🔖 Want to read: Carioca Fletch (Fletch #7) by Gregory McDonald
The Rio Olympics reminded me that I’d gotten Carioca Fletch to read back in the 80’s and never got around to it, so I thought I’d come back and revisit the series.
The goal of this post was to own my own checkins via foursquare. Alas there’s an issue(s) with the code somewhere, so for those who are seeing this, I’m updating it so you’ll know what happened to the intended post.
An infographic from the South China Morning Post has some interesting statistics about which many modern people don’t know (or remember). It’s very interesting to see the distribution of languages and where they’re spoken. Of particular note that most will miss, even from this infographic, is that 839 languages are spoken in Papua New Guinea (11.8% of all known languages on Earth). Given the effects of history and modernity, imagine how many languages there might have been without them.
I just ordered a copy of Why Information Grows: The Evolution of Order, from Atoms to Economies by Cesar Hidalgo. Although it seems more focused on economics, the base theory seems to fit right into some similar thoughts I’ve long held about biology.
Why Information Grows: The Evolutiion of Order from Atoms to Economies by Cesar Hidalgo
From the book description:
“What is economic growth? And why, historically, has it occurred in only a few places? Previous efforts to answer these questions have focused on institutions, geography, finances, and psychology. But according to MIT’s antidisciplinarian César Hidalgo, understanding the nature of economic growth demands transcending the social sciences and including the natural sciences of information, networks, and complexity. To understand the growth of economies, Hidalgo argues, we first need to understand the growth of order.
At first glance, the universe seems hostile to order. Thermodynamics dictates that over time, order–or information–will disappear. Whispers vanish in the wind just like the beauty of swirling cigarette smoke collapses into disorderly clouds. But thermodynamics also has loopholes that promote the growth of information in pockets. Our cities are pockets where information grows, but they are not all the same. For every Silicon Valley, Tokyo, and Paris, there are dozens of places with economies that accomplish little more than pulling rocks off the ground. So, why does the US economy outstrip Brazil’s, and Brazil’s that of Chad? Why did the technology corridor along Boston’s Route 128 languish while Silicon Valley blossomed? In each case, the key is how people, firms, and the networks they form make use of information.
Seen from Hidalgo’s vantage, economies become distributed computers, made of networks of people, and the problem of economic development becomes the problem of making these computers more powerful. By uncovering the mechanisms that enable the growth of information in nature and society, Why Information Grows lays bear the origins of physical order and economic growth. Situated at the nexus of information theory, physics, sociology, and economics, this book propounds a new theory of how economies can do, not just more, but more interesting things.”
For several years, I’ve hosted my personal blog at http://chrisaldrich.wordpress.com. This week I’ve moved everything over to a new address at http://boffosocko.com.
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We had to prove the theorems ourselves—with hints, of course—and as a result didn’t get very far, covering perhaps a fourth of what might be done in a conventional lecture. But so what? The most persistent myth of mathematics education is that what is covered is the same as what is learned. We didn’t cover much, but we sure did learn.
To put it saucily: information theory is something like the logarithm of probability theory. In early modern times the logarithm simplified multiplication into addition which was more accessible to calculation. Today, information theory transforms many quantities of probability theory into quantities which allow simpler bookkeeping.
More seriously, information theory is one of the most universal concepts with applications in computer science, mathematics, physics, biology, chemistry and other fields. It allows a lucid and transparent analysis of many systems and provides a framework to study and compare seemingly different systems using the same language and notions.
Dr. Daniel Polani, reader in Artificial Life, University of Hertfordshire
in “Research Questions”
Not only a great quote, but an interesting way to view the subjects.
I have known more people whose lives have been ruined by getting a Ph.D. in physics than by drugs.
Jonathan I. Katz, Professor of Physics, Washington University, St. Louis, Mo.
in “Don’t Become a Scientist!”
In the essay, Dr. Katz provides a bevy of solid reasons why one shouldn’t become a researcher. I highly recommend everyone read it and then carefully consider how we can turn these problems around.
