80,000 Hours Podcast

Benjamin Todd on what the effective altruism community most needs (80k team chat #4)


Listen Later

In the last '80k team chat' with Ben Todd and Arden Koehler, we discussed what effective altruism is and isn't, and how to argue for it. In this episode we turn now to what the effective altruism community most needs.

Links to learn more, summary and full transcript
• The 2020 Effective Altruism Survey just opened. If you're involved with the effective altruism community, or sympathetic to its ideas, it's would be wonderful if you could fill it out: https://www.surveymonkey.co.uk/r/EAS80K2

According to Ben, we can think of the effective altruism movement as having gone through several stages, categorised by what kind of resource has been most able to unlock more progress on important issues (i.e. by what's the 'bottleneck'). Plausibly, these stages are common for other social movements as well.

Needing money: In the first stage, when effective altruism was just getting going, more money (to do things like pay staff and put on events) was the main bottleneck to making progress.
Needing talent: In the second stage, we especially needed more talented people being willing to work on whatever seemed most pressing.
Needing specific skills and capacity: In the third stage, which Ben thinks we're in now, the main bottlenecks are organizational capacity, infrastructure, and management to help train people up, as well as specialist skills that people can put to work now.

What's next? Perhaps needing coordination -- the ability to make sure people keep working efficiently and effectively together as the community grows.

Ben and I also cover the career implications of those stages, as well as the ability to save money and the possibility that someone else would do your job in your absence.

If you’d like to learn more about these topics, you should check out a couple of articles on our site:

Think twice before talking about ‘talent gaps’ – clarifying nine misconceptions
How replaceable are the top candidates in large hiring rounds? Why the answer flips depending on the distribution of applicant ability

Get this episode by subscribing: type 80,000 Hours into your podcasting app. Or read the linked transcript.

Producer: Keiran Harris.
Audio mastering: Ben Cordell.
Transcriptions: Zakee Ulhaq.

...more
View all episodesView all episodes
Download on the App Store

80,000 Hours PodcastBy The 80,000 Hours team

  • 4.7
  • 4.7
  • 4.7
  • 4.7
  • 4.7

4.7

304 ratings


More shows like 80,000 Hours Podcast

View all
Making Sense with Sam Harris by Sam Harris

Making Sense with Sam Harris

26,380 Listeners

Conversations with Tyler by Mercatus Center at George Mason University

Conversations with Tyler

2,461 Listeners

The a16z Show by Andreessen Horowitz

The a16z Show

1,105 Listeners

Azeem Azhar's Exponential View by Azeem Azhar

Azeem Azhar's Exponential View

616 Listeners

The Joe Walker Podcast by Joe Walker

The Joe Walker Podcast

124 Listeners

ChinaTalk by Jordan Schneider

ChinaTalk

291 Listeners

Your Undivided Attention by The Center for Humane Technology, Tristan Harris, Aza Raskin

Your Undivided Attention

1,635 Listeners

Google DeepMind: The Podcast by Hannah Fry

Google DeepMind: The Podcast

203 Listeners

Machine Learning Street Talk (MLST) by Machine Learning Street Talk (MLST)

Machine Learning Street Talk (MLST)

101 Listeners

Dwarkesh Podcast by Dwarkesh Patel

Dwarkesh Podcast

551 Listeners

Big Technology Podcast by Alex Kantrowitz

Big Technology Podcast

512 Listeners

Hard Fork by The New York Times

Hard Fork

5,576 Listeners

No Priors: Artificial Intelligence | Technology | Startups by Conviction

No Priors: Artificial Intelligence | Technology | Startups

150 Listeners

"Econ 102" with Noah Smith and Erik Torenberg by Turpentine

"Econ 102" with Noah Smith and Erik Torenberg

147 Listeners

The Marginal Revolution Podcast by Mercatus Center at George Mason University

The Marginal Revolution Podcast

91 Listeners