Everything Hertz podcast

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Description: A permanent archive of Everything Hertz podcast episodes. Each episode component contains an mp3 file, brief episode description, citation information, and full episode notes in the wiki section.

License: CC-By Attribution 4.0 International

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  • 1: So you want to measure heart rate variability...

    Dan and James discuss what to do if you want to collect heart rate variability (HRV) data, oxytocin parties (yes, they're a thing), and the peer revie...

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  • 2: Nutrition and Psychiatry

    Dan and James talk about nutrition and psychiatry. They also introduce themselves (you know, because that's what you do for your *second* episode) and...

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  • 3: Scientific publishing

    Dan and James talk about Scihub and open access publishing.

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  • 4: Meta-analysis or mega-silliness?

    Dan defends meta-analysis against more recent criticisms put forward by James and offers suggestions on how meta-analysis can be improved.

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  • 5: Do you even replicate?

    James and Dan talk about replication in science, self-control, and the file-drawer problem in oxytocin research

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  • 6: The research pipeline - getting from idea to publication

    James and Dan talk about getting from research idea to publication. They discuss the ethical approval process, getting research published, and share t...

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  • 7: The writing process

    How do you write a lot and do it well? In this episode, James and Dan discuss the writing process and the tools they use to get things done.

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  • 8: The PhD to Postdoc transition

    James and Dan discuss how to navigate the PhD to Postdoc transition. They provide advice to a hypothetical first-year graduate student and also discus...

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  • 9: What happens if your research is wrong?

    James and Dan discuss what happens if your research is wrong. They talk about the recent controversy surrounding tDCS, why many people don't hold nega...

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  • 10: Failure

    James and Dan talk about failure. What's the benefit of openly sharing your failures - is this an antidote to the imposter syndrome or something only ...

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  • 11: The placebo effect

    James and Dan discuss issues surrounding the placebo effect

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  • 12: Reporting heart rate variability studies

    Dan and James discuss their latest paper, in which they propose heart rate variability reporting guidelines. They also talk about saunas (why not?) an...

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  • 13: Academic horror stories

    Dan and James discuss a few academic horror stories sent in by their listeners

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  • 14: Science communication

    Dan and James discuss public engagement, science communication, and the internet outrage machine

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  • 15: Software and coding

    Dan and James discuss software and coding, including the tools they use

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  • 16: What makes a good psych study?

    What are the defining characteristics of a good psychology study? We received this excellent question from a listener and decided to do a whole episod...

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  • 17: Journals: Do we need them?

    Do we really need scientific journals?

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  • 18: Data sharing

    Withholding data: bad science or scientific misconduct?

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  • 19: Let us spray: oxytocin and spirituality

    Dan and James discuss a recent paper on intranasal oxytocin and spirituality

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  • 20: Sample sizes in psychology studies

    Can psychologists learn more by studying fewer people?

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  • 21: This is your brain on steroids

    Dan and James discuss a new paper that compared brain structure in long-term steroid users and non-using weightlifters

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  • 22: Pokemon and public health

    Pokemon Go is sweeping the world and getting people walking again! But is the Pokemon Go 'model' a golden opportunity to tackle obesity or just anothe...

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  • 23: Serious academics

    Can you be a "serious academic" while still posting photos on Instagram? In this episode, James and Dan discuss a recent article bemoaning the infiltr...

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  • 24: Incentive structures in science

    Science funding has a series of built in incentive structures, but what sort of science does this produce?

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  • 25: Misunderstanding p-values

    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 correctl...

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  • 26: Interpreting effect sizes

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

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  • 27: Complaints and grievances

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

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  • 28: Positive developments in biomedical science

    Pre-registration, p-hacking, power, protocols. All these concepts are pretty mainstream in 2016 but hardly discussed 5 years ago. In this episode, Jam...

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  • 29: Learning new skills

    Dan and James talk about how they learn new things

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  • 30: Authorship

    Dan and James discuss authorship in the biomedical sciences

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

    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...

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

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

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  • 33: Zombie theories

    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 ...

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  • 34: E-health (with Robin Kok)

    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 c...

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  • 35: A manifesto for reproducible science

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

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  • 36: Statistical inconsistencies in published research

    In episode 34 we covered a blog post that highlighted questionable analytical approaches in psychology. That post mentioned four studies that resulted...

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  • 37: Work/life balance in academia

    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 ac...

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  • 38: Work/life balance - Part 2

    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 a...

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  • 39: Academic hipsters

    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,...

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  • 40: Meta-research (with Michèle Nuijten)

    Dan and James are joined by Michèle Nuijten (Tilburg University) to discuss 'statcheck', an algorithm that automatically scans papers for statistical ...

