«River Out of Eden: A Darwinian View of Life» by Richard Dawkins. A book review.

“River Out of Eden: A Darwinian View of Life” by Richard Dawkins. A book review.

Fortunately, it is not the least bit religious, despite the suggestive title. There are some truly wonderful examples that usually involve the reader directly, and I relished reading it. No pictures, but none are needed as the words themselves convey the ideas successfully. I found the sections on gastrulation, ancestry, bees, eyes, particularly fascinating. The two chapters «Do Good by Stealth» and «The Replication Bomb» were exceptional!

For me, it was refreshing, because I was accustomed to reading astronomy books. The book was just the right length. I was very satisfied when I finished it and I did not desire to keep reading about the same topic. The size of the font is perfect, unlike a few of Richard Dawkin’s other books, in which it is way too small.

It is the sort of book that if you haven’t read it in a while and you then open it at random and start reading [as I’m doing now to effectively review the book] it draws you right in again and before you know it, you’re reading several pages again!

After reading it, the only trouble I found was that although I understood the function of a gene, I wasn’t exactly sure what it actually is. Is it a DNA sequence?

But if you think genes and DNA do everything, then you might want to read the book «How the Leopard changed its spots», because it reveals that chemistry, mathematics and physics play a significant role in the formation of an organism.

«Diatoms to Dinosaurs: The Size And Scale Of Living Things» by Christopher McGowan.

“Diatoms to Dinosaurs: The Size And Scale Of Living Things” by Christopher McGowan. Book review.

The book is about muscles and skeletons, hearts, fluids and brains. Quite a large chunk of the book is about flight. I found the most captivating chapter was «Tiffany wings and kite strings». It is all about tiny fliers: microfilm model airplanes and microscopic flying insects. It reveals that the mechanism that insects use to fly is different to birds. After reading this, you may think twice about squishing the next harmless little insect that flies right by you. The section on drag was surprisingly very interesting.

Although it introduces familiar animals, it goes into enough detail to provide substantially new and rewarding information about these creatures, which you almost certainly won’t be aware of. There are loads of great diagrams, which really make this book very enjoyable to read. The book is straightforward and I relished reading it.

A very very similar book is called «Cats’ Paws and Catapults». It also contains many examples of design, although it is from an engineering perspective, and the focus is on comparing the design of evolution with that of technological invention. I think Diatoms to Dinosaurs is a much more interesting read – it is predominantly concerned with nature, not with technology. This book is simply more profound, but both books are very good.

«Chaos: making a new science», by James Gleick. A book review.

Mandelbrot set 

This book only touches on what Chaos actually is. I found myself wanting more – NOT because it was a good book, but because I knew it was poorly written book on a good subject.

If you really like the image on the cover, then please do yourself a favour and go and search the internet for the phrase «Mandelbrot set», and you’ll come up with loads of pictures equally as fascinating (and you won’t have to read all those pages!).

I’m going to explain a few things first in this paragraph so you can understand the way the book is written. If my perception of the book is correct, the concept of Chaos itself, is that at first, an event appears as if it is purely random. But upon closer inspection, the underlying process is ordered, which makes the result only seem random. Chaos is not the same thing as randomness; it is a special type of randomness. Change the parameters only slightly, and the order is revealed. «Order in chaos» is the appropriate phrase that is repeated throughout the book. The other phrase that comes to mind is «sensitive dependence on initial conditions», which simply means that the outcome of an event is extremely susceptible to the initial circumstances. You could say that our lives are like that. Another easy example of a chaotic system is the weather – it changes all the time, with no apparent direction. Who knows exactly where an individual cloud will be in the sky ten years from now? However, it is all caused by the interactions of the inherently simple processes like evaporation from the sea, gravitational forces from the moon, etc. It looks random, when in reality, it is only /extremely/ complex.

The book takes forever to convey these fundamental ideas, which I’ve essentially explained to you in one or two paragraphs. There are a few nice examples, but overall, I think an unusual topic such as this needs many more real-life examples of chaos at work. This is one of those types of books that introduce all the many people who made this field of study possible. In my humble opinion, James Gleick would have been much better of writing about where chaos is seen in nature.

