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How We Solved the Worst Minigame in Zelda's History

Linkus7
Explainers
YouTube
3 HN users recommended this explainer3 months2020–2024 score 3
Years with an HN recommendation, 2007–2026

HN recommends it as a rigorous, fun example of reverse engineering a game to predict and conquer its RNG.

Linkus7 explains how a community reverse-engineered The Wind Waker to predict its random number generator and beat the Sploosh Kaboom battleship minigame consistently. It includes d3 animations by Peter Schmidt-Nielsen.

“is a fun video about reverse-engineering Zelda to predict the randomness in a minigame” (HN, 2024)

3 recommendations · 2 citations · Explainers · intermediate

5 Hacker News comments

From the HN archive; up to 20 kept per video, favoring different commenters. Recommendations first.

@leshokunin Sep 2020 Recommends
on HN thread Super Mario Bros. 3 in 3 Minutes – World Record Speedrun Explained [video]
Read more
Excellent video. I'm impressed the author went to recreate the run frame by frame, and then used those findings to analyze what was happening. Never expected this video to turn into a full on reverse engineering explanation. As a side note, this kind of speed run has become more popular in the recent years for a combination of reasons: - First, it's difficult to improve on the regular world records since they're so optimized (just have a look at Quake Done Quick and its sequels). - Second, the emulators available to the speed running community have evolved. They now include better ways to track what's happening in memory. - Third, the games themselves are understood better (as recently exemplified by the Super Mario 64 full reverse engineering). So it's creating a whole new genre of runs that simply isn't about execution anymore. If you're interested in the topic, you might like the Super Mario World speed run that uses a similar technique ( [link] ), or the recent work on removing randomness from Wind Waker runs ( [this video] ).
Removing randomness from Wind Waker runs.
@mbStavola Jul 2023 Recommends
on HN thread Super Mario 64 – Watch for Rolling Rocks – 0.5x a Presses [video]
The sheer depth of knowledge and analytical ability pannenkoek has is honestly quite amazing. I've become quite spoiled watching their SM64 videos, it's been incredibly hard to find something of similar rigor and production value for other games. The closest I've found so far has been a video on how a group of speed runners were able to conquer RNG for a puzzle in Wind waker[0]. [0]: [this video]
Rigorous analysis of conquering RNG in Wind Waker puzzle.
@nick238 Jul 2024 Recommends
on HN thread Making Python Less Random
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If you're developing a game, there's a fairly big issue in that many things may be requesting values from, and thus incrementing, the PRNG, and many of them could be indirectly controlled by the user (where they are, where they're looking, etc. [this video] is a fun video about reverse-engineering Zelda to predict the randomness in a minigame) As far as the approach, I agree in that I don't understand why 'no code changes' is that important, especially in the context of Python which has a general attitude of consent towards monkeypatching code. Maybe one of the randomness sources was hashing all the source files? :P
Reverse-engineering Zelda to predict randomness in a minigame.

Citations, criticism and jokes

@TapamN Apr 2021 Cites it
on HN thread PCG32: The Perfect PRNG for Roguelikes (2018)
That's true. I did think about mentioning this possibility, but decided not to. Another good example of predicting RNG, after a large amount of gameplay, for a non-turn-based game: [this video] I think in certain Pokemon games, people figured out how to predict and manipulate random encounters based on an animation in the load screen.
Example of predicting RNG in a real-time game.

Video list and Hacker News comment labels from HackerTube (prompted by @karpathy), released under ODC-By 1.0, built on the open-index/hacker-news archive. Hacker News data is provided by Y Combinator; comments remain the work of their authors. Video titles, channel names and thumbnails belong to their creators and are shown via YouTube. HackerTube Watch is an unofficial edition. Data export of 2026-10-31.

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