https://github.com/danpersa/bias-sim

https://github.com/danpersa/bias-sim

Last synced: 2 months ago
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• Host: GitHub
• URL: https://github.com/danpersa/bias-sim
• Owner: danpersa
• Created: 2019-01-11T16:25:36.000Z (over 6 years ago)
• Default Branch: master
• Last Pushed: 2019-01-30T09:24:53.000Z (over 6 years ago)
• Last Synced: 2025-01-22T04:31:22.385Z (4 months ago)
• Language: JavaScript
• Size: 618 KB
• Stars: 0
• Watchers: 0
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

        
# Bias Simulation

The goal of this experiment is to get an impression on how unconscious bias can affect the structure of a company. This was inspired by [this talk](https://www.youtube.com/watch?v=nLjFTHTgEVU).

Let's explain what the simulation is about:

 - We assume that there is an organization, with 7 layers

   - On the level 1 there are the senior members of the organization

   - On level 7 we have the most junior members

 - We assume that at each level, there are 50% man and 50% women

 - Before beginning the simulation, two parameters can be set:

    - **Attrition rate**:

    On every step of the simulation, as assume that some employees leave the company.

    We assume that half of these employees are women and half man.

    The *attrition rate* gives the percentage of employees who decide to leave.

    - **Bias level**: We'll explain this later.

Starting the simulation:

The simulation has 20 steps. Here is what happens during each steps:

 - We start from Level 1.

 We assume that the percentage of employees, given by the *attrition rate* leave the company.

 - We have two ways of filling in the open positions:

 We assume that we fill in half of the open positions by hiring new employees and the other half by promoting existing employees from the previous level.

 - We assume that both the hiring and the promotion processes are biased towards men, by a factor given by the *bias level*. See the next chapters about the *Hiring process* and *Promotion process* below.

### Hiring process

Let's assume that we have 10 positions to fill. We assume that we have 100 candidates, 50 women and 50 men.

## Promotion process



  

  

  





  


    Attrition Rate:

    

    Bias Level:

    

    



    Start Simulation

    Reset Simulation

  

  


  
Attrition Rate: 15

  
Bias Level: 1