Perhaps all randomness is in a sense chaotic. I don’t know. I guess it depends on whether or not you think the entire Universe can be described in terms of physical laws. Some people will say that it can, others will say that it can’t. I’d probably say that by its very complexity, there isn’t (and won’t be) a computer, or a mind, or anything, powerful enough to effectively model everything and ultimately tell you what is truly random behaviour and therefore not chaotic.

This book did get me to think for myself a little, which is good, but now I think I’ll go and find another book on chaos or complexity theory, and it won’t be authored by James Gleick.

Could it be a big world after all? Debunking the «six degrees of separation» myth.

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The idea that people are connected through just «six degrees of separation,» based on Stanley Milgram’s «small world study,» has become part of the intellectual furniture of educated people. New evidence discovered in the Milgram papers in the Yale archives, together with a review of the literature on the «small world problem,» reveals that this widely-accepted idea rests on scanty evidence. Indeed, the empirical evidence suggests that we actually live in a world deeply divided by social barriers such as race and class. An explosion of interest is occurring in the small world problem because mathematicians have developed computer models of how the small world phenomenon could logically work. But mathematical modeling is not a substitute for empirical evidence. At the core of the small world problem are fascinating psychological mysteries.

The «small world» experiments

Stanley Milgram was an American researcher in experimental social psychology at Harvard University in Boston, USA. Beginning in 1967, he began a widely-publicized set of experiments to investigate the so-called «small world problem.» This problem was rooted in many of the same observations made decades earlier by Karinthy. That is, Milgram and other researchers of the era were fascinated by the interconnectedness and «social capital» of human networks. While it is unknown how directly Milgram was influenced by Karinthy’s work, the similarities between the two authors are remarkable. However, while Karinthy spoke in abstract and fictional terms, Milgram’s experiments provided evidence supporting the claim of a «small world.» His study results showed that people in the United States seemed to be connected by approximately six friendship links, on average. Although Milgram reportedly never used the term «Six Degrees of Separation,» his findings likely contributed to the term’s widespread credence. Since these studies were widely publicized, Stanley Milgram is also, like Karinthy, often attributed as the origin of the notion of Six Degrees. Here’s the latest Small World Experiment, currently in progress.

Theoretical Basis

It is important to realize that «6 degree of separation» is only in the average sense. For example, there may be a secluded population on an island nation which has had little contact with the outside world — or a secluded population which has had little contact with anyone in living memory, although such a hypothesis is almost completely improbable in the 21st century, it is still conceivable. Thus, under the «knows a living person» graph, the path length between someone in that tribe and outside of it is infinity/undefined.

If you assume the world population is 6 billion people, and everyone has the same number of friends or ‘connections’, and that each person is just as likely to know one person as any other person (save for geographic limitations), then measuring the degree of separation only becomes a simple mathematical formula of determining the exponent that will yield the population if you raise the average number of friends of each person by that exponent. In other words,

(average number of friends per person) ^ (degrees of separation) = total population
Let f = average number of friends Let d = degrees of separation Let p = population
f^d = p d * ln f = ln p d = ln p / ln f

Finding the average number of friends can be determined by random sampling. However, since we already have a good idea what the degree of separation is, let’s determine ‘f’ and consider its reasonableness.

f^d = p f = dth root of p

If we take the 6th root of 6,000,000,000, we get approximately 42.

6th root of 6,000,000,000 = 42.628 ln(6,000,000,000) / ln(42) = 6.024

Knowing 42 people is not unreasonable to a person. One class or workplace can contain 42 people. Thus, if 42 of your friends knows 42 other people, and they each know 42 more people, and so on and so on until 6 chains have been formed, then that will encompass 6 billion people.

In fact, if we take the 5th root of 6 billion, we get about 90, which in today’s connected age is not unreasonable for some people. The 7th root is 24. So if we assume that everyone in the world knows between 24 to 90 people each, then we can prove the degree of separation is between 5 and 7.

