Researchers have found that large language models can answer surveys and pass the tests to check that a respondent is human. What does this mean for pollsters? https://t.co/RG3kygty8ZIllustration: Ben Hickey https://t.co/1BK7NRSJeN ...

Pollsters are facing yet another challenge: large language models that can answer surveys as a human would, often undetected https://t.co/VjAXJ1Eg4y ...

Researchers have found that large language models can answer surveys and pass the tests to check that a respondent is human. What does this mean for pollsters? https://t.co/cngINXXxjM ...

Some surveys are starting to show a fall in America’s obesity rates. But as with all surveys, these findings come with caveats https://t.co/vybnmooT8T ...

The US Bureau of Labor Statistics has been struggling for some years now with low response rates to surveys that underlie key economic indicators https://t.co/MNWRuZUsCQ ...

Data Reliability Concerns - Economic data inherently contains noise and uncertainty due to its reliance on surveys [1] - The level of noise and uncertainty in economic data has increased in recent years [2] - CPI data is not typically revised, meaning the initial number is considered final, although seasonal factors are adjusted [2][3] Jobs Data Revisions - The birth-death model, a significant factor in job creation calculations, has shown a substantial increase in annual revisions [3] - The annual revision for jobs data has increased from approximately 5,000 to almost 300,000 in recent years, representing a roughly 6000% increase in error size [3] Call for Improvement - There is a need to improve the reliability, believability, and credibility of economic statistics [3]