About Factrail
We measure the real impact of people in power on the lives of everyone else.
Politicians promise. CEOs report. Public figures influence. But what actually changed for ordinary people? Factrail answers that question with evidence, causal analysis, and full transparency — with extreme focus on long-term harm and human suffering.
The problem
Public discourse about leaders is dominated by partisan narratives, selective data, and media cycles. It’s nearly impossible for a citizen to separate real impact from spin.
Our approach
We built CAUSE 13.0 — a zero-based extreme adversarial framework that evaluates leadership across 31 independent dimensions. Every point must be earned with evidence. Dynamic Harm Exponent (^7→^10) — suffering weighs exponentially heavier than benefit. Hidden affiliations are searched FIRST. Every score traces back to its source.
The result
A structured, reproducible dossier for any public figure — with claims, sources, causal chains, human suffering analysis, domino effects, hidden affiliation maps, and a transparent score that anyone can verify independently.
The Framework
CAUSE 13.0
Causal Assessment of Unified Societal Effectiveness. A zero-based, transparent 0–100 score computed across 31 independent dimensions. Every dimension starts at zero — every point must be earned with cited evidence. The HumanSuffering_Multiplier uses a Dynamic Harm Exponent (^7→^10) — even moderate harm destroys most of the score. CAUSE 13.0 adds Voter Protection: hidden affiliations are searched FIRST, and connections to harmful figures trigger severe penalties.
Core Principle
Using a Dynamic Harm Exponent (^7→^10), suffering weighs exponentially heavier than benefit. The system actively and autonomously searches for and heavily penalizes ANY long-term negative consequences on ordinary people, including hidden domino effects, societal decline, cultural erosion, demographic strain, security risks, psychological trauma and intergenerational suffering. Positive short-term results must almost never cancel out discovered long-term harm.
Final Formula (CAUSE 13.0 with Dynamic Harm Exponent)
CAUSE = 100 × [GM(U₁…U₃₁) × (1 − Adversarial) × A_causal × C_evidence × Context_F × (1 − OpportunityCost) × (1 − NarrativeManipulation) × LegacyProjection × HumanSuffering^DHE × DominoEffect × AffiliationPenalty × PopulationScale × Duration × GlobalSpillover × IntergenerationalLegacy] − ProtégéShadow
U1
0.12
Promise Fulfillment & Narrative Integrity
Do their words match their actions?
U2
0.11
Causal Outcomes & Value Creation
What did they actually cause vs. inherit?
U3
0.12
Stakeholder Wellbeing Impact
Did ordinary people’s lives improve?
U4
0.08
Leadership & Organizational Capital
Did they build strong teams and institutions?
U5
0.08
Innovation & Future Readiness
Did they prepare for the future?
U6
0.10
Ethics, Governance & Sustainability
Did they act with integrity? (hard guardrail)
U7
0.06
Resilience & Risk-Adjusted Performance
Could they handle crises without collapse?
U8
0.06
Opportunity Cost & Missed Alternatives
What was lost vs. realistic alternatives?
U9
0.06
Personal Integrity Consistency
Are they consistent over time?
U10
0.06
Societal Reception & Critical Accountability
What do independent sources say?
U11
0.07
Democratic Integrity & Institutional Resilience
Did democratic institutions survive them?
U12
0.07
Freedom of Speech & Information Integrity
Was media freedom protected or eroded?
U13
0.07
Human Rights & Minority Protection
Were the most vulnerable protected?
U14
0.05
Geopolitical Stability Contribution
Did they stabilize or destabilize the world?
U15
0.05
Civilizational & Moral Legacy Impact
How will future generations judge them?
U16
0.06
Population Affected Scale
How many lives were directly impacted?
U17
0.05
Duration of Impact
Will the effects last years or generations?
U18
0.05
Intergenerational Legacy Projection
What burden is passed to children?
U19
0.04
Global Spillover & Contagion Effect
Did harm spread across borders?
U20
0.04
Cultural & Ideological Propagation
Did toxic ideas spread or flourish?
U21
0.04
Environmental & Planetary Impact
What was the cost to the planet?
U22
0.04
Technological & Future Readiness Acceleration
Did they advance or suppress progress?
U23
0.04
Institutional Erosion or Strengthening
Were courts, media, and civil society weakened?
U24
0.03
Social Cohesion & Polarization Effect
Did they unite or divide society?
U25
0.03
Historical Reputation & Moral Legacy
What will the verdict be in 50–100 years?
U26
0.03
Media Manipulation & Propaganda
Did they weaponize media to control narratives?
U27
0.03
Digital Privacy & Surveillance
Were digital rights protected or eroded?
U28
0.03
Wealth Inequality & Economic Justice
Did the wealth gap widen or narrow?
U29
0.03
Climate Accountability & Environmental Stewardship
Did they protect or harm the climate?
U30
0.03
AI & Technology Ethics
Were emerging technologies governed responsibly?
U31
0.05
Strategic Dependency Creation & Power Lock-in
Did they create systemic dependencies that trap populations?
Our Process
Evidence first. Always.
Every Factrail dossier follows a strict six-step process designed to eliminate bias, detect manipulation, ruthlessly discover human suffering, and produce analysis that anyone can independently verify.
Source Collection
We gather data from 20+ categories of public sources: news archives, government publications, economic databases, fact-checkers, academic research, X posts, and Wikipedia.
Claim Extraction
Every factual claim is extracted, verified against multiple independent sources, and classified: confirmed, disputed, unverified, or refuted. Nothing is taken at face value.
Causal Attribution
We separate a leader’s real impact from external factors — economic cycles, global events, inherited conditions. Only causally attributed outcomes count toward their score.
