Calculation errors casts doubt on TSA Backscatter safety

It is reported in the past week on Wired.com and CNN that the TSA in the United States is to conduct extensive radiation safety tests on their recently introduced backscatter full body scanners (affectionately known as the “nudie scanner” in some quarters).

An internal review of the previous safety testing which had been done on the devices revealed a litany of

  • calculation errors,
  • missing data and
  • other discrepancies on paperwork

In short, Information Quality problems. A TSA spokesperson described the issues to CNN as being “record keeping errors”.

The errors affected approximately 25% of the scanners which are in operation, which Wired.com identifies as being from the same manufacturer, and included errors in the calculation of radiation exposure that occurs when passing through the machine. The calculations were out by a factor of 10.

Wired.com interviewed a TSA spokesperson and they provided the following information:

Rapiscan technicians in the field are required to test radiation levels 10 times in a row, and divide by 10 to produce an average radiation measurement. Often, the testers failed to divide results by 10.

For their part, the manufacturer is redesigning the form used by technicians conducting tests to avoid the error in the future. Also, it appears from documentation linked to from the Wired.com story that the manufacturer spotted the risk of calculation error in December 2010.

Here at IQTrainwrecks.com we are not nuclear scientists or physicists or medical doctors (at least not at the moment) so we can’t comment on whether the factor of 10 error in the calculations is a matter for any real health concern.

But the potential health impacts of radiation exposure are often a source of concern for people. Given the public disquiet in the US and elsewhere about the privacy implications and other issues surrounding this technology any errors which cast doubt on the veracity and trustworthiness of the technology, its governance and management, and the data on which decisions to use it are based will create headlines and headaches.

 

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