The problem is that small businesses lag by 1-2 months reporting them, so the initial number being reported is almost always irrelevant, as it mostly applies to numbers coming out of larger corporations.
That doesn't mean they don't warrant error bars.
Error bars aren't there to show that you didn't do a good job collecting the data, they're there to show your level of uncertainty.
Moot point as the people who actually act on the data understand how to roll their own anyway.
Except that those things are constant from month to month, so deltas largely cancel them out.
The problem isn't in the size of the possible errors, but in understanding what those numbers mean and how they are gathered. That requires far more background reading.
If the error bars are large, that is important information to know.
The data is available. If it were important to the causal reader, however, then those casual readers would have already demanded its presence. But they don't care. What difference does it make to Hilary Homemaker? She just wants to get to say "Did you hear about the bad economic news?" when gossiping with her friends.
Those who need to understand the uncertainty will already be looking at more than a news headline anyway.
"What sort of startups should I fund?"
"Should my business aggressively hire this quarter anticipating growth, or hold out for a possible recession?"
As for businesses hiring, they should hire based on their own growth. Using an external signal that itself gets adjusted drastically is similarly problematic; I don’t hire because I think no one else is hiring and the numbers get majorly adjusted up. Similarly I hire a bunch of people and it turns out no one else hired.
No one benefits from faster numbers that are majorly shifted in a few months anyway. You wouldn’t make any different decision if no one had the numbers. The only thing you’re doing differently is when the numbers come out your gambling whether or not you think the true number will be revised in some major way in a few months. That’s not helpful for the economy writ large.
It is literally calling/writing 60,000 people and asking "are you employed? did you look for a job? Etc."
"How the government calculates unemployment" [0]
| Does anyone in this household have a business or a farm? | Last week, did you do any work for (either) pay (or profit)? | If the answer to question 1 is "yes" and the answer to question 2 is "no," the next question is: | Last week, did you do any unpaid work in the family business or farm? | For those who reply "no" to both questions 2 and 3, the next key questions used to determine employment status are: | Last week, (in addition to the business) did you have a job, either full or part time? Include any job from which you were temporarily absent. | Last week, were you on layoff from a job? | What was the main reason you were absent from work last week? | For those who respond "yes" to question 5 about being on layoff, the following questions are asked:
GDP too. That's how you can get more accurate information, and you have actual numbers on the discrepencies.
They rely on the household data more because it doesn't have as much systemic error, even though it does have more sampling error. Asking businesses gives you a more complete picture, but it has much more bias.
Hell, this is why even in accounting, you have double-entry bookkeeping, and even there, the numbers don't always match up.
Or "my bank account doesn't match up with my cashflow statement".
It's not that one is better and you should use that, calculating multiple ways is central to accounting so you can detect errors.
https://www.cnn.com/2025/06/05/economy/cpi-data-bls-reductio...