What do the Washington Post, Brookings, The Atlantic, and Business Insider have in common?
They all employ credulous writers who don't read about the things they write about.
The issue? Attacks on laptop-based notetaking🧵
Each of these outlets (among many others, unfortunately) reported on a a 2014 study by Mueller and Oppenheimer, in which it was reported that laptop-based note-taking was inferior to longhand note-taking for remembering content.
The evidence for this should not have been considered convincing.
In the first study, a sample of 67 students was randomized to watch and take notes on different TED talks and then they were assessed on factual or open-ended questions. The result? Worse open-ended performance:
The laptop-based note-takers didn't do worse when it came to factual content, but they did so worse when it came to the open-ended questions.
The degree to which they did worse should have been the first red flag: d = 0.34, p = 0.046.
The other red flag should have been that there was no significant interaction between the mean difference and the factual and conceptual condition (p ≈ 0.25). Strangely, that went unnoted, but I will return to it.
The authors sought to explain why there wasn't a difference in factual knowledge about the TED talks while there was one in ability to describe stuff about it/to provide open-ended, more subjective answers.
Simple: Laptops encouraged verbatim, not creative note-taking.
Before going on to study 2: Do note that all of these bars lack 95% CIs. They show standard errors, so approximately double them in your head if you're trying to figure out which differences are significant.
OK, so the second study added an intervention.
The intervention asked people using laptops to try to not take notes verbatim. This intervention totally failed with a stunningly high p-value as a result:
In terms of performance, there was once again nothing to see for factual recall. But, the authors decided to interpret a significant difference between the laptop-nonintervention participants and longhand participants in the open-ended questions as being meaningful.
But it wasn't, and the authors should have known it! Throughout this paper, they repeatedly bring up interaction tests, and they know that the interaction by the intervention did nothing, so they shouldn't have taken it. They should have affirmed no significant difference!
The fact that the authors knew to test for interactions and didn't was put on brilliant display in study 3, where they did a different intervention in which people were asked to study or not study their notes before testing at a follow-up.
Visual results:
This section is like someone took a shotgun to the paper and the buckshot was p-values in the dubious, marginal range, like a main effect with a p-value of 0.047, a study interaction of p = 0.021, and so on
It's just a mess and there's no way this should be believed. Too hacked!
And yet, this got plenty of reporting.
So the idea is out there, it's widely reported on. Lots of people start saying you should take notes by hand, not with a laptop.
But the replications start rolling in and it turns out something is wrong.
In a replication of Mueller and Oppenheimer's first study with a sample that was about twice as large, Urry et al. failed to replicate the key performance-related results.
Verbatim note copying and longer notes with laptops? Both confirmed. The rest? No.
So then Urry et al. did a meta-analysis. This was very interesting, because apparently they found that Mueller and Oppenheimer had used incorrect CIs and their results were actually nonsignificant for both types of performance.
Oh and the rest of the lit was too:
Meta-analytically, using a laptop definitely led to higher word counts in notes and more verbatim note-taking, but the performance results just weren't there.
The closest thing we get in the meta-analysis to performance going up is that maybe conceptual performance went up a tiny bit (nonsignificant, to be clear), but who even knows if that assessment's fair
That's important, since essays and open-ended questions are frequently biased
So, ditch the laptop to take notes by hand?
I wouldn't say to do that just yet.
But definitely ditch the journalists who don't tell you how dubious the studies they're reporting on actually are.
- His license is suspended
- He was once a soldier for a Mafia family
- He's telling me about his time in Rikers
- He's showing me YouTube videos
- He's telling me his theories about Jews
He's telling me about gang wars he was in ad a kid.
He's wondering why all the Chinese girls are lined up - for an audition?
He says to go to Mother's Ruin for latin prostitutes.
All of this entirely unprompted.
"Yeah, these African guys, yeesh"
"I couldn't fuck that whore because I got the erectile dysfunction."
As a recap on my appearance, Eli Lilly is pursuing:
- A one-dose drug for preventing most heart disease
- A vaccine for chlamydia
- A vaccine for gonorrhea
- A vaccine for Epstein-Barr
- A drug that lets you stay awake longer and feel more rested
And remember, Eli Lilly's big break historically was the University of Toronto licensing them to produce insulin.
They started off by giving it out for free, saving the world's diabetics at a time when there was no treatment available.
They've always been a force for good.
I think
- The heart disease drug will succeed
-- Will it commercialize? It can, easily. But I'm 50/50 due to the competition
- Chlamydia and gonorrhea vax will succeed, but I don't see much commercial potential with Lilly
- EBV vaccine will fail with Lilly, succeed eventually
Are White women the primary beneficiaries of affirmative action?
That's a real claim that's commonly advanced by journalists, and the claim has gone so far that it's even made its way into academic publications and policy.
But the claim is completely false🧵
This claim doesn't make a lot of sense. After all, shouldn't the primary beneficiaries of affirmative action be the people who the policies primarily target?
In America, that's African Americans and, among them, women get an added benefit. How could it be Whites?
To figure out where the claim comes from, I started reading supposed sources.
Often enough, journalists will just take the claim for granted without providing *any* source.
It's just tacit knowledge now, and that's not good!
World War I devastated Britain and likely slowed down its technological progress🧵
The reason being, the youth are the engine of innovation.
Areas that saw more deaths saw larger declines in patenting in the years following the war.
To figure out the innovation effects of losing a large portion of a generation's young men who were just coming into the primes of their lives, the authors needed four pieces of data.
The first were the numbers and pre-war locations of soldiers who died.
The next components were the numbers and locations of patent filings.
If you look at both graphs, you see obvious total population effects. So, areas must be normalized.