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China investigates five people for data leaks
CHINA has begun an investigation into the illegal leak of national economic data and five people have been put under investigation, an official with the Beijing People's Procuratorate said.
Among the five is a secretary of the National Bureau of Statistics, who was mentioned last week by the bureau spokesman Sheng Laiyun, said Zhang Huawei, Beijing attorney general.
But Zhang did not disclose names and titles of other suspects other than that they came from different departments, a report on Chinanews.com said today.
While releasing May's economic data at last week's press conference, Sheng condemned the illegal leak of the national data. He said one bureau official was under investigation.
A mole in the bureau was first suspected last year when Reuters reported China's consumer prices precisely several times before their official release, attributing them to "unnamed resources" or "key government officials." Reuters was thus dubbed "Paul, the Octopus" in China.
To avoid further embarrassment, Sheng said the bureau will tighten its confidentiality measures and may shorten the period between data production and release.
Among the five is a secretary of the National Bureau of Statistics, who was mentioned last week by the bureau spokesman Sheng Laiyun, said Zhang Huawei, Beijing attorney general.
But Zhang did not disclose names and titles of other suspects other than that they came from different departments, a report on Chinanews.com said today.
While releasing May's economic data at last week's press conference, Sheng condemned the illegal leak of the national data. He said one bureau official was under investigation.
A mole in the bureau was first suspected last year when Reuters reported China's consumer prices precisely several times before their official release, attributing them to "unnamed resources" or "key government officials." Reuters was thus dubbed "Paul, the Octopus" in China.
To avoid further embarrassment, Sheng said the bureau will tighten its confidentiality measures and may shorten the period between data production and release.
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