The reason this works is because as the number of chains increase, the total percentage of the population ‘known’ increases exponentially. For example, if the population is 16, and each person is restricted to knowing at most 2 people, then the degree of separation is 4. 1 person who knows 2 people is 2. If those 2 people know 2 more people, the total is 4. If those 4 people know 2 people each, the total is 8. If those 8 people know 2 people each, the total is 16.

4th root of 16 = 2 2^4 = 16

If the population is split in two groups of 8, perhaps by geographic boundaries, then it would be impossible to ‘know’ the entire population or have a connection between all individuals.

The advent of affordable intercontinental air travel in the 20th century has reduced these geographic boundaries, such that even if one individual does not know someone on another continent, they are likely to know someone else who has been to another continent. The more the population intermixes and comingles, the more even and regular the degree of separation is between any two random people in that population.

«The representation makes no difference between one-way relationships and those that are based on reciprocity. Someone who has all the luminaries on his blogroll but whose contribution for whatever reason is not very visible will seem just as connected as someone else who is widely read and recognized. How could «directions» of relationships be displayed?»

Bicycling Science – a short review.

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I think this is a great book IF you’re a scientist (like me!). Like the other reviews say, it is a little dated – but results are results. There is a wealth of info in this book, most of it is technical, and there is some fascinating things on human powered flight & HPVs. I can’t remember the exact figure that was quoted for the weights of some of the older historical bikes, but I find it hard to believe that there were such lightweights a hundred years ago (like 6kg). Knowing what I know, I just don’t think it would have been feasible. If you are interested, I wouldn’t wait for an updated edition, because they might not make it, and this one is getting pretty darn hard to get.

Researchers again pinpoint why stress kills:

emotional-stress-kills-research-study.gif(February 9, 2004) As Valentine’s Day approaches, one prevailing argument for marriage may well be that studies show married people are less depressed than their single counterparts. Behind this string of scientific reasoning for matrimony is a proven fact: the prevalence of depression in patients with coronary artery disease (e.g., myocardial infarction and heart failure) is approximately five times that of the general population.

Major depression is a significant predictor of mortality after myocardial infarction. Its predictive ability on subsequent cardiovascular events, for example, myocardial infarction, arrhythmias, ischemia, or sudden cardiac death, is comparable to that of left ventricular dysfunction, previous myocardial infarction, and smoking. Even more alarming is the finding that depression is a significant risk factor for coronary artery disease in patients without a history of heart disease. In other words, the risk for a heart attack or other cardiac disease for depressed but otherwise healthy patients is similar to the risk for patients with established cardiovascular disease.

Gender does play a role. Psychological depression is a common mood disorder affecting 2-3% of males and 5-9% of females. Depression is the leading cause of disability worldwide (quantified by years lived with a disease) and is exceeded only by coronary artery disease as the leading cause of disability in the United States. So, in addition to all the social and medical costs of depression, the disorder is considered a risk factor for coronary artery disease.

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«Diets sweetened with honey may be beneficial in decreasing anxiety and improving memory»

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PERHAPS Winnie the Pooh knows something we don’t. Honey could soon be marketed as a way to combat the effects of ageing.

Lynne Chepulis and Nicola Starkey of the University of Waikato in Hamilton, New Zealand, raised rats on diets containing 10 per cent honey, 8 per cent sucrose, or no sugar at all for 12 months. The rats were two months old at the start of the trial, and were assessed every three months using tests designed to measure anxiety and spatial memory.

Honey-fed rats spent almost twice as much time in the open sections of an assessment maze than sucrose-fed rats, suggesting they were less anxious. They were also were more likely to enter novel sections of a Y-shaped maze, suggesting they knew where they had been previously and had better spatial memory.

«Diets sweetened with honey may be beneficial in decreasing anxiety and improving memory during ageing,» says Starkey, whose work was funded by Fonterra, a dairy company interested in sweetening yoghurt with honey.

