https://github.com/rolanddaum/gambleclicker

Click and gamble to get as far as possible
https://github.com/rolanddaum/gambleclicker

css gamble html js minigame

Last synced: 27 days ago
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Click and gamble to get as far as possible

• Host: GitHub
• URL: https://github.com/rolanddaum/gambleclicker
• Owner: RolandDaum
• Created: 2024-03-07T20:11:34.000Z (about 2 years ago)
• Default Branch: main
• Last Pushed: 2025-01-23T09:54:42.000Z (over 1 year ago)
• Last Synced: 2025-01-23T10:30:56.544Z (over 1 year ago)
• Topics: css, gamble, html, js, minigame
• Language: HTML
• Homepage:
• Size: 349 KB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: docs/README.md

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README

          
# [Gamble Clicker](https://rolanddaum.github.io/GambleClicker/)

![Project Banner](https://github.com/RolandDaum/GambleClick/blob/main/docs/gc_banner.png?raw=true)

## Introduction

For every button press the chance of a reset will be increased by one percentage point. Be lucky and get as far as you can. On the bottom of the page there is a chart with the amount of tries visualizing how often how far you came (may take some tries to be properly visualizable).

I think I got this idea from a TikTok video but not in a direct way. After thinking about it for some time, I just made it. Unfortunately a couple of months later I found basically the same game as a paid version on [steam](https://store.steampowered.com/app/2026850/THE_BUTTON__Golden_Button/).

If you still want to try your luck and see how far it takes you press [here](https://rolanddaum.github.io/GambleClicker/) or go to https://rolanddaum.github.io/GambleClicker/

## Probability

For everyone who is interested in the stochastic Maths part of this, here is a chart that shows the probability of an increase on the Y-Axis and the amount of clicks in decimal on the X-Axis.

![Probability Chart](/docs/ProbabilityChart.png)

For reference, here is a screenshot of the chart from the game after something like 10K runs.

![Probability Chart](/docs/GameChart.png)

Aside from the fact that the X-Axis is mirrored, we can clearly see that the probability chart is an integral of the percentage chart and vice versa as a derivative graph.

The gradient from the first chart can be seen as a value in the second one.