A reader analytics company in London wants to use data on our reading habits to transform how publishers acquire, edit and market books.
A review of Summa Technologiae by Stanislaw Lem by David Auerbach from the Los Angeles Review of Books.
AT LAST WE have it in English. Summa Technologiae, originally published in Polish in 1964, is the cornerstone of Stanislaw Lem’s oeuvre, his consummate work of speculative nonfiction. Trained in medicine and biology, Lem synthesizes the current science of the day in ways far ahead of most science fiction of the time.
His subjects, among others, include:
- Virtual reality
- Artificial intelligence
- Nanotechnology and biotechnology
- Evolutionary biology and evolutionary psychology
- Artificial life
- Information theory
- Entropy and thermodynamics
- Complexity theory, probability, and chaos
- Population and ecological catastrophe
- The “singularity” and “transhumanism”
I came across this book review quite serendipitously today via an Auerbach article in Slate, which I’ve bookmarked. I found a copy of the book and have added it to the top of my reading pile. As I’m currently reading an advance reader edition of Sean Carroll’s The Big Picture, I can only imagine how well the two may go together despite being written nearly 60 years apart.
A Japanese mathematician claims to have solved one of the most important problems in his field. The trouble is, hardly anyone can work out whether he's right.
The biggest mystery in mathematics
This article in Nature is just wonderful. Everyone will find it interesting, but those in the Algebraic Number Theory class this fall will be particularly interested in the topic – by the way, it’s not too late to join the class. After spending some time over the summer looking at Category Theory, I’m tempted to tackle Mochizuki’s proof as I’m intrigued at new methods in mathematical thinking (and explaining.)
The abc conjecture refers to numerical expressions of the type a + b = c. The statement, which comes in several slightly different versions, concerns the prime numbers that divide each of the quantities a, b and c. Every whole number, or integer, can be expressed in an essentially unique way as a product of prime numbers — those that cannot be further factored out into smaller whole numbers: for example, 15 = 3 × 5 or 84 = 2 × 2 × 3 × 7. In principle, the prime factors of a and b have no connection to those of their sum, c. But the abc conjecture links them together. It presumes, roughly, that if a lot of small primes divide a and b then only a few, large ones divide c.
Thanks to Rama for bringing this to my attention!
Typical teenage protagonist Kayleigh comes home one day to find her father bleeding and injured in an apparent home invasion that ultimate reveals her mother has been either kidnapped or killed. Struggling with the psychological fallout of losing her mother under more than suspicious circumstances, she faces the turmoils of puberty, relationships, and fitting in as a teenager in high school. Making things worse, she discovers, that like her mother, she’s a “Morph” with the ability to change her appearance into almost anyone she can imagine to even animals. Facing post traumatic stress disorder amidst teenagerdom, her new-found ability just compounds things and gives her some hope that her mother may not only be alive but that she may be able to find her — if she can withstand constant bullying from classmate Emma and a very mysterious and potentially threatening online stalker who seems to know her every move.
I can’t wait to see the next installment in November 2015.
Imagine you had to take an art class in which you were taught how to paint a fence or a wall, but you were never shown the paintings of the great masters, and you weren't even told that such paintings existed. Pretty soon you'd be asking, why study art? That's absurd, of course, but it's surprisingly close to the way we teach children mathematics. In elementary and middle school and even into high school, we hide math's great masterpieces from students' view. The arithmetic, algebraic equations and geometric proofs we do teach are important, but they are to mathematics what whitewashing a fence is to Picasso — so reductive it's almost a lie. Most of us never get to see the real mathematics because our current math curriculum is more than 1,000 years old. For example, the formula for solutions of quadratic equations was in al-Khwarizmi's book published in 830, and Euclid laid the foundations of Euclidean geometry around 300 BC. If the same time warp were true in physics or biology, we wouldn't know about the solar system, the atom and DNA. This creates an extraordinary educational gap for our kids, schools and society.
