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#datascience

70 posts61 participants5 posts today

Adam Gordon Bell, on his Corecusive podcast, re-does the data analysis for the infamous ClimgateGate controversy: the episode title, "briffa_sep98_e.pro", is taken from the obscure data format / processing language used to transform the messy, incomplete, contradictory, and disparate climate data sources into the final output.

His episode is in the very best tradition of explanatory and investigative journalism, and I highly, highly recommend it if you care about #datascience, #climate, data analysis, and the like:

corecursive.com/briffa-sep98-e

CoRecursive Podcastbriffa_sep98_e.pro - CoRecursive PodcastCan a single line of code change the way we see science, policy, and trust?In this episode we explore the

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Continued thread
We in the US are living in a eugenic modernity, by the way, when the putative head of "Health and Human Services" is making the kinds of statements he makes about autistic people. This is not just an anti-vaccination meme; it's an attempt to subordinate an entire class of people, suggesting they are subhuman for being who they are. This is a eugenic move. One has to wonder whether the "human services" people in HHS imagine themselves providing has to do with "improving the human stock" of the nation, the services not being provided to humans but instead having humans as an output.

Rather than get mired in the thought-terminating arguments around political parties or political factions, though, I think we'd do well to reflect on what sorts of other ways of thinking feed into this one: the measured life; standardized testing; the internet of things (sensors); tracking apps of various kinds; electronic health records; data science as a profession and Big Data generally; predictive modeling; generative AI and other optimization-oriented or productivity-promising technology. All of these function to render life as an object of knowledge in one way or another. All of them trace their origins through eugenics and the patterns of thought that led to it, and all of them threaten to enable and enhance further eugenic thinking. This is not to say these things are always all bad; this is meant to be a reflection on what exactly they're for.

Why read the number of steps your FitBit told you you took today, unless there were some sense in which you want your future self to be better than your present self? It's not an accident that this is called "physical fitness", "fitness" being the Darwinian concept describing which organisms should survive. Why subject children to standardized testing unless there were some belief it made them better students? To what end tends to be left out. Why adopt a technology meant to improve productivity, unless you're of the belief that improvement (optimization) were even possible?

Generally speaking, if one is able to bring oneself to believe that a human being is made better by a data-informed technical intervention, isn't one playing the same game as these anti-autism anti-vaxxers, just with different terminology? If your answer to this provocation is that your data is better than theirs or that you're more aligned with reality than they are--some variation of "the science is on our side"--you've ceded the territory: this is more of the same optimization logic that brought us to this point to begin with. I think we have no choice but to do better than this.

That's my reflection anyway.

#USPol #autism #vaccination #vaccines #antivax #eugenics #BigData #AI #PredictiveModeling #DataScience #science

Recent @DSLC club meetings:

:python: An Introduction to Statistical Learning with Applications in Python: Classification youtu.be/UpNBjSLhlDE #PyData #DeepLearning #AI

:rstats: Analyzing Baseball Data with R (3e): The Baseball Datasets youtu.be/-WrmJ7ZgKtc #RStats #SportsAnalytics

From the @DSLC :rstats:​chives:

:rstats: "Introduction to Probability: Introduction" youtu.be/QoMwTfmHaYE #RStats

Visit dslc.video for hours of new #DataScience videos every week!

youtu.be- YouTubeEnjoy the videos and music you love, upload original content, and share it all with friends, family, and the world on YouTube.

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Continued thread

Day 19 cont 🙏⛪🕍🕌⛩️🛕 💽🧑‍💻

“The #LiberalParty has accidentally left part of its email provider’s #subscriber details exposed, revealing the types of #data harvested by the party during the #election campaign.

This gives rare #insight into some of the specific kinds of data the party is keeping on voters, including whether they are “predicted Chinese”, “predicted Jewish”, a “strong Liberal” and other #PersonalInformation.”

#AusPol / #DataScience / #inference / #voters / #Liberal / #LNP / #Nationals <crikey.com.au/2025/04/17/victo>

Crikey · ‘Predicted Chinese’, ‘predicted Jewish’: Liberals accidentally leave voter-tracking data exposedBy Cam Wilson