Science Friction has a new series: Cooked. We dig into food science pickles. Why are studies showing that ice cream could be good for you? Do we really need as many electrolytes as the internet says? And why are people feeling good on the carnivore diet? Nutrition and food scientist Dr Emma Beckett takes us through what the evidence says about food categories and ingredients like meat, dairy and salt — and unpick why nutrition studies can be so conflicting and confusing. Airs Wednesday 11:30 ...
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Episode 36: Leges Eponymae
MP3•Episodio en casa
Manage episode 423584160 series 3449375
Contenido proporcionado por Smriti Mehta and Daniël Lakens, Smriti Mehta, and Daniël Lakens. Todo el contenido del podcast, incluidos episodios, gráficos y descripciones de podcast, lo carga y proporciona directamente Smriti Mehta and Daniël Lakens, Smriti Mehta, and Daniël Lakens o su socio de plataforma de podcast. Si cree que alguien está utilizando su trabajo protegido por derechos de autor sin su permiso, puede seguir el proceso descrito aquí https://es.player.fm/legal.
In this episode, we discuss a fun mix of eponymous laws, which are laws named after individuals who postulate them.
Shownotes
- Campbell, D. T. (1979). Assessing the impact of planned social change. Evaluation and Program Planning, 2(1), 67–90. https://doi.org/10.1016/0149-7189(79)90048-X
- Merton, R. K. (1995). The Thomas Theorem and the Matthews Effect. Social Forces, 74(2), 379–422.
- Stigler, S. M. (1980). Stigler’s Law of Eponymy*. Transactions of the New York Academy of Sciences, 39(1 Series II), 147–157. https://doi.org/10.1111/j.2164-0947.1980.tb02775.x
- Clarke, A. C. (Arthur C. (1962). Profiles of the future: An inquiry into the limits of the possible. New York : Bantam Books. http://archive.org/details/profilesoffuture00clar
- Brandolini’s Law: Based on a tweet, after reading Kahneman Thinking fast and slow: https://twitter.com/ziobrando/status/289635060758507521
- Preston, I. L. (1980). Researchers at the Federal Trade Commission—Peril and Promise. Current Issues and Research in Advertising, 3(1), 1–15.
- Twyman’s Law: “The more unusual or interesting the data, the more likely they are to have been the result of an error of one kind or another.” Earliest scholarly reference is in Journal of the Royal Statistical Society, Series A, Vol 138, No 4, 1975. The Teaching of Statistics by A. S. C. Ehrenberg.
- Bloch, A. (1990). Murphy's law complete: All the reasons why everything goes wrong. Arrow Books Limited.
69 episodios
MP3•Episodio en casa
Manage episode 423584160 series 3449375
Contenido proporcionado por Smriti Mehta and Daniël Lakens, Smriti Mehta, and Daniël Lakens. Todo el contenido del podcast, incluidos episodios, gráficos y descripciones de podcast, lo carga y proporciona directamente Smriti Mehta and Daniël Lakens, Smriti Mehta, and Daniël Lakens o su socio de plataforma de podcast. Si cree que alguien está utilizando su trabajo protegido por derechos de autor sin su permiso, puede seguir el proceso descrito aquí https://es.player.fm/legal.
In this episode, we discuss a fun mix of eponymous laws, which are laws named after individuals who postulate them.
Shownotes
- Campbell, D. T. (1979). Assessing the impact of planned social change. Evaluation and Program Planning, 2(1), 67–90. https://doi.org/10.1016/0149-7189(79)90048-X
- Merton, R. K. (1995). The Thomas Theorem and the Matthews Effect. Social Forces, 74(2), 379–422.
- Stigler, S. M. (1980). Stigler’s Law of Eponymy*. Transactions of the New York Academy of Sciences, 39(1 Series II), 147–157. https://doi.org/10.1111/j.2164-0947.1980.tb02775.x
- Clarke, A. C. (Arthur C. (1962). Profiles of the future: An inquiry into the limits of the possible. New York : Bantam Books. http://archive.org/details/profilesoffuture00clar
- Brandolini’s Law: Based on a tweet, after reading Kahneman Thinking fast and slow: https://twitter.com/ziobrando/status/289635060758507521
- Preston, I. L. (1980). Researchers at the Federal Trade Commission—Peril and Promise. Current Issues and Research in Advertising, 3(1), 1–15.
- Twyman’s Law: “The more unusual or interesting the data, the more likely they are to have been the result of an error of one kind or another.” Earliest scholarly reference is in Journal of the Royal Statistical Society, Series A, Vol 138, No 4, 1975. The Teaching of Statistics by A. S. C. Ehrenberg.
- Bloch, A. (1990). Murphy's law complete: All the reasons why everything goes wrong. Arrow Books Limited.
69 episodios
Усі епізоди
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