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BJKS Podcast

BJKS Podcast

Benjamin James Kuper-Smith

A podcast about neuroscience, psychology, and anything vaguely related. Long-form interviews with people whose work I find interesting.

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Top 10 BJKS Podcast Episodes

Goodpods has curated a list of the 10 best BJKS Podcast episodes, ranked by the number of listens and likes each episode have garnered from our listeners. If you are listening to BJKS Podcast for the first time, there's no better place to start than with one of these standout episodes. If you are a fan of the show, vote for your favorite BJKS Podcast episode by adding your comments to the episode page.

Matthias Nau is a cognitive neuroscientist at the Kavli Institute for Systems Neuroscience in Trondheim, Norway. He finished his PhD recently in Christian Doeller's group at the Kavli, where he currently works as a postdoc. Whenever the current pandemic cools down, Matthias will start a position as a postdoc at NIH with Chris Baker (this position was supposed to start in early 2020).

In this conversation, we talk about a variety of topics, from Matthias's recent research (the link between vision and high-level spatial coding principles in the brain (e.g. grid cells), the development of cognitive maps in humans, and a novel form of using fMRI for eye-tracking he co-developed with Markus Frey), to the relationship between electrophysiology studies in animals and fMRI studies in humans, education in neuroscience, and science communication.
Timestamps:

  • 0:00:15 MR-based eye-tracking
  • 0:22:50 Switching to Python
  • 0:26:20 Grid Cells and vision
  • 0:39:59 Development of the cognitive map in humans
  • 0:45:10 Electrophysiology and fMRI
  • 1:02:25 The interdisciplinary education of neuroscientists
  • 1:20:17 Twitter, science communication, and this podcast
  • 1:35:38 Matthias's plans for the future, complicated by COVID

Links:

Papers mentioned:

Killian, N. J., Jutras, M. J., & Buffalo, E. A. (2012). A map of visual space in the primate entorhinal cortex. Nature.

Nau, M., Schröder, T. N., Bellmund, J. L., & Doeller, C. F. (2018). Hexadirectional coding of visual space in human entorhinal cortex. Nature neuroscience.

Nau, M., Julian, J. B., & Doeller, C. F. (2018). How the brain’s navigation system shapes our visual experience. Trends in cognitive sciences.

Wills, T. J., Cacucci, F., Burgess, N., & O'Keefe, J. (2010). Development of the hippocampal cognitive map in preweanling rats. Science.

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David Van Essen is an Alumni Endowed Professor of Neuroscience at Washington University School of Medicine in St. Louis. In this conversation, we talk about David's path to becoming a neuroscientist, the Human Connectome project, hierarhical processing in the cerebral cortex, and much more.
BJKS Podcast is a podcast about neuroscience, psychology, and anything vaguely related, hosted by Benjamin James Kuper-Smith.
Support the show: https://geni.us/bjks-patreon
Timestamps
0:00:00: David's childhood: ravens, rockets, and radios
0:05:00: From physics to neuroscience (via chemistry)
0:13:55: Quantitative and qualitative approaches to science
0:19:17: Model species in neuroscience
0:31:35: Hierarchical processing in the cortex
0:46:54: The Human Connectome Project
0:55:00: A book or paper more people should read
0:58:01: Something David wishes he'd learnt sooner
1:00:31: Advice for PhD students/postdocs
Podcast links

David's links

Ben's links

References & links
David's autobiographical sketch for the Society for Neuroscience (in Volume 9): https://www.sfn.org/about/history-of-neuroscience/autobiographical-chapters
Felleman & Van Essen (1991). Distributed hierarchical processing in the primate cerebral cortex. Cerebral Cortex.
Glasser, Coalson, Robinson, Hacker, Harwell, Yacoub, ... & Van Essen (2016). A multi-modal parcellation of human cerebral cortex. Nature.
Hubel & Wiesel (1962). Receptive fields, binocular interaction and functional architecture in the cat's visual cortex. The Journal of physiology.
Maunsell & Van Essen (1983). The connections of the middle temporal visual area (MT) and their relationship to a cortical hierarchy in the macaque monkey. Journal of Neuroscience.
Sheldrake (2021). Entangled life: How fungi make our worlds, change our minds & shape our futures.
Van Essen & Kelly (1973). Morphological identification of simple, complex and hypercomplex cells in the visual cortex of the cat. In Intracellular Staining in Neurobiology (pp. 189-198).
Van Essen & Maunsell (1980). Two‐dimensional maps of the cerebral cortex. Journal of Comparative Neurology.
Van Essen (2012). Cortical cartography and Caret software. Neuroimage.
Van Essen, Smith, Barch, Behrens, Yacoub, Ugurbil & WU-Minn HCP Consortium. (2013). The WU-Minn human connectome project: an overview. Neuroimage.
Wooldridge (1963). The machinery of the brain.

