What are the key takeaways from this Making Sense episode?

Key insights include: **Virus Hunting Risk Calculus:** Extracting unknown pathogens from isolated bat caves and bushmeat markets in 12 developing countries to bring into urban laboratories increases pandemic risk rather than reducing it. Every biosecurity level of laboratory demonstrably leaks at unknown rates, making remote caves statistically safer containment environments than staffed research facilities in dense population centers.; **Characterization Without Utility:** Identifying which of 10,000 novel viruses are pandemic-grade produces knowledge with no actionable defensive value. Vaccine candidates cannot be validated without outbreak data or human challenge trials, yet a publicized dangerous pathogen triggers global research interest, spreading study of that agent across lower-security BSL-2 and BSL-3 labs worldwide.; **Genome Publication Threat Multiplier:** Publishing genomes of the most lethal identified viruses to the public — Deep Vision's third planned phase — would have provided synthesis blueprints to an estimated 30,000 individuals globally who already possessed the tools and knowledge for reverse genetics viral reconstruction, effectively distributing nuclear-arsenal-scale destructive capacity to unvetted actors.

What did Rob Reid discuss on Making Sense?

Sam Harris and venture capitalist Rob Reid recount how a $125 million USAID program called Deep Vision — designed to hunt 10,000 unknown viruses, characterize the deadliest ones, and publish their genomes publicly — was identified as a civilization-scale biosecurity threat and ultimately shut down by September 2023. Key topics include: **Virus Hunting Risk Calculus:** Extracting unknown pathogens from isolated bat caves and bushmeat markets in 12 developing countries to bring into urban laboratories increases pandemic risk rather than reducing it. Every biosecurity level of laboratory demonstrably leaks at unknown rates, making remote caves statistically safer containment environments than staffed research facilities in dense population centers.; **Characterization Without Utility:** Identifying which of 10,000 novel viruses are pandemic-grade produces knowledge with no actionable defensive value. Vaccine candidates cannot be validated without outbreak data or human challenge trials, yet a publicized dangerous pathogen triggers global research interest, spreading study of that agent across lower-security BSL-2 and BSL-3 labs worldwide..

How long is this episode of Making Sense?

This episode is 21 minutes long. SignalCast provides an AI-generated summary so you can get the key insights in about 3 minutes.

Making Sense

#463 — Privatizing the Apocalypse

March 11, 2026

21 min episode · 2 min read

Rob Reid

Episode

21 min

Read time

2 min

Topics

Fundraising & VC, Design & UX, Science & Discovery

AI-Generated Summary

Published Mar 12, 2026

Key Takeaways

✓Virus Hunting Risk Calculus: Extracting unknown pathogens from isolated bat caves and bushmeat markets in 12 developing countries to bring into urban laboratories increases pandemic risk rather than reducing it. Every biosecurity level of laboratory demonstrably leaks at unknown rates, making remote caves statistically safer containment environments than staffed research facilities in dense population centers.
✓Characterization Without Utility: Identifying which of 10,000 novel viruses are pandemic-grade produces knowledge with no actionable defensive value. Vaccine candidates cannot be validated without outbreak data or human challenge trials, yet a publicized dangerous pathogen triggers global research interest, spreading study of that agent across lower-security BSL-2 and BSL-3 labs worldwide.
✓Genome Publication Threat Multiplier: Publishing genomes of the most lethal identified viruses to the public — Deep Vision's third planned phase — would have provided synthesis blueprints to an estimated 30,000 individuals globally who already possessed the tools and knowledge for reverse genetics viral reconstruction, effectively distributing nuclear-arsenal-scale destructive capacity to unvetted actors.
✓Multi-Pathogen Simultaneous Release Scenario: COVID-19 spread from a single origin at roughly 4.5 miles per hour, taking two months to reach the US. A coordinated release of seven pandemic-grade pathogens from 20 airports simultaneously would overwhelm diagnostic capacity, produce co-infections, and collapse frontline workforce participation, triggering cascading failures in food supply, law enforcement, and infrastructure.
✓Coalition-Building Model for Biosecurity Advocacy: Reid's campaign against Deep Vision succeeded by assembling a deliberately nonpartisan coalition — including Daniel Schmachtenberger, Tristan Harris, Helena Group, Chelsea Clinton, Lindsey Graham, James Risch, and Rand Paul — applying pressure from multiple simultaneous directions. The program was first defanged operationally, then formally terminated, demonstrating that quiet multi-stakeholder coordination outperforms single-channel advocacy.