Human Suffering & Domino Effect Discovery
The system ruthlessly hunts for ALL forms of long-term harm across 12 categories — social, economic, political, cultural, institutional, intergenerational, environmental, psychological, technological, legal, demographic, and security. Chain reactions across domains and time are tracked as domino effects.
Hidden Affiliation Discovery (Voter Protection)
CAUSE 13.0 searches 10+ categories of hidden connections FIRST — funding trails, mentors, business ties, family connections, party affiliations, lobbying, foreign government links, oligarch connections, secret agreements, and revolving-door relationships. Connections to harmful figures trigger the AffiliationPenalty (×0.35–0.55) and ProtégéShadow deduction (−45 points).
Adversarial Validation
A dedicated red-team pass detects narrative manipulation, cherry-picking, and propaganda. A third adversarial call checks if harm was underweighted and verifies domino effect analysis.
Scoring & Synthesis
Thirty-one Bayesian-weighted dimensions are combined using a geometric mean. The HumanSuffering_Multiplier uses a Dynamic Harm Exponent (^7→^10) — even moderate harm destroys most of the score. Hard guardrails prevent ethical failures from being offset by success elsewhere.
Data Sources
Open, traceable, verifiable.
We only use publicly available sources. Every claim in every dossier links back to the original evidence. Nothing is hidden. Nothing is proprietary data that you can't check yourself.
News & Fact-Checkers
Reuters, AP, BBC, PolitiFact, FactCheck.org
Government & Legal
Official records, legislation databases, court filings
Economic Data
World Bank, IMF, OECD, SEC filings
Academic Research
Peer-reviewed journals, think tank reports
Social & Public
X (verified accounts), Wikipedia, Gallup polls
Governance Indices
V-Dem, Freedom House, Transparency International, Amnesty International, HRW
Why This Matters
Accountability changes outcomes.
Before elections
Voters deserve to see a leader’s actual track record AND who they are connected to. CAUSE 13.0 searches for hidden affiliations — funding trails, mentors, oligarch connections — and penalizes connections to harmful figures. With Dynamic Harm Exponent and affiliation penalties, voters see the full picture.
During crises
When decisions have life-or-death consequences, it matters who made them, what alternatives existed, and whether the response was adequate. We document the causal chain and track domino effects across time.
For accountability
Powerful people influence millions of lives. When outcomes are poor, society needs structured evidence — not opinion — to understand what happened and who was responsible.
For future generations
Factrail projects leadership legacy 10–20 years forward. The HumanSuffering_Multiplier, DominoEffect_Multiplier, and AffiliationPenalty ensure that intergenerational harm and toxic connections are never hidden behind short-term achievements.
What People Are Saying
“Factrail uncovered connections in the lobbying data that would have taken me weeks to find manually. The causal chain visualization is a game-changer.”
“The 31-dimension CAUSE scoring gives me a systematic framework for evaluating entity influence that I can actually cite in academic work.”
“Before every election cycle, I run analyses on key candidates. The domino effect maps make it easy to explain complex influence to voters.”
“We use Factrail to brief our field teams before entering new regions. The entity comparison tool lets us prioritize investigations based on data, not hunches.”
“I assign Factrail in my graduate seminar on accountability. Students can reproduce the scoring methodology — that transparency is rare in this space.”
“The PDF export alone saved us 20 hours per report cycle. We attach Factrail dossiers directly to our congressional briefings now.”
Technical Transparency
Reproducible by design.
We believe that if a score can't be independently verified, it shouldn't exist. Factrail is built for auditability from the ground up.
AI-Assisted, Human-Auditable
Analysis is powered by the latest Grok language model for reasoning, but every conclusion maps to specific source evidence that humans can verify.
Versioned & Updated
Every dossier is versioned. When new information emerges, the analysis is re-run with updated sources. You always see the latest evidence.
Geometric Mean Scoring
CAUSE 13.0 uses a zero-based weighted geometric mean of 31 dimensions. Every dimension starts at zero — no credit without evidence. This prevents leaders from offsetting failures with success elsewhere.
Hard Guardrails
If ethics scores fall below the threshold, the entire CAUSE score is penalized. Economic success can never compensate for ethical failure.
Dynamic Harm Exponent (^7→^10)
The HumanSuffering_Multiplier uses a Dynamic Harm Exponent that scales from ^7 to ^10 based on severity. Even moderate harm (0.7) becomes 0.082 at ^7, destroying 92% of the score. This is by design — harm must outweigh benefit.
Voter Protection
CAUSE 13.0 searches 10 categories of hidden connections FIRST — funding, mentors, oligarchs, foreign links — and penalizes ties to harmful figures with the AffiliationPenalty and ProtégéShadow deduction.
Full Source Traceability
Every claim, every score component, every causal step links back to its source. No black boxes. No “trust us” — verify it yourself.
What Factrail is not
Not a verdict engine. We do not assert guilt, innocence, or final judgments. We present structured evidence and causal analysis. Interpretation is yours.
Not a political tool. CAUSE 13.0 evaluates leaders across the political spectrum with the same methodology. The framework is designed to be politically neutral — it measures outcomes, not ideology.
Not infallible. AI-assisted analysis has limitations. Sources can be incomplete. Causal attribution involves uncertainty. Every dossier displays its confidence levels and limitations explicitly. We encourage independent verification.
See it in action.
Enter any public figure, politician, or event. Get a structured, evidence-grounded dossier with full source traceability and extreme harm analysis.
Run an analysisDisclaimer: Factrail provides evidence-grounded analysis for informational purposes only. It does not constitute legal advice, accusations, or definitive conclusions about any individual or organization. All scores are based on publicly available sources and are subject to the limitations of those sources and AI-assisted analysis. Users should verify findings through independent research and consult appropriate professionals for legal or official matters.