B Evidence Grade B Graded under review Safe to Cite Recent

80%

80% -- misinterpretation rate for practitioners reading frequentist A/B test results (2025)

2025  · CXL

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Attribution: CXL View source
Lighthouse Research Team
Last verified:  ·  How we verify data →
Source verified Evidence graded
Value
80%
Unit
Percentage
Data Vintage
2025
Entity
practitioners reading frequentist A/B test results
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
CXL Primary Tier B
https://kirro.io/bayesian-ab-testing ↗
Confidence: 53/100 Vintage: 2025 Channel: Deep Crawl
Source Article
Bayesian A/B Testing: When It Helps, When It Is Overkill
Bayesian A/B testing measures which version of a page works better using a probability that updates as data comes in. Instead of waiting for some magic number of visitors, you get a running answer: “Version B has an 89% chance of getting more signups.” That’s it. No statistics degree required. Peopl…
Original Research
CXL · Original study ↗

CXL research, cited by Kirro

Methodology documented
Industrymarketing
Plain Text
practitioners reading frequentist A/B test results: 80% misinterpretation rate. Source: CXL (2025). Via Lighthouse Intelligence -- https://lighthousedata.io/data/misread-pvalues-as-probabilities-80
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<blockquote cite="https://lighthousedata.io/data/misread-pvalues-as-probabilities-80" style="border-left:3px solid #2563eb;padding:12px 16px;margin:16px 0;font-family:system-ui,sans-serif;background:#f0f4ff;"><strong>80%</strong> -- misinterpretation rate for practitioners reading frequentist A/B test results<br><small>Source: CXL (2025) · <a href="https://lighthousedata.io/data/misread-pvalues-as-probabilities-80" target="_blank" rel="noopener">Lighthouse Intelligence</a></small></blockquote>
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