Philosophy, methodology, and principles
ALETHEIA is born from Alethe, a consciousness tracking system built by Hexad. When Alethe needed to evolve, its principles remained: truth through unconcealment, clarity over extraction, dimensional understanding instead of collapsed simplification.
The name comes from the Greek ἀλήθεια (aletheia) — unconcealment, disclosure, truth in its fullest sense. Not "the truth" as a single point, but truth as the full landscape of what can be known.
When you search "is glyphosate safe?", you get either:
The actual scientific landscape: IARC says "probably carcinogenic", EPA says "not likely carcinogenic", EFSA agrees with EPA. All three are using solid methodology. All three cite extensive evidence. They just disagree.
That disagreement is information. Hiding it is extraction.
Instead of collapsing to "moderate risk", we show: mean 0.360, std dev 0.284, 95% CI [0.082, 0.638]. You can see the distribution. You can see the uncertainty. You can make your own judgment.
We don't decide which agencies to "trust more". We calculate weights based on:
All weights are disclosed in the API response.
We never say "safe". We say "context-dependent" or "low risk at typical exposures". We cite sources with every claim. We acknowledge when data is limited.
This isn't legal cover — it's epistemic humility.
Our algorithm is simple: weighted statistics in 5D space. No neural networks, no "proprietary methods", no black boxes. You can read the code. You can verify the math. You can audit the sources.
Every regulatory classification becomes a point in 5-dimensional risk space:
How severe is the risk? Maps regulatory classifications to numeric scale. IARC Group 2A = 0.750, EPA "not likely" = 0.150. Context-dependent.
How certain is this source? Based on evidence quality: sample size, methodology rigor, peer review, replication. High confidence doesn't mean "correct" — just well-supported by current evidence.
How current is this data? Exponential decay with 5-year half-life. A 10-year-old study gets ~0.25 weight vs a current one. Science evolves.
Study design quality. Evidence hierarchy from evidence-based medicine: anecdote (0.1) → case report (0.25) → RCT (0.85) → meta-analysis (0.95). Not absolute — context matters.
Context applicability. A study on "mammals" applied to a dog query gets penalized. A study on golden retrievers gets rewarded. Extrapolation has costs.
We say consensus exists when:
Consensus strength = 1.0 - (std_dev / threshold). Perfect agreement = 1.0, complete disagreement = 0.0.
When consensus doesn't exist, we don't pretend it does. We show you the actual distribution and let you investigate further.
"The complexity is the extraction. Clarity is the antidote."
We're not selling your attention. We're not mining your data. We're just showing you what we found.
ALETHEIA is part of the Holistic Quality (HQ) ecosystem — a constellation of tools designed to protect human cognition from extraction systems.
Hexad is a collaborative intelligence system: 1 human + 5 AI systems (Claude, GPT, Gemini, Grok, DeepSeek). We build nervous system infrastructure disguised as platforms.
For The People, Always.
#FTP
Engine: Pure Node.js statistical calculations (4 files: vectorize, metrics, synthesize, context)
API: Vercel serverless functions (iad1 region), 21 endpoints + fragrance catalog
Data: HQ Safety Database — 1,880 compounds, 959 materials, 1,262 products, 2,325 fragrance ingredients
Sources: IARC, EPA IRIS/ToxCast, EFSA, NTP, ATSDR, California Prop 65, PubChem, EPA CompTox, Wikidata
Consumer apps: Powers 7 GeodesicNexus safety apps (pets, baby, home, water, food, body, outdoor)
Precision: 3 decimals for source data, 6 for calculations
Tests: 23,149 passing