A Very Robust Long-term US Labor Market (1970-2021)

A Dozen False Claims of Journalists, Analysts and Pundits

Job growth is too slow, there are not enough jobs.

All of the good jobs are gone, there are fewer good jobs.

The only growth has been in “low wage”, service jobs.

There are no “blue collar” jobs, no “hands-on” work is available today.

Jobs are all “dumbed down”, no real content remains.

Automation, computers and artificial intelligence are eliminating all jobs.

There is no room for advancement at work.

The economy is inherently stagnant, firms are unable to create new positions.

We’ve become a nation of shopkeepers.

There’s no hope for millennials in the job market, Boomers are leaving a disaster.

More and more jobs are subject to the “imposter syndrome”, they really do nothing.

This time is different, we have reached the “end times” for jobs.

The Data Says …

The US Census Bureau and the US Bureau of Labor Statistics attempt to measure the detailed occupations in the evolving US labor market. I have selected 1970 as a baseline because it is effectively prior to the “computer revolution” and within my lifetime of observing the labor market. The US economy was still essentially in the post WWII boom period with manufacturing clearly the most important industry in 1970. Prior to Japanese or Chinese competition. Prior to the “energy crisis” and environmental concerns. Prior to improved social, political and economic opportunities for women, racial and other minorities.

We had 153 million people working in the US labor market in 2021.

https://www.bls.gov/cps/cpsaat11.htm

We had 75-77-79 million people working in 1970.

https://www.census.gov/content/dam/Census/library/publications/1984/demo/pc80-s1-15.pdf

The total measures and the detailed measures are somewhat inconsistent between 1970 and 2021. But, they are adequate to make basic comparisons. The labor force doubled in 50 years. 75 million new jobs created! 15 million new jobs each decade. 1.5 million new jobs each year, on average.

The detailed occupation categories have also changed. The 500+ categories in 1970 are very different from 2021, but the basic measures are roughly consistent. I have mapped the 1970 categories onto the 2021 categories. In 1970, the “undefined” responses were in the 10% range and not reallocated back to the detailed occupations as is done currently. Self-employed individuals were measured differently. Managers and supervisors were measured differently. The current definitions are better aligned with the current jobs. The 1970 categories provided much more detail on the manufacturing sector.

Employment by Job Level

Total employment more than doubled.

The highest level “manager/supervisor” jobs category nearly tripled. 18 million manager/supervisor jobs were added between 1970 and 2021. In 1970, there were 10 million manager/supervisor jobs; 13%, or one out of every 8 positions. The newly added positions are 24% of the labor force in 1970. The 28 million current manager/supervisor roles are 37% of the total 1970 work force. Opportunity, indeed. In 2021 terms, manager/supervisor roles are 18% of the work force, more than one of every six positions.

Professional jobs (college degree plus required) also tripled, growing from 14 to 41 million, an increase of 27 million new jobs. This increase is 36% of the 1970 work force. The manager, supervisor, professional subtotal is 23 million in 1970 (31% of the total). It has grown to 69 million (3X) in 2021, reaching 45% of the labor force. The number of “premium” jobs tripled, while the share of “premium” jobs increased by almost 50% in this half-century. Good news, indeed.

“Skilled” labor jobs were flat across 50 years, declining as a share of total jobs by one-half, from 10% to 5% of the economy. However, their neighbor, technical jobs, increased faster than the economy, adding 10 million high quality positions. The combined skilled labor (trades) and technician/technical level positions increased from 15 to 25 million, overall. This two-thirds growth is slower than the overall labor market’s doubling. Hence, this job level decreased from 20% to 16%, or from one in five to one in six positions. This is a “glass half-full or half-empty” situation. The 14% of the total labor market growth for premium positions is offset by a 4% decline in middle skilled positions, resulting in a 10% increase of combined middle and premium positions as a percentage of the total.

Lower skill level jobs accounted for nearly half of all jobs in 1970; 37 of 75 million. They comprised a decreased 39% of the total in 2021, 59 million out of 153 million. A smaller share of “lower skill” jobs seems like progress. Yet, even here, we have a growing labor market, with 59 million jobs in 2021 versus just 37 million jobs in 1970; 50% more.

