Normal Curves: Sexy Science, Serious Statistics

Your Brain on AI: Is ChatGPT making us mentally lazy?

ChatGPT is melting our brainpower, killing creativity, and making us soulless — or so the headlines imply. We dig into the study behind the claims, starting with quirky bar charts and mysterious sample sizes, then winding through hairball-like brain diagrams and tens of thousands of statistical tests. Our statistical sleuthing leaves us with questions, not just about the results, but about whether this was science’s version of a first date that looked better on paper.

Statistical topics

  • ANOVA
  • Bar graphs
  • Data visualization 
  • False Discovery Rate correction
  • Multiple testing
  • Preprints
  • Statistical Sleuthing

Methodological morals

  • "Treat your preprints like your blind dates. Show up showered and with teeth brushed."
  • "Always check your N. Then check it again."
  • "Never make a bar graph that just shows p-values. Ever."

Link to paper

Kristin and Regina’s online courses: 

  • Demystifying Data: A Modern Approach to Statistical Understanding  
  • Clinical Trials: Design, Strategy, and Analysis 
  • Medical Statistics Certificate Program  
  • Writing in the Sciences 
  • Epidemiology and Clinical Research Graduate Certificate Program

Programs that we teach in:

  • Epidemiology and Clinical Research Graduate Certificate Program 

Find us on:

Kristin -  LinkedIn & Twitter/X

Regina - LinkedIn & ReginaNuzzo.com

  • (00:00) - Intro
  • (03:46) - Media coverage of the study
  • (08:35) - The experiment
  • (12:09) - Sample size issues
  • (13:11) - Bar chart sleuthing
  • (19:15) - Blind date analogy
  • (22:57) - Interview results
  • (29:07) - Simple text analysis results
  • (33:07) - Natural language processing results
  • (40:03) - N-gram and ontology analysis results
  • (44:58) - Teacher evaluation results
  • (51:33) - Neuroimaging analysis
  • (59:35) - Multiple testing and connectivity issues
  • (01:05:13) - Brain adaptation results
  • (01:08:50) - Wrap-up, rating, and methodological morals