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  • 41: Objecting to published research (with William Gunn)

    In this episode, Dan and James are joined by William Gunn (Director of Scholarly communications at Elsevier) to discuss ways in which you can object t...

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  • 42: Some of my best friends are Bayesians (with Daniel Lakens)

    Daniel Lakens (Eindhoven University of Technology) drops in to talk statistical inference with James and Dan.

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  • 43: Death, taxes, and publication bias in meta-analysis (with Daniel Lakens)

    Daniel Lakens (Eindhoven University of Technology) joins James and Dan to talk meta-analysis

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  • 44: Who’s afraid of the New Bad People? (with Nick Brown)

    James and Dan are joined by Nick Brown (University of Groningen) to discuss how the New Bad People—also known as shameless little bullies, vigilantes,...

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  • 45: Conferences and conspiracy theories

    It’s conference season so in this episode Dan and James discuss the ins and outs of scientific conferences

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  • 46: Statistical literacy (with Andy Field)

    In this episode, Dan and James are joined by Andy Field (University of Sussex), author of the “Discovering Statistics” textbook series, to chat about ...

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  • 47: Truth bombs from a methodological freedom fighter (with Anne Scheel)

    In this episode, Dan and James are joined by Anne Scheel (LMU Munich) to discuss open science advocacy

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  • 48: Breaking up with the impact factor (with Jason Hoyt)

    Dan and James are joined by Jason Hoyt, who is the CEO and co-founder of PeerJ, an open access journal for the biological and medical sciences

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  • 49: War and p's

    Dan and James discuss a forthcoming paper that's causing a bit of a stir by proposing that biobehavioral scientists should use a 0.005 p-value statist...

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  • 50: Special 50th episode (LIVE)

    Dan and James celebrate their 50th episode with a live recording! They cover a blog post that argues grad students shouldn’t be publishing, what’s exp...

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  • 51: Preprints (with Jessica Polka)

    In this episode, Dan and James are joined by Jessica Polka, Director of ASAPbio, to chat about preprints

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  • 52: Give p's a chance (with Daniel Lakens)

    In this episode, Dan and James welcome back Daniel Lakens (Eindhoven University of Technology) to discuss his new paper on justifying your alpha level

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  • 53: Skin in the game

    Dan and James discuss whether you need to have “skin in the game” to critique research

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  • 54: Cuckoo Science

    In this episode, James sits in the guest chair as Dan interviews him on his recent work find and exposing inconsistent results in the scientific liter...

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  • 55: The proposal to redefine clinical trials

    Dan and James discuss the US National Institutes of Health's new definition of a “clinical trial”, which comes into effect on the 25th of January

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  • 56: Registered reports (with Chris Chambers)

    Dan and James are joined by Chris Chambers (Cardiff University) to discuss the Registered Reports format

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  • 57: Radical Transparency (with Rebecca Willén)

    Dan and James are joined by Rebecca Willén (Institute for Globally Distributed Open Research and Education) to discuss transparency in scientific rese...

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  • 58: Lessons from podcasting (with Simine Vazire)

    Dan and James are joined by Simine Vazire (University of California, Davis and co-host of the Black Goat podcast) to chat about the role of podcasting...

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  • 59: Rethinking the scientific journal (with Rickard Carlsson)

    Despite cosmetic changes, scientific journals haven't changed that much over the past few decades. So what if we were to completely rethink how a scie...

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  • 60: This is more of a comment than a question

    Dan and James answer listener questions on academic conferences, getting abreast of the literature, and conflicts of interest

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  • 61: Performance enhancing thugs (with Greg Nuckols)

    Dan and James chat with Greg Nuckols, who is grad student in exercise physiology, strength coach, and writer at strongerbyscience.com

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  • 62: Adopting open science practices (with Dorothy Bishop)

    Dan and James chat about the adoption of open science practices with Dorothy Bishop, Professor of Developmental Neuropsychology at the University of O...

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  • 63: Science journalism (with Brian Resnick)

    Dan and James chat about science journalism with Brian Resnick, who is a science reporter at Vox.com

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  • 64: Salami slicing

    Dan and James talk about the recent SIPS conference and answer a listener question on "salami slicing" the outcomes from one study into multiple paper...

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  • 65: Blockchain and open science (with Jon Brock)

    Dan and James chat with Jon Brock (Cognitive scientist at Frankl) about the use of blockchain technology for open science

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  • 66: Ideal worlds vs grim truths

    Dan and James answer listener questions on tips for starting your PhD and the role of statistics in exploratory research

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  • 67: Shit Academics Say (with Nathan Hall)

    We’re joined by Nathan Hall (McGill University) to chat about the role of humour in academia. Nathan is the person behind the ’Shit academics say’ Tw...