Learning any language involves acquiring a large amount of vocabulary. For this reason, I think it is very useful for Latin and Greek students to put time and effort into systematic vocabulary study.
Finished Reading: October 13, 2013
Given the technical nature of what Nate Silver does, and some of the early mentions of the book, I had higher hopes for the technical portions of the book. As usual for a popular text, I was left wanting a lot more. Again, the lack of any math left a lot to desire. I wish technical writers could get away with even a handful of equations, but wishing just won’t make it so.
The first few chapters were a bit more technical sounding, but eventually devolved into a more journalistic viewpoint of statistics, prediction, and forecasting in general within the areas of economics, political elections, weather forecasting, earthquakes, baseball, poker, chess, and terrorism. I have a feeling he lost a large part of his audience in the first few chapters by discussing the economic meltdown of 2008 first instead of baseball or poker and then getting into politics and economics.
While some of the discussion around each of these bigger topics are all intrinsically interesting and there were a few interesting tidbits I hadn’t heard or read about previously, on the whole it wasn’t really as novel as I had hoped it would be. I think it should be required reading for all politicians however, as I too often get the feeling that none of them think at this level.
There was some reasonably good philosophical discussion of Bayesian statistics versus Fisherian, but it was all too short and could have been fleshed out more significantly. I still prefer David Applebaum’s historical and philosophical discussion of probability in Probability and Information: An Integrated Approach though he surprisingly didn’t mention R.A. Fisher directly himself in his coverage.
It was interesting to run across additional mentions of power laws in the realms of earthquakes and terrorism after reading Melanie Mitchell’s Complexity: A Guided Tour (review here), but I’ll have to find some texts which describe the mathematics in full detail. There was surprisingly large amount of discussion skirting around the topics within complexity without delving into it in any substantive form.
For those with a pre-existing background in science and especially probability theory, I’d recommend skipping this and simply reading Daniel Kahneman’s book Thinking, Fast and Slow. Kahneman’s work is referenced several times and his book seems less intuitive than some of the material Silver presents here.
This is the kind of text which should be required reading in high school civics classes. Perhaps it might motivate more students to be interested in statistics and science related pursuits as these are almost always at the root of most political and policy related questions at the end of the day.
For me, I’d personally give this three stars, but the broader public should view it with at least four stars if not five as there is some truly great stuff here. Unfortunately a lot of it is old hat or retreaded material for me.
This is handily one of the best, most interesting, and (to me at least) the most useful popularly written science books I’ve yet to come across. Most popular science books usually bore me to tears and end up being only pedantic for their historical backgrounds, but this one is very succinct with some interesting viewpoints (some of which I agree with and some of which my intuition says are terribly wrong) on the overall structure presented.
For those interested in a general and easily readable high-level overview of some of the areas of research I’ve been interested in (information theory, thermodynamics, entropy, microbiology, evolution, genetics, along with computation, dynamics, chaos, complexity, genetic algorithms, cellular automata, etc.) for the past two decades, this is really a lovely and thought-provoking book.
At the start I was disappointed that there were almost no equations in the book to speak of – and perhaps this is why I had purchased it when it came out and it’s subsequently been sitting on my shelf for so long. The other factor that prevented me from reading it was the depth and breadth of other more technical material I’ve read which covers the majority of topics in the book. I ultimately found myself not minding so much that there weren’t any/many supporting equations aside from a few hidden in the notes at the end of the text in most part because Dr. Mitchell does a fantastic job of pointing out some great subtleties within the various subjects which comprise the broader concept of complexity which one generally would take several years to come to on one’s own and at far greater expense of their time. Here she provides a much stronger picture of the overall subjects covered and this far outweighed the lack of specificity. I honestly wished I had read the book when it was released and it may have helped me to me more specific in my own research. Fortunately she does bring up several areas I will need to delve more deeply into and raised several questions which will significantly inform my future work.
