PubHawk
Proc Natl Acad Sci U S A February 2014 PMID 24477693

On the mis-presentation and misinterpretation of gender-related data: the case of Ingalhalikar's human connectome study.

Daphna Joel, Ricardo Tarrasch

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Mentions

8
Peak: 2 in Oct 2025
across 4 sources since Mar 2022

Extended reach

6,982
potential audience

Total likes

176

Video views

6,576

Mentions per month

Mar 2022 – Oct 2025

Where it's discussed

  • X / Twitter2 posts
  • YouTube2 videos
  • News2 articles
  • Blogs2 articles

AI synopsis

What people are saying

Several posts, such as the one mentioning confirmation bias and inaccuracy, suggest a cautious approach toward the publication's interpretation and highlight concerns about hasty dismissals. The tone varies from critical to neutral, reflecting a general skepticism about how the research is being discussed and interpreted in social discussions.

AgreementNeither agree nor disagree

Most discussions show a neutral stance, with some criticizing the rush to judgment and calling out inaccuracies in related articles, indicating mixed agreement.

InterestModerate interest

The discussions reveal mild interest, primarily focused on critique rather than deep exploration of the article's content.

EngagementModerate engagement

The posts demonstrate a moderate level of engagement, with some users calling out biases and inaccuracies, but few delve into detailed analysis.

ImpactNeutral impact

The overall impact appears limited, as the posts mainly highlight issues with misinterpretation rather than illustrating broad influence or change.

Abstract in brief

  • The article discusses issues with how gender-related data is often misrepresented or misunderstood in scientific studies, using Ingalhalikar et al.'s human connectome study as a primary example.
  • It highlights the importance of accurately analyzing and reporting gender differences in brain connectivity to avoid reinforcing stereotypes or drawing incorrect conclusions.
  • The paper calls for more careful interpretation and presentation of gender data in neuroscience research to ensure findings are valid and meaningful.]
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Top posts

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HoldTheBSPlz
@HoldTheBSPlz · X

@lealadorna @D_449276 @ShadoWilliam13 @MikeRose87_ @ZubyMusic So hasty to post the first thing that fed into your confirmation bias, you couldn't be bothered to notice that the very next related article calls out the inaccuracies in the submission you posted. https://t.co/sxmIXmTStt

Mar 17, 2022 · 1 like · 235 followers View post →
Mehverlous
@MawuliAckuaku · X

@leosayshelloo @emofartmonky @lavarock1359 @tertiusphoto @Hawk00900842 @RyanG2B @RPeezus https://t.co/6VD0G0RHpy

Jan 8, 2025 · 171 followers View post →

All mentions

Mehverlous
@MawuliAckuaku · X

@leosayshelloo @emofartmonky @lavarock1359 @tertiusphoto @Hawk00900842 @RyanG2B @RPeezus https://t.co/6VD0G0RHpy

Jan 8, 2025 · 171 followers View post →
HoldTheBSPlz
@HoldTheBSPlz · X

@lealadorna @D_449276 @ShadoWilliam13 @MikeRose87_ @ZubyMusic So hasty to post the first thing that fed into your confirmation bias, you couldn't be bothered to notice that the very next related article calls out the inaccuracies in the submission you posted. https://t.co/sxmIXmTStt

Mar 17, 2022 · 1 like · 235 followers View post →