Trust Government Statistics, Not Government
Why Government Statistics Should be Trusted Despite Expert Failures
The recent trend of “expert failure” has brought scrutiny to various fields, including economics. While skepticism towards government data is on the rise, it’s important to distinguish between the government’s ability to solve economic problems and its capacity to handle technical issues.
Economic problems involve trade-offs and complex decision-making, which markets are better equipped to handle through prices and competition. On the other hand, technical problems have clear objectives and are more suited for government intervention. This distinction explains why we can trust agencies like the Bureau of Labor Statistics to provide accurate employment figures despite our skepticism towards economic planning.
Governments excel at solving technical problems with singular goals, such as measuring data accurately. The Bureau of Labor Statistics, for example, operates independently and has a track record of accuracy in reporting employment figures. While debates exist on what should be included in measurements like GDP or CPI, the technical competence of data collection remains sound.
Classical liberals may be wary of government intervention in the economy, but dismissing government statistics outright overlooks the technical expertise involved in data collection. While private sector alternatives may exist, government data remains a reliable source for various industries, including finance.
In conclusion, while governments may not be trusted to plan economies, government statistics, particularly in the US, have proven to be accurate and reliable. It’s important to separate technical competence from economic planning when evaluating the trustworthiness of government data.