She suggests the findings may be due to the antioxidant properties of honey, which have previously been demonstrated in humans. The results were presented at the Association for the Study of Animal Behaviour meeting at Newcastle University, UK, last week. From issue 2621 of New Scientist magazine, 14 September 2007, page 23. Source

«To stretch or not to stretch», that is the question.

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Stretching is a natural activity often performed without thinking by most people and many animals. We’ve all heard of the purported benefits of a stretching regime before and after exercise. Like all health advice these days, there is now contradictory data as to whether stretching is beneficial in preventing injuries. While some studies suggest that there is no benefit to stretching, other studies have suggested that stretching actually increases muscles’ susceptibility to injury. They claim that by stretching, our muscle fibers are lengthened and destabilized, making them less prepared for the strain placed upon them by exercise.

Is it best to stretch before and/or after exercise? Should you even bother stretching at all? Personally, I’m with evolution on this one. You would think there would be some evolutionary benefit: injured animals are far less likely to survive and breed than healthy injury-free animals. We’ve all seen the classic feline stretch. And what better example than the cheetah? The magnificent cheetah is the fastest of all land animals; it has the ability to accelerate from 0 to 110 kilometres per hour (70 mph) in three seconds – faster than most supercars.

(this must be the 1st video not to show a kill)

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Book Review: «In Search of Nature» by Edward O. Wilson.

Book Review: “In Search of Nature” by Edward O. Wilson.

The author has a very easy to read style. It is very succinct and eloquent. If you love nature, you will love this book. The chapter «In the company of ants» is probably one of the best chapters [of any book] that I have ever read. I found the hierarchal structure of the leaf-cutter ants very intriguing. What marvellous little creatures! I’ll never look at an ant the same way again. Here’s a little snippet for you:

«Watch where you step. Be careful of little lives. Feed them crumbs of coffeecake. They also like bits of tuna and whipped cream. Get a magnifying glass. Watch them closely. And you will be as close as any person may ever come to seeing social life as it might evolve on another planet.»

I also loved three other chapters entitled, «Humanity seen from a distance», «The little things that run the world» and the final chapter, «Is humanity suicidal?». Other interesting chapters are about snakes, or rather serpents, sharks, altruism & aggression, etc. The essence of the book is really as the title suggests, «in search of nature».

Towards the end, a sincere and legitimate message is delivered by the author. It is a very moving assertion and everyone, yes everyone, should read it. Edwin O. Wilson is proof that Carl Sagan wasn’t the only good author.

The «Revenge Effect». Why things bite back.

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What is the revenge effect? Put simply, its nature’s way of biting back. Call it Karma, call it Murphy’s Law. Call it what you will. You’d be suprised at the negative consequences of our actions… I’ve read bits of the book «Why things bite back» and various books on chaos theory, and I’m inclined to agree. Take the following random examples:

  • Two safety inventions, Anti-Lock-Brake (ABS) & crash helmets, can also both lead to a false sense of security, increased speeds, and an increased incidence of injury.
  • The use of pesticides which create insecticide-resistant bugs, demanding ever-sronger chemicals.
  • Computers were initially supposed to reduce the amount of paper we consumed in offices!

In Why Things Bite Back, Edward Tenner introduces and explains his ground-breaking ‘Revenge Effect’, that every technological advance leads to a paradoxical and unintended consequence. As we complicate the systems which govern our lives, revenge effects multiply. Technology demands more, not less human work and vigilance. For every accute problem solved, a chronic problem comes up in its stead. New roads lead to bigger traffic jams. Antibiotic therapy promotes the spread of virulent bacteria. Pest control which spreads pests; exercise [over-training] which diminishes fitness; communication which impedes the flow of information: it seems as if the world we have create is intent on getting even.

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Interesting Internet Statistics:

Interesting Internet Statistics:

Click here for a current traffic report of the global internet communications network!

Within the last decade it seems, the internet has grown to contain ~1 trillion pages. There is ~1 Petabyte of total information storage (a billion Gigabytes). What is the size of the internet?

Host domain name & url growth statistics graph Internet penetration: percentage internet users by region Internet world usage: total number of internet users by region