Hi all,
A while back I posted on here asking if there were any other pro athlete aspiring EAs. The response (while not including other pro athletes) was amazing, and the conversations and contacts that manifested from this forum were myriad. Thank you deeply for being such an awesome community!
Now I am very pleased to say that High Impact Athletes has launched.
We are an EA aligned non-profit run by pro athletes. HIA aims to channel donations to the most effective, evidence-based charities in the world in the areas of Global Health & Poverty and Environmental Impact. We will harness the wealth, fame, and social influence of professional athletes to bring as many new people in to the effective altruism framework as possible and create the biggest possible snowball of donations to the places where they can do the most good.
You can poke around on the website to learn more at https://highimpactathletes.com/
Feedback is welcomed, and even more welcome is a follow on any of the socials. I'm terrible at social media and could use all the help I can get to build an audience.
Instagram: high.impact.athletes
Twitter: HIAorg
Facebook: @HIAorg
On that note, if anyone is interested in helping out with the social media side of things or knows anyone who would be please do get in touch either on here or at marcus@highimpactathletes.com
Thank you once again, you're all awesome.
Cheers, Marcus Daniell
Yep, I agree that for some organizations, optimizing for effectiveness will at certain times also mean that it's right to optimize at least partially for diversity as an instrumental goal. I think that is true. If you set it yourself as a bottom-line for your organization, as a terminal goal that has to be achieved independently of the specific problems you face, it will of course trade off against your other goals. But it will not necessarily do so if you just uncover it as part of optimizing for your other goals, as a useful instrumental/intermediary goal, and it can of course be useful advice to make people aware of that.
I disagree that it would be good advice for most organizations to follow, but I think we've reached the part where I no longer have definite takes, but more guesses and hunches and models with large inferential distance, such that it isn't obviously worth going into.