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S_RECESSION_2026scenariomacro_recession

NBER recession declared 2026

Prior probability
20.0%
Current probability
20.0%
evolves via intake + LBP
Conviction
Signal quality
Resolution
pending
Window
2026-04-30 – 2026-12-31
Edges in / out
0 / 16
Tickers exposed
0

Prediction text

US recession beginning 2026. Yield curve, soft labor data, weakening consumer.

Predictor calibration

Not assigned

This node has no predictor assigned. Default κ=0.5 applies to any intake evidence about it.

Reference class: recession_probability_2yr

Linked

NBER-defined recession beginning within 2 years of given prediction

Base rate
26.7%
8/30 historical
Inside weight
Outside weight
no pull

Tetlock-style outside view: at TRF=1 (just predicted), outside view dominates (w_in=0.3). At TRF=0 (deadline), inside view dominates (w_in=1.0). The blend regularizes overconfident inside views toward the historical base rate.

Probability over time

0 prob_history rows
No probability history yet.

Milestone chain

Pre-event signals (upstream prereqs + window checkpoints) → resolution event → downstream cascades. Status/dates update from linked nodes; re-derive nightly via scripts/ops/derive_milestones.py.

No milestone chain derived yet. Run scripts/ops/derive_milestones.py to populate from prereq edges + window checkpoints.

What if this resolves?

Clamp this prediction TRUE or FALSE and run a counterfactual Gibbs sample. Surfaces the predictions whose marginals shift most under that assumption.
(live posterior: 20%)

Click a button to clamp this prediction and run a Gibbs sample. Returns the predictions whose marginals shift most. ~30s per run; ideal for stress-testing "if X resolves, what else moves?"

Evidence chain

Every probability update with full Bayesian provenance — chronological, latest first

No probability history yet. The first evidence will arrive via /api/intake or the daily milestone sweep / weekly LBP run.

Network propagation neighbors

Top edges sorted by latest LBP cross-impact
All propagation →

Top incoming (parents)

Edges that influence THIS node's belief

No incoming edges.

Top outgoing (children)

Predictions THIS node influences

KindNodeTheir probP(c|s=T)P(c|s=F)Δ implied
prereq238_054
Post-capitalist society: compute, energy, raw materials willPeter Diamandis
45.3%0.6000.050-0.293
prereq246_045
Post-capitalist society with zero marginal cost approaching.Peter Diamandis
44.6%0.6000.050-0.286
prereq239_030
1000x current economy would saturate human desiresElon Musk
36.9%0.5000.050-0.229
prereq236_001
Universal High Income and social unrest will both happen simElon Musk
35.1%0.5000.050-0.211
prereq239_021
Money will stop being relevant at some pointElon Musk
35.1%0.5000.050-0.211

Prerequisites (0)

Predictions that must hit first
TypePredTitleDomainLag
No prerequisites

Dependents (16)

Predictions enabled by this
TypePredTitleDomainLag
prereq238_054Post-capitalist society: compute, energy, raw materials will be the scarce resources (money less valuable)Macro/Economy
prereq246_045Post-capitalist society with zero marginal cost approaching.Macro/Economy
prereq236_001Universal High Income and social unrest will both happen simultaneouslyMacro/Economy
prereq239_021Money will stop being relevant at some pointMacro/Economy
prereq239_0301000x current economy would saturate human desiresMacro/Economy
correlateAI_013'SaaSpocalypse' — traditional Software-as-a-Service incumbents (Salesforce, Adobe, HubSpot) will see massive sustained declines in market capitalization; AI lowers the barrier to creating bespoke customized software, eliminating the SaaS subscription m...Markets/Stocks
correlateFUT_022Massive resurgence in North American industrialization 2026-2031 driven by geographic + demographic insulation of United States + Mexico — permanent systemic withdrawal from trans-Pacific and trans-Atlantic economic dependencies; aggressive 'de-risking...Macro/Economy
correlate238_061Massive social unrest / trough in 2026-2027, rebound in 2028Macro/Economy
correlateAI_021The 2026-2027 window is the 'Great Disemboweling' of white-collar employment — millions of mid-career professionals (junior software developers, legal analysts, corporate marketers) lose jobs within a 12-18 month timeframe; resulting unemployment casca...Labor/Jobs
correlateCYB_028The 2024-2026 AI arms race directly parallels the hyper-speculative early-1990s dot-com bubble and subsequent search-engine wars — while underlying technology is transformative, the vast majority of highly-valued competitors and heavily-funded startups...Markets/Stocks
correlateFUT_007Global economy accelerates into structural demographic depression 2026-2031 — Baby Boomer cohort transitions from high-velocity capital creators/consumers to capital-draining healthcare-dependent retirees; Gen X + Millennials lack numerical mass to rep...Macro/Economy
correlateSEM_030S&P 500 roughly 10% upside in 2026 driven by AI productivity wave rolling through broader economy (not just megacap).Capital Markets
correlateINF_0472026 US GDP growth will land in a robust 4.6%–6.2% range — driven primarily by AI-driven productivity gains and massive physical-infrastructure capex.Macro/Economy
correlateIND_025Global economy enters 'Agentic Era' in 2027 — AI comprehensively automates knowledge work by 2026, forcing structural redesign of the modern corporation. Future labor force consists of highly agile 'ExOs' (Exponential Organizations) leveraging open-sou...Macro/Economy
correlateAI_026AI is executing a catastrophic repricing of legacy software stocks and a total 'demonetization of human capital' — the resultant deflationary shock will force global central banks into the most aggressive monetary easing and fiat currency printing in h...Macro/Economy
correlateAUT_0072026 US GDP growth 5% to 6.2% driven directly by AI productivity — citing massive productivity increases unlocked by enterprise AI integration as primary catalyst. Traditional enterprise SaaS 'maintenance and migration' revenue models structurally coll...Macro/Economy

Linked documents (8)

Auto-generated by cosine similarity from Polymarket / Manifold / EDGAR / GDELT

Raw metadata

From Thesis_Timeline_v1.0_FINAL workbook
{
  "fork_key": "recession",
  "dimension": "macro_recession",
  "family_type": "mutually_exclusive",
  "family_label": "Recession",
  "family_order": 1,
  "exclusive_within_dimension": true
}