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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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
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.
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).