The Bat And Ball Problem 20 Years Later

In 2002, a chapter from Kahneman and Frederick mentioned “the bat and ball problem”.

A bat and a ball cost $1.10 in total.
The bat costs $1.00 more than the ball.
How much does the ball cost?

By 2005, Frederick’s Cognitive Reflection Test paper added the lesser known Widgets and Lily Pad problems. In the intervening 20-ish years, each paper seems to have accrued over 5000 citations.

In 2023, Meyer and Frederick published a massive follow-up paper about the first problem: 59 studies, over 73,000 participants, and more pages of Appendixes than pages in the main article. As someone studying various reflection tests and interventions, I had to take a look right away. In this post, I list five initial takeaways and two things to like about the paper.

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Here’s to the Philosopher-Scientists!

Sometimes philosophers complain that scientists do philosophy badly and that philosophers may thereby be underrated. The idea is that people could have better philosophy if they just turned to academic philosophers rather than the popular scientists that have done philosophy badly. (Perhaps analogous complaints about philosophers circulate among scientists). In this post, I want to turn our attention to scientists that do philosophy well and philosophers that do science well.

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Upon Reflection, Ep. 10: Great Minds Do Not Think Alike

This time I read my 2022 paper in Review of Philosophy and Psychology titled, “Great Minds Do Not Think Alike: Philosophers’ Views Predicted by Reflection, Education, Personality, and Other Demographic Differences“. As the title suggests, various psychological factors predicted variance in philosophers’ answers to classic philosophical questions. This raises questions about how psychological and demographic differences can explain philosophical differences. There are also implications for scientific psychologists as well as academic philosophers.

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Upon Reflection, Ep. 6: Your Health vs. My Liberty (COVID-19 Research Paper)

Welcome to the latest episode of Upon Reflection. This time, I read my paper with Michał Białek, “Your health vs. my liberty: Philosophical beliefs dominated reflection and identifiable victim effects when predicting public health recommendation compliance during the COVID-19 pandemic” (Total N = 998).

As the title suggests we found that complying with public health recommendations didn’t depend on whether people received messaging about identifiable COVID-19 victims or statistical victims in flatten the curve graphs. Rather compliance increased the more that people endorsed an effective altruist principle about reducing harm and the more that they endorsed the truth of scientific theories, but compliance decreased as people valued liberty more than equality. Importantly, we also found that people were less likely to prevent the spread of disease by wearing masks and staying at home if the pandemic was equally deadly, but labeled as a “flu” pandemic—-mostly because they perceived this as less threatening to society. We think this suggests that people’s life-threatening decisions to flout public health recommendations like mask-wearing and staying at home during the COVID-19 pandemic was not just about ineffective messaging, but also about their prior philosophical commitments.

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Upon Reflection, Ep. 3: Causal Network Accounts of Ill-being: Depression & Digital Well-being

Welcome to the third episode of Upon Reflection, a podcast about what we think as well as how and why we think it.

In this podcast, I read my chapter, “Causal Network Accounts of Ill-being: Depression & Digital Well-being” from Ethics of Digital Well-being: A Multidisciplinary Approach. In this chapter, I review how well-being and ill-being can be understood in terms of the causal networks studied by economists, neuroscientists, psychologists, and other scientists. As with all of my writing, the free preprint can be found on my CV at byrdnick.com/cv under “Publications“.

If you want to hear more, you can subscribe wherever you find podcasts. You can also find out more about me and my research on Twitter via @byrd_nick, or on Facebook via @byrdnick. If you end up enjoying the Upon Reflection podcast, then feel free to tell people about it, online, in person, or in your ⭐️⭐️⭐️⭐️⭐️ review.

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Evaluate An Argument With Just ONE Flowchart

I love philosophy and science. I also love flowcharts because they can compress many pages of instruction into a simple chart. And three researchers from George Mason University and the University of Queensland have combined these three loves in a paper about climate change denialism. In their paper, they create a flowchart that shows how to find over a dozen fallacies in over 40 denialist claims! In this post, I’ll explain this argument-checking flowchart. First, we will identify a common denialist claim and then evaluate the argument for it. Continue reading Evaluate An Argument With Just ONE Flowchart

3 Obstacles For Research About Cheating & Morality


What if traveling abroad were somehow bad for you? Well, a series of studies seem to find that “[traveling abroad] can lead to [lying and cheating] by increasing moral relativism” (Lu et al 2017, 1, 3). This finding has just the right combination of intuitive plausibility and surprise for us to want to share it uncritically. So, instead, let’s take a look at the methods, measures, and philosophical nuances of the topic. As usual, a bit of reflection makes the finding a bit less exciting and it reveals a need for follow-up research.

Continue reading 3 Obstacles For Research About Cheating & Morality

Experimental Philosophy 2.0: The Neuroscience of Philosophy


If our judgments are dependent on the brain, then maybe we can understand our judgments by studying our brains. Further, maybe we can understand our philosophical judgments by studying our brains. What do you think? Can neuroscience help us understand philosophy? Here are some studies which suggest that it can.

1.  Two Opposing Neural Networks/Judgments

Consider two different networks in the brain: the Default Mode Network (DMN) and the Task Positive Network (TPN). These networks are mutually inhibitory. When one network’s activity increases, the other network’s activity decreases. It’s a bit like a seesaw (Jack et al 2013).

Continue reading Experimental Philosophy 2.0: The Neuroscience of Philosophy