In general, I wish there were more references I hadn’t read or been aware of yet, but towards the end there were a handful of topics relating to fractals, chaos, computer science, and cellular automata which I have been either ignorant of or which are further down my reading lists and may need to move closer to the top. I look forward to delving into many of these shortly. As a simple example, I’ve seen Zipf’s law separately from the perspectives of information theory, linguistics, and even evolution, but this is the first time I’ve seen it related to power laws and fractals.
I definitely appreciated the fact that Dr. Mitchell took the time to point out her own personal feelings on several topics and more so that she explicitly pointed them out as her own gut instincts instead of mentioning them passingly as if they were provable science which is what far too many other authors would have likely done. There are many viewpoints she takes which I certainly don’t agree with, but I suspect that it’s because I’m coming at things from the viewpoint of an electrical engineer with a stronger background in information theory and microbiology while hers is closer to that of computer science. She does mention that her undergraduate background was in mathematics, but I’m curious what areas she specifically studied to have a better understanding of her specific viewpoints.
Her final chapter looking at some of the pros and cons of the topic(s) was very welcome, particularly in light of previous philosophic attempts like cybernetics and general systems theory which I (also) think failed because of their lack of specificity. These caveats certainly help to place the scientific philosophy of complexity into a much larger context. I will generally heartily agree with her viewpoint (and that of others) that there needs to be a more rigorous mathematical theory underpinning the overall effort. I’m sure we’re all wondering “Where is our Newton?” or to use her clever aphorism that we’re “waiting for Carnot.” (Sounds like it should be a Tom Stoppard play title, doesn’t it?)
I might question her brief inclusion of her own Ph.D. thesis work in the text, but it did actually provide a nice specific and self-contained example within the broader context and also helped to tie several of the chapters together.
My one slight criticism of the work would be the lack of better footnoting within the text. Though many feel that footnote numbers within the text or inclusion at the bottom of the pages detracts from the “flow” of the work, I found myself wishing that she had done so here, particularly as I’m one of the few who actually cares about the footnotes and wants to know the specific references as I read. I hope that Oxford eventually publishes an e-book version that includes cross-linked footnotes in the future for the benefit of others.
I can heartily recommend this book to any fan of science, but I would specifically recommend it to any undergraduate science or engineering major who is unsure of what they’d specifically like to study and might need some interesting areas to take a look at. I will mention that one of the tough parts of the concept of complexity is that it is so broad and general that it encompasses over a dozen other fields of study each of which one could get a Ph.D. in without completely knowing the full depth of just one of them much less the full depth of all of them. The book is so well written that I’d even recommend it to senior researchers in any of the above mentioned fields as it is certainly sure to provide not only some excellent overview history of each, but it is sure to bring up questions and thoughts that they’ll want to include in their future researches in their own specific sub-areas of expertise.
Aside from the breadth of topics he covers while telling the story of one man’s life’s work, he writes about and discusses topics which should be part of everyone’s personal cultural knowledge. As a small example, he makes mention of one of the real life archaeologists who served as a model for Indiana Jones – though sadly he only makes the direct connection in a footnote which many may not likely read.
Though I had originally picked up the book out of general curiosity (not to diminish the fact that I’m on a quest to read every word Winchester has written), I find that it also neatly fits into providing some spectacular background on the concept of “Big History” (see Maps of Time: An Introduction to Big History) as it relates to China’s place in the world. In particular “Needham’s question” (briefly: Why, given China’s illustrious past, did modern science not develop there after the 1500’s?) turned around becomes a interesting illustration on the course of human history and the rises and falls of cultures and societies since the Holocene.
For those who may miss the significance, I was particularly impressed with the overall literary power imbued to the book by the use of the book-ended contrasts of Needham’s Chongqing at the opening of the work and modern day Chongqing at the close. This is one of the few times that the mechanics behind how Winchester, the master of telling often non-linear stories, has been patently obvious to me. I hope one day to unravel all of his other secrets. I can only imagine that in his heavy research of his topics, he somehow internally sees the ultimately magical ways in which he will present the information.
