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Application hotspots: zero tolerance for false statistics, improve statistical credibility

2019-12-27 10:47:56 | Source: Chinese Education
| Background link *

In October 2019, the National Bureau of Statistics released the "Statistical Law of the People's Republic of China (Amendment)" (draft for comments), which is open for public comment. The Consultation Draft made 52 amendments to the relevant provisions of the Statistical Law. This is the third revision of the statistical law since its adoption in 1983. This revision is not only the legalization of the spirit of policy documents issued by the Party Central Committee and the State Council in various statistical fields in recent years, but also a legal solution to the hot issues in statistical practice. Among them, curbing the creation of false chaos and improving the credibility of statistics are the focus of public debate.

Interpretation of the public in the public examination perspective *

[Make a point]

Strict accountability must be imposed on the operators behind the scenes with zero tolerance for statistical fraud, to ensure the authenticity of statistical data, and to enhance statistical credibility.

[Comprehensive analysis]

Whether it is the average wage or the price index, what the statistical data "speaks" seems to always feel different from the public, so it is often talked about. The credibility of statistics lies in the truth of its "plain face". Statistics should not be little girls dressed up. Unfortunately, data distortions and falsehoods have not yet been eliminated. Statistics that are falsely reported or misrepresented are not uncommon. A few local and individual cadres have a weak awareness of the rule of law, and fraud and the impact on the accuracy of statistical data are still prominent.

Distorted statistical data, in addition to objective factors such as repeated statistics, multiple counting and incomplete basic data, the deeper reason is still the distorted view of performance of "digital figures, official figures". The first is to want to make fakes-to lead political achievements, even under pressure to assess, because the data is important to look at, so there is an incentive for statistical fakes. The second is to be able to falsify-using power to interfere with statistical work, to force or instruct relevant institutions and personnel to refuse to report, make false reports, conceal or tamper with statistical data, and make up false data. The last is to dare to fake-because the risk of statistical fraud is small and the benefits are large, after the incident, Eastwind can also blame the "individual staff".

Distorted statistical data will directly mislead decision-making departments to judge the economic situation, so zero tolerance is necessary.

[Countermeasures]

Build a supervision system that cannot be faked. The credible statistics cannot be dressed or put on makeup. In order to restore the authenticity of the data, the key is to build a system that does not dare to counterfeit, to fail to counterfeit, to not want to counterfeit, and to allow supervision and supervision, judicial supervision, audit supervision, and public opinion supervision to work together to form a joint force of supervision.

Establish a responsibility system and accountability system for preventing and punishing statistical fraud. Statistical work insists that both the party and the government should be held accountable, and that they should be held accountable for failure to perform their duties. The places, departments, and units that falsify statistics should be held accountable for those responsible and directly responsible personnel.

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source:

People's Financial Review: Zero tolerance for false statistics, this step is solid

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