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.
The source cited for this spermatazoic doomsday is another Guardian article.

theguardian.com/us-news/2021/f…

That article in turn punts to an article in Axios.
The Axios piece quotes the author of a new book on—you guessed it, declining sperm counts—thusly.

axios.com/falling-sperm-…
"Which is always risky"

To say the least.

Now I don't have a copy of the book. But I can backtrack a little bit. The second Guardian story also links to a large meta-analysis that the author published in 2017.

academic.oup.com/humupd/article…
At this point my ability to reconstruct the 2045 date gets a bit shaky. We have these two figures, which even extrapolating linearly aren't going to get you to zero this century.
Ah, but this looks promising.

Here's the "meta-regression model for mean sperm concentration by fertility and geographic groups, adjusted for potential confounders."
Now we just have to extend the axes a little bit, extend the trend line....and BINGO!

We hit Sperm Zero in 2045.
When you see something like this, it's worth asking yourself: what's going to happen 2046?
So....we found something that seemed to bad to be true, traced it back to the source, and indeed, it's far too bad to be true—or at least to be backed by any credible evidence whatsoever.
We've got a linear regression line from some sort of meta-analysis, extrapolated out as far again as the underlying data are drawn from.

No underlying mechanistic model.

And a ridiculous conclusion of negative sperm in 2046.
Which would be a heartbreaker, because we'd never survive as a species long enough to run negative 100m dash times.

callingbullshit.org/case_studies/c…
So I think you can rest easy for the time being, @MLevitt_NP2013, and fear not any conspiracy to sap and impurify all of our precious bodily fluids.

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More from @callin_bull

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
20 Sep 20
One of our key pieces of advice is to be careful of confirmation bias.

There's a thread going around about how the crop below is what happens when Twitter's use of eye-tracking technology to crop images is fed with data from a misogynistic society. I almost retweeted it. But…
…that story fits my pre-existing commitments about how machine learning picks up on the worst of societal biases. So I thought it was worth checking out.

Turns out, it's not Twitter at all.

Here's the @techreview tweet itself:
The picture is provides as a "twittercard", and is provided by the publisher, @techreview, as part of the header in the html file for the article.
Read 8 tweets
26 Jul 20
A couple of months ago, an almost unfathomably bad paper was published in the Journal of Public Health: From Theory to Practice.

It purports to prove—mathematically—that homeopathy will provide and effective treatment for COVID-19.

link.springer.com/article/10.100…
While it would be fish in a barrel to drag this paper as a contribution to the pseudoscience of homeopathy, we'll largely pass on that here. More interestingly, this single paper illustrates quite a few of the points that we make in our forthcoming book.
The first of them pertains to the role of peer review as guarantor of scientific accuracy.

In short, it's no guarantee, as we discuss here: callingbullshit.org/tools/tools_le…

This paper shows that all sorts of stuff makes it through peer review.
Read 50 tweets

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