Study: No evidence of manipulation of Chinese Covid-19 data

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Study: No evidence of manipulation of Chinese Covid-19 data
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BEIJING (Xinhua): There is no evidence of manipulation of China's Covid-19 data using Benford's law, and its data should be used not only for calibration of models to inform policy measures to slow infection, but also guide policy in other countries, researchers have claimed.

The study dated Tuesday was conducted by Christoffer Koch, a senior research economist at the Federal Research Bank of Dallas and Ken Okamura, a researcher with the University of Oxford's Said Business School.

Benford's Law is used to detect fraud or flaws in data collection based on the distribution of the first digits of observed data. The study found that"China's distribution of first digits for confirmed cases is in line with Benford's Law...it also matches the distribution found in the United States and Italy."

The paper pointed out that the ongoing doubts over the credibility of China's data are problematic as"it impacts subsequent policy choices by countries that saw epidemics later."

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