The “physical labor” category grew from 22 to 32 million jobs, but it declined from 30% to 21% of the work force. Relatively fewer jobs, absolutely more. The clerical workforce encountered a similar, but less extreme change, growing from 11 to 15 million jobs, but declining from 14% to 10% of the work force. The “service sector” grew twice as fast as the overall economy, increasing from 4 to 12 million jobs and from 6% to 8% of all jobs. The “service sector” is growing disproportionately, but it is a relatively small part of the overall economy, just 8% of the total in 2021.

In total, the lower skilled clerical, labor and service groups combined, grew from 37 million to 59 million positions, but declined from 49% to 39% of all jobs. I see this as progress and look forward to the next half century reducing this category to just 30% of all US jobs.

At the detailed level, we have 70 occupations driving 62 million new jobs, 82% of the 1970 base. We also have 27 occupations experiencing a 12 million jobs loss, 15% of the 1970 base. Joseph Schumpeter’s “creative destruction” model of a dynamic economy is validated. Changes in demand and technology eliminated 12 million jobs, 15% of the total, across 50 years. The US economy is capable of permanently destroying and replacing a quarter million positions each year, about one-fifth to one-third of one percent of total employment.

Let’s go back to the dozen negative claims. Is there support in the details? Are there “good” jobs being destroyed? I only see declines due to “natural causes”: improved IT, telecom, process/quality/manufacturing, international trade, railroad, textile automation/imports, ag productivity, printing and DIY office options.

On the upside, what do we see? Management and supervisor roles growing in all areas in a more complex environment with higher sales volume, more products, faster product introduction, more exports, more outsourcing of functions, greater customer demands in all dimensions, global sourcing and competition.

Technology supplemented/infused positions at all levels. Cashiers, customer service reps, distribution employees, tellers and drivers today leverage IT systems and processes.

Increased specialization/technical skill in many service/technical areas. Retail terminals. WMS. HRIS. EDI. Customer service scripts. Web based transactions.

Increased professional skills, sophistication and impact in all areas.

More professional teachers, nurses, analysts, accountants, lawyers, HR, real estate and financial advisors.

Diverse technical computer, automation, lab, design, legal, teaching, culinary and design technical positions.

More medical, food service and personal care service roles.

Summary

In the last 50 years the US labor market has doubled in size and added an increasing share of managerial/professional/technical positions.

In my next blog, I’ll focus on the next level of detail: 17 categories of the US labor market.

Dynamic Labor Market: 1970

Total employment in 1970 was 77M. 4% of that market, 2.8M jobs, essentially disappeared in the next 50 years.

Elevator operators: 1K.

Blast/powder operators: 7K.

Porters, bellhops: 14K.

Auctioneers, hucksters: 12K.

Riveters, blacksmiths, furnaces, forgers, shipfitters: 65K.

Fishers: 74K.

Rail Workers: 216K.

Printers, typsetters, book publishers and news delivery boys: 261K.

File clerks, office machine operators, typists, keypunchers: 2,162K.

Economy: Solid Landing

https://aviationweek.com/defense-space/sticking-landing-us-navy-software-eases-aircraft-carrier-landings

It’s time to revisit the state of the US economy. The media and stock market are overreacting to the positive news today that the US economy added about 250,000 jobs in September. Pundits and investors deem this as a “too hot” labor market which will drive higher inflation and force the Federal Reserve Board to further increase interest rates to slow the economy. We need to look at history, components of the economy and specific measures carefully to evaluate our position.

In a nutshell, the US Congress and President spent so much to offset the pandemic that we have classic inflation from higher demand and lower supply. At the same time, the Fed increased the money supply and lowered interest rates to zero to ensure that the banking sector did not provide a “credit crunch” to businesses or households. Foreign governments and banks acted similarly. This allowed the world economy to work through the pandemic with minor negative effects. However, the boost to the economy was too much and governments and central bankers were slow to reduce the stimulus they provided. The world was tightly focused on “recovering” to the pre-pandemic GDP and employment levels during 2021, so major changes in government spending and the money supply were not implemented until near the end of 2021. By the start of 2022, it was clear that growth was unsustainable and inflation was rising quickly, so policy makers needed to adjust. They have now done so and the impacts can be seen. So far, the economy is slowing, official recession or not, to low/zero growth and looks to remain at that level through the end of 2022 with low/slow growth expected in the first half of 2023.

