Took a mini #socialmedia break and on my return, my first impulse was to snarkily tweet "The plural of anecdote is not data." But that's probably not clear. Here's what I mean.
2/ I think humans are hardwired to learn from the experiences of others, and stories that engage the emotions are particularly effective. We have entire industries built around creating these stories to manipulate beliefs and actions, after all.
3/ Those stories can even be completely made up and still have powerful impacts. Think about...the tortoise and the hare. Fictional event to make a point Or George Washington and the cherry tree. Myth ABOUT A REAL PERSON used to make a point.
4/ To reasonably believe something is true, you have to observe many instances of it and be pretty particular about the circumstances. Let's go back to cherry trees. Does the tree in grandma's backyard have sour cherries or ripe ones?
5/ If I go pull off one cherry and taste it and describe it as sweet, does that mean it truly is? My description is an anecdote. I can gussy it up with smiles and "best I ever tasted" to make the anecdote more persuasive. But it was still just one.
6/ That might make it worth testing another sample cherry, but if I pick the whole tree based on that one story, I might be really disappointed when none of the others are ripe. You have to observe enough instances to make sure, no matter how good the story was.
7/ Let's I walked over to the tree sucking on a lemon wedge and then picked and ate my cherry. My calibration for sweet and sour could be all wonky, and maybe my cherry tasted sweeter than it would have if I were eating a cupcake first.
8/ That's being particular about the circumstances - trying to do the observations in a way that what you observe isn't biased in some way. That also matters.
9/ If all 5 cousins, lemon wedge suckers, the lot of them, go out and try one cherry each on a tree that has hundreds and tell good stories about how cherries are sweeter than lemons, is that data? Or is it a collection of stories?
10/ I'm seeing a lot of confusion of anecdote with data related to decisions around the #COVID vaccine and how people might be persuaded for or against it. Anecdotes in favor might be
"I felt fine."
"My kid slept a lot the next day, but then was fine."
11/ Anecdotes against might be something like
"My friend felt awful for days and missed work"
"Person on Instagram video appeared to have a metal object stick to them"
12/ (Pause to say I KNOW one of those statements has basic biology and physics issues and that my whole family got vaccinated as soon as we could and were glad to. But I don't find mockery helpful in changing people's minds"
13/ In an era of some truly frightening disinformation, the parts that are just lies are being wrapped in compelling stories - anecdotes - to help them spread. But I've seen that tortoise and the hare a bunch, too, and that doesn't make it true.
15/ When it comes to vaccine safety, data exists and IS used to make decisions, but that information can be hard to understand without training most people don't have.
16/ Rather than throwing additional anecdotes, it can be helpful to have a trusted expert like someone's own doctor explain.
"Why don't you ask your doctor?"
"Do you want to talk through what worries you, and I'll help you make a list of questions?"
Twitter pro-tip: Pre-coffee punctuation attempts can be disappointing.
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Good morning. The Senate trial begins today, and you'll have a lot of opportunities for #DetectingDeception. You've been warming up for months, but here are a few last-minute tips.
2/ You won't find the deceptions as much in things people say in the trial as you will in things people say about the trial in news and on social media. There are consequences for being deceptive in legal proceedings, but there may not be for doing it elsewhere.
3/ The incentives are actually pretty high to try to shape the shape the story outside of the trial. As I understand it, impeachment is a political process, which means the outcome may be a mix of what's right and what's helpful politically for some.
Off to teach today - a few hours in a de-densified classroom with masked students. Based on news reports, planning on double mask on me, but spent some time looking for official guidance from a health department and 🦗. This seems troublesome. #PartyLikeAProfessor
2/ I mean, look at this. One Google search for double masks for #COVID19 yields all this conflicting advice.
#WednesdayWisdom There has been a lot of calling media outlets #FakeNews over the last several years, and I thought this chart was interesting (Expand to see recent trends). #DetectingDeception
2/ It's been pretty evident that calling things #FakeNews was a way to avoid stories that the name-caller just didn't like. That's deceptive of course. Two ways you might notice this.
3/ First, is the #FakeNews accusation only used when it is bad things about the accuser? Second, does the accuser proudly cite the very same source when the story is complimentary?
This is an interesting summation from interviews with journalists covering taxi online cultures. Several interesting ideas including "to assess newsworthiness, one must also assess what weapons the story would hand to its audiences." datasociety.net/wp-content/upl…
2/ "Further, the choice
to engage with a false story – even in the effort to refute it – aligns with the interests of the manipulators, who see any form of amplification as a victory."
3/ Person-attacks... stories are popular and get clicks. "...stories should keep the story specific to the communities affected, focus on the impact of an attack, minimize sensationalist language and headlines, and reduce antihero framings of the perpetrator"
Today in #DetectingDeception is ... this. It's a good example of why reading past the tweet or headline is important, and also a good example of deceptive distraction.
2/ There's a full story, which you can read here. He basically went on, beyond the headline, to say that there are a variety of causes that could be examined. huffpost.com/entry/kevin-mc…
3/ That's probably true, but also beside the point. I think about it this way: I commute to work on an interstate. Very few people drive the speed limit of 65. I'd guess an average 75, with some folks going 90 or more. If everyone is too fast, is it wrong to pull anyone?
Today in #DetectingDeception is the false comparison. I've seen this graphic a few places on social media and I don't know if it's authentic, but for this discussion, that doesn't really matter. Here's why something like this would have issues.
2/ When you look at information, there are a few relevant questions you might ask:
Is it true?
Is it in context?
Is it relevant?
3/ I started by looking at the source. There IS a Major Cities Chiefs Association, and they did produce a report on last summer's protests you can find on their website. majorcitieschiefs.com