1.1 Introduction to Bullshit.
Bullshit is everywhere, and we've had enough. We want to teach people to detect and defuse bullshit where ever it may arise.
1.2 Calling Bullshit on Ourselves.
Jevin uses data graphics to boast about explosive growth at our website callingbullshit.org — and Carl calls bullshit. Old-school bullshit versus new-school bullshit.
1.3 Brandolini's Bullshit Asymmetry Principle.
Lecture 1.3 "The amount of effort necessary to refute bullshit is an order of magnitude bigger than to produce it."
1.4 Classroom Discussion.
Students discuss: What is bullshit anyway?
1.5 The Philosophy of Bullshit.
How do we define bullshit? Does intention matter? Calling bullshit as a speech act.
2.1 Spotting Bullshit.
Jevin discusses some ways to spot bullshit and challenges students to tell whether four nuggets of wisdom from the internet are true or bullshit.
2.2 Sounds Too Good to be True.
If a claim seems too good — or too bad — to be true, it probably is. An example involving recommendation letters, and the perils of confirmation bias.
2.3 Entertain Multiple Hypotheses.
The importance of generating and considering multiple alternative hypotheses. As an example, we consider why men cite themselves more than women do.
2.5 Unfair Comparisons.
In this segment on unfair comparisons, Carl explains why St. Louis and Detroit are not quite as bad as clickbait "most dangerous cities" lists portray them to be, and looks at the silly arguments over attendance at Trump's inauguration. Also: how to call bullshit on algorithms and statistics without a PhD in machine learning or statistics.
2.6 Assignment: Bullshit Inventory.
In our first assignment, we ask students to take a week-long bullshit inventory of the bullshit they encounter, create, and debunk.