Word: randomized
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Dates: during 2000-2009
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...under the influence. But other jobs should clearly be given only to the perpetually sober: we don't want our railroad operators or nuclear-plant employees to be smoking up on the job. So it seems appropriate that U.S. employees in those high-risk positions are routinely subjected to random drug-testing...
...what about people who work in less perilous, if equally unpredictable, environments - say, with children in public schools? Should teachers be randomly drug-tested too? Yes, says Linda Lingle, the Republican governor of Hawaii, where the teachers' union agreed in 2007 to negotiate terms of a new drug-testing program in exchange for higher wages. Now some Hawaii teachers are resisting. (So far, no drug tests have been administered.) The contentious issue of teacher testing has also become the subject of recent court cases in North Carolina and West Virginia, where educators argue that the cost and time taken...
...seems a ripe time for novel podcasting to grow. Traditional book publishers are struggling. Book sales are down; MacMillan has laid off employees, as have Random House and Simon & Schuster; and Houghton Mifflin Harcourt has suspended the purchase of most new manuscripts. With advance money drying up as well as contracts, Terra says that aspiring writers now feel that "maybe I should try something on my own" and build an audience online...
Scott Sigler of San Francisco also missed out on getting his first novel published, with a deal collapsing in late 2001. But like Hutchins, he built a big Internet fan base on novel podcasting, which led to a 2007 deal with The Crown Publishing Company (a division of Random House), one believed to be in the hundreds of thousands of dollars. Sigler reached a milestone this month by cracking the New York Times Hardcover Fiction bestseller list with Contagious, a first for an author emerging from the podcast genre. The print run for Contagious is 80,000 copies...
Anger, by contrast, usually makes people more willing to take risks. Harvard public-policy professor Jennifer Lerner has shown this in a series of papers. She and her colleagues gave random groups of people a classic risk test in which they were asked how they would respond to a disease outbreak expected to kill 600. The subjects were told that if program A were adopted, 200 people would be saved and 400 would die, and that if program B were adopted, there would be a one-third probability that all 600 would live and a two-thirds probability that...