Or on the types of prioritization, their strengths, pitfalls, and how EA should balance them
The cause prioritization landscape in EA is changing. Prominent groups have shut down, others have been founded, and everyone is trying to figure out how to prepare for AI. This is the first in a series of posts examining the state of cause prioritization and proposing strategies for moving forward.
Executive Summary
* Performing prioritization work has been one of the main tasks, and arguably achievements, of EA.
* We highlight three types of prioritization: Cause Prioritization, Within-Cause (Intervention) Prioritization, and Cross-Cause (Intervention) Prioritization.
* We ask how much of EA prioritization work falls in each of these categories:
* Our estimates suggest that, for the organizations we investigated, the current split is 89% within-cause work, 2% cross-cause, and 9% cause prioritization.
* We then explore strengths and potential pitfalls of each level:
* Cause prioritization offers a big-picture view for identifying pressing problems but can fail to capture the practical nuances that often determine real-world success.
* Within-cause prioritization focuses on a narrower set of interventions with deeper more specialised analysis but risks missing higher-impact alternatives elsewhere.
* Cross-cause prioritization broadens the scope to find synergies and the potential for greater impact, yet demands complex assumptions and compromises on measurement.
* See the Summary Table below to view the considerations.
* We encourage reflection and future work on what the best ways of prioritizing are and how EA should allocate resources between the three types.
* With this in mind, we outline eight cruxes that sketch what factors could favor some types over others.
* We also suggest some potential next steps aimed at refining our approach to prioritization by exploring variance, value of information, tractability, and the
Please vote for Malaria Consortium.
https://amp.reddit.com/r/TabForACause/comments/ewsx5p/2020_tab_for_a_cause_charity_spotlight_nomination/
Tab for a Cause is a browser extension that donates hearts to charity for every new tab opened while you surf the internet. It's totally free and legitimate.
In 2019, Tab for a Cause raised over $185,000 for nonprofits around the world, and over $50,000 of that was given to the 9 different charities chosen by Tabbers during our monthly Charity Spotlights.
They are holding a vote on reddit to see what charities will be included this year and Malaria Consortium is in the running! This is a wonderful opportunity.
It would be nice if you guys could reference this post in other EA groups, facebook, twitter, etc. It's really an effort-free way to advocate the vote for Malaria Consortium.
Please vote for Malaria Consortium and spread the word.
Tab 4 a cause is legitimate. You can read all about how it works here:
https://gladly.zendesk.com/hc/en-us/articles/205954618-How-does-Tab-for-a-Cause-raise-money-for-charity?fbclid=IwAR2hWqYClpDjoSuxefpU4naqlbVWkREivVW__0nlTSVrxFP5TMdm_W3IASw&mobile_site=true
And you can install the extension on your browser here: https://tab.gladly.io
Link doesn't work for me.
https://amp.reddit.com/r/TabForACause/comments/ewsx5p/2020_tab_for_a_cause_charity_spotlight_nomination/
Here you go this is the reddit thread where you can vote.
Tab 4 a cause is legitimate. You can read all about how it works here: https://gladly.zendesk.com/hc/en-us/articles/205954618-How-does-Tab-for-a-Cause-raise-money-for-charity?fbclid=IwAR2hWqYClpDjoSuxefpU4naqlbVWkREivVW__0nlTSVrxFP5TMdm_W3IASw&mobile_site=true
And you can install the extension on your browser here: https://tab.gladly.io