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THE VIDEO SHELF · card magic

Dani DaOrtiz at Fool US 2022 (the act that Penn and Teller didn’t even try to figure out.)

A ten-minute card-magic act by Dani DaOrtiz performed on Penn & Teller: Fool Us in 2022. It is built on timing, misdirection and psychology, and the method defeated the show's hosts.

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Why HN readers recommended it

HN commenters repeatedly call it among the best magic performances ever, valuing it as acting and craft that stays impressive even once you know the method.

This is a summary from the source dataset, not an endorsement by Hacker News or the video creator.

Video & recommendation details

Creator / channel
dani daortiz
Topic
card magic
Format
demo
Level
general
HN recommenders in dataset
5
HN mentions in dataset
8
Recommendation years in dataset
2023–2025

These counts and years describe the included Hacker News records; they are not YouTube views or the video’s publication date.

From the original HN conversations

Excerpts from the recorded comments. Follow each source for the full comment and surrounding discussion.

  • If you like Juan Tamariz, have a look at some of Dani DaOrtiz routines, another Spanish magician heavily influenced by Tamariz. This one from 2022 for Penn and Teller is amazing: [VIDEO]

    fauria on Hacker News · 2023-01
    In A Man Who Made Spain the Magic Capital of the World

  • His student Dani Daortiz is amazing to watch. [VIDEO] The explanation of this 10 minute act using a non-gimmicked deck of cards is 3 hours long. [LINK]

    uberuberuber on Hacker News · 2023-01
    In A Man Who Made Spain the Magic Capital of the World

  • This is the thing that very few people understand about magic, including many aspiring magicians: there is a lot more to it than just "technical understanding". Magic is a performance art. It's a kind of acting. And you can be very good at the technical …

    lisper on Hacker News · 2023-11
    In Magicians less prone to mental disorders than other artists, finds research

Summaries, classifications and recommendation records are from the HackerTube source dataset. Read about this library and its limitations.

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