Word: faulting
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...economies an excuse for technological improvement. So while Japan invests in high-tech skyscrapers designed to withstand the inevitable next earthquake, the West Sumatran capital of Padang - which scientists long predicted would be shaken by a killer quake because it sits astride one of the world's most active fault lines - was crowded with poorly built buildings that crumbled when the earth shuddered on Sept. 30. Similarly, in the Philippines, the vast flooding triggered by Ketsana was largely the result of insufficient drainage. In fact, the U.N. estimates that when equivalent populations in the Philippines and Japan endure the same...
...there are more than 200, which allow seismologists to more immediately pin down the size and strength of an earthquake as it happens. Many of those sensors have also been equipped with global-positioning system add-ons, which can determine the rate at which a quake has caused a fault to slip. Scientists in the Bay Area have also dug several deep trenches that expose rock layers that have been deformed by quakes - that helps give them a better sense of how often earthquakes hit and when the next one may come. Scientists still can't predict earthquakes...
...course, SEI found fault with Harvard's endowment management practices, grading the University a C on endowment transparency. Apparently, Harvard makes endowment holdings "available only to trustees and senior administrators." By this parameter, Harvard will have to settle for being just above average—a scathing...
...wasn't Barack Obama's fault that the Nobel Committee awarded him the Peace Prize, and it needs little imagination - looking at the first reactions to the honor in the U.S., which were hardly positive - to believe that the award was one that he would rather not have been granted. But granted it was, and Obama had to say something about it. Without being showy or dynamic, his brief speech in the White House Rose Garden...
...maybe it's because they were overpaid before? That is unlikely. At least from a statistical point of view, we made sure as much as possible that we didn't compare apples and oranges. We studied large layoffs, where workers who did not lose their jobs because of some fault of their own, and then we compared them to workers who had similar earnings trajectories and similar industry and age profiles...