Data Skeptic

A podcast by Kyle Polich

Categories:

559 Episodes

  1. Inclusive Study Group Formation at Scale

    Published: 4/25/2023
  2. The PhilPapers Survey

    Published: 4/21/2023
  3. Non-Response Bias

    Published: 4/10/2023
  4. Measuring Trust in Robots with Likert Scales

    Published: 4/3/2023
  5. CAREER Prediction

    Published: 3/27/2023
  6. The Panel Study of Income Dynamics

    Published: 3/21/2023
  7. Survey Design Working Session

    Published: 3/14/2023
  8. Bot Detection and Dyadic Surveys

    Published: 3/6/2023
  9. Reproducible ESP Testing

    Published: 2/20/2023
  10. A Survey of Data Science Methodologies

    Published: 2/13/2023
  11. Opinion Dynamics Models

    Published: 2/6/2023
  12. Casual Affective Triggers

    Published: 1/30/2023
  13. Conversational Surveys

    Published: 1/23/2023
  14. Do Results Generalize for Privacy and Security Surveys

    Published: 1/17/2023
  15. 4 out of 5 Data Scientists Agree

    Published: 1/10/2023
  16. Crowdfunded Board Games

    Published: 12/26/2022
  17. Russian Election Interference Effectiveness

    Published: 12/19/2022
  18. Placement Laundering Fraud

    Published: 12/15/2022
  19. Data Clean Rooms

    Published: 12/12/2022
  20. Dark Patterns in Site Design

    Published: 12/5/2022

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The Data Skeptic Podcast features interviews and discussion of topics related to data science, statistics, machine learning, artificial intelligence and the like, all from the perspective of applying critical thinking and the scientific method to evaluate the veracity of claims and efficacy of approaches.