B Evidence Grade B Graded accuracy verified by the review judge Safe to Cite Current

26%

26% -- false positive rate for A/B tests stopped early (2026)

2026  · Evan Miller

Stopping A/B tests early can inflate false positive rates to as high as 26% even when using a 5% significance threshold.

  • Represents an inflated false positive rate when peeking/stopping tests early under a nominal 5% significance threshold
  • Attributed to research by Evan Miller
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Attribution: Evan Miller View source
Lighthouse Research Team
Last verified:  ·  How we verify data →
Source verified Evidence graded
Value
26%
Unit
Percentage
Data Vintage
2026
Entity
A/B tests stopped early
B
Strong, reliable evidence

Sourced from a well-regarded research firm or industry leader with transparent methodology and a reasonably large sample.

61/100 confidence

Single source - not yet corroborated

Extraction
75
Source Trust
60
Citation Chain
20
Independence
30
Methodology
45
Freshness
95
Evan Miller Primary Tier B
https://www.articos.com/blog/ab-testing-sample-size ↗
Confidence: 53/100 Vintage: 2026 Channel: Common Crawl
Source Article
A/B Testing Sample Size: How to Calculate It [Guide]
Original Research
Evan Miller · Original study ↗

Cited research from Evan Miller on statistical significance of early-stopped A/B tests

Methodology documented
Industrymarketing
Plain Text
A/B tests stopped early: 26% false positive rate. Source: Evan Miller (2026). Via Lighthouse Intelligence -- https://lighthousedata.io/data/early-ab-test-peeking-false-positive-rate
HTML Embed
<blockquote cite="https://lighthousedata.io/data/early-ab-test-peeking-false-positive-rate" style="border-left:3px solid #2563eb;padding:12px 16px;margin:16px 0;font-family:system-ui,sans-serif;background:#f0f4ff;"><strong>26%</strong> -- false positive rate for A/B tests stopped early<br><small>Source: Evan Miller (2026) · <a href="https://lighthousedata.io/data/early-ab-test-peeking-false-positive-rate" target="_blank" rel="noopener">Lighthouse Intelligence</a></small></blockquote>
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