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Equipment Size: What is average?

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Manage episode 486403439 series 3646567
Content provided by Regina Nuzzo and Kristin Sainani. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Regina Nuzzo and Kristin Sainani or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://ppacc.player.fm/legal.

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

Our online courses and programs:

Find us on social:

Kristin - LinkedIn & Twitter/X

Regina - LinkedIn & ReginaNuzzo.com


  • (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

  continue reading

10 episodes

Artwork
iconShare
 
Manage episode 486403439 series 3646567
Content provided by Regina Nuzzo and Kristin Sainani. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Regina Nuzzo and Kristin Sainani or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://ppacc.player.fm/legal.

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

Our online courses and programs:

Find us on social:

Kristin - LinkedIn & Twitter/X

Regina - LinkedIn & ReginaNuzzo.com


  • (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

  continue reading

10 episodes

All episodes

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