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#debiasing — Public Fediverse posts

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

  1. A 2021 paper in a pay-to-publish #Nature journal claimed #mindfulness tasks (notice 3 things around you or differences between 2 similar images) reduced some cognitive #biases: doi.org/10.1057/s41599-021-007

    The mindful #debiasing was undetected in a re-analysis and 2 replications: doi.org/10.1007/s12671-025-025

  2. More successful predictions of my #BoundedReflectivism & #EpistemicIdentity article from 2022?

    From about 2017 or 2018, I reviewed evidence suggesting that reflective thinking often helps, but may even hinder our judgment depending on factors like whether we are reasoning based on shared identities and epistemic standards (doi.org/10.1111/meta.12534).

    Years later Robb Willer et al. solicited ideas for debiasing political judgments. After years of testing 25 different interventions, their results are published in #Science: doi.org/10.1126/science.adh476

    They found that biased evaluations of politicized facts were impacted by both
    - REFLECTION (on potential misperceptions of undemocratic actions) and
    - shared IDENTITY cues (which could help *or* hinder!)

    #decisionScience #politics #psychology #philosophy #epistemology #metaphilosophy #JDM #debiasing #chatBot

  3. "Political #socialMedia ads labeled as from in-party sources and apparently non-partisan sources were trusted more than out-party sources.

    So if you want to be sneaky just advertise under a name without any party connections"

    That's a description from @mjbsp.bsky.social‬ about an #openAccess paper in #PoliticalPsychology by @tomstafford et al.: doi.org/10.1111/pops.13034

    #politics #marketing #persuasion #journalism #decisionScience #nonPartisanship #socialPsychology #cogSci #bias #debiasing

  4. Does data visualization help people overcome mathematical biases like base rate neglect?

    Not necessarily. In fact, one experiment on master’s students found that “when base rate information [was] presented visually, participants answered significantly more biased than when information [was] presented textually.“

    doi.org/10.23947/2334-8496-202

    #probability #stats #edu #dataViz #bias #debiasing #argumentMapping

  5. 'High-Dimensional Inference for Generalized Linear Models with Hidden Confounding', by Jing Ouyang, Kean Ming Tan, Gongjun Xu.

    jmlr.org/papers/v24/22-0834.ht

    #confounders #inferences #debiasing

  6. 'High-Dimensional Inference for Generalized Linear Models with Hidden Confounding', by Jing Ouyang, Kean Ming Tan, Gongjun Xu.

    jmlr.org/papers/v24/22-0834.ht

    #confounders #inferences #debiasing

  7. 'High-Dimensional Inference for Generalized Linear Models with Hidden Confounding', by Jing Ouyang, Kean Ming Tan, Gongjun Xu.

    jmlr.org/papers/v24/22-0834.ht

    #confounders #inferences #debiasing

  8. 'High-Dimensional Inference for Generalized Linear Models with Hidden Confounding', by Jing Ouyang, Kean Ming Tan, Gongjun Xu.

    jmlr.org/papers/v24/22-0834.ht

    #confounders #inferences #debiasing

  9. 'High-Dimensional Inference for Generalized Linear Models with Hidden Confounding', by Jing Ouyang, Kean Ming Tan, Gongjun Xu.

    jmlr.org/papers/v24/22-0834.ht

    #confounders #inferences #debiasing