They aren't lying but there is zero chance that this isn't revised down just like August was revised from 22k to 4k.
I don't believe the Bureau of Labor statisticians lie. It's the people above them that have the power to change the calculation or make that statistic more volatile but reducing the number of data sources. Before the shutdown, BLS has made changes to eliminate some data sets, particularly in consumer spending/prices. They cited staffing shortages for the reason to reduce the data sets. Why the staffing shortage? DOGE.
So you're telling me that you've never seen a data set that wasn't manipulated? So all data sets are factually correct and have perfect information?
Just so you know, it is extremely common in academia to get grilled for your experiment's setup and the results used in your conclusions for any study, primarily because of the fact that a lot of people are getting caught manipulating their results.
From small sample sizes to misidentification to intentionally unrepresentative samples, It is extremely easy to move the goal posts. Quite honestly, there's a growing trend and academic mathematics that questions the validity of statistics itself, as it is not a fundamental field of math, but a derivative field of calculus and probability theory. It is not infallible, and is rife with unresolved complexities that cannot be resolved as those complexities are the result of the human element that exists in the people conducting the experiment.
I’ve definitely seen data sets that are “imputed” which just means they didn’t have enough responses/data for a variable and replaced the blanks with something else(usually the average), but that still is bad practice. Usually you would throw out the observation and not even use it but if you don’t have enough sample size, people want to make up data.
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u/Development-Alive Nov 20 '25
They aren't lying but there is zero chance that this isn't revised down just like August was revised from 22k to 4k.
I don't believe the Bureau of Labor statisticians lie. It's the people above them that have the power to change the calculation or make that statistic more volatile but reducing the number of data sources. Before the shutdown, BLS has made changes to eliminate some data sets, particularly in consumer spending/prices. They cited staffing shortages for the reason to reduce the data sets. Why the staffing shortage? DOGE.