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2020 Meeting
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126 registered: Our biggest meeting!
Teaching a 'Calling Bullshit' Course
One of the most important skills that students can learn is the ability to spot and refute rot, especially the kind wrapped in data, statistics and fancy algorithms. Over the last several years, we have been teaching students from STEM and non-STEM backgrounds to question numbers in the same way they question clickbait news and propaganda. Our philosophy is to focus less on the black box algorithm or procedure and instead focus on the data entering and exiting the black box. That puts an emphasis on topics such as selection bias, correlation and causation.
In this talk, we will present what we have learned over the past several years teaching 'Calling Bullshit'. Our hope is to make this content accessible to instructors wanting to integrate this kind of data reasoning approach into their own classroom. We will provide example modules from our class, discuss testing and evaluation, and reflect on the challenges of taking this course online during the pandemic.