
The Primacy of Doubt
From Quantum Physics to Climate Change, How the Science of Uncertainty Can Help Us Understand Our Chaotic World
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Narrado por:
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Tim Palmer
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De:
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Tim Palmer
Acerca de esta escucha
Why does your weather app say “there’s a 10 percent chance of rain” instead of “it will be sunny”? In large part, this is due to the insight of award-winning physicist Tim Palmer, who pioneered the introduction of uncertainty into weather and climate prediction.
Now, he wants to apply it to how we study everything else.
In The Primacy of Doubt, Palmer gives us a revolutionary vision of mathematical uncertainty that provides new insights into a range of practical problems and some of the deepest questions in science and philosophy. He draws connections that are in equal parts unexpected and fascinating: how ensemble forecasts can predict unpredictability, how the brain uses noise for creative thinking, how the geometry of chaos forces us to rewrite the laws of quantum mechanics, and in so doing reconciles determinism, free will, and moral responsibility.
A tour de force from a brilliant mind, The Primacy of Doubt shows that the fundamental law of the universe might just be to expect the unexpected.
©2022 Tim Palmer (P)2022 Recorded BooksLos oyentes también disfrutaron...
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Lo que los oyentes dicen sobre The Primacy of Doubt
Calificaciones medias de los clientesReseñas - Selecciona las pestañas a continuación para cambiar el origen de las reseñas.
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- Jacob Brenner
- 04-28-23
2/3 great science, 1/3 fun speculation
The application of nonlinear dynamics and chaos theory, primarily to weather and climate. The last third is very speculative and fun to think about, but even Palmer notes that this is currently unconstrained speculation. Also a very clear eyed view on human-induced climate change.
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- Eli L
- 07-09-24
Great
Loved the listen. Digestible but likely requires a bit of prior knowledge on some of the topics. Author does a great job breaking things down.
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- @DrCarlHoffman
- 02-03-23
Regarding God
He basically explains process theology in the last chapter. Although it is not published, I wrote a book on this subject.
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esto le resultó útil a 3 personas
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- James S.
- 03-10-23
Applied chaos theory; beware of quantum quackery
The author defended his physics PhD thesis on general relativity, but then switched to weather modelling where he made some important discoveries; e.g. the significance of large-scale atmospheric waves on climate.
He discusses many applications of nonlinear dynamics (aka chaos), e.g. in climate modelling, the spread of covid, etc. This part of the book is great.
He eventually meanders off into what many physicists would consider "the weeds" with discussions on consciousness and untestable connections between chaos and quantum mechanics. I don't think he made a very persuasive argument regarding the later, but it seems he ran out of space in the book to delve much deeper.
A good pop-sci book, with plenty of learning and edutainment to be had by all.
The book is well written, and equally well narrated by the author.
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- Cara Rhoades
- 10-01-23
Excellent critical thinking fuel
Including uncertainty as a value-adding component of reasoning about all of our modern complex issues is essential. This book describes why and how.
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- Brandon B.
- 01-08-23
Awesome
I really enjoyed this book. Well written, informative and thought provoking. Narration was excellent. Great if you’re into something a bit more challenging that typical popular science type books.
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- jhar14
- 02-01-24
Learned a ton
Scientists who have been in multiple industries should have more importance placed on what they have to say. This was an incredible book. The most fair and honest assessment of the climate situation I have come across. Super interesting and engaging. I learned a ton. I read/listen to ~50 books a year. This is going to be top 5 for sure. Thanks for writing this Tim Palmer!
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- Shalom Drimer
- 06-30-24
Good intentions but not great
Professor Tim Palmer has written a book with great potential but I was disappointed. He tried to be balanced on many issues like climate change and pandemics but seems to be unaware to the extent of bias in which, him and other scientists, have when they create prediction models. Even in the chapter of free will, it felt to me that it fell short on saying anything profound and substantial.
I was a bit disappointed.
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