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Kate Jeffery is a professor of behavioural neuroscience at University College London, where she works on spatial navigation. In this conversation, we talk about the history of spatial navigation, Kate's work on grid cells and place cells in 3D, and her recent work on entropy and brain evolution.
Timestamps
0:00:05: Kate's journey from medicine to neuroscience
0:10:57: A brief history of spatial navigation
0:30:43: PhD applications now and in 1990
0:34:38: Kate recorded grid cells 10 years before their discovery, without realising it
0:52:00: Prizes in science
1:05:20: A brief interlude as Kate gives her cat a treat
1:05:48: Lessons from working with Richard Morris and John O'Keefe
1:09:28: Spatial navigation in 3D
1:34:54: How many dimensions can the hippocampal formation track?
1:40:50: Kate's collaboration with Carlo Rovelli
Podcast links

Kate's links

Ben's links


References
Aronov et al 2017. Mapping of a non-spatial dimension by the hippocampal–entorhinal circuit. Nature
Bliss & Lømo 1973. Long‐lasting potentiation of synaptic transmission in the dentate area of the anaesthetized rabbit following stimulation of the perforant path. J Physiol
Burgess 2014. The 2014 Nobel Prize in Physiology or Medicine: a spatial model for cognitive neuroscience. Neuron
Casali et al 2019. Altered neural odometry in the vertical dimension. PNAS
Fyhn et al 2004. Spatial representation in the entorhinal cortex. Science
Grieves et al 2020. The place-cell representation of volumetric space in rats. Nat Commun
Grieves et al 2020. Grid cell firing fields in a volumetric space. bioRxiv
Hafting et al 2005. Microstructure of a spatial map in the entorhinal cortex. Nature
Jeffery et al 1997. Directional control of hippocampal place fields. Exp Brain Res
Jeffery & Morris 1993. Cumulative long-term potentiation in the rat dentate gyrus correlates with, but does not modify, performance in the water maze. Hippocampus
Jeffery & O’Keefe 1999. Learned interaction of visual and idiothetic cues in the control of place field orientation. Exp Brain Res
Jeffery et al 2019. On the statistical mechanics of life: Schrödinger revisited. Entropy
Jeffery & Rovelli 2020. Transitions in brain evolution: space, time and entropy. Trends Neurosci
Morris et al 1982. Place navigation impaired in rats with hippocampal lesions. Nature
O'Keefe & Dostrovsky 1971. The hippocampus as a spatial map: Preliminary evidence from unit activity in the freely-moving rat. Brain Res
Ranck 1984. Head direction cells in the deep layer of dorsal presubiculum in freely moving rats. In Society of Neurosci Abstract
Rovelli 2016. Seven brief lessons on physics
Shannon 1948. The mathematical theory of communication
Stensola et al 2012. The entorhinal grid map is discretized. Nature
Yartsev et al 2011. Grid cells without theta oscillations in the entorhinal cortex of bats. Nature

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Brooke Macnamara is an associate professor at Case Western Reserve University. In this conversation, we talk about her research on growth mindset and deliberate practice, whether deliberate practice is falsifiable, the benefits of diverse experiences, and much more.
BJKS Podcast is a podcast about neuroscience, psychology, and anything vaguely related, hosted by Benjamin James Kuper-Smith.
Support the show: https://geni.us/bjks-patreon
Timestamps
0:00:00: How Brooke started working on mindset and deliberate practice
0:02:10: (Growth) mindset: does it matter?
0:21:10: Mindset interventions
0:36:48: Deliberate practice
0:47:06: Benefits of diverse experiences
0:56:20: Is the theory of deliberate practice unfalsifiable?
0:59:36: What can we take practically from the growth mindset and deliberate pratice research?
1:01:06: A book or paper more people should read
1:02:10: Something Brooke wishes she'd learnt sooner
1:04:32: Advice for PhD students and postdocs
Podcast links

