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#46 (Bonus) - Arguing about probability (with Nick Anyos)

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Inhalt bereitgestellt von Ben Chugg and Vaden Masrani, Ben Chugg, and Vaden Masrani. Alle Podcast-Inhalte, einschließlich Episoden, Grafiken und Podcast-Beschreibungen, werden direkt von Ben Chugg and Vaden Masrani, Ben Chugg, and Vaden Masrani oder seinem Podcast-Plattformpartner hochgeladen und bereitgestellt. Wenn Sie glauben, dass jemand Ihr urheberrechtlich geschütztes Werk ohne Ihre Erlaubnis nutzt, können Sie dem hier beschriebenen Verfahren folgen https://de.player.fm/legal.

We make a guest appearance on Nick Anyos' podcast to talk about effective altruism, longtermism, and probability. Nick (very politely) pushes back on our anti-Bayesian credo, and we get deep into the weeds of probability and epistemology.

You can find Nick's podcast on institutional design here, and his substack here.

We discuss:

  • The lack of feedback loops in longtermism
  • Whether quantifying your beliefs is helpful
  • Objective versus subjective knowledge
  • The difference between prediction and explanation
  • The difference between Bayesian epistemology and Bayesian statistics
  • Statistical modelling and when statistics is useful

Links

  • Philosophy and the practice of Bayesian statistics by Andrew Gelman and Cosma Shalizi
  • EA forum post showing all forecasts beyond a year out are uncalibrated.
  • Vaclav smil quote where he predicts a pandemic by 2021:

    The following realities indicate the imminence of the risk. The typical frequency of influenza pan- demics was once every 50–60 years between 1700 and 1889 (the longest known gap was 52 years, between the pandemics of 1729–1733 and 1781–1782) and only once every 10–40 years since 1889. The recurrence interval, calculated simply as the mean time elapsed between the last six known pandemics, is about 28 years, with the extremes of 6 and 53 years. Adding the mean and the highest interval to 1968 gives a span between 1996 and 2021. We are, probabilistically speaking, very much inside a high-risk zone.

    - Global Catastropes and Trends, p.46

  • Reference for Tetlock's superforecasters failing to predict the pandemic. "On February 20th, Tetlock’s superforecasters predicted only a 3% chance that there would be 200,000+ coronavirus cases a month later (there were)."

Contact us

Errata

  • At the beginning of the episode Vaden says he hasn't been interviewed on another podcast before. He forgot his appearence on The Declaration Podcast in 2019, which will be appearing as a bonus episode on our feed in the coming weeks.

Sick of hearing us talk about this subject? Understandable! Send topic suggestions over to incrementspodcast@gmail.com.

Photo credit: James O’Brien for Quanta Magazine

Support Increments

  continue reading

76 Episoden

Artwork
iconTeilen
 
Manage episode 350219654 series 3418237
Inhalt bereitgestellt von Ben Chugg and Vaden Masrani, Ben Chugg, and Vaden Masrani. Alle Podcast-Inhalte, einschließlich Episoden, Grafiken und Podcast-Beschreibungen, werden direkt von Ben Chugg and Vaden Masrani, Ben Chugg, and Vaden Masrani oder seinem Podcast-Plattformpartner hochgeladen und bereitgestellt. Wenn Sie glauben, dass jemand Ihr urheberrechtlich geschütztes Werk ohne Ihre Erlaubnis nutzt, können Sie dem hier beschriebenen Verfahren folgen https://de.player.fm/legal.

We make a guest appearance on Nick Anyos' podcast to talk about effective altruism, longtermism, and probability. Nick (very politely) pushes back on our anti-Bayesian credo, and we get deep into the weeds of probability and epistemology.

You can find Nick's podcast on institutional design here, and his substack here.

We discuss:

  • The lack of feedback loops in longtermism
  • Whether quantifying your beliefs is helpful
  • Objective versus subjective knowledge
  • The difference between prediction and explanation
  • The difference between Bayesian epistemology and Bayesian statistics
  • Statistical modelling and when statistics is useful

Links

  • Philosophy and the practice of Bayesian statistics by Andrew Gelman and Cosma Shalizi
  • EA forum post showing all forecasts beyond a year out are uncalibrated.
  • Vaclav smil quote where he predicts a pandemic by 2021:

    The following realities indicate the imminence of the risk. The typical frequency of influenza pan- demics was once every 50–60 years between 1700 and 1889 (the longest known gap was 52 years, between the pandemics of 1729–1733 and 1781–1782) and only once every 10–40 years since 1889. The recurrence interval, calculated simply as the mean time elapsed between the last six known pandemics, is about 28 years, with the extremes of 6 and 53 years. Adding the mean and the highest interval to 1968 gives a span between 1996 and 2021. We are, probabilistically speaking, very much inside a high-risk zone.

    - Global Catastropes and Trends, p.46

  • Reference for Tetlock's superforecasters failing to predict the pandemic. "On February 20th, Tetlock’s superforecasters predicted only a 3% chance that there would be 200,000+ coronavirus cases a month later (there were)."

Contact us

Errata

  • At the beginning of the episode Vaden says he hasn't been interviewed on another podcast before. He forgot his appearence on The Declaration Podcast in 2019, which will be appearing as a bonus episode on our feed in the coming weeks.

Sick of hearing us talk about this subject? Understandable! Send topic suggestions over to incrementspodcast@gmail.com.

Photo credit: James O’Brien for Quanta Magazine

Support Increments

  continue reading

76 Episoden

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