AI article
Before You Call an LLM Endpoint "Nerfed": A Small Statistics Checklist in Python
Community description: Every few weeks someone posts "provider X is serving a watered-down model" with a handful of...
Dev.to | Oct 7, 2026 | sichi chen
Automated excerpt
Comparing two pre-chosen providers at 16/20 vs 8/20 is meaningful (Fisher p ≈ 0. 02). Give every provider the exact same true pass rate (60%), run each 20 times, and look at the gap between the best and worst: n_runs, p_true, sims = 20, 0. 6, 200_000 # every provider is identical: 60% pass rate passes = rng. binomial(n_runs, p_true, size=(sims, k)) print(f"{k:>2} providers: P(best-worst gap >= 8) = {(gap >= 8). mean():5. 1%} " f"95th percentile of gap = {np. percentile(gap, 95):. 0f}") 2 providers: P(best-worst gap >= 8) = 1.
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