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Equipment Size: What is average?

June 2, 2025 · 54 min

Show notes

Today’s deep dive: the surprisingly serious science of penis size. Using self-report surveys, objective measurements, and a healthy dose of old-school statistics, we ask: How do you get clean data on gentlemen’s goods?Along the way, we explore social desirability bias, survey design tricks, and what happens when science meets insecurity. You’ll never look at a Starbucks cup the same way again.

Statistical topics

  • Social desirability bias
  • Selection bias
  • Volunteer Bias
  • Descriptive Statistics
  • Right-Skewed Distributions
  • Strategies to improve accuracy in self-report data

Methodological morals

  • “When answers aim to please, truth takes its leave.”
  • “Without descriptive statistics, you'll never know if you measure up.”

References


Spreadsheet with Penis Length Data


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  • (00:00) - Introduction
  • (02:33) - Starbucks metric and episode themes
  • (07:17) - Men and women’s sampling frames
  • (09:24) - Kinsey and his studies
  • (14:59) - Statistics quiz on Kinsey penis data
  • (21:16) - Social desirability bias
  • (28:23) - Cognitive tricks to elicit honest survey answers
  • (34:16) - Condoms, honest penis lengths, and another stats quiz
  • (40:36) - Objective penis appraisers, measurement error, and reliability
  • (45:48) - Whose penises? Volunteer and selection bias
  • (49:33) - Mini-meta-analysis and the “answer”
  • (51:12) - Wrap-up and methodological morals


All episodes of Normal Curves: Sexy Science, Serious Statistics

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