The 2020 Effective Altruism Survey is now live at the following link: https://www.surveymonkey.com/r/EAS2020Forum
If you would like to share the EA Survey with others, please share this link: https://www.surveymonkey.com/r/EAS2020Share
The survey will remain open through the end of the year.
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What is the EA Survey?
The EA Survey provides valuable information about the demographics of the EA community, how people get involved, how they donate, what causes they prioritise, their experiences of EA, and more.
The estimated average completion time for the main section of this year’s survey is 20 minutes. There is also an ‘Extra Credit’ section at the end of the survey, if you are happy to answer some more questions.
What's new this year?
There are two important changes regarding privacy and sharing permissions this year:
1) This year, all responses to the survey (including personal information such as name and e-mail address) will be shared with the Centre for Effective Altruism unless you opt out on the first page of the survey.
2) Rethink Priorities will not be making an anonymised data set available to the community this year. We will, however, consider requests for us to provide additional aggregate analyses which are not included in our main series of posts.
Also the Centre for Effective Altruism has generously donated a prize of $500 USD that will be awarded to a randomly selected respondent to the EA Survey, for them to donate to any of the organizations listed on EA Funds. Please note that to be eligible, you need to provide a valid e-mail address so that we can contact you.
We would like to express our gratitude to the Centre for Effective Altruism for supporting our work.
Thanks!
Roughly speaking, there seem to be two main benefits and two main costs to making an anonymised dataset public. The main costs: i) time and ii) people being turned off of the EA Survey due to believing that their data will be available and identifiable. The main benefits: iii) the community being able to access information (which isn't included in our public reports) and iv) transparency and validation from people being able to replicate our results.
Unfortunately, the dataset is so heavily anonymised in order to try to reduce cost (ii) (while simultaneously increasing cost (i)), that it seems impossible for people to replicate many of our analyses (even with the public dataset), because the data is so heavily obscured, essentially vitiating (iv). We have considered, and are considering, other options like producing a simulated dataset for future surveys in order to allow people to complete their own analyses, if there were sufficient demand, but this would come at an even higher time cost. Conversely, it seems benefit (iii) can be attained, in the main, without releasing a public dataset, just by producing additional aggregate analyses on request (where possible).
Of course, we'll see how this system works this year and may revisit it in the future.