WEBVTT

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Welcome to the Reality Taboo, where no topic

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is off limits. It's April 11, 2025. I'm going

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to be biking solo today, which is, at least in

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the original game, the only way you can bike.

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Jeff is at a bottle rocket conference. He'll

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be back next week. We'll start with DEI and how

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it just will not die. Looking at an economist

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YouGov survey from this week that queried respondents

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on how they felt about efforts that companies

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and other institutions were making to ensure

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diversity, inclusion and equity in their operations.

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To the question, quote, do you have a favorable

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or an unfavorable opinion of diversity, equity,

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and inclusion programs, unquote. We get a net

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favorability among the entire population, that

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is the percentages who view it favorably and

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subtracted from that the percentages who view

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it unfavorably. We get a net favorability of

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13 points across the entire population. There

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are some noticeable demographic differences.

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First, men are less keen on the idea of DEI than

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women are. The net favorability for men is just

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plus five, while for women it is plus nineteen.

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The pursuit of excellence is a personality tendency

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that skews heavily male, while concerns about

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inclusion and The inherent problems with exclusion,

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irrespective of the reasons for said exclusion,

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is a trait more commonly associated with women.

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And so, not surprisingly, we see it born out

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here. Women may be the ones disproportionately

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crashing the planes as of late. They are also

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disproportionately the ones who want to ensure

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that there are more female pilots in the future.

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And if there are objective standards that get

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in the way of that, then those standards are

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the problem, not the problems that have to be

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solved to ensure that a plane takes off the runway

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safely and cruises at a healthy altitude and

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that all the landing gear is deployed in a safe

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and effective fashion. Those are not the problems

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to be concerned with. The problems to be concerned

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with are the rates at which men and women are

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making it through pilot programs and pilot training.

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There is also a stark generational divide. We've

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talked in previous episodes about how younger

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generations are skewing much more Republican

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today than they were a generation or two ago

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with Zoomers being about as likely to support

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Trump and Elon Musk and the Republican Party

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as Boomers are. In fact, Zoomers are more likely,

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moderately more likely to support Republicans

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than Boomers are. It's tempting to read that

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as some sort of seismic shift in the political

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and cultural landscape of the West. I... can't

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shake the sinking feeling that it is more than

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anything else a manifestation of economic frustration

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and a depressed purchasing power experienced

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by younger generations relative to generations

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that came prior. And that goes a long way in

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explaining why the tendency for younger cohorts

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to move to the political right is something that

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is happening not just in the United States, but

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as happened in much of Western and Central Europe

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and in fact happened in Europe before it moved

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across the pond to the United States. And I think

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it is largely because not that there is some

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sort of cultural reactionary strain that has

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grown in Europe and now has been exported across

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the Atlantic Ocean to America, but instead that

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the economic malaise that is characterizing the

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Western world has been felt more acutely and

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felt first in Europe, and that is why the rise

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of parties like the National Front in France

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and UKIP have predated the rise of MAGA in the

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United States. If that analysis is broadly correct,

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we should expect to see that if economic conditions

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continue to deteriorate in America, we will see

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a move away most sharply from Trump in terms

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of support among younger generations. If that

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is the case, I would expect that boomers would

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stay about the same in terms of their favorability

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towards Trump and the Republican Party, but that

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Zoomers and Millennials would move more decidedly

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leftward in the midterms and in 2028. And for

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some circumstantial evidence that buttresses

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that assessment, if we look at favorability of

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DEI programs by age cohort, we see that zoomers

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have a positive favorability and that favorability

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of positive. 38, that is a staggeringly, overwhelmingly

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pro -DEI orientation among those under the age

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of 30, and it is mirrored identically among millennials

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who also have a plus 38 favorability when it

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comes to diversity, equity, and inclusion. Contrast

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that to generation X, the Xers, that is the only

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generational cohort with a net. unfavorable view

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of DEI. Exers come in at negative 12, and Boomers

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come in at plus seven. So Zoomers and Millennials

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at plus 38 are wildly supportive of DEI. Exers

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are skeptical as their generation is rightly

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renowned for being. Boomers at plus seven are

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lukewarm in their affection for DEI. If we look

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next at the racial angle with regards to favorability

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towards DEI. We see that I expended too many

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adjectives describing the enthusiasm that Zoomers

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and Millennials have for DEI because the racial

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dynamics are even more stark than the generational

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or the sexual dynamics are with regards to support

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for DEI. Whites come in at a net favorability

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of plus eight, so that same lukewarm. sentiment

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to that boomers express we see mirrored here

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in the racial group that most commonly gets coded

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generationally as boomers, and that is whites.

