#77 – Marc Lipsitch on whether we're winning or losing against COVID-19

#77 – Marc Lipsitch on whether we're winning or losing against COVID-19

In March Professor Marc Lipsitch — Director of Harvard's Center for Communicable Disease Dynamics — abruptly found himself a global celebrity, his social media following growing 40-fold and journalists knocking down his door, as everyone turned to him for information they could trust.

Here he lays out where the fight against COVID-19 stands today, why he's open to deliberately giving people COVID-19 to speed up vaccine development, and how we could do better next time.

As Marc tells us, island nations like Taiwan and New Zealand are successfully suppressing SARS-COV-2. But everyone else is struggling.

Links to learn more, summary and full transcript.

Even Singapore, with plenty of warning and one of the best test and trace systems in the world, lost control of the virus in mid-April after successfully holding back the tide for 2 months.

This doesn't bode well for how the US or Europe will cope as they ease their lockdowns. It also suggests it would have been exceedingly hard for China to stop the virus before it spread overseas.

But sadly, there's no easy way out.

The original estimates of COVID-19's infection fatality rate, of 0.5-1%, have turned out to be basically right. And the latest serology surveys indicate only 5-10% of people in countries like the US, UK and Spain have been infected so far, leaving us far short of herd immunity. To get there, even these worst affected countries would need to endure something like ten times the number of deaths they have so far.

Marc has one good piece of news: research suggests that most of those who get infected do indeed develop immunity, for a while at least.

To escape the COVID-19 trap sooner rather than later, Marc recommends we go hard on all the familiar options — vaccines, antivirals, and mass testing — but also open our minds to creative options we've so far left on the shelf.

Despite the importance of his work, even now the training and grant programs that produced the community of experts Marc is a part of, are shrinking. We look at a new article he's written about how to instead build and improve the field of epidemiology, so humanity can respond faster and smarter next time we face a disease that could kill millions and cost tens of trillions of dollars.

We also cover:

• How listeners might contribute as future contagious disease experts, or donors to current projects
• How we can learn from cross-country comparisons
• Modelling that has gone wrong in an instructive way
• What governments should stop doing
• How people can figure out who to trust, and who has been most on the mark this time
• Why Marc supports infecting people with COVID-19 to speed up the development of a vaccines
• How we can ensure there's population-level surveillance early during the next pandemic
• Whether people from other fields trying to help with COVID-19 has done more good than harm
• Whether it's experts in diseases, or experts in forecasting, who produce better disease forecasts

Chapters:

  • Rob’s intro (00:00:00)
  • The interview begins (00:01:45)
  • Things Rob wishes he knew about COVID-19 (00:05:23)
  • Cross-country comparisons (00:10:53)
  • Any government activities we should stop? (00:21:24)
  • Lessons from COVID-19 (00:33:31)
  • Global catastrophic biological risks (00:37:58)
  • Human challenge trials (00:43:12)
  • Disease surveillance (00:50:07)
  • Who should we trust? (00:58:12)
  • Epidemiology as a field (01:13:05)
  • Careers (01:31:28)


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

Avsnitt(321)

#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 Juli 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 Juli 20254h 26min

#220 – Ryan Greenblatt on the 4 most likely ways for AI to take over, and the case for and against AGI in <8 years

#220 – Ryan Greenblatt on the 4 most likely ways for AI to take over, and the case for and against AGI in <8 years

Ryan Greenblatt — lead author on the explosive paper “Alignment faking in large language models” and chief scientist at Redwood Research — thinks there’s a 25% chance that within four years, AI will b...

8 Juli 20252h 50min

#219 – Toby Ord on graphs AI companies would prefer you didn't (fully) understand

#219 – Toby Ord on graphs AI companies would prefer you didn't (fully) understand

The era of making AI smarter just by making it bigger is ending. But that doesn’t mean progress is slowing down — far from it. AI models continue to get much more powerful, just using very different m...

24 Juni 20252h 48min

#218 – Hugh White on why Trump is abandoning US hegemony – and that’s probably good

#218 – Hugh White on why Trump is abandoning US hegemony – and that’s probably good

For decades, US allies have slept soundly under the protection of America’s overwhelming military might. Donald Trump — with his threats to ditch NATO, seize Greenland, and abandon Taiwan — seems hell...

12 Juni 20252h 48min

#217 – Beth Barnes on the most important graph in AI right now — and the 7-month rule that governs its progress

#217 – Beth Barnes on the most important graph in AI right now — and the 7-month rule that governs its progress

AI models today have a 50% chance of successfully completing a task that would take an expert human one hour. Seven months ago, that number was roughly 30 minutes — and seven months before that, 15 mi...

2 Juni 20253h 47min

Populärt inom Utbildning

historiepodden-se
rss-bara-en-till-om-missbruk-medberoende-2
det-skaver
nu-blir-det-historia
alska-oss
sektledare
not-fanny-anymore
johannes-hansen-podcast
rss-viktmedicinpodden
harrisons-dramatiska-historia
roda-vita-rosen
rss-sjalsligt-avkladd
sa-in-i-sjalen
rss-max-tant-med-max-villman
allt-du-velat-veta
rikatillsammans-om-privatekonomi-rikedom-i-livet
rss-beratta-alltid-det-har
i-vantan-pa-katastrofen
sektpodden
nar-man-talar-om-trollen