HackerTube.dev

Are athletes really getting faster, better, stronger? | David Epstein

TED · 7.1M views · 2014-04-29 · 14:54

Open on YouTube ↗

If playback is restricted in your region, try opening the original video. Use Mark watched to add it to your marked videos.

Overview

David Epstein argues in this TED talk that improving athletic records owe much to technology, training and the selection of specialized body types, not just humans getting inherently better. He gives counter-intuitive examples across sports.

On Hacker News

HN links it in threads about athlete body types, sports technology and record-breaking as a relevant, counter-intuitive explanation.

Recommended by 3 HN people across 3 months · HN mentions 2014–2020

Topics

Search by tags

What people said

nichochar · 2014-06 · Strong recommendation

Fasinating, reminds me of a great TED talk about this: "Are athletes really getting bigger, faster, stronger?" [VIDEO] tl;dr: no

Read the original HN comment ↗
aledalgrande · 2020-02 · Recommendation

I can attest that running on a thick plated pair of shoes like the Zoom Fly SP I had is exhilarating, especially after training in other "normal" shoes. I see how the competition should measure athleticism and not a sponsor/athlete unit, but all recent records have been broken because of technology, let's be honest. I suggest you watch this TEDx for reference: [VIDEO]

Read the original HN comment ↗
code_sloth · 2019-11 · Recommendation

Professional sports today are the more result of artificial selection of people that have specialized bodies for their sport. Relevant TED talk: [VIDEO]

Read the original HN comment ↗

Sources

Video by TED, played through YouTube.

Data and selection notes

HN summaries and labels may contain AI errors. HN dates refer to discussions, not video publication.

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

Views, duration and playback status refresh separately from the published catalog. When an update fails, existing data remains visible.

Selection checks
  • SaaS & AI candidates: Topic keywords do not match
  • Editor-approved picks: Editorial review is required

Rule matches identify candidates. They do not guarantee video quality or financial results.

About the library and its sources