Everything Hertz

Methodology, scientific life, and bad language.

About the show

Methodology, scientific life, and bad language. Co-hosted by Dr. Dan Quintana (University of Oslo) and Dr. James Heathers (Cipher Skin)

Everything Hertz on social media


  • 40: Meta-research (with Michèle Nuijten)

    March 24th, 2017  |  49 mins 18 secs

    Dan and James are joined by Michèle Nuijten (Tilburg University) to discuss 'statcheck', an algorithm that automatically scans papers for statistical tests, recomputes p-values, and flags inconsistencies

  • 39: Academic hipsters

    March 10th, 2017  |  54 mins 49 secs

    In this episode, James and Dan discuss academic hipsters. These are people who insist you need to use specific tools in your science like R, python, and LaTeX. So should you start using these trendy tools despite the steep learning curve?

  • 38: Work/life balance - Part 2

    February 24th, 2017  |  1 hr 2 mins

    Dan and James continue their discussion on work/life balance in academia. They also suggest ways to get your work done within a sane amount of hours as well as how to pick the right lab

  • 37: Work/life balance in academia

    February 17th, 2017  |  56 mins 30 secs

    In this episode, we talk work/life balance for early career researchers. Do you need to work a 70-hour week to be a successful scientist or can you actually have a life outside the lab?

  • 36: Statistical inconsistencies in published research

    January 27th, 2017  |  50 mins 40 secs

    In episode 34 we covered a blog post that highlighted questionable analytical approaches in psychology. That post mentioned four studies that resulted from this approach, which a team of researchers took a closer look into. Dan and James discuss the statistical inconsistencies that the authors reported in a recent preprint.

  • 35: A manifesto for reproducible science

    January 20th, 2017  |  50 mins 41 secs

    Dan and James discuss a new paper in the inaugural issue of Nature Human Behaviour, "A manifesto for reproducible science"

  • 34: E-health (with Robin Kok)

    December 22nd, 2016  |  1 hr 11 secs

    Dan and James have their very first guest! For this episode they're joined by Robin Kok (University of Southern Denmark) to talk e-health. They also cover a recent blog post that inadvertently highlighted questionable research practices in psychology.

  • 33: Zombie theories

    December 16th, 2016  |  43 mins 53 secs

    Dan and James discuss Zombie theories, which are scientific ideas that continue to live on in the absence of evidence. Why do these ideas persist and how do we kill them for good?

  • 32: Can worrying about getting sick make you sicker?

    December 1st, 2016  |  43 mins 8 secs

    Dan and James discuss a new population study that linked health anxiety data with future heart disease

  • 31: Discover your psychiatric risk with this one weird trick

    November 16th, 2016  |  54 mins 56 secs

    Dan and James discuss a recent study of over one million Swedish men that found that higher resting heart rate late adolescence was associated with an increased risk for subsequent psychiatric illness

  • 30: Authorship

    November 2nd, 2016  |  49 mins 5 secs

    Dan and James discuss authorship in the biomedical sciences

  • 29: Learning new skills

    October 16th, 2016  |  48 mins 55 secs

    Dan and James talk about how they learn new things

  • 28: Positive developments in biomedical science

    September 30th, 2016  |  49 mins 4 secs

    Pre-registration, p-hacking, power, protocols. All these concepts are pretty mainstream in 2016 but hardly discussed 5 years ago. In this episode, James and Dan talk about these ideas and other developments in biomedical science.

  • 27: Complaints and grievances

    September 23rd, 2016  |  52 mins 45 secs

    Dan and James discuss complaints and grievances. Stay tuned for part 2 (next episode) where things get positive.

  • 26: Interpreting effect sizes

    September 9th, 2016  |  45 mins 31 secs

    Dan and James discuss Dan's recent preprint describing an effect size distribution analysis on HRV studies.

  • 25: Misunderstanding p-values

    August 27th, 2016  |  55 mins 2 secs

    P-values are universal, but do we really know what they mean? In this episode, Dan and James discuss a recent paper describing the failure to correctly interpret p-values in a sample of academic psychologists.