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rat/eamentalhealth/analysis/readme.md
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@ -17,10 +17,10 @@
## 1. Is the population which answered the survey representative of EA overall?
### 1.1. According to age
![]([nunosempere.github.io/rat/eamentalhealth/analysis/A1.png)
![]([https://nunosempere.github.io/rat/eamentalhealth/analysis/A1.png)
### 1.2. According to country.
![]([nunosempere.github.io/rat/eamentalhealth/analysis/A2.png)
![]([https://nunosempere.github.io/rat/eamentalhealth/analysis/A2.png)
### 1.3. According to gender.
EA Survey 2018:
@ -34,7 +34,7 @@ Editorial bottom line: With respect to age, country, and gender, there seem to b
## 2. Does EA have a mental health problem?
Initially, I was intending to find out the different mental disorder rates in the different countries, and combine that with the distribution in the data. The webpage [Our World in Data](https://ourworldindata.org/mental-health) provides the necessary data:
![nunosempere.github.io/rat/eamentalhealth/analysis/share-with-mental-and-substance-disorders.png]
![](https://nunosempere.github.io/rat/eamentalhealth/analysis/share-with-mental-and-substance-disorders.png)
We see that the distribution is broadly similar across the countries among which EA has a presence. Most importantly, it doesn't surpass ~25% in any country, whereas among survey respondents:
- 45% have been diagnosed with one or more mental disorders.
@ -167,7 +167,7 @@ The effect is very robust to different modelizations: regressing instead on empt
Here is the above, presented visually
![]([nunosempere.github.com/rat/eamentalhealth/analysis/A3.png)
![]([https://nunosempere.github.com/rat/eamentalhealth/analysis/A3.png)
The following table is the cold, raw, hard data for the graphic.
```