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Among Hispanics, the net favorability is even

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lower at plus two, coming in almost even, and

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among others, which mostly refers to Asians,

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it's just plus one. And that shouldn't come as

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a big surprise, given that Asians are often hurt

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even more than whites are. Asian men in particular

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are hurt more than white men are by DEI and other

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affirmative action programs. And because while

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they are not at the top of the oppression hierarchy,

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they are more culturally sympathetic than whites.

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And so it is often by way of the suffering experienced

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by Asians through DEI programs that legal challenges

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against institutions are brought most famously

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the one against the Ivy Leagues against Harvard

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for discrimination in favor of blacks and Hispanics

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was brought on account of the under -representation

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relative to test scores that it caused Asians

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to experience. Even though Asians are wildly

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over -represented relative to their share of

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the population in the Ivy Leagues, they are under

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-represented among those who score exceptionally

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high on the entrance tests like the SAT and the

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AC. When companies are celebrating or attempting

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to celebrate their diversity chops, they will

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often talk about about the percentages of their

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workforce that is non -white. This is especially

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the case in Silicon Valley. I recall some years

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ago, Google talking about how its workforce was

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only about 30 or 35 % white in response to racial

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shakedown artists complaining that the company

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was less than 5 % black or Hispanic. And both

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sides were making points. that were truths by

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commission, but there was a huge act of omission

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that both were neglecting to mention, and that

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was that Asians made up an outright majority

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of the workforce and a wildly disproportionately

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over -representative share relative to their

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populations in the broader culture. But the reality,

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whatever the media focus might be, the reality

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is that if If admissions are effectively race

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normed, then Asians are going to suffer more

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than any other group, including whites, relative

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to what their aptitudinal results would suggest

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their inclusion rate should be. even if they

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are over -represented in a numerical sense, they

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are still under -represented the most relative

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to how well they do on the batteries of exams

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that allow people to be admitted in the first

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place. So that is a bit of a long -winded way

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of saying it's not especially surprising that

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Asians are aware of the threat that DEI pretends

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for them. The Hispanic figures are a little bit...

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more of a head scratcher because Hispanics do,

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although not to the same extent as blacks, which

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is the figure I have. scandalously withheld up

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to this point, but Hispanics do stand to benefit

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quite a bit from DEI programs, even if not as

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much as blacks do, and yet Hispanics also come

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in at almost even on their net favorability towards

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DEI. If I were to just offer some lazy armchair

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conjecture, it would be something along the lines

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of Hispanics not being as socially conscious

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or socially obsessed as Non -Hispanic groups

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in America are the image of an Amerindian day

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laborer taking a siesta under a tree with a modello

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Midday as the sweat and other bodily perspiration

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evaporates as he takes his midday break in his

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roofing or landscaping job being content to let

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the gringo do the accounting and the marketing

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and the drumming up of business and not being

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particularly upset by the fact that he isn't

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going to make as much per hour as the guy, the

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foreman who is arranging all of the work but

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isn't sweating as much, but whose neurons are

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being asked to fire a lot more rapidly. I guess

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that's an inarticulate way of... suggesting that

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Hispanics are not as inherently upset by the

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idea of social and economic hierarchies as non

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-Hispanic Americans are. So to recap, whites

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at plus eight favorability, Hispanics at plus

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two favorability, and Asians at plus one. Blacks,

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in contrast, deviate starkly, coming in at plus

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52. DEI is F -U -B -U. It is FUBU. It's for us,

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by us. Blacks understand that and understand

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that attempts to undercut the initiative that

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they've seen so much progress made on over the

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last five or six years that rolling that back

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will mean rolling back the benefits and the opportunities

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that they have artificially enjoyed by the push

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for greater DEI across all Western institutions.

