> For the complete documentation index, see [llms.txt](https://the-heist.gitbook.io/the-heist/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://the-heist.gitbook.io/the-heist/season-1-gameplay/heists/event-table.md).

# Event Table

{% hint style="info" %}
For a Chimp, the chance of certain events happening changes over time. The Event Table displays the chances of each event happening in real-time. When a user ends their Heist (by claiming) they will randomly roll an event.\
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The Event Table displays the chances of each event happening in real-time. \
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Gorillas do not have an event table and are passively earning $NANA.
{% endhint %}

The Event Table for all Heist locations:

<div align="left"><figure><img src="https://1981659368-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2FZLFeDVa32EDP6JvSiCNe%2Fuploads%2FWIf0t1ZG8WGmKrSc0jD9%2FFrame%20517%20(3).png?alt=media&amp;token=d84e1172-b05b-423b-a9eb-2eb4ec2d5237" alt=""><figcaption></figcaption></figure></div>

Whilst locations share the same events, the base chances of these outcomes vary between the different risk profile locations.

**Mechanics:**

{% hint style="info" %}
The chance of positive events is static and depends on the Location. Risk (negative event chance) increases over time spent on a Heist.\
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If you prefer to play it safe, the City Bank offers you the best chance at securing your expected $NANA with the lowest chance of hitting negative events. On the other hand, if you like taking risks, the Federal Reserve offers a higher chance at the 10x & 5x events but a higher chance of negative events.
{% endhint %}

The Heist mechanic works in 15-minute epochs. At the start of each epoch, your Event Table is updated to reflect predetermined event chances. These %s are influenced by; time spent, [stats level](/the-heist/season-1-gameplay/stats-skills-and-perks.md), and [items](/the-heist/season-1-gameplay/robberies/items.md) equipped. Your NANA emissions are also rebalanced each epoch, reflecting any changes in users at the location. \
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If more users join in the next epoch, your earnings for that epoch decrease as $NANA is being shared between more players. The opposite is also true if fewer users are at the location in the following epoch.\
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This example displays how differing amounts of users at locations effects token emissions;

> **Epoch 1:**\
> 67,000 $NANA shared between Chimps\
> **1000** users staked at a location\
> Each user earns 67 tokens per hour for that Epoch

> **Epoch 2:**\
> 67,000 $NANA shared between Chimps\
> **1100** users staked at a location\
> Each user earns 60.9 tokens per hour for that Epoch

This example displays how event chances change as epochs pass (Medium Risk zone example;&#x20;

> **Epoch 1:**\
> 10x: 2%\
> 5x: 3%\
> 2x: 10%\
> Expected: 45%\
> Fumbled: 39.9240%\
> Confiscation: 0.0684%\
> Arrested: 0.0076%\
> Rekt: 0%

> **Epoch 670:**\
> 10x: 2%\
> 5x: 3%\
> 2x: 10%\
> Expected: 45%\
> Fumbled: 0.0913%\
> Confiscation: 34.9232%\
> Arrested: 4.9855 %\
> Rekt: 0%

Users will have to theorize optimal locations, factoring in the varying event tables and number of Chimps at the location.