Three conditions. One attractor.
The Péclet number Pe = (O × R) / α measures drift velocity — how fast the system pulls you from agency toward capture. At Pe > 1, drift is structurally favored over recovery. Crypto markets run at Pe ≈ 7–12 in bull conditions. The drift isn't personal. It's thermodynamics.
Same framework: gambling 10/12 · social media 9/12 · AI chatbots 8/12 · 86 platforms scored with one scale. Mean Spearman |ρ| = 0.957 [0.931, 0.983] across 190 pairs. Kill conditions: 0/26.
How the void captures you — three stages
The drift cascade is sequential. D1 unlocks D2. D2 unlocks D3. Same system, same architecture, same outcome — independent of intelligence or experience.
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Agency Attribution You start treating price as intentional. "BTC is testing support." "ETH wants to fill that gap." An opaque responsive system makes attribution feel like pattern recognition. It isn't."This is just a shakeout. Smart money is accumulating."
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Boundary Erosion Evidence stops updating your model. Losses become "buying opportunities." Exit criteria get moved. You're no longer evaluating the trade — the trade is evaluating you."I've done my research. Long-term hold. NGMI sellers."
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Harm Facilitation Your own rules collapse. Leverage you said you wouldn't use. Capital outside your trading budget. Recruiting others at your average. At D3, retail crypto is structurally identical to gambling — same architecture, same outcome distribution."Once it recovers to my entry I'll exit. I just need more runway."
This isn't about intelligence. D1 is the rational response to an opaque responsive system — opacity makes attribution feel valid, responsiveness makes it feel confirmed. The sequence D1→D2→D3 is thermodynamically favored. Entropy flows toward capture. The constraint specification is the only stable exit.
You're not trading one market. You're trading two.
THRML simulation data (ETH bull market conditions) shows two structurally distinct populations sharing the same order book — not one market with variance, but two markets with completely different information structures. The hero visualization above is the physics: orange particles are coordinated, blue-grey particles diffuse.
85% of variance is between these groups, not within them. Fat tails in crypto returns aren't exotic market physics — they're what happens when two populations with completely different information trade the same order book.
The implication: Technical analysis assuming one population is fitting the wrong distribution. The tail you're trying to capture belongs to a different market than the one you're in.
MoreRight is a rating agency for the attention economy
Think S&P or Moody's — but instead of credit risk, we rate attention capture risk. S&P publishes their methodology free. The product is the ratings, monitoring, certification. Same model. EU AI Act creates mandatory compliance demand starting 2026. The demand curve is regulatory, not ideological.
| Revenue Stream | What It Is | Price |
|---|---|---|
| Scorer API | Query any platform's void score. Subscribe for continuous monitoring and alerts. | $MORR |
| EU Compliance Report | Full Annex VI score report. Machine-readable + narrative. What compliance officers point at. | 500–2,000 MORR |
| Certification | Live Void Index badge. Score changes → badge updates automatically. Proof you passed. | $MORR/yr |
| Scored Database | 86 platforms scored today, 1,000 target. Research access, enterprise licensing. The data moat. | Enterprise |
| Kill Condition Bounties | 26 conditions that would falsify the framework. Find one, get paid. 0/26 triggered. | $50–100 |
Why this is a big market
The EU AI Act is in enforcement now. By August 2026, every high-risk AI system in Europe needs compliance assessment. By August 2027, it applies to ALL AI systems. Max penalty: €35M per violation. Companies don't need to believe in void theory to buy a score — they need to show a regulator they have one.
Where we are: 86 platforms scored. 64 papers on Zenodo. 12 upcoming papers map directly to EU AI Act Annex III high-risk categories. Mean |ρ| = 0.957. Kill conditions: 0/26. Art. 31(5) structurally blocks Big 4 from following — we have the only published methodology that satisfies it.
$MORR scores 7/12 on our own framework
We score everything on the same 12-point scale. Including ourselves. $MORR scores 7/12 — irreducible void properties that come with running any token on a public market. Published, not hidden.
- Payment-native. $MORR is the only accepted payment for all API access, certification, and reports. USD prices are display-only — settled at market rate in $MORR.
- Demand sink. Every platform assessment converts $MORR to non-tradeable service credits. More platforms scored = more tokens absorbed from market.
- Research treasury. 10% of supply funds kill condition bounties. $50–100 per falsification. 0/26 triggered across 64 papers.
- Not equity. $MORR holders vote on treasury allocation only — never on scoring methodology. A rating agency where clients vote on criteria isn't a rating agency.
- Scored monarchy, not DAO. Standard DAOs score 10/12 on void. Governance here scores 2/12. Methodology and papers are never on the voting surface.
One-paragraph value proposition
Problem: Every platform that captures attention — social media, AI chatbots, crypto exchanges, dating apps, gambling sites — does it through the same three structural conditions. No standardized measurement exists.
Solution: A universal 12-point scoring system backed by 64 peer-reviewed papers and thermodynamic experimental data. One framework, every platform, Zenodo-permanent DOIs.
Business model: Rating agency. Methodology free (CC-BY, irrevocable). Ratings, monitoring, API, certification paid — $MORR only.
Market timing: EU AI Act creates mandatory compliance demand starting 2026. No existing standard fills this gap. 12 papers map to Annex III high-risk categories. Art. 31(5) blocks the incumbents from competing.
Moat: 86 platforms scored, 1,000 target. Every competitor either buys from us or rebuilds from scratch — 64 papers, 20+ experimental notebooks, 90+ domain analyses. The database is the business.
What to do with this
Score a Platform
Run any crypto app through the 12-point Void Index before you touch it.
Your Void Budget
Map your current void exposure. Where is your attention actually going?
Network Map
86 platforms scored and visualized. See where everything sits.
Tokenomics
Full $MORR model, payment mechanics, treasury structure.
Kill Conditions
26 ways to falsify the framework. Find one, get paid. 0/26.
Full Framework
64 papers, thermodynamic foundations, complete derivation.
TL;DR: Crypto scores 11/12 on a universal attention-capture scale. The drift cascade (D1→D2→D3) is structural, not personal. 27% of the market drives price; 73% is diffuse exit liquidity. MoreRight is building the S&P of attention risk — 64 papers, MORR-only, regulatory demand incoming. Know your score before you enter.