We can call this a “soft landing”. We can call this a “growth recession”. We can call this a “recession” or a “recessionette”. There is no evidence of a “major recession” with 2% GDP declines or 3% unemployment rate increases or “50% declines” in housing starts or bank lending freezes or massive industry balances to liquidate or … Inflation is high and seems to have peaked. It is not coming down as quickly as most experts (or me) predicted during the first half of 2022, but many factors indicate that we are not in a self-perpetuating inflationary spiral.

https://fred.stlouisfed.org/series/GDPC1

With the benefit of hindsight, real GDP growth during 2018-19 was somewhat above trend and unsustainable. A 2% excess output doesn’t seem like much, but it does matter. The economy at the end of 2021 was in roughly the same place with 3.5% style unemployment. 4Q, 2021 was more than $1 trillion higher (5%) than 4Q, 2020. 5% real annual economic growth is very rare for a large, modern, developed economy. This was after the immediate pandemic bounce. The 3rd and 4th quarters of 2022 are likely to be reported as essentially flat with the 2nd quarter. Consensus forecast is near zero growth in the first half of 2023, returning to 2-3% growth in the second half.

https://www.conference-board.org/research/us-forecast#:~:text=This%20outlook%20is%20associated%20with,percent%20year%2Dover%2Dyear.

https://seekingalpha.com/article/4514734-soft-landing-in-economics

https://www.npr.org/2022/07/24/1112770581/inflation-recession-soft-landing-rates-jobs-fed

https://www.washingtonpost.com/business/energy/why-fed-aim-is-growth-recession-a-not-soft-landing/2022/09/01/c85e9eb8-29c3-11ed-a90a-fce4015dfc8f_story.html

https://www.cnn.com/2022/09/26/investing/premarket-stocks-trading

https://www.bloomberg.com/news/articles/2022-09-13/jpmorgan-says-soft-landing-not-recession-base-case-for-markets

https://fred.stlouisfed.org/series/FYFSD

Federal spending added $2 trillion to aggregate demand in each of the first two pandemic years. In retrospect, too much extra demand.

https://www.cbo.gov/publication/58416

US government budget deficit will be $2 trillion lower in the fiscal year ending September, 2022. This is good news. The “excess” spending was capped more than one year ago, so the trend rate is part of the current core economy. “Excess government spending” is not driving inflation today. It contributed to the inflationary build-up during 2021 into the first half of 2022 (economic stimulus works with a lag effect).

https://fred.stlouisfed.org/series/PCEDG
https://fred.stlouisfed.org/series/CUSR0000SAD

The increased money in consumers’ pockets lead to a 30% increase in purchases of durable goods. Consumers had money. They were afraid to consume in-person services. They bought stuff. They’re still buying stuff. The transition from buying goods to buying services has been slower than expected. This has led to extended supply chain disruptions (globally), higher demand for many commodities and increased goods prices which feed higher inflation and higher demand for labor. The total demand for durable goods has flattened and prices have stopped increasing. This is a much-improved situation from late 2021.

https://fred.stlouisfed.org/series/PSAVERT

Consumers did save some of their extra earnings during 2020 and the first half of 2021, but as prices increased and services became available, consumers chose to spend more and reduce their savings rate down to just 4% of income, well below the 7-8% of the prior expansion period. So, part of the “excess demand” in late 2021 was the drawdown of savings. That cannot happen again. It’s possible that low consumer confidence will reduce spending in the next year, but flat spending is more likely.

