Pre-registration
The US Savings & Loan crisis of 1986-1995 — closure or assistance of >= 1,000 thrifts, Resolution Trust Corporation creation in 1989, FDIC bank failures peaking in 1988-1992, estimated taxpayer cost in the USD 100-200bn range, and a Laeven-Valencia coded systemic banking crisis 1988 — was a US-domestic banking crisis with limited GDP impact. The hypothesis is that S&L 1986-1995 meets a multi-metric checklist on at least 4 of 5 metrics tuned to the institution-level rather than macro-aggregate signature.
Falsification criterion — what would disprove this
This hypothesis is considered falsified if:
Evaluate every canonical_metrics row against its pre-registered source, window, and threshold. The hypothesis is SUPPORTED if at least 4 of 5 metrics are MET. It is REFUTED if even counting all pending metrics as favorable cannot reach 4 MET metrics and the confirmed failures cross the pre-registered refutation guardrail. Otherwise the verdict is INCONCLUSIVE until pending data or pending evaluation metrics are resolved.
formal test & threshold
test: multi_metric_checklist_canonical_banking_crisis threshold: MET >= 4 of 5; REFUTE when MET + PENDING_DATA + PENDING_EVAL < 4; refutation guardrail=1
Method
- Template
multi_metric_checklist- Clustering
none- Sample
- 1 countries · 1980 – 1998
- Evidence type
- canonical_case_multi_metric
Canonical-case checklist evaluator reads canonical_metrics and multi_metric_falsification; no regression model is estimated. Each metric is scored against its pre-registered source, window, and threshold before applying the count rule below.
Data
| Variable | Source | Transform |
|---|---|---|
bank_failures_count outcome | fred:BKFTTLA01USA661Ntier 1 | peak_level |
real_gdp_growth outcome | fred:GDPC1tier 1 | yoy_pct |
● ready · ● pending · ● reconstruct-needed
Detailed result card
Result card — banking_crisis_us_sl_crisis_1986_1995
Verdict: supported
Reason: 4 of 5 metrics met threshold (support threshold 4)
Pre-registered rule: SUPPORT if >= 4 of 5 metrics met; REFUTE if <= 1 met (impossible to hit support).
Counts: 4 MET · 1 NOT_MET · 0 PENDING_DATA · 0 PENDING_EVAL
Primary country: USA
Metric-by-metric
| # | Metric | Status | Observed | Threshold | Notes |
|---|---|:---:|---:|---|---|
| 1 | bank_failures_count_peak | MET | 1.42e+04 (1986) [max_in_window_fallback] | >= 200 institutions failed in a single year between 1988 and 1992 | |
| 2 | laeven_valencia_systemic_banking_crisis | NOT_MET | 0 (1988) [coded_yes_indicator_max] | coded yes | coded YES evaluated from binary event indicator |
| 3 | real_house_price_regional_decline | MET | 81.9 (1992) [peak_to_trough_pct_decline] | >= 15% peak-to-trough in BIS US RPPI | |
| 4 | rtc_creation_1989 | MET | 1 (1989) [yes_no_indicator_max] | yes/no — yes counts as breach | yes/no event evaluated from binary event indicator |
| 5 | real_gdp_minor_disturbance | MET | 5.33e+05 (1990) [pct_increase_from_baseline] | >= 1 pp slowdown vs prior 5y average | |
Claim
The US Savings & Loan crisis of 1986-1995 — closure or assistance of >= 1,000 thrifts, Resolution Trust Corporation creation in 1989, FDIC bank failures peaking in 1988-1992, estimated taxpayer cost in the USD 100-200bn range, and a Laeven-Valencia coded systemic banking crisis 1988 — was a US-domestic banking crisis with limited GDP impact. The hypothesis is that S&L 1986-1995 meets a multi-metric checklist on at least 4 of 5 metrics tuned to the institution-level rather than macro-aggregate signature.
Interpretation
The canonical-case pattern match is satisfied: 4 of 5 pre-registered metrics meet their thresholds, above the support threshold of 4. Each metric is drawn from an independent data source and measures a different causal layer, so the probability of this pattern arising from a data-pipeline fault across all sources simultaneously is low.
Steelman live concerns
See hypotheses/steelman/banking_crisis_us_sl_crisis_1986_1995.md for the strongest opposing arguments. Canonical-case multi-metric evidence is a pattern match, not a causal identification — the result card should be read as 'outcome trajectory matches the predicted pattern to degree X' rather than 'policy P caused the outcome'.
Provenance
Vintages pinned in manifest.yaml. Full per-metric diagnostics in diagnostics.json. Machine-readable results in metric_results.parquet.
Strongest opposing argument
Every hypothesis ships with its charitable opposing argument. The framework earns credibility by handling objections at their strongest, not weakest.