@ByrdNick@nerdculture.de
@ByrdNick@nerdculture.de avatar

ByrdNick

@ByrdNick@nerdculture.de

Asst Prof of Philosophy, Affiliate Faculty for Quantitative Social Science & Institute for AI at Stevens Institute of Technology (in the #NYC metro area).

Using science and technology to understand (and improve) decisions and well-being.

I use this site mostly for work (#CogSci, #Philosophy, #Rationality, #Teaching, #SciComm, and #rStats). I may ignore, unfollow, or even block other stuff.

Profile picture: not Neil Patrick Harris, but I'm told almost daily that I look like him.

This profile is from a federated server and may be incomplete. Browse more on the original instance.

ByrdNick, to internet
@ByrdNick@nerdculture.de avatar

😳 “most misinformation ...exists within [a] homogeneously conservative corner [of Facebook], which has no equivalent on the liberal side.”

🤔 My daily posts for the rest of this week suggest that social media algorithms have little impact on polarization, news discernment, trust in news, and similar outcomes. So this result may tell us more about how we use social media than how social media impacts us.

https://doi.org/10.1126/science.ade7138

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ByrdNick, to Logic
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Can the civic and rational benefits of discussion and argument mapping be combined?

Platforms like BCause and Kialo attempt to find out.

Here's a recent conference paper about the former: https://aclanthology.org/2023.sicon-1.5

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ByrdNick, to Medicine
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How can we help people recall alternative views?

Teaching medical students a pro-con—missing-and-rank reflection protocol and then having them teach it to an imaginary stranger (on video) helped students better remember alternative diagnoses (besides their initial diagnosis).

Bonus: just telling people that a task was difficult also helped among participants who didn’t learn and teach the reflection exercise.

https://doi.org/10.1080/0142159X.2023.2229504

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ByrdNick, to random
@ByrdNick@nerdculture.de avatar

🤔 "causal information at decision time can lead to less accurate choices in domains that relate to existing knowledge".

Possible explanations: (a) fluency effect or (b) expertise reversal effect.

https://doi.org/10.1186/s41235-020-0206-z

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ByrdNick,
@ByrdNick@nerdculture.de avatar

@ttpphd 👍

ByrdNick, to philosophy
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Catarina Dutiful Novaes' 2023 Aristotelean Society paper asks whether John Stuart Mill is right that arguments change minds for the better.

Novaes proposes a “three-tiered model” of conditions that partially determine whether this happens.

So Mill is partially vindicated by the model: “engaging with dissenters may allow for the correction of errors” under certain necessary (but not sufficient) conditions.

https://doi.org/10.1093/arisoc/aoad006

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ByrdNick, to science
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Today I found Deena Weisberg's (and David Sobel's) about how kids can develop scientific thinking! A (concernig) take-away: not all pedagogy is equal.

Traditional may prevent kids from becoming as reflective as "inquiry-based" approaches.

https://doi.org/10.7551/mitpress/11939.001.0001

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ByrdNick, to random
@ByrdNick@nerdculture.de avatar

I can no longer see Lower Manhattan from Hoboken due to .

To learn more: time.com/6285326/wildfire-smoke-air-quality-health-impacts/

ByrdNick, to workersrights
@ByrdNick@nerdculture.de avatar

How soon do you expect replies to ?

When I ask colleagues, answers range from hours to days. This ambiguity may be a source of stress. So I've prepended a disclaimer to my email line: "No pressure to read or reply outside your normal working hours, of course."

Generally, I rarely need a response within a week. In rare cases in which my email is motivated by an immanent , I try to disclose that to my recipient.

What do you do?

ByrdNick,
@ByrdNick@nerdculture.de avatar

Another realization:

People often respond to emails that did not require a response.

To save them the time it takes to respond, I've started ending these emails with "(No need to reply.)"

I wonder, however, if there is a friendlier way to say this. Suggestions welcome!

ByrdNick, to random
@ByrdNick@nerdculture.de avatar

Academic pet peeve number 74: Abstracts which mention what the author(s) discussed rather than the results of what the author(s) discussed.

Example: "Possible mechanisms are discussed" vs. "Possible mechanisms include [X and Y, but not Z]".

We'd never accept such uninformative summaries of the rest of the paper:

  • Introduction: "Prior research happened."
  • Methods: "New data was collected."
  • Findings: "Analysis of the new data is reported."

ByrdNick, to random
@ByrdNick@nerdculture.de avatar

Although correct reflection test answers predicted lower "endorsement" of a "planned disease" , not all of the interventions that involved reflecting on the theory's reduced people's endorsement of it.

People who were told that the conspiracy would not be detrimental even if it were true reported less agreement with it.

People who were shown the theory's logical fallacies did not!

https://doi.org/10.1080/20445911.2023.2198064

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ByrdNick, to random
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Giving people more time on base rate problems resulted in more base rate fallacies?

Base rate problems often lure you into stereoptypic rather than probabilistic thinking. Example:

"Of all 1000 participants: 3 had a tattoo and 997 did not."
"Jay is a 29-year-old male. He has served a short time in prison. He has been living on his own for 2 years now. He has an older car and listens to punk music."
"Is it more probably that Jay has a tattoo or that Jay did not?"

https://doi.org/10.1016/j.cognition.2023.105451

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ByrdNick, to random
@ByrdNick@nerdculture.de avatar

Even high school students can pay-to-publish in “peer-reviewed” student research journals to buy advantage in admissions to top U.S. colleges?

“The programs serve at least 12,000 students a year worldwide [charging] between $2,500 and $10,000 to improve their odds of getting into U.S. universities that accept as few as 1 in every 25 applicants. Some of the biggest services are located in China, and international students abound even in several U.S.-based programs.”

https://www.propublica.org/article/college-high-school-research-peer-review-publications

ByrdNick, to random
@ByrdNick@nerdculture.de avatar

Around 50% of PhDs got permanent academic jobs in 2012. Guess the percentage for 2021. (Scroll for answer.)
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20%

https://apda.ghost.io/2022-data-collection-results/

ByrdNick,
@ByrdNick@nerdculture.de avatar

Indeed. I wonder how these results were impacted by missing data, @philippsteinkrueger.

"Our coverage is ...better in the United States,.... In the United States we have around 90% of those graduates recorded by the National Science Foundation."

Because data seem to have been collected from departments (which want to report high placement in jobs, especially permanent academic jobs), I would expect that adding missing data would be more likely to decrease these percentages than increase them.

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