We now understand how vibrations work, due to physics. We’re no longer confused by the fact that plucking a guitar string somehow gives rise to order and music. It’s time we do the same thing for the fluctuations in what we know as well, and recognize that there’s an order to all of our changing knowledge. This book is a guide to the science behind the vibrations in the facts around us.If you know anything about science, you’ll know that scientific knowledge is provisional. Pluto is no longer classified as a planet, the health benefits of red wine seem to magically fluctuate, and smoking was once recommended by doctors as a healthy practice. These changes can frustrate people, and they can give rise to the worrying idea that scientists are just making it up as they go along, that nothing is reliable anyway, and that science is so broken we might as well dismiss it altogether.
In The Half-Life of Facts: Why Everything We Know Has an Expiration Date, Samuel Arbesman shows us that nothing could be further from the truth. This is a book that carefully documents how there’s method to this madness: changes in knowledge don’t mean that science is broken; on the contrary, they mean that it’s doing its job right. Additionally, there are predictable patterns to how facts change, and the more we learn about these patterns, the better able we are to “provide a handle for our uncertainty, and even a metric for how often we should revisit a subject.”
Perhaps the best way to describe The Half Life of Facts is as the Freakonomics of the scientific method. Arbesman brings together an impressive range of knowledge to explain how facts evolve, and he does so in a way that is both detailed and accessible and that never fails to be completely engaging. Along the way, he covers topics such as the pace of scientific discovery, how information spreads across networks of social contacts, why erroneous facts are so resilient to correction, the role human error plays in science, etc.
The Half Life of Facts is obviously a science-positive book, and I really appreciated that aspect of it. But more than as a science fan, I absolutely loved it as a library science graduate. The ground Arbesman covers has huge implications for information science: how do those of us in the business of helping others navigate the wealth of information out there cope with these changes? How do we make sure that potential life-saving knowledge isn’t buried under everything else that we know? How do we keep facts visible, how do we link them, how do we get them to the people who could use them the most?
For example, there’s a whole chapter devoted to the concept of undiscovered public knowledge: sometimes a piece of knowledge is well-known in a field, but not in another where it would also be applicable simply because there’s just so much information out there. As Arbesman says,
Imagine that in one area of the scientific literature there was a paper showing that A implies B. Then, somewhere else, in some seldom- read journal (or even a journal only read by those in an entirely different area), an article contained the finding that B implies C. But since no one has read both papers, the obvious result—that A implies C—remained dormant, hidden in the literature as an unknown fact.This inability to combine recent research with other findings can make it less useful than it could be, and the result is that everyone misses out. Hidden public knowledge can also lead to several people independently rediscovering things that have been known in other fields for a long time, which wastes time, resources, and intellectual energy that could be put to use elsewhere.
The good news is that the more we know about the architecture of information, the patterns in the dissemination of knowledge, and the pace at which facts change, the better we’ll be able to remedy and prevent these situations. We’ll also be able to combat the pernicious idea that the revision of facts is something we should hold against science. As Arbesman concludes, perhaps the best way to avoid the uncertainty and surprise of changes in knowledge “is to simply recognize that it’s not that surprising.”
More interesting bits:
It’s one thing to be told that a food is healthy one day and a carcinogen the next. But it’s something else entirely to assume that basic tenets of our scientific framework—gravity, genetics, electromagnetism—might very well be wrong and can possibly be part of the half-life of knowledge. But this is not the way science works. While portions of our current state of science can be overturned, this occurs only in the service of something much more positive: an approach to scientific truth.Here’s a good reason to resent captcha a little less. Who knew?
Simple tasks are given to lots of people to perform, often either for a small amount of money or because someone has cleverly hidden the task in a game. One of the most well-known examples of these are the distorted words we often have to read correctly in order to prove our humanity to a Web site. Rather than simply being an inconvenience, they are now being exploited to actually help digitize such works as the New York Times archives. By pairing a distorted known word with one that computers are unable to decipher, everyday users who can read these words are helping bring newspapers and books into digital formats.
There are many examples where a small error, despite being corrected later, has spread through a population. If you want to spend days poring over persistent errors that have spread far and wide, Snopes. com is a great font for these bits of information. Or even look at Wikipedia. In his delightfully nerdy Web comic xkcd, author Randall Munroe wishes for a world in which schoolchildren read the Wikipedia page on common misconceptions weekly, in order to learn truth as well as skepticism. Both of these sites are full of urban legends, false facts, and misconceptions that have become prevalent.
One good rule of thumb when examining how errors propagate over time is to look for a simple phrase: “contrary to popular belief.” While the phrase is a favorite of writers with a love for the counterintuitive point (and this author is not immune to this), it’s also a clear indication that a bit of knowledge has spread far and wide despite being inaccurate. The antidote to this false fact, which of course the writer is about to tell you, has yet to penetrate the popular consciousness. And this phrase is by no means new. I have found instances of it in books and magazines from the nineteenth century debunking false facts about lunar phases, medical knowledge, and even the heredity of genius.
Clearly, science is not an abstract venture that is done in isolation from everyday human issues. It is not some endeavor immune from passions and biases. Science is an entirely human process. Science is done through hunches and chance recognition of relationships, and is enriched by spirited discussion and debate around the lab. But science is also subject to our baser instincts. Data are hoarded, scientists refuse to collaborate, and grudges can play a role in peer review. The human aspect of science plays an important role when it comes to the acceptance of new knowledge. We don’t always weigh the evidence for and against a new discovery or theory and then make our decision, especially if it requires a wholesale overhaul of our scientific worldview. Too often we are dragged, spouting alternative theories and contradictory data, to the new theoretical viewpoint. This can be very good. Having more than a few contrarians keeps everyone honest. But it can also be very bad, as when Semmelweis was ignored and essentially driven mad by his colleagues’ refusal to accept the truth. But eventually, in the face of overwhelming evidence, the majority will generally accept the new theory, before their recalcitrance becomes too counterproductive.
Reviewed at: Chaos is a Friend of Mine
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