Pre-registration
Across liberal democracies, the country's general-government spending share at the start of the corpus window negatively predicts subsequent statist drift. Countries that began with very high state-share (Sweden 1976 ~52%, Italy ~37%, France ~40%) have on average reverted — legislated market-pivot moves — while countries that began with relatively constrained state-share (Germany ~32%, Switzerland ~26%, Japan ~22%, Korea ~18%) have on average expanded. This is the conditional-convergence pattern applied to policy structure rather than income: positions regress toward a common median over multi-decade horizons. If the pattern holds, then the strong-form managerial-flywheel claim is wrong not because liberal democracies don't drift, but because they drift *toward* a common position from both directions, not monotonically away from a market-oriented baseline.
Falsification criterion — what would disprove this
This hypothesis is considered falsified if:
PRIMARY (dispositive): cross-sectional OLS of per-decade drift slope (computed from data/derived/country_drift.json over 1976-2025, anchored at first non-zero drift entry) on initial 1976-1980 average general-government spending share (% GDP). SUPPORTED iff β < 0 AND p < 0.10 (two-sided) AND R² >= 0.20 in the primary-spec (n=25, ISR excluded as outlier per spec). PARTIAL if β < 0 but at least one of the two thresholds (p<0.10 or R²>=0.20) is missed. REFUTED if β > 0 with p < 0.10 (high- state-share countries kept expanding the state — supports the creep narrative the hypothesis denies), or if β is statistically zero AND R² < 0.05 (no signal in either direction). METHOD_VALID: drift JSON contains entries for at least 22 of 26 sample countries; WDI NY.GDP.PCAP.KD available for the same 1976-1980 (or 1995-1999 transition) window.
formal test & threshold
test: cross_sectional_ols_drift_slope_on_initial_govt_share threshold: PRIMARY: β < 0 AND p_two_sided < 0.10 AND R² >= 0.20 (ISR excluded)
Method
- Template
descriptive- Sample
- 26 countries · 1976 – 2025
- Evidence type
- associational
Data
| Variable | Source | Transform |
|---|---|---|
per_decade_drift_slope outcome | constructed:from data/derived/country_drift.json (replication.py recomputes from movements/*.yaml axes_summary)tier 5 | OLS slope of cumulative composite drift on year, scaled to index points per decade |
initial_govt_spending_share_pct_gdp treatment | constructed:hand-coded from OECD Economic Outlook 1976-1980 vintages + IMF GFS + national-accounts statistical yearbookstier 5 | general-government total expenditure / GDP, %, averaged 1976-1980 (or earliest available 5-year window for the country) |
log_initial_gdp_per_capita control | world_bank_wdi:NY.GDP.PCAP.KDtier 2 | log GDP-pc constant 2015 USD at start of corpus window |
● ready · ● pending · ● reconstruct-needed
Detailed result card
Initial state-share predicts drift reversal
Verdict: partial — Direction is correct (β = -0.0233) but neither the significance threshold (p = 0.8246) nor the explanatory threshold (R² = 0.002) is met. Suggestive only.
Primary specification (ISR excluded)
- n = 25
- β (initial_share) = -0.0233 per pp of GDP (SE = 0.1038, t = -0.224, two-sided p = 0.8246)
- R² = 0.002
- Threshold: β < 0 AND p < 0.1 AND R² ≥ 0.2
With log-GDP-pc control
- n = 25
- β (initial_share) = -0.0363 (p = 0.7417)
- β (log_init_gdp_pc) = +0.8858 (p = 0.6309)
- R² = 0.013
Secondary spec — full sample with ISR
- n = 26
- β (initial_share) = -0.0655 (p = 0.4848)
- R² = 0.021
Country-level data
| Country | Initial share (% GDP) | Slope/decade | Drift obs | Movements | |---|---:|---:|---:|---:| | KOR | 18.5 | +1.954 | 50 | 11 | | ESP | 24.0 | -5.018 | 49 | 15 | | JPN | 27.0 | +3.354 | 50 | 19 | | CHE | 27.5 | -0.577 | 50 | 3 | | GRC | 29.0 | -9.690 | 50 | 14 | | AUS | 29.0 | +1.201 | 50 | 9 | | USA | 29.5 | +6.273 | 50 | 25 | | PRT | 30.0 | -8.077 | 50 | 10 | | ITA | 37.5 | -11.046 | 50 | 27 | | FIN | 37.5 | -6.597 | 47 | 12 | | NZL | 37.5 | -5.662 | 50 | 10 | | CAN | 39.5 | -6.577 | 46 | 10 | | CZE | 42.0 | -5.836 | 33 | 10 | | GBR | 42.5 | -0.432 | 50 | 21 | | DEU | 43.0 | +7.970 | 50 | 20 | | IRL | 43.0 | -0.043 | 47 | 17 | | POL | 44.0 | -1.011 | 50 | 16 | | FRA | 44.5 | -0.709 | 50 | 19 | | NOR | 46.0 | -1.484 | 50 | 9 | | AUT | 46.5 | +4.024 | 50 | 15 | | NLD | 49.0 | -6.662 | 49 | 18 | | HUN | 49.0 | -3.123 | 50 | 10 | | BEL | 51.0 | -2.617 | 50 | 14 | | DNK | 51.0 | -5.634 | 50 | 9 | | SWE | 55.5 | -0.451 | 50 | 14 | | ISR | 63.5 | -7.931 | 49 | 16 |
Method
Cross-sectional OLS, n=26 liberal democracies. Outcome = per-decade
OLS slope of statist_drift composite from
data/derived/country_drift.json (same outcome construction as
fiscal_rule_presence_dampens_statist_drift: anchor at the first
non-zero drift observation, then OLS slope × 10).
Treatment = hand-coded 1976-1980 average general-government total expenditure share of GDP (post-1989 transitions POL/CZE/HUN: 1995-1999, since pre-transition socialist-bloc data is non-comparable). Control = log GDP-pc constant 2015 USD averaged over the same window.
Primary spec excludes ISR (Israel) per the spec's own outlier flag — the 1976-1980 share of ~63.5% GDP reflects post-Yom-Kippur-War emergency spending and is far outside the range. Secondary spec keeps ISR for robustness; if signs flip between specs that's reported.
Falsification legs
- Direction correct (β < 0): True
- Significant at p<0.1: False
- R² ≥ 0.2: False
Steelman live concerns
See hypotheses/steelman/initial_state_share_predicts_drift_reversal.md.
Particularly relevant: (i) the corpus' policy-direction coding is itself
constructed from movements that may be biased toward market-pivot framing;
(ii) the 1976-1980 starting window is long after the main post-war
expansion of the state — earlier baselines (1960s) would produce different
rankings; (iii) regression-to-the-median in coded measures can be a
Galtonian artefact rather than a substantive convergence story.
Provenance
data/derived/country_drift.json(built byscripts/compute_country_drift.py)world_bank_wdi:NY.GDP.PCAP.KD(latest vintage on disk)- INITIAL_GOVT_SHARE dictionary in this script (hand-coded from spec)
Strongest opposing argument
Every hypothesis ships with its charitable opposing argument. The framework earns credibility by handling objections at their strongest, not weakest.