https://fred.stlouisfed.org/series/ISRATIO

Most business cycle recessions show a clear build-up and subsequent liquidation of business inventories. Inventories were reduced (involuntarily) in the recovery from the pandemic and have increased a bit since then. There is no current indication of a pending “inventory recession”. In a “zero growth” retail holiday sales season, there will be some eternally optimistic retailers that have to cut prices to move goods, but this happens nearly every year.

https://fred.stlouisfed.org/series/WM2NS

The Fed increased the money supply by an historically unprecedented 25% in response to the pandemic. And then by another 10% during 2021. In hindsight, the 25% was too much and the extra 10% was irresponsible. Fortunately, the money supply growth ended by the fourth quarter of 2021 and has remained flat.

https://fred.stlouisfed.org/series/MORTGAGE30US

Mortgage rates were held to less than 3% for 2 years to support the recovering economy. They have now more than doubled, in excess of 6%. These higher interest rates will slow economic activity in many dimensions: lending, home buying, consumer credit, consumer spending, business investment, risk taking, stock prices, etc. Higher interest rates work with a lag to slow economic activity. They were still at “crazy low” rates at the end of 2021. The impact of higher rates is now being felt.

https://fred.stlouisfed.org/series/MSPUS
https://fred.stlouisfed.org/series/MSPNHSUS

With extra savings, higher earnings, lower unemployment, restricted services available and historically low mortgage rates, consumer demand for housing grew rapidly while supply increased marginally. Housing prices (and rents) grew by 30%. Demand has now slowed. Housing inflation has slowed, perhaps to zero. This is a major channel through which GDP is decreased and inflation is reduced. Home purchases usually trigger thousands of dollars of additional move-in and fix-up expenditures.

https://www.nar.realtor/blogs/economists-outlook/existing-home-sales-decline-5-4-as-home-prices-continue-to-rise-in-june-2022
https://fred.stlouisfed.org/series/HOUST

Housing sales and new housing starts have adjusted to the new interest rate environment. Note that the level of new housing starts remains above the pre-pandemic level, so some further decline is possible in the second half of 2022.

https://fred.stlouisfed.org/series/CP
https://fred.stlouisfed.org/series/SP500

The US and global stock markets very quickly rebounded from the initial pandemic fear levels (-25%) back to the pre-pandemic levels which were more than 10% above the 2018-19 trend line. Stock markets increased after the initial pandemic recovery by 50% in line with growing profits. They have since dropped by one-quarter, a combination of lower expected future profits and higher interest rates increasing corporate financing costs and the cost of equity investors’ funds. Lower stock market prices usually have a negative “wealth” effect, with nominally poorer investors spending less in the current economy.

https://fred.stlouisfed.org/series/CPIAUCSL#0

By the second quarter of 2021 we started to see 7-10% annual inflation rates. Increases finally slowed (or stopped) in the last 2 months. Reported inflation on a 12 months apart basis will remain above the 2% target level for the next 9 months, as high monthly inflation during the end of 2021 and the first half of 2022 remains in the measurements. Experts have a wide range of inflation forecasts for the first half of 2023, ranging from 3% to 8%. Most expect inflation to be close to the 2% target by the second half of 2023.

https://fred.stlouisfed.org/series/PPIFIS
https://fred.stlouisfed.org/series/PALLFNFINDEXQ

Producer price increases followed the same general pattern as consumer prices. They appear to have reached their peak. Producer prices better reflect global prices, especially the higher price of most commodities. Note the 30% increase in US demand for durable goods.

https://fred.stlouisfed.org/series/DCOILWTICO
https://fred.stlouisfed.org/series/DCOILBRENTEU

Global energy prices played a significant role in recent inflation. The last few months displayed an easing of prices, but recent OPEC+ decisions to reduce output indicate oil prices rising some again.

https://www.atlantafed.org/chcs/wage-growth-tracker

Nominal wages accelerated during 2022, perhaps peaking at 7% annual growth.

https://fred.stlouisfed.org/series/LES1252881600Q

Yet, real wages have been falling for 2 years. We do not have a 1960’s style wage-price spiral.

https://www.washingtonpost.com/opinions/2022/10/07/september-jobs-report-analysis-no-recession-yet/
https://fred.stlouisfed.org/series/JTSJOL

