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p(doom) evidence — causal edges E1–E10

July 5, 2026

Evidence index · 中文 · Main post

Each section: Claim · Why · Evidence · Analogue · Would update if · Conf (H/M/L).


Parent: correlation matrix · main forecast §Branch model
Purpose: Load-bearing X → Y links we treat as causal (not mere correlation). When X moves in evidence, update Y before re-stitching branch weights.
Status: Working list 2026-07-04 — integrate into Layer B2 of public methodology.


How this differs from Clusters A–H

Clusters A–HCausal edges (this doc)
QuestionWhich P’s move together?Which P’s cause which, in what direction?
StitchingBranch weights encode joint massConditional update rules on linked P’s
Wrong moveMultiply marginals as independentIgnore downstream when upstream flips

Rule: Edges inform P updates and branch weight nudges. They do not replace the three-branch mixture in my pdoom.


Top 10 edges

#Cause → EffectMechanism (one line)Update rule (modeling)ClusterIf edge is stronger than modeled
E1Tier 2 bio live (Ci ~C5) → P(Tier 3 before screening | Tier 2)Capability gate: misuse path only opens once assist-tier tools existTreat T2 as prerequisite; do not draw Tier-3-before-screening mass if T2 timeline slipsCBio branch weight ↓; extinction ↓ ~2–4pp if T2 stalls 2+ yr
E2Hidden near-miss stays hidden (N10, P~0.55) → P(BMIA / mandatory screening by 2027-12)Successful internal containment → no Kingdon window (“inverse Y2K”)BMIA P ↓ ~0.05–0.15 when hidden-ratio evidence ↑; apply with S2 modifierH, FBio branch weight ↑; extinction ↑ ~1–2pp
E3Hidden near-miss (N10) → P(Tier 3 before screening | Tier 2)More real near-misses than public Trigger E → screening lags real riskTier-3-before-screening ↑ ~0.02–0.06 per hidden-ratio trancheC, HBio P(ext|branch) ↑; headline extinction ↑ ~1–2pp
E4US governance paralysis S2 (P~0.55) → P(BMIA) and N6 gridlockFederal capacity collapse: bills stall, EO-only framework×0.7 on BMIA (and related N2 tails) when S2 elevated — already in crosscut tableFBio branch ↑ ~2–3pp if S2 persists through 2028
E5Weight theft / natsec shock (N3) → P(race accelerates post-theft)P(no federal pause)Crisis framing → faster release, weaker halt coalitionsPost-theft race P ↑ → no-pause crux ↑ ~0.03–0.08 (Cluster A block)AMisalign branch weight ↑; extinction ↑ ~1–3pp
E6Whistleblower modal (N4: oversight not halt, P~0.58 given E) → P(no training halt through 2028)Scare → audits/hearings, training continuesWhistleblower modal ↑ → no-pause ↑ ~0.04–0.10; not independent of N11A, DWhimper ↑; misalign conditional ↑
E7Corp governance hollowing (N11, P~0.65 modal) → P(halt | internal crisis ~0.12)P(no shutdown at ASI threshold)Board/exec capture; safety veto hollowedHollowing ↑ → halt|crisis ↓ → no-shutdown ↑ ~0.05–0.10HMisalign P(ext|branch) ↑ ~2–4pp
E8GAAIA preemption wins (N6) → SB53 / state transparency duty weakenedhidden near-miss sustainedFederal weak standard overrides state incident reportingPreemption ↑ → N10 hidden-ratio ↑ ~0.05; feeds E2/E3A, FBio + disclosure joint tail ↑
E9Open-weight + tamper tail (N5 T5-B) → P(Tier 3 before screening | Tier 2)Public weights lower barrier for skilled misuseOpen-weight tail ↑ → Tier-3-before-screening ↑ ~0.03–0.08CBio branch weight ↑ ~1–2pp
E10C7–C9 internal RSI + cloud/software locus (N12, P~0.55) → misalign branch weight and P(extinction | misalign tail)Superhuman lab R&D + opaque stack → harder shutdown, faster takeoff geometryN12 cloud-first ↑ → misalign branch +3–6pp weight (see Node 12); ties to N7 race speedH, EExtinction ↑ ~2–5pp if cloud RSI + no halt joint

Worked propagation (example: E2 → E3 → branch)

Observe: voluntary Tier-2 near-miss disclosure (falsifier for N10)
  → E2: hidden-ratio ↓
  → E3: P(Tier 3 before screening | Tier 2) ↓ ~0.03–0.06
  → Bio branch weight 20% → ~17–18%
  → Headline extinction ~19% → ~17–18% (before other edges)

Full bio path in blog §Worked example; this table generalizes the update order.


Edges we deliberately do not treat as one-way

PairWhy
BMIA pass ↔ race continuesCluster B partial ↓ with A: screening can strengthen while race continues (modal storyline)
EU friction ↔ US pauseN9 can bind deployment without US training halt
Interp prod halt ↔ deception cruxPartial ↓ on misalign conditional only — not headline alone

Modeling checklist (when evidence moves)

  1. Identify which edge(s) fired (table above).
  2. Update downstream P using stated ranges (not full independence).
  3. Nudge branch weights (modal / bio / misalign) if joint story shifts.
  4. Re-run mixture; apply correlation discount to headline if raw sum moved.
  5. Log in my pdoom update table + future forecast_tracker.md.

Mermaid (Layer B2 sketch)

flowchart TD
    T2[Tier 2 live E1] --> T3[P Tier 3 before screening]
    N10[Hidden near-miss E2 E3] --> BMIA[P BMIA]
    N10 --> T3
    S2[US paralysis E4] --> BMIA
    N3[Weight theft E5] --> NP[P no pause]
    N4[Whistle modal E6] --> NP
    N11[Corp hollowing E7] --> NS[P no shutdown]
    N6[GAAIA E8] --> N10
    N5[Open-weight tail E9] --> T3
    N12[RSI locus E10] --> MIS[misalign branch]
    T3 --> BIO[bio branch weight]
    BMIA --> BIO
    NP --> MOD[modal vs misalign weights]
    NS --> MIS
    BIO --> MIX[Layer C mixture]
    MIS --> MIX
    MOD --> MIX

Update log

DateChange
2026-07-04Initial top-10 list for Layer B2 integration
2026-07-04Phase 2c lock — linked forecast_tracker.md; headline 19/24/30 unchanged