Normal Curves: Sexy Science, Serious Statistics

Regina Nuzzo, Kristin Sainani

Booking Overview

This is a solo expert science-and-statistics show that occasionally interviews academic researchers and methodological experts connected to the study or scientific controversy under review. Suitable pitches include statisticians, epidemiologists, research-integrity specialists, open-science advocates, and authors of notable scientific studies; booking difficulty is medium because guests need strong subject-matter expertise and a clear ability to explain technical issues accessibly.

Metrics

Episodes: 45

Frequency: Every two weeks

Rating: 4.9/5.0

Estimated listeners: 1,000 - 10,000

Gender skew: Neutral

Listener location: USA

Contact Information

Publicly listed emails

podcasts@podiumpodcastco.com

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Host

Regina Nuzzo - Professor at Gallaudet University who specializes in statistics and science communication, and co-hosts discussions that critically examine scientific studies and their data.

Kristin Sainani - Professor at Stanford University who specializes in statistics and science communication, and co-hosts accessible, method-focused examinations of academic research.

Booking Intelligence

Booking Requirements

medium

Typical Credentials:

Researchers, statisticians, epidemiologists, methodologists, or research-integrity specialists with direct expertise in the study design, statistical issue, or scientific controversy being examined, plus the ability to explain technical concepts clearly to a general audience.

Required Achievements:

Peer-reviewed research, Published methodological commentary or analysis, Direct involvement in a notable scientific study or controversy, Work in research integrity, open science, reproducibility, or scientific communication

Recent Guest Discussions

Alyssa Smith - Self-correction In Science, Retractions, Data Errors, Research Integrity, And The Professional Consequences Of Correcting Published Work.

Kate Laskowski - Scientific Retractions, Data Forensics, Research Integrity, Documentation, Reproducible Workflows, And The Social Stigma Surrounding Corrections.

Andrew Althouse - Statistical Power, Post Hoc Power, Sample Size, False Negatives, Research Ethics, Scientific Controversy, And How Researchers Correct Methodological Errors.

Recent Topics

Science, Statistics, Research Methods, Data Analysis, Research Integrity

Episodes

Here's the recent few episodes on

Normal Curves: Sexy Science, Serious Statistics

Statistical Sleuthing: Can you spot a problem?

October 05, 2026

Can you spot problems in a scientific study just by reading the published paper? We put our statistical sleuthing skills to the test with a famous study on procrastination and deadlines that was retracted more than 20 years after it was published. But were there clues hidden in plain sight in the published results—and would we have noticed anything suspicious at the time? We put on our data-detective hats and find a few statistical clues of our own before turning to Data Colada’s investigatio...

Ctrl-Z Awards: Will retracting your paper ruin your career?

September 21, 2026

What happens when you discover that your published paper is wrong? Does retracting it ruin your reputation—or could owning the mistake actually make things better? In this episode, we meet the inaugural winners of the Ctrl-Z Awards, which recognize scientists for correcting or retracting their own work. Behavioral ecologist Kate Laskowski takes us inside a scientific detective story involving suspicious spider data, three retracted papers, and the fear that going public might tank her career....

Statistical Power: When is it useful?

September 07, 2026

Statistical power is one of the most important ideas in statistics—and one of the most misunderstood. In this episode, we explain what statistical power really means, why researchers need to think about it before they collect their data, and what goes wrong when they calculate “post hoc power” after the study is over. Along the way, we hunt for UFOs, test Kristin’s psychic abilities, explore the ethics of underpowered studies, and discover why post hoc power is really just a p-value wearing a...

Publicly listed emails

podcasts@podiumpodcastco.com

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