What It Covers

Sam Harris and venture capitalist Rob Reid recount how a $125 million USAID program called Deep Vision — designed to hunt 10,000 unknown viruses, characterize the deadliest ones, and publish their genomes publicly — was identified as a civilization-scale biosecurity threat and ultimately shut down by September 2023.

Key Questions Answered

•Virus Hunting Risk Calculus: Extracting unknown pathogens from isolated bat caves and bushmeat markets in 12 developing countries to bring into urban laboratories increases pandemic risk rather than reducing it. Every biosecurity level of laboratory demonstrably leaks at unknown rates, making remote caves statistically safer containment environments than staffed research facilities in dense population centers.
•Characterization Without Utility: Identifying which of 10,000 novel viruses are pandemic-grade produces knowledge with no actionable defensive value. Vaccine candidates cannot be validated without outbreak data or human challenge trials, yet a publicized dangerous pathogen triggers global research interest, spreading study of that agent across lower-security BSL-2 and BSL-3 labs worldwide.
•Genome Publication Threat Multiplier: Publishing genomes of the most lethal identified viruses to the public — Deep Vision's third planned phase — would have provided synthesis blueprints to an estimated 30,000 individuals globally who already possessed the tools and knowledge for reverse genetics viral reconstruction, effectively distributing nuclear-arsenal-scale destructive capacity to unvetted actors.
•Multi-Pathogen Simultaneous Release Scenario: COVID-19 spread from a single origin at roughly 4.5 miles per hour, taking two months to reach the US. A coordinated release of seven pandemic-grade pathogens from 20 airports simultaneously would overwhelm diagnostic capacity, produce co-infections, and collapse frontline workforce participation, triggering cascading failures in food supply, law enforcement, and infrastructure.
•Coalition-Building Model for Biosecurity Advocacy: Reid's campaign against Deep Vision succeeded by assembling a deliberately nonpartisan coalition — including Daniel Schmachtenberger, Tristan Harris, Helena Group, Chelsea Clinton, Lindsey Graham, James Risch, and Rand Paul — applying pressure from multiple simultaneous directions. The program was first defanged operationally, then formally terminated, demonstrating that quiet multi-stakeholder coordination outperforms single-channel advocacy.

Notable Moment

Reid notes that in 2021, fewer than ten entities worldwide had the budget, scientific access, and international partnerships needed to conceive and execute something as destructive as Deep Vision — and one of them did, composed entirely of well-intentioned people with no awareness of the risk they were creating.

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Episode Transcript

Welcome to the Making Sense podcast. This is Sam Harris. Just a note to say that if you're hearing this, you're not currently on our subscriber feed and will only be hearing the first part of this conversation. In order to access full episodes of the Making Sense podcast, you'll need to subscribe at samharris.org. We don't run ads on the podcast, and therefore it's made possible entirely through the support of our subscribers, so if you enjoy what we're doing here, please consider becoming one. Okay. Rob Reid, thanks for coming back on the podcast. It's good to be back. So, we've done yeah. You probably have a better count of the number of podcasts we've done on this topic than I do. I mean, you we did one that was a very deep dive that was, you know, more highly produced where it was almost like your audiobook framed by our podcast conversation. But we share this concern around biosecurity and pandemic risk and bioterrorism. And you have an update for us on, the fate of the Deep Vision project. Yes. But before we jump into that, just remind people how you got to this topic. What do you, how did you come to be focused on this, and and how much of your bandwidth has it taken? Yeah. Yeah. Yeah. Well, my my full time job is in venture capital. I run a a fund that invests in companies that we think will make the world more resilient in some important way. Mhmm. Fabulous job. I do it with a gentleman that you know very well, Chris Anderson of TED fame. Yeah. So that's my full time job. In this case, I I have been I guess my public service, you know, side of life, voluntary side of life, has been focused entirely on BioRisk for about a decade. It started when I was writing a sci fi novel called After On, and that had a subplot in it about a nihilistic kind of cult that thought it would please god tremendously if they killed every person on Earth. It wasn't the center of the book. And so they use synthetic biology, which I'll abbreviate to synbio just to make, you know, save us some syllables Yeah. To come up with a an omnicidal pathogen that could hopefully do that. And that started me worrying about this particular category of risk. And you gave a TED talk. On the podcast. That that was a couple dominos later. So I, I started worrying about this category of risk. I interviewed scientists in order to write this book accurately. And then, I started a podcast called After On, same title. And I explored the the topic there, including an interview with, brilliant person that I'm sure a lot of your listeners know, Naval Ravikant. And we talked about that, and that was about 10 before the TED conference. So the TED folks called me up, said, would you like …

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