References

Episodes 13 and 14

References

D. Huff, I. Geis (1993). How to Lie with Statistics, Reissue edition. W.W. Norton & Company.

This image summarises the discussion about the sample space, the event space (which is assumed to be a sigma-algebra on the sample space), and the probability measure. I also provide the example we have seen in the podcast (mainly Episode 14).

You can find the pdf here.

Episodes 11 and 12

References

The Ludwig Wittgenstein Project: https://www.wittgensteinproject.org
J.M. Keynes (1921). Treatise on Probability. MacMillan and Co. Available here.
A.N. Kolmogorov (1950). Foundations of the Theory of Probability. Chelsea Publishing. Available here.
W.C. Salmon (1967). The Foundations of Scientific Inference. University of Pittsburgh Press.

Episodes 9 and 10

References

Bruno de Finetti (2017). Theory of Probability: A Critical Introductory Treatment. Wiley.
Gerd Gigerenzer (2015). Risk Savvy: How to Make Good Decisions. Penguin Books.
Richard Jeffrey (2004). Subjective Probability: the Real Thing. Cambridge University Press.
Frank Ramsey (1926). Truth and Probability. Available here.
Leonard Savage (1954). The Foundations of Statistics. Dover.
Nassim N. Taleb (2017). Skin in the game. Penguin Books.

Regarding Bruno de Finetti, I also suggest checking this great website: www.brunodefinetti.it

Episodes 7 and 8

References

Donald Gillies (2000). Varieties of Propensity. The British Journal for the Philosophy of Science 51, 807-835. Available here.
Karl Popper (1953). The Propensity Interpretation of Probability. The British Journal for the Philosophy of Science 10, 25-42. Available here.

Episodes 5 and 6

References

Donald A. Gillies (1973). An Objective Theory of Probability. Routledge.
John Venn (1888) The Logic of Chance, 3rd edition. Freely available here.
Richard von Mises (1981). Probability, Statistics, and Truth. Dover.

Episode 3

References

Edwin T. Jaynes (2003). Probability Theory: The Logic of Science. Cambridge University Press.
Nassim N. Taleb (2005). Fooled by Randomness: The Hidden Role of Chance in Life and in the Markets. Random House.

Risk is in the subject

Episodes 13 and 14

Episodes 11 and 12

Episodes 9 and 10

Episodes 7 and 8

Episodes 5 and 6

Episode 3