Brooke's links

Ben's links

References/links
Brainology mindset intervention: https://www.mindsetworks.com/programs/brainology-for-schools
Trello: https://trello.com
Burgoyne, Hambrick, & Macnamara (2020). How firm are the foundations of mind-set theory? The claims appear stronger than the evidence. Psychol Science.
Dweck (2006). Mindset-Changing the way you think to fulfil your potential.
Epstein (2021). Range: Why generalists triumph in a specialized world.
Ericsson & Harwell (2019). Deliberate practice and proposed limits on the effects of practice on the acquisition of expert performance. Frontiers in Psychol.
Ericsson, Krampe & Tesch-Römer (1993). The role of deliberate practice in the acquisition of expert performance. Psychol Rev.
Gladwell (2008). Outliers: The story of success.
Macnamara & Burgoyne (2023). Do growth mindset interventions impact students’ academic achievement? A systematic review and meta-analysis with recommendations for best practices. Psychol Bull.
Macnamara, Hambrick & Oswald (2014). Deliberate practice and performance in music, games, sports, education, and professions: A meta-analysis. Psychol Science.
Macnamara & Maitra (2019). The role of deliberate practice in expert performance: Revisiting Ericsson, Krampe & Tesch-Römer (1993). Royal Society Open Science.
Macnamara, Moreau & Hambrick (2016). The relationship between deliberate practice and performance in sports: A meta-analysis. Perspec Psychol Science.
Macnamara, Prather & Burgoyne (2023). Beliefs about success are prone to cognitive fallacies. Nat Rev Psychol.
Sisk, Burgoyne, Sun, Butler & Macnamara (2018). To what extent and under which circumstances are growth mind-sets important to academic achievement? Two meta-analyses. Psychol Science.

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Geoff Cumming is an Emeritus Professor at La Trobe University. In this conversation, we discuss his work on New Statistics: estimation instead of hypothesis testing, meta-analytic thinking, and many related topics.
Support the show: https://geni.us/bjks-patreon
Timestamps
0:00:00: A brief history of statistics, p-values, and confidence intervals
0:32:02: Meta-analytic thinking
0:42:56: Why do p-values seem so random?
0:45:59: Are p-values and estimation complementary?
0:47:09: How do I know how many participants I need (without a power calculation)?
0:50:27: Problems of the estimation approach (big data)
1:00:08: A book or paper more people should read
1:02:50: Something Geoff wishes he'd learnt sooner
1:04:52: Advice for PhD students and postdocs
Podcast links

Geoff's links

Ben's links

References/links
Dance of the p-values: https://www.youtube.com/watch?v=5OL1RqHrZQ8
Significance roulette: https://www.youtube.com/watch?v=OcJImS16jR4
Episode with Simine Vazire (SIPS): https://geni.us/bjks-vazire
Coulson, ...(2010). Confidence intervals permit, but don't guarantee, better inference than statistical significance testing. Front in Psychol.
Cumming & Calin-Jageman (2016/2024). Introduction to the new statistics: Estimation, open science, and beyond.
Cumming (2014). The new statistics: Why and how. Psychol Sci.
Cumming & Finch (2005). Inference by eye: confidence intervals and how to read pictures of data. American Psychol.
Errington, ... (2021) Reproducibility in Cancer Biology: Challpenges for assessing replicability in preclinical cancer biology. eLife.
Errington, ... (2021) Investigating the replicability of preclinical cancer biology. eLife.
Finch & Cumming (2009). Putting research in context: Understanding confidence intervals from one or more studies. J of Pediatric Psychol.
Hedges (1987). How hard is hard science, how soft is soft science? The empirical cumulativeness of research. American Psychologist.
Hunt (1997). How science takes stock: The story of meta-analysis.
Ioannidis (2005). Why most published research findings are false. PLoS Medicine.
Loftus (1996). Psychology will be a much better science when we change the way we analyze data. Curr direct psychol sci.
Maxwell, ... (2008). Sample size planning for statistical power and accuracy in parameter estimation. Annu Rev Psychol.
Oakes (1986). Statistical inference: A commentary for the social and behavioural sciences.
Pennington (2023). A Student's Guide to Open Science: Using the Replication Crisis Reform Psychology.
Rothman (1986). Significance questing. Annals of Int Med.
Schmidt (1996). Statistical significance testing and cumulative knowledge in psychology: Implications for training of researchers. Psychol Methods.

