The Logic of Risk – Details, episodes & analysis

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The Logic of Risk

The Logic of Risk

Pasquale Cirillo

Science

Frequency: 1 episode/9d. Total Eps: 18

Spreaker
A podcast about risk, probability, philosophy and data science.

Become a supporter of this podcast: https://www.spreaker.com/podcast/the-logic-of-risk--6469023/support.
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  • šŸ‡ØšŸ‡¦ Canada - mathematics

    14/08/2025
    #38
  • šŸ‡¬šŸ‡§ Great Britain - mathematics

    14/08/2025
    #37
  • šŸ‡©šŸ‡Ŗ Germany - mathematics

    14/08/2025
    #21
  • šŸ‡ŗšŸ‡ø USA - mathematics

    14/08/2025
    #59
  • šŸ‡ØšŸ‡¦ Canada - mathematics

    13/08/2025
    #37
  • šŸ‡¬šŸ‡§ Great Britain - mathematics

    13/08/2025
    #36
  • šŸ‡©šŸ‡Ŗ Germany - mathematics

    13/08/2025
    #23
  • šŸ‡ŗšŸ‡ø USA - mathematics

    13/08/2025
    #55
  • šŸ‡ØšŸ‡¦ Canada - mathematics

    12/08/2025
    #34
  • šŸ‡¬šŸ‡§ Great Britain - mathematics

    12/08/2025
    #36

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Score global : 69%


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LOR1: What is risk?

Season 1 Ā· Episode 1

samedi 4 janvier 2025 • Duration 15:27

Welcome to Episode 1 of The Logic of Risk.
In this introductory segment, we will begin by defining ā€œriskā€ and uncovering why it’s far more nuanced than most people typically think.
Are you ready to take the risk?

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LOR2: Harm as a component of risk

Season 1 Ā· Episode 2

samedi 11 janvier 2025 • Duration 18:21

In this episode, we dive into the concept of harm, a fundamental component of risk—how can we understand, measure, and even rank it? We will break down its key dimensions and talk about a possible hierarchy.
Starting today, you’ll find some bonus materials waiting for you atĀ www.thelogicofrisk.com. For Episode 2, there’s a picture ready for you to check out. Don’t miss it!

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LOR3: The possibility of harm, or an intro to probability

Season 1 Ā· Episode 3

samedi 18 janvier 2025 • Duration 18:07

After defining risk as the possibility of harm in Episode 1 and exploring the harm profile in Episode 2, we now turn our attention to the concept of possibility. To that end, we introduce probability as a way to assess possibility. This episode serves as an essential introduction to the various schools of thought on probability, which we will cover in the next episodes.

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LOR4: The classical definition of probability

Season 1 Ā· Episode 4

samedi 25 janvier 2025 • Duration 15:41

In this episode, we provide an introduction to probability by exploring the classical definition, a concept rooted in the Renaissance and often used for pedagogical purposes.Ā While historically significant, it has limitations in real-life applications.
We'll also delve into key concepts in probability theory, including the sample space, event space, mutually exclusive events, and independence.
Are you ready to take the risk?

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LOR5: Moving toward Frequentism

Season 1 Ā· Episode 5

samedi 1 fĆ©vrier 2025 • Duration 17:41

Welcome to the fifth episode of The Logic of Risk. After introducing the classical definition, we begin a review of the main schools of thought in probability. We’ll see that some are objectivist and others are subjectivist, plus a few that position themselves somewhere in between. Among the objectivist schools, we’ll introduce the most commonly used (and abused) one: the frequentist school.
Are you ready to take the risk?

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LOR6: Frequentism, its pros and its cons

Season 1 Ā· Episode 6

samedi 8 fĆ©vrier 2025 • Duration 15:05

In this episode, we delve deeper into the frequentist definition of probability, showing how probabilities emerge from limiting relative frequencies. We discuss why this approach can be useful for mass random phenomena but falls short for single or rare events—especially in risk management contexts involving heavy-tailed risks. Through examples, we highlight the dangers of relying solely on historical data and underscore the need for more robust tools to capture the true nature of randomness.

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LOR7: Probability as propensity

Season 1 Ā· Episode 7

samedi 15 fĆ©vrier 2025 • Duration 16:15

In this episode, we move beyond the classical and frequentist definitions of probability to explore the propensity interpretation.
We examine how Peirce and Popper viewed probability as an objective tendency of random phenomena.
While this approach offers an interesting perspective, and it can be useful in fields like quantum mechanics, it also raises challenges, especially when dealing with single events.Ā 
We also discuss historical bias and its impact on risk management and financial decision-making.

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LOR8: Propensity in play, from quantum mechanics to one-shot events

Season 1 Ā· Episode 8

samedi 22 fĆ©vrier 2025 • Duration 18:55

In this episode of The Logic of Risk, we continue our discussion on the propensity interpretation of probability. We start by showing how Popper thought propensity could cope with the peculiar uncertainty of quantum mechanics, as well as with the problem of one-shot events, which frequentism could not handle.
We then briefly touch Gillies' view, and introduce the reference class problem we will encounter often in our future conversations.
Ready to take the risk?

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LOR9: Probability does not exist, or the subjectivist approach

Season 1 Ā· Episode 9

samedi 1 mars 2025 • Duration 18:33

We introduce the subjectivist perspective on probability, featuring thinkers like Bruno de Finetti, Frank Ramsey, and Leonard Savage, who argue that probability is not an objective entity but rather something we invent to manage uncertainty arising from our limited knowledge.
De Finetti’s ā€œbettingā€ approach interprets probability as the price one would pay for a chance to win a fixed payoff, showing how different beliefs produce different numerical values.
From Laplace’s demon to everyday life, the notion of chance emerges because our knowledge is partial, compelling us to create probability and risk rather than discover them as objective realities.Ā 
Are you ready to take the (subjective) risk?

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LOR10: Fighting the hydra of frequentism, or why subjectivism is preferable

Season 1 Ā· Episode 10

samedi 8 mars 2025 • Duration 14:40

In this episode, we delve into subjective probability by drawing on Bruno de Finetti’s ideas. We show how viewing probability as a fair bet may lead to coherent estimates. We discuss how de Finetti challenges the circular and limiting nature of the classical and frequentist definitions, arguing that personal judgment, informed by data, experts, and even intuition, is key.
We also covers advanced ideas like Jeffrey's radical probabilism, ultimately emphasizing the need for continuous learning and humility in decision-making.Ā 
Are you ready to take the risk?

Become a supporter of this podcast: https://www.spreaker.com/podcast/the-logic-of-risk--6469023/support.

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