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Suspend airport body scanner program, privacy groups say - 0 views

  • Based on the discussions at the event, it is evident that body scanners can be easily defeated by concealing explosive materials in body cavities, the letter says. There is also little information on the health risks posed by the use of such scanners, according to the letter. The fact that the systems can be configured at any time to record and store images of travelers also raises privacy questions, the letter says. "The public does not currently understand the inability of these devices to detect the types of explosive materials that could be used or the possible risks to privacy and health," Rotenberg and Nader wrote. "The Department of Homeland Security has made significant mistakes with similar programs in the past," they added, citing as an example the agency's discontinued effort to equip airports with so-called explosive trace portals (ETP), which are designed to detect traces of explosives on travelers' clothing.
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    "The Electronic Privacy Information Center and consumer advocate Ralph Nader are urging President Obama to review the administration's plans to install whole body scanners at U.S. airports. In a joint letter, Marc Rotenberg, the president of EPIC, and Nader asked the president to suspend deployment of the devices until a "comprehensive evaluation" of the effectiveness of the technology and potential health hazards, is completed."
Skeptical Debunker

Radar Map of Buried Martian Ice Adds to Climate Record - NASA Jet Propulsion Laboratory - 0 views

  • The ability of NASA's Mars Reconnaissance Orbiter to continue charting the locations of these hidden glaciers and ice-filled valleys -- first confirmed by radar two years ago -- adds clues about how these deposits may have been left as remnants when regional ice sheets retreated. The subsurface ice deposits extend for hundreds of kilometers, or miles, in the rugged region called Deuteronilus Mensae, about halfway from the equator to the Martian north pole. Jeffrey Plaut of NASA's Jet Propulsion Laboratory, Pasadena, Calif., and colleagues prepared a map of the region's confirmed ice for presentation at this week's 41st Lunar and Planetary Science Conference near Houston. The Shallow Radar instrument on the orbiter has obtained more than 250 observations of the study area, which is about the size of California. "We have mapped the whole area with a high density of coverage," Plaut said. "These are not isolated features. In this area, the radar is detecting thick subsurface ice in many locations." The common locations are around the bases of mesas and scarps, and confined within valleys or craters. Plaut said, "The hypothesis is the whole area was covered with an ice sheet during a different climate period, and when the climate dried out, these deposits remained only where they had been covered by a layer of debris protecting the ice from the atmosphere."
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    Extensive radar mapping of the middle-latitude region of northern Mars shows that thick masses of buried ice are quite common beneath protective coverings of rubble.
mixawy late

Couple shot, killed in carjack attempt at Miami Gardens gas station - 0 views

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    stop at a gas station in Miami Gardens early Monday left a young couple dead when a group of carjackers tried to steal their souped-up car. The men were apparently after 23-year-old Julian Soler's prized 1997 white Mustang Cobra, police said. Miami Gardens police said Soler's girlfriend, Kennia Duran, 24, saw the men shoot her boyfriend before pulling her out of the car and fatally wounding her, too. Detectives called the double murder "cold-blooded." "There was no need to kill them," police spokesperson Rafael Suarez said. No arrests have been made.
Skeptical Debunker

We're so good at medical studies that most of them are wrong - 0 views

  • Statistical validation of results, as Shaffer described it, simply involves testing the null hypothesis: that the pattern you detect in your data occurs at random. If you can reject the null hypothesis—and science and medicine have settled on rejecting it when there's only a five percent or less chance that it occurred at random—then you accept that your actual finding is significant. The problem now is that we're rapidly expanding our ability to do tests. Various speakers pointed to data sources as diverse as gene expression chips and the Sloan Digital Sky Survey, which provide tens of thousands of individual data points to analyze. At the same time, the growth of computing power has meant that we can ask many questions of these large data sets at once, and each one of these tests increases the prospects than an error will occur in a study; as Shaffer put it, "every decision increases your error prospects." She pointed out that dividing data into subgroups, which can often identify susceptible subpopulations, is also a decision, and increases the chances of a spurious error. Smaller populations are also more prone to random associations. In the end, Young noted, by the time you reach 61 tests, there's a 95 percent chance that you'll get a significant result at random. And, let's face it—researchers want to see a significant result, so there's a strong, unintentional bias towards trying different tests until something pops out. Young went on to describe a study, published in JAMA, that was a multiple testing train wreck: exposures to 275 chemicals were considered, 32 health outcomes were tracked, and 10 demographic variables were used as controls. That was about 8,800 different tests, and as many as 9 million ways of looking at the data once the demographics were considered.
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    It's possible to get the mental equivalent of whiplash from the latest medical findings, as risk factors are identified one year and exonerated the next. According to a panel at the American Association for the Advancement of Science, this isn't a failure of medical research; it's a failure of statistics, and one that is becoming more common in fields ranging from genomics to astronomy. The problem is that our statistical tools for evaluating the probability of error haven't kept pace with our own successes, in the form of our ability to obtain massive data sets and perform multiple tests on them. Even given a low tolerance for error, the sheer number of tests performed ensures that some of them will produce erroneous results at random.
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