description: philosophical principle used to judge credibility of statements
158 results
by Johnjoe McFadden · 27 Sep 2021
Big Bang, its bones remain simple. This book is about uncovering those bones – the simple building blocks of our universe – with a tool known as Occam’s razor, named after a Franciscan friar called William of Occam, who lived seven centuries before Penzias and Wilson. My own interest in simplicity began at a
by Eliezer Yudkowsky · 11 Mar 2015 · 1,737pp · 491,616 words
Your Uncertainty 21. What Is Evidence? 22. Scientific Evidence, Legal Evidence, Rational Evidence 23. How Much Evidence Does It Take? 24. Einstein’s Arrogance 25. Occam’s Razor 26. Your Strength as a Rationalist 27. Absence of Evidence Is Evidence of Absence 28. Conservation of Expected Evidence 29. Hindsight Devalues Science D. Mysterious
by Ben Goertzel and Pei Wang · 1 Jan 2007 · 303pp · 67,891 words
that can be executed to solve problems arising in the domain. Evolution created compact programs understanding domains posed by nature. According to an extrapolation of Occam's razor, a compact enough program solving enough problems drawn from a distribution can only be found if there is simple structure underlying the distribution and the
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suggested to arise through discovering a sufficiently concise program that works on a sufficiently large sample of naturally presented problems. By a proposed extrapolation of Occam's razor, such a concise effective program would only exist if the world posing the problems had an underlying structure that the program exploits to solve the
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indicated that many computations are inherently time consuming, how does the mind work so amazingly fast? Computational learning theory has explained generalization as arising from Occam's razor. The most studied context is concept learning, where one sees a series of classified examples, and desires to learn a function that will predict correctly
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exploits structure in the process producing the data. The literature also contains results that say, roughly speaking, the only way learning is possible is through Occam's razor. Such no-go theorems are never air tight - there's a history of other no-go theorems being evaded by some alternative that escaped conception
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many problems involving them (for example, to determine if a 50 digit number is even). My working hypothesis is that our mathematical abilities arise from Occam's razor. Roughly speaking, we have these abilities because there is a real a priori structure underlying mathematics, and evolution discovered modules that exploit it, for example
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modules that invoke more basic modules. Experience suggests that complex programs must be built in such a modular fashion, sometimes called an abstraction hierarchy. The Occam's razor hypothesis suggests that the modules coded in the genome are meaningful precisely in the sense that powerful programs can be built on top of them
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ever more powerful superstructure on top of the innately coded programming. In summary, computational learning theory has made a compelling case that generalization comes from Occam's razor. Understanding can be explained by a simple extrapolation of this as arising from evolution of a compact genomic program that builds a set of procedures
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AI programs do not seem to display ``understanding" [8]. These programs were not compact or constrained. Mostly, they were simply built by human programmers without Occam's razor in mind. Arguably, AI programs that have displayed some understanding have been built on very compact structures. For example, the core of chess programs such
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than I do in understanding a chess position. The main point I am making, however, is that generalization and thus understanding follows from an extrapolated Occam's razor. When you find a very constrained program that's effective on a large collection of examples, so constrained that it should not exist unless there
by Shane Parrish · 22 Nov 2019 · 147pp · 39,910 words
