Resource: UN DESA Statistics Databases
Labels: data, resources, statistics
A spot about the business of writing as seen by a freelance writer. That includes marketing, sales, contracts, copyright, planning, research - in short, the business end of writing.
I'm an independent writer and photographer who covers business, food, technology, books, media, general features, and pretty much anything appealing that results in a signed check. My work has appeared in such places as the New York Times Magazine, Newsweek, Newsweek Japan, Fortune, Inc, Fortune Small Business, the Financial Times, Advertising Age, Saveur, US News & World Report, and Continental
Labels: data, resources, statistics
How, then, do you effectively cover a story laden with valid assumptions, some likely to be correct, many likely to be incorrect? Let us use climate models as an example. In order to avoid long computing times, the use of super computers, or simply (and usually) because the information does not exist, modelers are forced to typically make 100’s of assumptions when devising their code. Now, I’m not saying these models are not at all useful. Smart modelers have determined ways of lining up their assumptions with observations of the real world (often, modelers must predict what we already know to verify their assumptions - i.e. does it work?).His context is science, but it could be sociology, psychology, political science, linguistics. Any time you see a study or hear an assertion by some expert, it may be completely wrong, based solely on assumptions and not even considering self-interest that can drive the person to try spinning reality to his or her own advantage.
Here, the same problem exists - how do you, the science journalist, determine which of these assumptions could bring the entire model crashing down? Furthermore, if such an linchpin exists, is it an important one? How important? Is it likely to be incorrect? How likely? Unfortunately, these questions have no definitive answers, except with respect to each other, and with respect to the particular researcher.
Labels: polls, statistics, studies
Labels: blogging, blogs, craft, statistics, writing