As part of the Giving What We Can pledge, I aim to give at least 10% of my pre-tax income to charities that I deem effective at making the world better. Here I report which charities I made donations to and in what proportions. I give some explanation of what each organization is and why I chose to give to it. These are not meant to be comprehensive. For in-depth third-party research about the work done by some of the world's most* effective charities, I recommend GiveWell. (If you like meta-causes, GiveWell may be a good donation target for you.)

Please get in touch if you think my donation patterns disagree significantly with what you think my values are. (Find my email address and my anonymous feedback form on my main page.)

Here is a summary of my lifetime donations, up-to-date as of Jan 2022.

Charity

Amount Arguments from the org about why to donate  Why I donate
GiveDirectly

$43000

GiveDirectly "gives cash directly to people living in poverty."
They measure their impact in peer-reviewed randomized control trials. One of their studies claims an impact per $1000 transferred of: $270 increase in earnings, $430 increase in assets, $330 increase in annual nutrition spend, 0% effect on alcohol or tobacco spend.

See summaries and links to their papers here.

I have not studied their methodology directly. The key (anec)data that drive my donations are excerpts from interviews with transfer recipients. They describe using the money for things like water-resistant roofing, schooling for children, and building wells. 

Here I optimize jointly for the probability that my donation improves some specific person's lives and the expected value of the magnitude of improvement.

Ought

$23000

"Ought is a research lab that develops mechanisms for delegating open-ended thinking to advanced machine learning systems. We study this delegation problem using experiments with human participants."

Here is a technical summary of their latest batch of experiments. 

I read their published research program in depth, and I find the directions promising.

I aim to eventually transition to direct technical work on problems that require theoretical contributions from individuals thinking deeply for a long time. With this work I'm aiming to support the efforts of agents that are similar to future-me. 

BEAM

$16000

"BEAM asks itself, 'what do most scientists, mathematicians, engineers, and programmers do growing up?' and then, 'how can we bring those same opportunities to underserved students?' 

BEAM then creates a series of experiences for students in grades 6-12: a 6th grade summer program in Los Angeles and New York City; a 7th grade residential summer program on college campuses; advising from 8th-12th grade to help students attend great high schools, pass algebra in 8th grade, access other enrichment programs, and ultimately go to a great college.  Students declaring STEM majors even get support during college.  Through our work, BEAM helps to diversify other enrichment programs and gives students a realistic chance at the career of their dreams."

I worked at BEAM as a counselor in their residential summer program for 7th graders.  

I consider this in part a "local" donation to people that live near me (the students in general) and people that I know personally (students I've worked with and staffpeople that are my close friends).

Canada/USA Mathcamp

$7000

"Canada/USA Mathcamp is an intensive 5-week-long summer program for mathematically talented high school students, designed to expose these students to the beauty of advanced mathematical ideas and to new ways of thinking.

More than just a summer camp, Mathcamp is a vibrant community, made up of a wide variety of people who share a common love of learning and passion for mathematics."

I consider this entirely a "local" donation for the benefit of agents that are similar to 15-year-old me. I give Mathcamp a significant fraction of the credit of my career path as a theorem-prover and quantitative thinker.
Undisclosed donations to political campaigns.

$5000

* According to a search with lots of constraints and some (fairly mild) assumptions about which things are morally valuable.