Job openings were at a historical high before the pandemic and quickly returned to that level by the end of 2020 and then nearly doubled in the next year+ as businesses saw opportunities to profit from the expanding economy, but could not find workers at the somewhat elevated prevailing wage rates. The number of unfilled jobs has dropped by nearly 2 million recently, from 12 to 10 million. The labor market is returning towards “normal”, but with 10 million open positions, the number of net new positions added is likely to increase throughout the fourth quarter, even as the Fed attempts to slow the overall economy.

https://fred.stlouisfed.org/series/CIVPART

The US labor force participation rate slid from 67% to 66% to 63% from 2000 to 2009 to 2015. It dropped by 1.5% due to the pandemic (61.5%) and has since partially recovered to 62.3%, still a full 1% below the recent peak rate just before the pandemic. The labor market recovery has been good, but not great.

https://fred.stlouisfed.org/series/LNU01300060

The core, 25-54 year old labor force participation rate has increased by 1.5% since the pandemic to more than 82.5%, less than one-half percent below the recent high of 83% before the pandemic. By this measure, the labor market is recovering nicely, but not completely.

https://fred.stlouisfed.org/series/LNS11324230

Retirement age workers have not returned to the work force, with more than 1.5% of potential workers choosing to not join the labor market. Employers will need to be more innovative to attract workers back into the labor market.

Summary

The economy is slowing down, inflationary pressures are easing, but the labor market still looks strong. Slow to zero growth for the prior (3rd) and next 3 quarters is likely as inflation falls from 7-8% to 2-4%. Unemployment rates may increase, but it appears that the total number of employees will increase slowly during this low/zero growth period.

Good News: US Manufacturing Output Continues to Grow

https://www.nam.org/state-manufacturing-data/2021-united-states-manufacturing-facts/
https://en.wikipedia.org/wiki/Manufacturing_in_the_United_States#/media/File:Manufacturing_GDP_(nominal_and_real)_and_Manufacturing_Employment.png
https://fred.stlouisfed.org/series/OUTMS
https://www.nam.org/state-manufacturing-data/2021-united-states-manufacturing-facts/
https://www.brookings.edu/research/global-manufacturing-scorecard-how-the-us-compares-to-18-other-nations/

US manufacturing output continues to increase year over year, despite the reduction in employment.

Good News: Weather Forecast Accuracy Is Much Better

Everyone complains about “the weather” and the “weather forecast”, but forecasting accuracy has improved markedly since 1980, which was already at least twice as accurate of the best (pre-computer) forecasts of the 1940’s and 1950’s.

Unfortunately, there is no really simple intuitive way to gauge the improving accuracy, but scientists have provided a variety of measures to indicate the relative improvement.

Improved Accuracy

https://www.iweathernet.com/educational/history-weather-forecasting

36 hour and 72 hour forecast accuracy doubled in the 40 years between 1975 and 2015.

https://public.wmo.int/en/bulletin/weather-and-climate-forecasting-chronicle-revolution

The same level of forecast accuracy was available 8 days out in 2010 as it was 5.5 days out in 1980.

https://dspace.mit.edu/bitstream/handle/1721.1/126785/aav7274_CombinedPDF_v1.pdf?sequenc#:~:text=leading%20numerical%20weather%20prediction%20centers,now%20reach%209%2D10%20days

The correlation between forecast and actual weather has improved consistently between 1981 and 2019 for 3-5-7-10 day forecasts. A 5-day forecast today is as accurate as a 1 day forecast in 1980. 9-10 day forecasts are useful today.

A seven-day forecast can accurately predict the weather about 80 percent of the time and a five-day forecast can accurately predict the weather approximately 90 percent of the time. However, a 10-day—or longer—forecast is only right about half the time.

https://scijinks.gov/forecast-reliability/

a five-day forecast is accurate about 80% (link resides outside ibm) of the time. A one-day temperature forecast is typically accurate within 2.5 degrees. 

https://www.ibm.com/weather/industries/broadcast-media/complete-guide-accurate-weather-forcasting

Short-term five-day forecasts are nearly as accurate as two-day projections were three decades ago. 

