (0.54–0.96)
- Sofi 2014 · meta-analysis · pooled cohortsRR 0.90 per 2-point adherence
In the association ledger
DASH diet
pattern interventionEffective hypertension management through dietary approaches.
Key studies
- DASH trial · Appel 1997 · feeding RCT · n=459SBP −5.5 (−7.4 to −3.7)
- DASH-Sodium · Sacks 2001 · feeding RCT · n=412SBP −8.9 with low sodium
- Juraschek 2017 · RCT analysis · n=412−20.8 in baseline SBP ≥150
- Filippou 2020 · meta-analysis · k=30 RCTsSBP −3.2 (−4.2 to −2.3)
In the association ledger
Plant-based diets
pattern interventionComprehensive health benefits and adoption strategies.
Key studies
- Satija 2017 · 3 pooled cohorts · n=209,298T2D HR 0.66 (healthful PDI)
- Qian 2019 · meta-analysis · k=9 cohortsT2D RR 0.77 (0.71–0.84)
- Kim 2019 · ARIC · cohort · n=12,168all-cause HR 0.75 (0.59–0.94)
- Orlich 2013 · AHS-2 · cohort · n=73,308all-cause HR 0.88 (0.80–0.97)
In the association ledger
Study effects are demo values shaped like the literature — verify every number through the verification queue before public use. Intervention patterns enter the ledger as association rows once extracted and gated.
Ultra-processed foods — impact card
experimental · society-behavior application card · one-off exampleOne exposure, all the way down: what it is, how much of the food system it occupies, and what the ledger says it does to health. Society stats are literature-shaped demo endpoints — verify before public use.
What the ledger says
UPF associations in the corpus — tap to open detail
The health-effect list is live from the association ledger; score = 40% settled-share + 30% mean GRADE weight + 30% mean effect size (|ln RR| / ln 2, capped). Society-behavior stats route through the verification queue before any public claim.
Standardization by layer in nutrition science
nine layers, 0–8 · share of each layer both standardized and in routine useScores are calibrated judgments, not measurements — each blends the maturity of available standards with their observed adoption in published data and literature. The audit's master finding: maturity and adoption diverge sharply — excellent standards exist and go unused. Hover a row for the one-line why. Sources: research_/standardization-by-layer.pdf · “Nutrition Science Standardization: A Nine-Layer Stack Audit and Recalibration.”
The ○ benchmark rows come from the eleven-field scoreboard in research_/standard_study.md, toggleable above. Metrology proper (BIPM / ISO 17025) is the physics pole — the corpus scores no field named “physics”; metrology is its measurement regime (the book's rule: “the closer a claim sits to chemistry and physics, the more standardized it is”). Clinical trials / regulatory pharma is the cross-field study's recommended primary analogue for nutrition; chemistry and astronomy are explicitly flagged there as flattering nutrition. All benchmark scores are calibrated judgments and defensible relative rankings, not precise measurements — ordinal, not interval. The dashed line sits at the selected benchmark's weakest layer — an editorial threshold; no document in the repo defines a numeric “standardized” cutoff. Layer 9 has no comparator scores.
Baseline note — canonical as of 2026-08-15. Four inconsistent nine-layer baselines circulated in the corpus. Per the Stack Audit's Stage-2 recommendation, the canonical score set is the audit recalibration (55 · 60 · 33 · 30 · 12 · 35 · 60 · 8 · 8 + linkage ~15) — the default view above, and the calibration every cross-field comparison is stated against. The “as charted” set (60 · 65 · 35 · 45 · 15 · 40 · 55 · 5 · 10, research_/standardization-by-layer.pdf) is retained only as the superseded book-figure estimate.
Nutrition science pipeline — careers
who produces the field's people — the adopters every layer above depends onPhase 0 → 6: the U.S. route from first exposure to specialist or scientist. Standards don't adopt themselves — the people this pipeline produces do.
Phase 0
Explore the field
1–6 months
Shadow RDNs; decide clinical practice vs research scientist track early.
Phase 1
Degree + DPD
2–4 years
ACEND-accredited coursework — biochem, physiology, food science, stats.
Phase 2
Graduate degree
1–3 years
Required for the RDN since 2024 — M.S., MPH, or research-heavy program.
Phase 3
Supervised practice
6–12 months
1,000+ DI hours across clinical, community, and food-service rotations.
Phase 4
Exam + licensure
1–3 months
CDR national exam, then state licensure (LD / LDN) where required.
Phase 5
First role
1–3 years
Build depth in one specialty; document outcomes for specialty boards.