Acquiring Wisdom General Thinking Concepts: The Map is not the Territory Circle of Competence First Principles Thinking Thought Experiment Second-Order Thinking Probabilistic Thinking Inversion Occam’s Razor Hanlon’s Razor Supporting Ideas: Falsifiability Necessity and Sufficiency Causation vs. Correlation Acknowledgements Landmarks Title Page Table of Contents Preface Introduction Body Matter Acknowledgments Cover
by Lawrence B. Afrin M. D., Kendra Neilsen Myles and Kristi Posival · 15 Jan 2016
some patients. And while it remained possible that something other than inappropriate mast cell activity was causing Shelly’s norepinephrine level to rise, the odds – Occam’s Razor, about which I’ll have much more to say later – said it was more likely that the elevated norepinephrine was due to the same root
by Maximilian Kasy · 15 Jan 2025 · 209pp · 63,332 words
to navigate this trade-off between overfitting and underfitting is model complexity. Model Complexity and Overfitting One of the most well-known methodological prescriptions is Occam’s razor. To philosophers, a razor is a principle or idea that helps weed out unlikely explanations for something—a way of streamlining how one thinks about
by Michael W. Covel · 19 Mar 2007 · 467pp · 154,960 words
Theory . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Emotional Intelligence: Daniel Goleman . . . . . . . . . . . . . . . . . . . . . . . . . . . . Charles Faulkner . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Ed Seykota’s Trading Tribe . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Curiosity Is the Answer, Not Degrees . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Commitment to Habitual Success . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 7 Decision Making . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Occam’s Razor . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Fast and Frugal Decision Making . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . The Innovator’s Dilemma . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Process Versus Outcome . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 193 194 200 201 202 204 206 211 212 213 216 218 xi
by Ozan Varol · 13 Apr 2020 · 389pp · 112,319 words
threats. But you don’t always need an actual or a hypothetical wrecking ball to get back to first principles. Sometimes a razor will do. Occam’s Razor Legend has it that NASA spent a decade and millions of dollars developing a ballpoint pen that would work in zero gravity and function in
by Timothy Ferriss · 1 Dec 2010 · 836pp · 158,284 words
I A Minimalist Approach to Mass It is vain to do with more what can be done with less. —William of Occam (c. 1288–1348), “Occam’s Razor” 100 FEET OFFSHORE, MALIBU, CALIFORNIA I was sitting on my surfboard 20 feet to the side of Neil Strauss, bestselling author of The Game. The
by Aaron Finkel · 21 Mar 1945 · 1,402pp · 369,528 words
only interpreting Aristotle. Occam is best known for a maxim which is not to be found in his works, but has acquired the name of “Occam’s razor.” This maxim says: “Entities are not to be multiplied without necessity.” Although he did not say this, he said something which has much the same
by Lance Fortnow · 30 Mar 2013 · 236pp · 50,763 words
by Simon Singh · 1 Jan 2004 · 492pp · 149,259 words
by Daron Acemoğlu and James A. Robinson · 28 Sep 2001
by Benjamin Wallace · 18 Mar 2025 · 431pp · 116,274 words
by Tom Chivers · 6 May 2024 · 283pp · 102,484 words
by Richard E. Nisbett · 17 Aug 2015 · 397pp · 109,631 words
by Neal Ford · 8 Dec 2008 · 224pp · 48,804 words
by William Poundstone · 3 Jun 2019 · 283pp · 81,376 words
by Zdravko Markov and Daniel T. Larose · 5 Apr 2007
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by David Deutsch · 31 Mar 2012 · 511pp · 139,108 words
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by Chuck Klosterman · 6 Jun 2016 · 281pp · 78,317 words
by Melanie Mitchell · 31 Mar 2009 · 524pp · 120,182 words
by Jim Rasenberger · 4 Apr 2011 · 742pp · 202,902 words
by Gautam Baid · 1 Jun 2020 · 1,239pp · 163,625 words
by Gary Taubes · 27 Dec 2016 · 406pp · 115,719 words
by Geoffrey C. Bowker and Susan Leigh Star · 25 Aug 2000 · 357pp · 125,142 words
by John Kounios · 14 Apr 2015 · 262pp · 80,257 words
by Geoffrey C. Bowker · 24 Aug 2000
by Eric Siegel · 19 Feb 2013 · 502pp · 107,657 words
by Michael Strevens · 12 Oct 2020