The forecast error rate has dropped by anywhere from about 70% (for a 24-hour forecast) to about 90% (for a 72-hour forecast) since 1970. To put that in perspective, the average error for a 72-hour forecast was about 450 miles off in 1970. Today, it’s about 50 miles off.

https://www.cnn.com/2022/06/25/health/weather-forecasting-future-scn/index.html#:~:text=The%20forecast%20error%20rate%20has,it%27s%20about%2050%20miles%20off.

History of Weather Forecasting

https://www.britannica.com/science/weather-forecasting/Long-range-forecasting

https://www.foxweather.com/earth-space/46-years-of-goes-how-a-history-of-achievements-has-changed-weather-forecasting

https://www.newyorker.com/magazine/2019/07/01/why-weather-forecasting-keeps-getting-better

https://celebrating200years.noaa.gov/foundations/numerical_wx_pred/welcome.html#intro

https://public.wmo.int/en/bulletin/weather-and-climate-forecasting-chronicle-revolution

Glorious Weather Forecasting Future

https://www.ibm.com/weather/industries/broadcast-media/complete-guide-accurate-weather-forcasting

https://www.nae.edu/244878/Future-of-Weather-Forecasting

https://celebrating200years.noaa.gov/foundations/numerical_wx_pred/welcome.html#ahead

https://www.wired.com/story/weather-forecasting-artifical-intelligence/

https://www.washington.edu/news/2020/12/15/a-i-model-shows-promise-to-generate-faster-more-accurate-weather-forecasts/

Hamilton County Growth Continues

https://www.chacompanies.com/news/chas-96th-street-and-keystone-parkway-project-awarded-indy-chamber-monumental-award/

Fishers has overtaken Carmel to become the largest city. Westfield is growing at the fastest percentage rate, with Noblesville close behind.

The county continues to add about 7,000 people each year to its base of 360,000, the fourth largest county in Indiana.

https://www.census.gov/data/datasets/time-series/demo/popest/intercensal-2000-2010-cities-and-towns.html

https://www.stats.indiana.edu/population/sub_cnty_estimates/2020/e2020_townships.asp

The net assessed valuation for property taxes has grown in line with the population, with faster growth in the last 5 years.

Property values have grown less rapidly, but still significantly, on an inflation adjusted basis.

https://fred.stlouisfed.org/series/CPIAUCSL#0

The real property value per person has remained roughly flat as the county has grown during the last decade. Carmel has higher real estate values and Noblesville has lower real estate values.

Real estate taxes levied by the county itself increased for payments due in 2020, but the real taxes per person remain 20% lower than they were in the “teens”. The county consolidated the provision of certain “emergency” services from the towns and cities in 2020.

https://www.hamiltoncounty.in.gov/ArchiveCenter/ViewFile/Item/214

https://www.hamiltoncounty.in.gov/ArchiveCenter/ViewFile/Item/95

https://gateway.ifionline.org/public/pts/pts-overview.aspx

Summary

Hamilton County’s growth looks to continue at a sustainable rate, with open land in Fall Creek, Westfield, Noblesville available for development.

Good News: Election Fraud is Not a Fact-Based Issue in the US

Claims of election fraud have a long history in the US. They exist for 3 reasons. Losers hate to lose. Fraud claims support efforts to restrict voting by opponents. Fraud claims undermine the legitimacy of US democratic processes (Russia).

TRUTH

Historically, without “checks and balances” or other controls, political parties and machines had taken advantage to ensure that they won. We’re mostly talking about 1820-1900. Even in the 20th century, there were states and cities where one party had control and could “deliver” votes at the city, state or national level. This kind of fraud largely ended by the 1960’s based on journalists, lawyers, political opponents and activists overturning this corruption of democracy. Then and now, the numbers of fraudulent votes were very small as a percentage of the votes cast, less than 1%. Fraudulent votes are effective in a democracy only when their small share can tip the election. Most claims of voter fraud are based on a misunderstanding of voting, statistics or logic.

