After a tough loss in Cincinnati, in a post-game press conference, legendary Chicago Bears coach Mike Ditka blurted out "Statistics are for assholes!" in response to a reporter's question in which the scribe quoted some game stats. While I'm not in full agreement with Iron Mike's proclamation in this matter, I do believe that there is a general proclivity for individuals and other entities to selectively abuse and distort data to enhance certain narratives, positions, and worldviews. While our major political parties, the Democratic Party and the Republican Party, certainly support differing ideologies, they both are equally guilty of employing opaqueness and diversionary tactics when they are confronted with data that puts them in a negative light. A classic example of this would be the games played by both the Trump Administration and Biden Administration as concerns the unemployment numbers and the new jobs report churned out every month by the Bureau of Labor Statistics.
The BLS unemployment data comes from the Census Bureau's Current Population Survey, which interviews about 60,000 eligible households each month. The main figure, the headline number that voters, market participants, and policymakers hang their respective hats on, is known as the U-3. This metric is deeply flawed and in no way does it accurately measure the health of the economy. It may make politicians look good, but the U-3 measurement is grossly simplified and it distorts the true level of economic hardship. For purposes of the U-3, a person is classified as unemployed if and only if they are currently available to work and have looked for a job in the last four weeks. A part-time employee who might find only one hour of work per week is treated as employed in the U-3 formula. While individuals who've given up looking for work aren't even counted as unemployed. If you have an extremely low unemployment rate because you've got a whole bunch of people who don't think they'll be able to find jobs, that's not a healthy labor market. That's a discouraged labor market. Does reliance on the U-3 make any sense at all?
The BLS has another metric - called the U-6 - that is much more comprehensive and revealing, even though it's rarely if ever, mentioned by the corporate media and economists. The U-6 factors in the unemployed who have given up looking for a job, as well as workers who settled for part-time employment but would rather work full-time. The U-6 rate tends to be at least double the headline U-3 rate. So, why is a single, simplistic unemployment statistic (U-3) used to gauge the condition of the job market? Politics, my friend. Like almost everything related to the economy, it's political. The government would rather announce a jobless rate of 3% or 4%, not 10% or 12%.
And then there is the "True Rate of Unemployment" (TRU) generated monthly by the Mises Institute, a nonprofit think tank, that measures the percentage of the U.S. labor force that is "functionally" unemployed. Using data compiled by the Bureau of Labor Statistics (BLS), the True Rate of Unemployment tracks the percentage of the U.S. labor force that does not have a full-time job (35+ hours a week) but wants one, has no job, or does not earn a living wage, conservatively pegged at $25,000 annually before taxes. The TRU rate currently stands at 24.5%, approximately six times the standard U-3 rate. There are obviously millions of underemployed workers whose jobs pay poverty wages or don't make use of their abilities. The headlines say the job market is strong, but it's not true. We have to start talking about the quality of the work that is available to people.
Next, we'll turn our attention to another government-generated statistic that is consistently inaccurate and thus disingenuous. On the first Friday of every month, the aforementioned Bureau of Labor Statistics releases the "Employment Situation Summary," colloquially known as the employment report, or jobs report. For a couple of years now, seldom without fail, the business media machine has proclaimed blow-out numbers for exceeding expectations. The surprising numbers, almost always to the upside, then proceed to goose the buying fever on Wall Street and even many disciplined investors succumb to FOMO (Fear of Missing Out).
Also seldom without fail, the monthly numbers are revised downward when the subsequent month's numbers are released. The revisions don't garner much fanfare and are essentially ignored by market participants. The size and frequency of the adjustments are most likely attributable to faulty assumptions in the birth/death model for businesses. This subjective estimate for business openings and closings has been totally out of sync with the anecdotal evidence emerging from the labor market. Data revisions have subtracted more than 650,000 jobs over the past 18 months. It should also be noted that negative data revisions usually cluster during recessions.
When one takes the time to do some digging and look under the hood, things don't look as rosy as we are led to believe. The jobs economy is following a pattern that began in December 2023: namely, full-time jobs are disappearing, and the "job growth" reported so enthusiastically by the mainstream media is virtually all part-time jobs. Year-over-year measurements of full-time jobs have fallen into a territory typically associated with recessions. Over the past year, total part-time jobs have increased by 1.4 million. During the same period, full-time jobs fell by more than 1.3 million. Moreover, nearly a quarter of new payroll jobs are government jobs. Are these signs of a robust economy? I think not.
Time to tie a bow on this blog. So, what is the moral of the story? That's easy: Take with a grain of salt, or more likely a boulder of salt, any and all economic statistics released to the public by the various agencies of the United States government.