by Kenneth Cukier, Viktor Mayer-Schönberger and Francis de Véricourt · 10 May 2021 · 291pp · 80,068 words
by Dominic Frisby · 1 Nov 2014 · 233pp · 66,446 words
by David Aronson · 1 Nov 2006
by Kim Stanley Robinson · 23 Oct 1992 · 660pp · 213,945 words
by Ben Carlson · 14 May 2015 · 232pp · 70,835 words
by Robert Wachter · 7 Apr 2015 · 309pp · 114,984 words
by Christopher M. Palmer Md · 15 Nov 2022 · 402pp · 107,908 words
by Matt Morgan · 29 May 2019 · 218pp · 70,323 words
by Charles Conn and Robert McLean · 6 Mar 2019
by Mehmed Kantardzić · 2 Jan 2003 · 721pp · 197,134 words
by Adam Goucher and Tim Riley · 13 Oct 2009 · 351pp · 123,876 words
by Didier Sornette · 18 Nov 2002 · 442pp · 39,064 words
by Brian Christian and Tom Griffiths · 4 Apr 2016 · 523pp · 143,139 words
by Dr. Guy Leschziner · 22 Jul 2019 · 307pp · 102,477 words
by David Levinson and Kevin Krizek · 17 Aug 2015 · 257pp · 64,285 words
by Jim Al-Khalili · 28 Sep 2010 · 467pp · 114,570 words
by Satyajit Das · 15 Nov 2006 · 349pp · 134,041 words
by Marcia Bartusiak · 6 Apr 2009 · 412pp · 122,952 words
by Timothy Ferriss · 1 Jan 2007 · 426pp · 105,423 words
by Neal Stephenson · 9 Sep 2004 · 1,178pp · 388,227 words
by Alan Weisman · 21 Apr 2025 · 599pp · 149,014 words
by Nate Silver · 12 Aug 2024 · 848pp · 227,015 words
by Feng Gu · 26 Jun 2016
by Ed Catmull and Amy Wallace · 23 Jul 2009 · 325pp · 110,330 words
by John Preston · 9 Feb 2021 · 374pp · 110,238 words
by Andrew W. Lo and Stephen R. Foerster · 16 Aug 2021 · 542pp · 145,022 words
by Ben Buchanan · 25 Feb 2020 · 443pp · 116,832 words
by Bo Bennett · 29 May 2017
by Melanie Swan · 22 Jan 2014 · 271pp · 52,814 words
by Marcus Du Sautoy · 18 May 2016
by Bruce H. Lipton · 1 Jan 2005 · 220pp · 66,518 words
by Martin Ford · 16 Nov 2018 · 586pp · 186,548 words
by Brian Clegg · 8 Dec 2015 · 315pp · 92,151 words
by David Eagleman · 29 May 2011 · 383pp · 92,837 words
by Kory Stamper · 14 Mar 2017 · 341pp · 95,752 words
by Adam Kucharski · 23 Feb 2016 · 360pp · 85,321 words
by Betsy Beyer, Chris Jones, Jennifer Petoff and Niall Richard Murphy · 15 Apr 2016 · 719pp · 181,090 words
by James Gleick · 1 Mar 2011 · 855pp · 178,507 words
by C.J. Date · 19 Apr 2012 · 534pp · 118,459 words
by Philip Mirowski · 24 Jun 2013 · 662pp · 180,546 words
by Richard Dawkins · 1 Jan 1982 · 506pp · 152,049 words
by Mitch Joel · 20 May 2013 · 260pp · 76,223 words
by Danielle Ofri · 3 Jun 2013 · 263pp · 78,433 words
by Gary Taubes · 25 Sep 2007 · 936pp · 252,313 words
by Simon Baron-Cohen · 14 Aug 2020
by Michael Nielsen · 2 Oct 2011 · 400pp · 94,847 words
by Eric Berne · 2 Jan 1975 · 450pp · 147,724 words
by David Deutsch · 30 Jun 2011 · 551pp · 174,280 words
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by Daniel Suarez · 1 Dec 2006 · 562pp · 146,544 words
by Erik J. Larson · 5 Apr 2021
by Paul Theroux · 1 Jan 1975 · 383pp · 118,458 words
by Nick Harkaway · 18 Oct 2017 · 778pp · 239,744 words
by Larry Niven · 12 Sep 1985 · 414pp · 105,153 words
by Neal Stephenson · 19 Sep 2011 · 1,318pp · 403,894 words
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by Christine Negroni · 26 Sep 2016 · 269pp · 74,955 words
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by Edward O. Thorp · 15 Nov 2016 · 505pp · 142,118 words
by William D. Cohan · 8 Apr 2014 · 1,061pp · 341,217 words
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by Tom Clancy · 2 Jan 1998 · 553pp · 151,139 words
by Abraham Verghese · 1 Jan 1994 · 519pp · 169,973 words
by Robert Kroese · 6 Dec 2017 · 459pp · 128,458 words
by Tsh Oxenreider · 3 Nov 2010 · 210pp · 55,131 words
by Stephen H. Segal · 2 Aug 2011
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by Raúl Garreta and Guillermo Moncecchi · 14 Sep 2013 · 122pp · 29,286 words
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by Charles Murray · 28 Jan 2020 · 741pp · 199,502 words
by David Wellington · 22 Jul 2019 · 460pp · 130,621 words
by Yuval Noah Harari · 9 Sep 2024 · 566pp · 169,013 words
by Derek Künsken · 1 Oct 2018 · 430pp · 107,765 words
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by Dipanjan Sarkar · 1 Dec 2016
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by The Believer, Judd Apatow and Patton Oswalt · 6 Mar 2012
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by Peter Gutmann
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by Jiawei Han, Micheline Kamber and Jian Pei · 21 Jun 2011