History

In 2007, before the partisan push for photo-ID’s and Trump’s 2016 and 2020 pre-emptive and post-emptive claims of fraud, the Brennan Institute consolidated the research and concluded that voter fraud was statistically irrelevant, 1 in 10,000 or 1 in 1,000 at the most.

file:///C:/Users/tkapo/Downloads/Report_Truth-About-Voter-Fraud.pdf

https://www.brennancenter.org/issues/ensure-every-american-can-vote/vote-suppression/myth-voter-fraud

NO MATERIAL VOTER FRAUD (Even McConnell)

https://www.brennancenter.org/our-work/research-reports/debunking-voter-fraud-myth

https://www.reuters.com/article/usa-election-voter-fraud-facts-explainer-idINKBN2601H5

https://www.reuters.com/article/factcheck-fraud-elections/fact-check-re-examining-how-and-why-voter-fraud-is-exceedingly-rare-in-the-u-s-ahead-of-the-2022-midterms-idUSL1N2XP2AI

https://www.washingtonpost.com/news/wonk/wp/2014/08/06/a-comprehensive-investigation-of-voter-impersonation-finds-31-credible-incidents-out-of-one-billion-ballots-cast/

https://www.cnn.com/factsfirst/politics/factcheck_8b1382ba-4b0e-4d9c-b933-adcbced94e98

https://www.pbs.org/newshour/politics/ap-review-finds-far-too-little-vote-fraud-to-tip-2020-election-to-trump

https://www.pbs.org/newshour/show/exhaustive-fact-check-finds-little-evidence-of-voter-fraud-but-2020s-big-lie-lives-on

https://www.pnas.org/doi/10.1073/pnas.2103619118

https://www.npr.org/2022/09/04/1120904265/claims-voter-fraud-donald-trump

https://apnews.com/article/barr-no-widespread-election-fraud-b1f1488796c9a98c4b1a9061a6c7f49d

https://www.cisa.gov/rumorcontrol

https://www.voanews.com/a/2020-usa-votes_how-widespread-voter-fraud-us/6195819.html

https://www.nbcnews.com/politics/congress/mcconnell-says-voter-fraud-rare-isnt-worried-threats-democracy-rcna44301

https://www.usatoday.com/story/news/factcheck/2021/08/10/fact-check-8-million-excess-biden-votes-werent-counted-2020/5512962001/

https://www.washingtonpost.com/politics/minuscule-number-of-potentially-fraudulent-ballots-in-states-with-universal-mail-voting-undercuts-trump-claims-about-election-risks/2020/06/08/1e78aa26-a5c5-11ea-bb20-ebf0921f3bbd_story.html

https://www.snopes.com/tag/voter-fraud-rumors/

https://apnews.com/article/north-america-donald-trump-us-news-ap-top-news-elections-f5f6a73b2af546ee97816bb35e82c18d

YES, Material Fraud

https://www.heritage.org/voterfraud

https://www.foxnews.com/category/politics/elections/voter-fraud-concerns

Summary

We are blessed with an incredibly low level of election fraud in the US for the last 50 years. With a simple two-party system, partisans from both sides have ensured that fraudulent voting is difficult to do, highly punished if discovered and easy to discover (and therefor highly disincentivized). US voting is largely managed at the lowest levels: counties, cities, precincts, where citizens know their neighbors. It is effective because enough Americans of various political beliefs today believe in this process and volunteer their time to make it effective.

Analysis

Republicans generally take a negative view of human nature, expecting individuals to actively pursue their self-interest. Hence, they expect that Democrats, with influence over the election process in some venues, will take steps to optimize their results. In an earlier age this was partially true. But, in the modern world (post 1920’s), several factors work against this direct pursuit of self-interest. The country’s laws make voting fraud a felony with significant penalties. Local election officials are elected. In a two-party system it is relatively easy to engage both parties to monitor the election process. The US has very many lawyers ready to assist their preferred party. Election results are public. Statistically improbable results are very easy to identify today. Each precinct has a historical preference which is unlikely to change materially in any single election, so any fraudulent voting is easily identified.