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#phacking — Public Fediverse posts

Live and recent posts from across the Fediverse tagged #phacking, aggregated by home.social.

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  1. “Promiscuous dichotomisation is yet another way of torturing the data to produce false confessions of which we must be eternally wary.” #statistics #P-hacking #stats

    RE: https://bsky.app/profile/did:plc:3zyo4iakhqs47bttjalqgbk7/post/3m5jwkr7swc2j

  2. #phacking #LLM performance:

    "The researchers found that big players like Meta, Google, OpenAI, and Amazon are given special privileges to privately test multiple versions of their models and only publish the best results. This hidden practice allows them to inflate their rankings by cherry picking data, making their models appear stronger than they actually are."

    arxiv.org/abs/2504.20879?utm_s

    via Sabine Hossenfelder's newsletter

  3. #phacking #LLM performance:

    "The researchers found that big players like Meta, Google, OpenAI, and Amazon are given special privileges to privately test multiple versions of their models and only publish the best results. This hidden practice allows them to inflate their rankings by cherry picking data, making their models appear stronger than they actually are."

    arxiv.org/abs/2504.20879?utm_s

    via Sabine Hossenfelder's newsletter

  4. Fun class class survey of other undergrads, current N=55. I'm doing #irresponsible #DataAnalysis bc not actual #research.

    Still #WTF?

    ghost_recv_log = How many times have you been ghosted? (log-transformed)

    mosi = Misperception of others' sexual interest

    bjw = Belief in a just world

    swls = Satisfaction with life

    csei = College self-efficacy

    High self-esteem assholery? IDK.

    OH WAIT. Gender!

    Shit. We didn't ask.

    #NotResearch #Datafishing #phacking but it's #OK I'm a #professional #oops

  5. Fun class class survey of other undergrads, current N=55. I'm doing #irresponsible #DataAnalysis bc not actual #research.

    Still #WTF?

    ghost_recv_log = How many times have you been ghosted? (log-transformed)

    mosi = Misperception of others' sexual interest

    bjw = Belief in a just world

    swls = Satisfaction with life

    csei = College self-efficacy

    High self-esteem assholery? IDK.

    OH WAIT. Gender!

    Shit. We didn't ask.

    #NotResearch #Datafishing #phacking but it's #OK I'm a #professional #oops

  6. Table 1 of the "False-positive psychology" paper (Simmons, Nelson & Simonsohn 2011, papers.ssrn.com/sol3/papers.cf) estimate the false-positive rate of some questionable #ResearchPractices, both alone and in combination (see attached figure).

    I remember reading somewhere that the authors later stated that the numbers were inaccurate and should have been somewhat higher. Does anyone have a reference for this? #FalsePositivePsychology #QRP #phacking #HARKing #ReproducibiliTea

  7. Table 1 of the "False-positive psychology" paper (Simmons, Nelson & Simonsohn 2011, papers.ssrn.com/sol3/papers.cf) estimate the false-positive rate of some questionable #ResearchPractices, both alone and in combination (see attached figure).

    I remember reading somewhere that the authors later stated that the numbers were inaccurate and should have been somewhat higher. Does anyone have a reference for this? #FalsePositivePsychology #QRP #phacking #HARKing #ReproducibiliTea

  8. [en] Cheating in Science: Harvard "Honesty Scholar" May Have Been Caught in Dishonesty

    "... dishonesty can lead to creativity" - an interesting and somewhat amusing read.

    The New York Times: "Questions about a widely cited paper are the latest to be raised about methods used in #behavioral research."

    datacolada.org/111

    #ResearchHighlights #honesty #dishonesty #phacking #harking #dredging #gino #harvard #fraud #cheating #academic #datacolada

  9. “It’s a bit like seeing a rabbit shape in the clouds and then testing whether all clouds look like rabbits… using the same cloud. I hope you appreciate that you’re going to need some new clouds to test your theory.

    Any datapoint you use to inspire a theory or question can’t be used to test that same theory.”

    #phacking #statistics #rstats

    towardsdatascience.com/the-mos

    @sociology @communicationscholars @rstats

  10. “It’s a bit like seeing a rabbit shape in the clouds and then testing whether all clouds look like rabbits… using the same cloud. I hope you appreciate that you’re going to need some new clouds to test your theory.

    Any datapoint you use to inspire a theory or question can’t be used to test that same theory.”

    #phacking #statistics #rstats

    towardsdatascience.com/the-mos

    @sociology @communicationscholars @rstats

  11. "Do not chase better metrics. Chase better models."

    Excellent lighting talk on how spatial sampling affects the quality of data driven models by Luísa Lucchese

    youtu.be/q9dy2dQuTak

    Chasing better is like

  12. "Do not chase better metrics. Chase better models."

    Excellent lighting talk on how spatial sampling affects the quality of data driven models by Luísa Lucchese

    youtu.be/q9dy2dQuTak

    Chasing better #metrics is like #phacking

    #GeoAI #gischat #datascience #machinelearning