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How To Tell Someone They Sound Racist

Jay Smooth · 1.5M views · 2008-07-21 · 3:00

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Overview

Jay Smooth's short video on how to tell someone their words sound racist. He argues for focusing on what the person said or did rather than labeling who they are.

On Hacker News

HN commenters cite it in arguments about criticism, to separate attacking a comment from attacking a person.

Discussed on HN; no positive recommendation is recorded in this export · HN mentions 2011–2021

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What people said

pseudalopex · 2021-12 · Reference

The point was you said it was intended to poke fun at traditional chivalry like it was a fact. But it was just your speculation. We define chivalrous differently apparently. And I never heard of someone trying to flatter a 21 year old man by wishing him a happy 60th birthday. What they said and what kind of person they are are 2 different discussions.[1] Well meaning people accept constructive criticism. I know people who would like what you wrote better. I know people who would think telling them you're sure they didn't mean something was insincere and condescending. The 1st reply that mentioned the attempted joke just said please don't make sexist comments.[2] It was appropriate for an aside on a technical mailing list. The joker could have replied off list if they didn't understand. They doubled down instead like you said. Someone else called it cancel culture and called other people hypocrites. Someone else compared it to witch burning. Someone else implied assuming good intentions meant ignoring anything unintentionally objectionable. The reaction to that was someone proposed a different standard. The reaction to that was trolling. [1] [VIDEO] [2] [LINK]

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pseudalopex · 2021-05 · Reference

You're turning a discussion about what someone did into a discussion about who they are.[1] [1] [VIDEO]

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pseudalopex · 2021-02 · Reference

They didn't say or ask if he turned into a misogynist. The question is about what he said. Not what he is.[1] [1] [VIDEO]

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Sources

Video by Jay Smooth, played through YouTube.

Data and selection notes

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HN Library: HackerTube export (2026-10-31) and open-index/hacker-news. Upstream summaries and classifications may contain AI errors.

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