#43 - Daniel Ellsberg on the institutional insanity that maintains nuclear doomsday machines

#43 - Daniel Ellsberg on the institutional insanity that maintains nuclear doomsday machines

In Stanley Kubrick’s iconic film Dr. Strangelove, the American president is informed that the Soviet Union has created a secret deterrence system which will automatically wipe out humanity upon detection of a single nuclear explosion in Russia. With US bombs heading towards the USSR and unable to be recalled, Dr Strangelove points out that “the whole point of this Doomsday Machine is lost if you keep it a secret – why didn’t you tell the world, eh?” The Soviet ambassador replies that it was to be announced at the Party Congress the following Monday: “The Premier loves surprises”.

Daniel Ellsberg - leaker of the Pentagon Papers which helped end the Vietnam War and Nixon presidency - claims in his new book The Doomsday Machine: Confessions of a Nuclear War Planner that Dr. Strangelove might as well be a documentary. After attending the film in Washington DC in 1964, he and a colleague wondered how so many details of their nuclear planning had leaked.

Links to learn more, summary and full transcript.

The USSR did in fact develop a doomsday machine, Dead Hand, which probably remains active today.

If the system can’t contact military leaders, it checks for signs of a nuclear strike, and if it detects them, automatically launches all remaining Soviet weapons at targets across the northern hemisphere.

As in the film, the Soviet Union long kept Dead Hand completely secret, eliminating any strategic benefit, and rendering it a pointless menace to humanity.

You might think the United States would have a more sensible nuclear launch policy. You’d be wrong.

As Ellsberg explains, based on first-hand experience as a nuclear war planner in the 50s, that the notion that only the president is able to authorize the use of US nuclear weapons is a carefully cultivated myth.

The authority to launch nuclear weapons is delegated alarmingly far down the chain of command – significantly raising the chance that a lone wolf or communication breakdown could trigger a nuclear catastrophe.

The whole justification for this is to defend against a ‘decapitating attack’, where a first strike on Washington disables the ability of the US hierarchy to retaliate. In a moment of crisis, the Russians might view this as their best hope of survival.

Ostensibly, this delegation removes Russia’s temptation to attempt a decapitating attack – the US can retaliate even if its leadership is destroyed. This strategy only works, though, if the tell the enemy you’ve done it.

Instead, since the 50s this delegation has been one of the United States most closely guarded secrets, eliminating its strategic benefit, and rendering it another pointless menace to humanity.

Strategically, the setup is stupid. Ethically, it is monstrous.

So – how was such a system built? Why does it remain to this day? And how might we shrink our nuclear arsenals to the point they don’t risk the destruction of civilization?

Daniel explores these questions eloquently and urgently in his book. Today we cover:

* Why full disarmament today would be a mistake and the optimal number of nuclear weapons to hold
* How well are secrets kept in the government?
* What was the risk of the first atomic bomb test?
* The effect of Trump on nuclear security
* Do we have a reliable estimate of the magnitude of a ‘nuclear winter’?
* Why Gorbachev allowed Russia’s covert biological warfare program to continue

Get this episode by subscribing: type 80,000 Hours into your podcasting app.

The 80,000 Hours Podcast is produced by Keiran Harris.

Episoder(325)

#225 – Daniel Kokotajlo on what a hyperspeed robot economy might look like

#225 – Daniel Kokotajlo on what a hyperspeed robot economy might look like

When Daniel Kokotajlo talks to security experts at major AI labs, they tell him something chilling: “Of course we’re probably penetrated by the CCP already, and if they really wanted something, they c...

27 Okt 20252h 12min

#224 – There's a cheap and low-tech way to save humanity from any engineered disease | Andrew Snyder-Beattie

#224 – There's a cheap and low-tech way to save humanity from any engineered disease | Andrew Snyder-Beattie

Conventional wisdom is that safeguarding humanity from the worst biological risks — microbes optimised to kill as many as possible — is difficult bordering on impossible, making bioweapons humanity’s ...

2 Okt 20252h 31min

Inside the Biden admin’s AI policy approach | Jake Sullivan, Biden’s NSA | via The Cognitive Revolution

Inside the Biden admin’s AI policy approach | Jake Sullivan, Biden’s NSA | via The Cognitive Revolution

Jake Sullivan was the US National Security Advisor from 2021-2025. He joined our friends on The Cognitive Revolution podcast in August to discuss AI as a critical national security issue. We thought i...

26 Sep 20251h 5min

#223 – Neel Nanda on leading a Google DeepMind team at 26 – and advice if you want to work at an AI company (part 2)

#223 – Neel Nanda on leading a Google DeepMind team at 26 – and advice if you want to work at an AI company (part 2)

At 26, Neel Nanda leads an AI safety team at Google DeepMind, has published dozens of influential papers, and mentored 50 junior researchers — seven of whom now work at major AI companies. His secret?...

15 Sep 20251h 46min

#222 – Can we tell if an AI is loyal by reading its mind? DeepMind's Neel Nanda (part 1)

#222 – Can we tell if an AI is loyal by reading its mind? DeepMind's Neel Nanda (part 1)

We don’t know how AIs think or why they do what they do. Or at least, we don’t know much. That fact is only becoming more troubling as AIs grow more capable and appear on track to wield enormous cultu...

8 Sep 20253h 1min

#221 – Kyle Fish on the most bizarre findings from 5 AI welfare experiments

#221 – Kyle Fish on the most bizarre findings from 5 AI welfare experiments

What happens when you lock two AI systems in a room together and tell them they can discuss anything they want?According to experiments run by Kyle Fish — Anthropic’s first AI welfare researcher — som...

28 Aug 20252h 28min

How not to lose your job to AI (article by Benjamin Todd)

How not to lose your job to AI (article by Benjamin Todd)

About half of people are worried they’ll lose their job to AI. They’re right to be concerned: AI can now complete real-world coding tasks on GitHub, generate photorealistic video, drive a taxi more sa...

31 Jul 202551min

Rebuilding after apocalypse: What 13 experts say about bouncing back

Rebuilding after apocalypse: What 13 experts say about bouncing back

What happens when civilisation faces its greatest tests?This compilation brings together insights from researchers, defence experts, philosophers, and policymakers on humanity’s ability to survive and...

15 Jul 20254h 26min

Populært innen Fakta

fastlegen
dine-penger-pengeradet
relasjonspodden-med-dora-thorhallsdottir-kjersti-idem
treningspodden
foreldreradet
rss-strid-de-norske-borgerkrigene
rss-sunn-okonomi
jakt-og-fiskepodden
sinnsyn
takk-og-lov-med-anine-kierulf
rss-kunsten-a-leve
gravid-uke-for-uke
merry-quizmas
hverdagspsyken
hagespiren-podcast
smart-forklart
rss-kull
fryktlos
lederskap-nhhs-podkast-om-ledelse
hr-podden-2