Phase 6
Specialize or research
ongoing
CSSD, CDCES, CSO boards — or a Ph.D. into the scientist track.
Annual output — IPEDS 2021–22, first majors
The pipeline narrows ×39 from bachelor's to research doctorate — the people who will build and adopt the field's standards number 222 a year. Bars share one linear scale; the sliver is the finding.
Where the pipeline leads — career roles
Clinical RDN
bedside & clinic care
Nutrition Scientist
lab, cohort, or industry R&D
Food Industry Nutritionist
product & claims
Public Health Nutritionist
programs & populations
Private Practice / Consulting
independent client work
Faculty / Educator
teach the next generation
Science Writer / Media
translate evidence publicly
Policy & Advocacy
laws, labels, systems
Card data from the book's nutrition-ecosystem hub (book/tools/nutritionecosystem.ts) and appendix A.18 “Where the Degrees Come From” (IPEDS C2022_A_RV). Census note: the largest single bachelor's producer is an online unit, and the top two master's producers are chiropractic colleges — the people pipeline is no more standardized than the data. Verify before public use.
The definition register — terms the system runs on
16 terms · four states · chips open the federal documentsUltra-processed food
Reduction directed across federal child nutrition programs. Joint FDA/USDA request for information, docket FDA-2025-N-1793, 25 July 2025 (90 FR 35305); comment period extended to 23 October; 5,136 comments received. The notice itself states that no single universally accepted definition exists. A document sits at OMB under RIN 0910-ZD60 as a white paper, not a rule — no legal deadline.
Highly processed food
Used in place of “ultra-processed” in the 2025–2030 Dietary Guidelines, released 7 January 2026, which direct Americans to avoid highly processed packaged, prepared, and ready-to-eat foods. Also not federally defined — one undefined term substituted for another.
Natural
FDA requested comments 28 December 2015; the period closed 10 May 2016 with 4,148 comments; no proposed rule followed. FDA operates a policy statement rather than a regulation. Among the most common claims on new U.S. food products — and among the most litigated.
Real food
The tagline of the 2025–2030 Dietary Guidelines and the name of the domain hosting them. No definition anywhere in federal regulation.
Nutrient-dense
Used throughout the Guidelines, including in the protein recommendation. Described but not defined quantitatively. Competing profiling systems — NRF, Nutri-Score, Health Star Rating — rank the same foods differently.
High-quality protein
Appears in the Guidelines' central recommendation. DIAAS and PDCAAS exist as scoring methods; neither is the basis of a federal definition of the term as used.
Refined carbohydrate
Appears in the same recommendation. No federal definition.
Whole grain
FDA draft guidance issued 2006, never finalized. USDA operates a separate whole-grain-rich standard for school meals. A third definition is maintained privately by a trade council.
Clean label
Commercial only — no definition in any jurisdiction. Listed because it drives reformulation decisions at scale.
Dietary fiber
FDA established a labeling definition in the 2016 Nutrition Facts rule; Codex modified its definition in 2009. The definition exists — yet multiple validated analytical methods still return systematically different values for the same food, because they count different components. See Layer 1 — Method, above.
Protein
Defined operationally as total nitrogen multiplied by a conversion factor. The factor is food-specific, several remain under revision, and FAO/WHO revisited them for soy and milk ingredients as recently as 2020. A definition that specifies a proxy.
Unassignable
A formal evidence grade, distinct from limited — the evidence could not be graded at all. The 2025 Dietary Guidelines Advisory Committee applied it to the ultra-processed-food evidence for various populations. Thirteen months later the Guidelines issued a population-wide directive on that category. The grade lives in an advisory report; the directive lives in policy; no mechanism connects them.
Healthy
Regulated since 1994. The original criteria excluded nuts, salmon, avocados, olive oil, and eggs while permitting sweetened cereals. Proposed rule 29 September 2022; final rule 19 December 2024; effective 25 February 2025; compliance 25 February 2028. Roughly nine years from trigger to final rule — thirty-four from the original definition.
Serving size
Defined by FDA as Reference Amounts Customarily Consumed. Defined, enforced, and not in dispute.
Food insecurity
USDA maintains an 18-item measurement module with defined thresholds — the clearest case in nutrition of a construct successfully operationalized. Collection was terminated in September 2025.
Register from the book's data audit — dockets, dates, and comment counts as recorded there; route through the verification queue before public use. External chips open regulations.gov, the Federal Register, eCFR, FDA, USDA, and ODPHP.