I will note that, in contrast to some of his past works, this one had some better physical maps and photos to go along with the text, although I was highly disappointed in their unusable presentation in the e-book version of the book. (Higher dpi versions would have gone a long way, particularly with the ability to zoom in on them in most e-readers.) For those unfortunate enough to have the e-book copy, I commend picking up a physical copy of the book for better interpretations of the photos and maps included.
Finally, perhaps for Winchester’s benefit, I’ll note that typically I would give this book a full five stars in comparing it will all others, but I’m comparing it only with Winchester’s other works and, so it stands at four, and that only because there isn’t the ability to give tenths or hundredths.
- 12/17/09 marked as: want to read; “Purchased copy from Amazon.com.”
- 12/27/09 Purchased copy from Amazon.com.
- 02/05/10 started reading
- 04/24/10 started reading again
- 04/24/2010 8.81% done or on page 31 of 316; “Simon Winchester has such a lovely writing style and grasp of language. I’m depressed that I’ve finished reading most of his works.”
- 12/03/12 started reading again from the beginning
- 12/03/2012 09.0% done
- 12/10/2012 20.0% done
- 12/17/2012 30.0% done
- 12/20/2012 40.0% done
- 12/31/12 Finished book
Highlights, Quotes, & Marginalia
John Hay, America’s secretary of state at the turn of the twentieth century, remarked in 1899 that China was now the “storm center of the world,” and that whoever took the time and trouble to understand “this mighty empire” would have “a key to politics for the next five centuries.”
Guide to highlight colors
Yellow–general highlights and highlights which don’t fit under another category below
Orange–Vocabulary word; interesting and/or rare word
Green–Reference to read
Red–Example to work through
Proofiness was a great book to have read over a long Fourth of July holiday. Though many people may realize some of the broad general concepts in the book, it’s great to have a better structure for talking about concepts like Potemkin numbers, disestimation, fruit packing, cherry picking, apple polishing, comparing apples to oranges, causuistry, randnumbness, regression to the moon, tragedy of the commons, and moral hazard among others. If you didn’t think mathematics was important to daily life or our democratic society, this book will certainly change your mind.
Seife covers everything from polls, voting, politics, economics, marketing, law, and even health to show how numbers are misused in a modern world that can ill-afford to ignore what is really going on around us.
This is a fantastic book for nearly everyone in the general public, but I’d highly recommend it for high school students while taking civics.
If Leonard Riggio, Barnes & Noble's chairman, joins Liberty Media's proposed buyout of his company, the board needs to decide how to handle his 30 percent stake before shareholders vote on the deal.
This story from the New York Times’ Dealbook is a good quick read on some of the details and machinations of the Barnes & Noble buyout. Perhaps additional analysis on it from a game theoretical viewpoint would yield new insight?
How our brains fool us on climate, creationism, and the vaccine-autism link.
Read between January 02 – May 09, 2011
Quotes and Highlights:
You may remember the old Persian saying, ‘There is danger for him who taketh the tiger cub, and danger also for whoso snatches a delusion from a woman.’ There is as much sense in Hafiz as in Horace, and as much knowledge of the world.
Singularity is almost invariably a clue. The more featureless and commonplace a crime is, the more difficult it is to bring it home.
Well, moonshine is a brighter thing than fog, …
…as I said then, that a man should keep his little brain-attic stocked with all the furniture that he is likely to use, and the rest he can put away in the lumber-room of his library, where he can get it if he wants it.
“My God! It’s Watson,” said he. He was in a pitiable state of reaction, with every nerve in a twitter.
41% Note: An interesting early use of @Twitter…
I should be very much obliged if you would slip your revolver into your pocket. An Eley’s No. 2 is an excellent argument with gentlemen who can twist steel pokers into knots. That and a tooth-brush are, I think, all that we need.
87% First reference to Holmes with a magnifying lens in print that I’ve seen.Like
My first realization I was hooked on Oscar was when I seriously began pondering one of mankind's most profound dilemmas: whether to rent or buy a tux. That first step, as with any descent down a...