Here's an interesting example of how many of our lessons you can pack into one story.

We start with a forward reference headline. (Answer: Yellow).

Then a completely meaningless subhead, unless by perfect combination they mean minimal supply, maximal demand. (They don't).
To be fair, the FOX story manages not to claim that color has a causal effect on resale value, though the implication seems to be there.

The study itself, run by an online car sales site, fails this test badly, using causal language throughout.

iseecars.com/car-color-study
The problem is, this study is hopelessly confounded. It doesn't control for make and model, options, sticker price, etc.
To illustrate, we might expect more expensive cars to depreciate faster. If color correlates with sticker price, we'll see what appear to be color effects on depreciation. For SUVs, this is exactly what we see. Yellow SUVs have the lowest sticker prices, and depreciate the least.
But this isn't the whole story. In general we see the same strong pattern for other types of vehicles — but for e.g. sedans yellow *is* an odd outlier with surprisingly low deprecation. Indeed there could be a causal element here.
But the key points are 1) the analysis doesn't attempt to deal with confounding, despite the fact that the original dataset would have a lot of what you'd need, and 2) the story focuses on the net values instead of the residual against prediction given sticker prices.

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More from @callin_bull

2 May
In our course, we spend a couple of lectures talking about how tell whether scientific research is legit.

callingbullshit.org/tools/tools_le…
Appearing in a journal from a reputable scientific publisher is a good start. But it's no guarantee.

@lastpositivist pointed us a paper from a journal produced by the largest scientific publisher, Elsevier.

sciencedirect.com/science/articl…
The study looks for the genetic basis of psychic ability.

Yes, you read that right.

To do that, I suppose you have to start with psychics. And they did.

"Candidate cases were vetted for their psychic claims." Image
Read 26 tweets
19 Mar
Nobel Laureate Michael Levitt is worried about declining sperm counts, but he says he hasn't done any reading yet.

Should he panic? Let's dig a little deeper.

He links to an article by Erin Brockovich. (Yes, *that* Erin Brockovich!)

Here's the money quote.
In our class, one of the fundamental rules for spotting bullshit is this:

"If something seems too good or too bad to be true, it probably is."

Zero sperm counts in 2045 sounds pretty bad.

When you see something like that, it's time to dig deeper and track back to the source.
Read 14 tweets
3 Mar
My colleague, epidemiologist @joel_c_miller, has done a great job of debunking mis- and disinformation throughout the pandemic. In this great thread, he takes on the claim that COVID is basically harmless, and any excess deaths are due to fear and stress from social precautions.
Instead of calling the person an idiot, he does nice job of explaining how you might test such a hypothesis — and then looks to the data to show that this story about fear and stress is entirely unsupported. The whole thing is well worth a read.
But there's something else interesting here.

The fear-and-stress argument is introduced with an historical account about a medieval experiment conducted by medieval Persian philosopher Avicenna / Ibn Sīnā.

The story is *total bullshit.*

Avicenna did no such experiment.
Read 15 tweets
18 Feb
I love seeing journalists do a textbook job of calling bullshit on the misleading use of quantitative data.

Here's a great example. @RonDeSantisFL claimed that despite having schools open, Florida is 34th / 50 states in pediatric covid cases per capita.
nbcmiami.com/news/local/des…
I don't know for certain what set off their bullshit detector, but one rule we stress in our class is that if something seems too good or too bad to be true, it probably is.

DeSantis's claim is a candidate.

Below, a quote from our book. Image
The very next paragraph of the book suggests what to do when this happens: trace back to the source. This is a key lesson in our course as well, and at the heart of the "think more, share less" mantra that we stress. Don't share the implausible online until you've checked it out. Image
Read 9 tweets
5 Dec 20
In science, people tend to be most interested in positive results — a manipulation changes what you are measuring, two groups differ in meaningful ways, a drug treatment works, that sort of thing.
Journals preferentially publish positive results that are statistically significant — they would be unlikely to have arisen by chance if there wasn't something going on.

Negative results, meanwhile, are uncommon.
Knowing that journals are unlikely to publish negative results, scientists don't bother to write them up and submit them. Instead they up buried file drawers—or these days, file systems.

This is known as the file drawer effect.

(Here p<0.05 indicates statistical significance.)
Read 23 tweets
3 Dec 20
Jevin West was away today so in lecture I was able to sneak in one my favorite topics, observation selection effects.

Let's start a little puzzle.

In Portugal, 60% of families with kids have only one child. But 60% of kids have a sibling.

How can this be?
People are all over this one! And some are out ahead of me (looking at you, @TimScharks). We'll get there, I promise!

There are fewer big families, but the ones there are account for lots of kids.

If you sampled 20 families in Portugal, you'd see something like this.
@TimScharks Now let's think about class sizes.

Universities boast about their small class sizes, and class sizes play heavily into the all-important US News and World Report college rankings.

For example, @UW has an average class size of 28.

Pretty impressive for a huge state flagship.
Read 15 tweets

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