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  • 68: Friends don’t let friends believe in impact factors (with Nathan Hall)

    This episode includes part two of a chat with Nathan Hall (McGill University), who is the person behind the ’Shit academics say’ account (@AcademicsSa...

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  • 69: Open science tools (with Brian Nosek)

    We’re joined by Brian Nosek (Centre for Open Science and University of Virginia) to chat about building technology to make open science easier to impl...

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  • 70: Doubling-blinding dog balls

    Dan and James discuss the recent "grievance studies" hoax, whereby three people spent a year writing twenty-one fake manuscripts for submission to var...

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  • 71: Moving for your job

    In this episode, we chat about whether it’s necessary to move for an academic job to demonstrate “independence”

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  • 72: Anonymity in scientific publishing

    Dan and James discuss a new journal of "controversial ideas" that will allow authors to publish articles anonymously. They also launch their Patreon p...

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  • 73: Update your damn syllabus

    Dan and James discuss what's missing from biobehavioral science course syllabi

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  • 74: Seeing double (with Elisabeth Bik)

    In this episode, Dan and James chat with microbiologist Elisabeth Bik about about the detection of problematic images in scientific papers, the state ...

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  • 75: Overlay journals (with Daniele Marinazzo)

    We’re joined by Daniele Marinazzo (University of Ghent) to chat about the recently launched overlay journal Neurons, Behavior, Data analysis and Theor...

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  • 76: Open peer review

    Peer review is typically conducted behind closed doors. There's been a recent push to make open peer review standard, but what's often left out of the...

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  • 77: Promiscuous expertise

    Dan and James discuss how to deal with the problem of scientists who start talking about topics outside their area of expertise. They also discuss wha...

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  • 78: Large-scale collaborative science (with Lisa DeBruine)

    We chat with Lisa DeBruine (University of Glasgow) about her experiences with large-scale collaborative science and how her psychology department made...

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  • 79: Clinical trial reporting (with Henry Drysdale)

    We chat with Henry Drysdale (University of Oxford), co-founder of the COMPare trials project, which compared clinical trial registrations with reporte...

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  • 80: Cites are not endorsements (with Sean Rife)

    We chat with Sean Rife, who the co-founder of scite.ai, a start-up that combines natural language processing with a network of experts to evaluate the...

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  • 81: Too Young To Know, Too Old To Care

    We answer our first audio question, on whether academia is too broken to fix, and a second question on whether we’ve ever worried about the possible r...

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  • 82: More janitors and fewer architects

    We answer a listener question on the possible negative consequences of the open science movement—are things moving too quickly?

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  • 83: Back to our dirty unwashed roots

    By popular demand, Dan and James are kicking it old school and just shoot the breeze. They cover whether scientists should be on Twitter, if Fortnite ...

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  • 84: A GPS in the Garden of Forking Paths

    We chat with Amy Orben, who applies "multiverse" methodology to combat and expose analytical flexibility in her research area of the impact of digital...

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  • 85: GWAS big teeth you have, grandmother (with Kevin Mitchell)

    We chat with Kevin Mitchell (Trinity College Dublin) about what the field of psychology can learn from genetics research, how our research theories te...

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  • 86: Should I stay or should I go?

    Dan and James answer a listener question on whether they should stick it out for a few months in a toxic lab to get one more paper or if they should l...

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  • 87: Improving the scientific poster (with Mike Morrison)

    We chat with Mike Morrison, a former User Experience (UX) designer who quit his tech career to research how we can bring UX design principles to scien...

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  • 88: The pomodoro episode

    Dan and James apply the pomodoro principle by tackling four topics within a strict ten-minute time limit each: James' new error detection tool, academ...

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  • 89: Conflicts of interest in psychology (with Tom Chivers)

    We chat with Tom about whether psychology has a conflict-of-interest problem and how to best define conflicts.

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  • 90: Mo data mo problems

    Dan and James discuss listener questions on performing secondary data analysis and the potential for prestige to creep into open science reforms.

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  • 91: Shifting the goalposts in statistics (with Kristin Sainani)

    We chat with Kristin Sainani (Stanford University) about a popular statistical method in sports medicine research (magnitude based inference), which h...

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  • 92: Chaos in the brickyard

    Dan and James discuss the role of Google Scholar in citation patterns and whether we should limit academics to only publishing two papers a year.

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  • 93: Double-blind peer review vs. open science

    Dan and James answer a listener question on how to navigate open science practices, such as preprints and open code repositories, in light of double-b...

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  • 94: Predicting the replicability of research

    Dan and James chat with Fiona Fidler (University of Melbourne), who is leading the repliCATS project, which aims to develop accurate techniques to eli...

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