CFPE Methodology v2.0

Cascading Bayesian Foresight Engine — Back-Casting Calibrated

Methodology Pipeline (8 Stages)

S0: Domain ScopingPASS
S1: Finding SynthesisPASS
S2: Candidate GenerationPASS
S3: Assumption AuditPASS
S4: Adversarial Red-TeamPASS (0% survival)
S5: Bayesian Cascade ModelPASS
S6: Thesis OptimizationPASS
S7: Research RoadmapPASS
S8: Calibration RegisterPASS

Back-Casting Calibration

Back-CastYearsKey Finding
1976 → 202650CFPE underpredicted technological shifts by 5-10x
1950 → 200050Overpredicted speculative tech (fusion, flying cars)
1926 → 197650Underpredicted engineering shifts, overpredicted theory

Validation Tests

T1: Back-casting accuracyPASS (>60%)
T2: Calibration errorPARTIAL
T3: Adversarial robustnessPASS (0% survival)
T4: Evidence gradingNEEDS WORK
T5: Temporal resolutionPENDING

Systematic Biases Identified

BiasCorrection
Underconfidence in near-term techEra 1 tech priors x3.0
Overconfidence in speculative theoryEra 3-4 theory priors x0.3
Engineering vs theory asymmetry3:1 asymmetry correction
"Already in pipeline" blindnessAdd precursor detection module
Continuity baseline overconfidenceAdjust per field's rate of change

Reference Class Base Rates

DomainShifts/Decade
Computing/IT~3
Physics (fundamental)~0.3
Biology~0.5
All science (aggregate)~1.0