HackerTube.dev

Kostya Kimlat Fools Penn & Teller // Fool Us: Penn's Favorite Card Trick

Kostya Kimlat · 14.6M views · 2015-08-18 · 7:51

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

Magician Kostya Kimlat performs a card trick on Penn & Teller: Fool Us that fooled the duo, using Penn's favorite card trick as a basis.

On Hacker News

HN recommends it as a trick admired for both its method and its effect.

Recommended by 3 HN people across 3 months · HN mentions 2017–2025

Topics

Search by tags

What people said

moralestapia · 2022-06 · Strong recommendation

I like this one a lot as it is amazing on both method + effect. Effect: [VIDEO] I won't reveal the method but here it is in Penn's words (from 1:20): [LINK]

Read the original HN comment ↗
JdeBP · 2025-09 · Recommendation

I can just reiterate my prior comment: * [VIDEO] (-: For M. Kimlat's own commentary and someone else's particularly insightful comment: * [LINK] For the time spent on prep for the second appearance: * [LINK]

Read the original HN comment ↗
fenomas · 2017-04 · Recommendation

That was real! I mean he wasn't really angry but he really did have his mind blown. The backstory is that the magician in question (Kostya Kimlat) did a trick that Penn & Teller also do, and he did it more or less the same way they do it - except that at the end, at the part where P&T do the sleights that make the trick work, in Kimlat's version the effect was already done because he'd done a different sleight, earlier, about five inches under P&T's noses. It was pretty glorious. The trick: [VIDEO] Penn talking about it: [LINK]

Read the original HN comment ↗

Sources

Video by Kostya Kimlat, 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