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This is the third episode of a book club series on Peter Gärdenfors's book Conceptual Spaces. In this episode, we will discuss chapters 5 and 6, in which Gärdenfors explains how semantics and induction fit into his theory of conceptual spaces.
For this series, I'm joined by Koen Frolichcs, who was already my cohost for the books club series on Lee Child's Killing Floor. Koen and I are PhD students in the same lab.
Podcast links

Koen's links

Ben's links

References
Gärdenfors, P. (2004). Conceptual spaces: The geometry of thought. MIT press.
Hohwy, J. (2013). The predictive mind. Oxford University Press.
https://en.wikipedia.org/wiki/Homo_economicus

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Gareth Barnes is a professor at University College London, where he is Head of Magnetoencephalography. We talk about how Gareth randomly stumbled into working on MEG, what MEG is, and some of his recent projects, including the exciting new generation of MEG scanners: OPM-MEG.
BJKS Podcast is a podcast about neuroscience, psychology, and anything vaguely related, hosted by Benjamin James Kuper-Smith. In 2022, episodes appear roughly twice per month. You can find the podcast on all podcasting platforms (e.g., Spotify, Apple/Google Podcasts, etc.).
Timestamps
0:00:03: How I found out about Gareth's work
0:02:31: What is MEG?
0:07:04: Flexible headcasts for MEG
0:19:49: How Gareth accidentally started working on MEG (after writing fiction in France)
0:28:46: The early days of MEG at Aston University (starting with a single channel)
0:40:58: The new generation of MEG: Optically pumped magnetometers (OPM-MEG)
1:13:33: Mouth MEG and measuring hippocampus with MEG
1:21:06: The relationship between methods development and discovery in basic science
Podcast links

Gareth's links

Ben's links

Links
MEG in the UK: https://meguk.ac.uk/
MEG image: https://biomaglaboratory.fi/wp-content/themes/biomagille/images/meg_image_20210422b.jpg
Cerca MEG: https://www.cercamagnetics.com/
Fieldline MEG: https://fieldlineinc.com/
Young Epilepsy: https://www.youngepilepsy.org.uk/
Sphenoidal electrodes: https://www.epilepsybehavior.com/article/S1525-5050(03)00023-4/fulltext
References
Boto, ... & Brookes (2018). Moving magnetoencephalography towards real-world applications with a wearable system. Nature.
Boto, ... & Brookes (2019). Wearable neuroimaging: Combining and contrasting magnetoencephalography and electroencephalography. NeuroImage.
Hill, ... & Brookes (2019). A tool for functional brain imaging with lifespan compliance. Nature Communications.
Meyer, ... & Barnes (2017). Flexible head-casts for high spatial precision MEG. Journal of neuroscience methods.
Sander, ... & Knappe (2012). Magnetoencephalography with a chip-scale atomic magnetometer. Biomedical optics express.
Seymour, ... & Maguire (2021). Using OPMs to measure neural activity in standing, mobile participants. NeuroImage.
Stangl, ... & Suthana (2021). Boundary-anchored neural mechanisms of location-encoding for self and others. Nature.
Tierney, ... & Barnes (2019). Optically pumped magnetometers: From quantum origins to multi-channel magnetoencephalography. NeuroImage.
Tierney, ... & Barnes (2021). Mouth magnetoencephalography: A unique perspective on the human hippocampus. NeuroImage.
Vivekananda, ... & Walker (2020). Optically pumped magnetoencephalography in epilepsy. Annals of clinical and translational neurology.

