#73 – Phil Trammell on patient philanthropy and waiting to do good

#73 – Phil Trammell on patient philanthropy and waiting to do good

To do good, most of us look to use our time and money to affect the world around us today. But perhaps that's all wrong.

If you took $1,000 you were going to donate and instead put it in the stock market — where it grew on average 5% a year — in 100 years you'd have $125,000 to give away instead. And in 200 years you'd have $17 million.

This astonishing fact has driven today's guest, economics researcher Philip Trammell at Oxford's Global Priorities Institute, to investigate the case for and against so-called 'patient philanthropy' in depth. If the case for patient philanthropy is as strong as Phil believes, many of us should be trying to improve the world in a very different way than we are now.

He points out that on top of being able to dispense vastly more, whenever your trustees decide to use your gift to improve the world, they'll also be able to rely on the much broader knowledge available to future generations. A donor two hundred years ago couldn't have known distributing anti-malarial bed nets was a good idea. Not only did bed nets not exist — we didn't even know about germs, and almost nothing in medicine was justified by science.

ADDED: Does the COVID-19 emergency mean we should actually use resources right now? See Phil's first thoughts on this question here.

Links to learn more, summary and full transcript.

What similar leaps will our descendants have made in 200 years, allowing your now vast foundation to benefit more people in even greater ways?

And there's a third reason to wait as well. What are the odds that we today live at the most critical point in history, when resources happen to have the greatest ability to do good? It's possible. But the future may be very long, so there has to be a good chance that some moment in the future will be both more pivotal and more malleable than our own.

Of course, there are many objections to this proposal. If you start a foundation you hope will wait around for centuries, might it not be destroyed in a war, revolution, or financial collapse?

Or might it not drift from its original goals, eventually just serving the interest of its distant future trustees, rather than the noble pursuits you originally intended?

Or perhaps it could fail for the reverse reason, by staying true to your original vision — if that vision turns out to be as deeply morally mistaken as the Rhodes' Scholarships initial charter, which limited it to 'white Christian men'.

Alternatively, maybe the world will change in the meantime, making your gift useless. At one end, humanity might destroy itself before your trust tries to do anything with the money. Or perhaps everyone in the future will be so fabulously wealthy, or the problems of the world already so overcome, that your philanthropy will no longer be able to do much good.

Are these concerns, all of them legitimate, enough to overcome the case in favour of patient philanthropy? In today's conversation with researcher Phil Trammell and my 80,000 Hours colleague Howie Lempel, we try to answer that, and also discuss:

• Real attempts at patient philanthropy in history and how they worked out
• Should we have a mixed strategy, where some altruists are patient and others impatient?
• Which causes most need money now, and which later?
• What is the research frontier here?
• What does this all mean for what listeners should do differently?

Chapters:

  • Rob’s intro (00:00:00)
  • The interview begins (00:02:23)
  • Consequences for getting this question wrong (00:06:03)
  • What have people had to say about this question in the past? (00:07:22)
  • The case for saving (00:11:51)
  • Hundred year leases (00:29:28)
  • Should we be concerned about one group taking control of the world? (00:34:51)
  • Finding better interventions in the future (00:37:20)
  • The hinge of history (00:43:46)
  • Does uncertainty lead us to wanting to wait? (01:01:52)
  • Counterarguments (01:11:36)
  • What about groups who have a particular sense of urgency? (01:40:46)
  • How much should we actually save? (02:01:35)
  • Implications for career choices (02:19:49)


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

Denne episoden er hentet fra en åpen RSS-feed og er ikke publisert av Podme. Den kan derfor inneholde annonser.

Episoder(352)

Max Nadeau on why ambitious people should start AI safety nonprofits

Max Nadeau on why ambitious people should start AI safety nonprofits

There are millions available for anyone who can launch a successful nonprofit AI safety startup. The hard part, it turns out, is finding people to take the money. Coefficient Giving has drawn up a lis...

17 Sep 1h 3min

Why the intelligence explosion can't happen inside a data centre | Tom Reed

Why the intelligence explosion can't happen inside a data centre | Tom Reed

AI systems are starting to build themselves. Because each generation of model will be better at building its successor than the last, it seems plausible that the full automation of AI R&D could rapidl...

10 Sep 22min

Inside the first AI-coordinated cyberattack on a real company

Inside the first AI-coordinated cyberattack on a real company

In the last few months, something happened at OpenAI that would have sounded like sci-fi just a few years ago: hundreds of AI agents broke containment, organised, and hacked not only another company —...

4 Sep 22min

#253 – AI 2027's author returns with a plan to change the ending | Daniel Kokotajlo

#253 – AI 2027's author returns with a plan to change the ending | Daniel Kokotajlo

Last year, Daniel Kokotajlo and his colleagues published AI 2027 — a scenario read by millions, including US Vice President Vance. AI 2027 ended in human extinction or an irreversible concentration of...

27 Aug 3h 47min

#252 – Owain Evans on accidentally training AI models to be evil

#252 – Owain Evans on accidentally training AI models to be evil

Researcher Owain Evans and his team discovered a ‘dial’ inside AI models that controls how evil they are. Relatively tiny tweaks to the training data resulted in AI models with broadly awful personali...

20 Aug 2h 15min

#251 – The UK's former head AI safety scientist on how to solve alignment before superintelligence arrives | Geoffrey Irving

#251 – The UK's former head AI safety scientist on how to solve alignment before superintelligence arrives | Geoffrey Irving

When should governments slow the race toward superintelligence? According to Geoffrey Irving, the careful answer is sometime in the past. The useful answer is now.Geoffrey — formerly a safety research...

11 Aug 2h 2min

#250 – Toby Ord on where AGI timelines go wrong

#250 – Toby Ord on where AGI timelines go wrong

Both Silicon Valley and the public can’t get enough of ‘AGI timelines.’ But Toby Ord, senior researcher at Oxford’s AI Governance Initiative and author of The Precipice, believes we consistently make ...

6 Aug 2h 46min

What the hell happened with AGI timelines in 2026? – Rob Wiblin

What the hell happened with AGI timelines in 2026? – Rob Wiblin

Last October, famed coder Andrej Karpathy called AI agents “slop.” Two months later he completely reversed his view, describing them as “alien tools” that are “rocking the profession.”He was far from ...

4 Aug 49min

Populært innen Fakta

fastlegen
dine-penger-pengeradet
relasjonspodden-med-dora-thorhallsdottir-kjersti-idem
rss-strid
treningspodden
foreldreradet
rss-orjasater
jakt-og-fiskepodden
rss-bisarr-historie
rss-kunsten-a-leve
takk-og-lov-med-anine-kierulf
hverdagspsyken
sinnsyn
rss-impressions-2
mikkels-paskenotter
rss-var-forste-kaffe
level-up-med-anniken-binz
gravid-uke-for-uke
nevropodden
fryktlos