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Adeyemi Adetula is a PhD student at the University of Grenoble, where he is leading the ManyLabs Africa project. In this conversation, we talk about that project, his recent commentary 'Psychology should generalize from - not just to - Africa', how Western researchers can best collaborate with African researchers, and much more.
Timestamps
0:00:05: How Adeyemi went from psychology student in Nigeria to PhD student in France
0:13:27: ManyLabs Africa
0:18:54: Synergy between the Credibility Revolution and research development in Africa
0:25:26: How and why Adeyemi crowdfunded his PhD
0:36:42: Psychology should generalize from - not just to - Africa
0:54:47: How can Western researchers test their theories in more diverse samples?
1:03:47: Pounded yam with Egusi soup and bushmeat
Podcast links

Adeyemi's links

Ben's links

References and links
ManyLabs Africa: https://osf.io/vh6td/
Collaborative Replications and Education Project: https://www.crep-psych.org/
CREP Africa: https://osf.io/kvhzg/
Sci-Hub: https://en.wikipedia.org/wiki/Sci-Hub
Adeyemi's GoFundMe: https://www.gofundme.com/f/support-african-scholar-in-financial-distress
Adeyemi's Patreon: https://www.patreon.com/support_adeyemi_adetula_dream
Adetula, ... IJzerman (2022). Psychology should generalize from—not just to—Africa. Nat Rev Psych.
Adetula, ... IJzerman (2021). Synergy Between the Credibility Revolution and Human Development in Africa. AfricArXive.
Adetula, ... IJzerman, H. (2021). The Evaluation of Harm and Purity Transgressions in Africans: A Paradigmatic Replication of Rottman and Young (2019). AfricArXive
Klein, ... Nosek (2014). Investigating variation in replicability: A “many labs” replication project. Soc Psych.
Rottman & Young (2019). Specks of dirt and tons of pain: Dosage distinguishes impurity from harm. Psych Sci.
The 5 shortlisted African papers for the ManyLabs Africa replication:
Bevan-Dye & Akpojivi (2016). South African Generation Y students’ self-disclosure on Facebook. South African J of Psych.
Kombo, S. (n.d.). Using behavioural informed communication to drive civic engagement. [Unpublished paper] https://busaracenter.org/case_studies/behaviorally-informed-communication-to-drive-civic-engagement/
Mgbokwere, Esienumoh & Uyana (2015). Perception and attitudes of parents towards teenage pregnancy in a rural community of Cross river state, Nigeria. Global J of Pure & Applied Sci.
Ojedokun (2015). Extramarital affair as correlate of reproductive health and home instability among couples in Ibadan, Nigeria. African J of Social Work.
Teye-Kwadjo, Kagee & Swart (2018). Condom use negotiation among high school adolescents in Ghana: The role of gender. South African J of Psych.

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BJKS Podcast - 62. Nils Köbis: AI, corruption, and deepfakes
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09/13/22 • 94 min

Nils Köbis is a research scientist at the Max Planck Institute for Human Development, where he studies the intersection of AI and corruption. In this conversation, we talk about how Nils got into working on this topic, and some of his recent papers on AI, corruption, deepfakes, and AI poetry.
BJKS Podcast is a podcast about neuroscience, psychology, and anything vaguely related, hosted by Benjamin James Kuper-Smith. In 2022, episodes will appear irregularly, roughly twice per month.
Timestamps
0:00:04: Moral Games
0:13:09: How Nils started working at the intersection of AI and corruption
0:30:12: Start discussing 'Bad machines corrput good morals'
1:01:00: Start discussing Nils's papers on whether people can detect AI-generated poems and videos
1:25:59: Learning to say no and to not get sidetracked
1:31:05: Writing a PhD thesis
Podcast links

Nils's links

Ben's links

References & links
Moral Games (in German): https://geni.us/moral-games
Nils's podcast KickBack: https://www.icrnetwork.org/what-we-do/kickback-global-anticorruption-podcast/
Replika AI app: https://replika.com/
Science fiction science: https://www.mpib-berlin.mpg.de/chm/guiding-concepts/concept-2-science-fiction-science
Collingridge dilemma: https://en.wikipedia.org/wiki/Collingridge_dilemma
GPT-3: https://openai.com/api/
Fotos of people who don't exist: https://thispersondoesnotexist.com/
Abdalla & Abdalla 2021. The Grey Hoodie Project: Big tobacco, big tech, .... Proc of 2021 AAAI/ACM Conf.
Crandall ... 2018. Cooperating with machines. Nat Comm.
Goffman 1959. The Presentation of Self in Everyday Life
Harari 2016. Homo Deus: A brief history of tomorrow.
Hawking 2018. Brief answers to the big questions.
Kehlmann 2021: Mein Algorithmus und ich.
Köbis ... 2021. Bad machines corrupt good morals. Nat Hum Behav.
Köbis ... 2021. Fooled twice: People cannot detect deepfakes but think they can. Iscience.
Köbis & Mossink, 2021. Artificial intelligence versus Maya Angelou... . Comp in hum behav.
Köbis ... 2022. The promise and perils of using artificial intelligence to fight corruption. Nat Mach Intell.
Leib ... 2021. The corruptive force of AI-generated advice. arXiv.
Leib ... 2021. Collaborative dishonesty: A meta-analytic review. Psych Bull.
Mnih ... 2015. Human-level control through deep reinforcement learning. Nature.
Rahwan ... 2019. Machine behaviour. Nature.
Silver ... 2016. Mastering the game of Go with deep neural networks and tree search. Nature.
Tegmark 2017. Life 3.0: Being human in the age of artificial intelligence.

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Gordon Pennycook is an Associate Professor at Cornell University. We talk about his upbringing in rural Northern Canada, how he got into academia, and his work on misinformation: why people share it and what can be done about it.
BJKS Podcast is a podcast about neuroscience, psychology, and anything vaguely related, hosted by Benjamin James Kuper-Smith.
Support the show: https://geni.us/bjks-patreon
Timestamps

0:00:00: Straight outta Carrot River: From Northern Canada to publishing in Nature

0:37:01: Exploration vs focusing on one topic: finding your research topic

0:48:57: A sense of having made it

0:54:17: Why apply reasoning research to religion?

0:59:45: Starting working on misinformation

1:08:20: Defining misinformation, disinformation, and fake news

1:15:52: Social media, the consumption of news, and Bayesian updating

1:24:48: Reasons for why people share misinformation

1:35:57: Are social media companies listening to Pennycook et al?

1:38:19: Using AI to change conspiracy beliefs

1:44:59: A book or paper more people should read

1:46:33: Something Gordon wishes he'd learnt sooner

1:48:12: Advice for PhD students/postdocs
Podcast links

Gordon's links

Ben's links

References

Costello, Pennycook & Rand (2024). Durably reducing conspiracy beliefs through dialogues with AI. Science.

Dawkins (2006). The God Delusion.

MacLeod, ... & Ozubko (2010). The production effect: delineation of a phenomenon. Journal of Experimental Psychology: Learning, Memory, and Cognition.

Nowak & Highfield (2012). Supercooperators: Altruism, evolution, and why we need each other to succeed.

Pennycook, ... & Fugelsang (2012). Analytic cognitive style predicts religious and paranormal belief. Cognition.

Pennycook, Fugelsang & Koehler (2015). What makes us think? A three-stage dual-process model of analytic engagement. Cognitive Psychology.

Pennycook, Cheyne, Barr, Koehler & Fugelsang (2015). On the reception and detection of pseudo-profound bullshit. Judgment and Decision making.

Pennycook & Rand (2019). Lazy, not biased: Susceptibility to partisan fake news is better explained by lack of reasoning than by motivated reasoning. Cognition.

Pennycook & Rand (2021). The psychology of fake news. Trends in cognitive sciences.

Rand (2016). Cooperation, fast and slow: Meta-analytic evidence for a theory of social heuristics and self-interested deliberation. Psychological Science.

Stanovich (2005). The robot's rebellion: Finding meaning in the age of Darwin.

Tappin, Pennycook & Rand (2020). Thinking clearly about causal inferences of politically motivated reasoning: Why paradigmatic study designs often undermine causal inference. Current Opinion in Behavioral Sciences.

Thompson, Turner & Pennycook (2011). Intuition, reason, and metacognition. Cognitive Psychology.

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FAQ

How many episodes does BJKS Podcast have?

BJKS Podcast currently has 114 episodes available.

What topics does BJKS Podcast cover?

The podcast is about Life Sciences, Podcasts, Social Sciences and Science.

What is the most popular episode on BJKS Podcast?

The episode title '63. Adeyemi Adetula: ManyLabs Africa, psychology should generalise from Africa, and multicultural collaborations' is the most popular.

What is the average episode length on BJKS Podcast?

The average episode length on BJKS Podcast is 82 minutes.

How often are episodes of BJKS Podcast released?

Episodes of BJKS Podcast are typically released every 7 days, 8 hours.

When was the first episode of BJKS Podcast?

The first episode of BJKS Podcast was released on Oct 2, 2020.

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