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be they academic, or business, or non -profit,

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or broadly cultural, or existing in any other

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social context. The distribution bipartisan affiliation

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will likely come as, little surprise, Democrats

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come in at a positive 64 net favorability, Independents

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are lukewarm at a plus five favorability, and

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Republicans come in at a negative 32. unfavorability.

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The broader take -home point here with regards

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to the future that DEI has in America is that

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that future is bright. Overall the general broader

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population is favorably inclined towards the

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push for DEI and the demographic groups that

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have the most cultural cachet. That is younger

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people, blacks, Democrats, people on the left.

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are the ones who are especially supportive of

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DEI. And the Mr. Burns style Republican old white

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male fat cats to the extent that they even exist

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anymore given that the vast majority of the ultra

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wealthy donate money to Democrats and to ostensibly

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leftist or at least corporately democratic, corporately

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liberal causes to the extent that that fat cat

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Republican does still exist at the level of CEO

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or other high executive office in private companies

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or prestigious administrative positions at academic

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institutions or charities or nonprofits. Well,

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those guys can benefit by singing the praises

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of DEI and pulling up the ladders beneath them

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to ensure that the generations that come after

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them don't look like them without suffering any

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at all themselves. This poll was taken at the

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end of March of 2025, well past the peak point

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of DEI's perceived or presumed ascendancy in

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America, and yet even with the election of Donald

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Trump and the popular electoral majority that

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he received and the support that Doge and other

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MAGA associated movements have had over the last

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several months relative to the last several years.

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Even given all of that, all of that momentum,

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still we see in surveys like this that the majority

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of the population has a favorable view of DEI

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and perceives attempts to dismantle or otherwise

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deprioritize it as racist and sexist and hidebound,

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retrograde, ugly regressive stuff. I want to

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shift gears now, but before I delve into some

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data from the general social survey, hopefully

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news you can use that can be applicable in your

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own lives or in the lives of those who you might

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have under your stead with regards to what traits

00:15:53.289 --> 00:15:57.529
in women are associated with infidelity and what

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traits are associated with fertility with fecundity.

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I want to get some incohate thoughts out about

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the consequences or at least some segment of

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consequences from the AI revolution that we are

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in the midst of now, specifically with regards

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to content creation. We are now at the point

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where all the major AI programs are capable of

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creating bots that are built on the entire corpus

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of individual authors and writers, bloggers,

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and other types of pundits. And these bots do

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a remarkably good job of creating the sorts of

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content that is... virtually indistinguishable

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from the individuals that the bots are in reference

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to. The Steve Saylor bot will give you a better,

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wittier, and more immediate response than the

00:16:56.240 --> 00:16:59.340
actual aged writer will be able to do at this

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point. And anyone can create a Steve Saylor bot

00:17:02.320 --> 00:17:05.420
and then... feed that bot some information about

00:17:05.420 --> 00:17:07.940
some current event that is occurring and generate

00:17:07.940 --> 00:17:11.279
a Steve Saylor response that will incorporate

00:17:11.279 --> 00:17:15.180
Steve Saylor at the peak of his perspicacity

00:17:15.180 --> 00:17:18.539
calibrated to the question or the subject at

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hand and will deliver it in a way that draws

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on everything that someone like Steve Saylor

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who has been writing and commentating for several

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decades has ever put out a corpus of content

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that is much greater than the meat sack Steve

00:17:36.599 --> 00:17:39.400
Saylor's brain would be able to recall at any

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given moment in time. AI pulp fiction novels

00:17:42.180 --> 00:17:45.559
are already as good as if not better than and

00:17:45.559 --> 00:17:48.259
largely in many cases indistinguishable from

00:17:48.259 --> 00:17:52.920
the large quantity of middling authors filler

00:17:52.920 --> 00:17:57.039
content that fills digital book marketplaces

00:17:57.039 --> 00:17:59.839
and what's left of brick and mortar bookstores

00:17:59.839 --> 00:18:03.140
and they can be generated much more rapidly and

00:18:03.140 --> 00:18:06.680
cheaply and without all the concerns about commissions

00:18:06.680 --> 00:18:12.019
and royalties and copyrights. AI generated music

00:18:12.019 --> 00:18:16.940
is better than the vast majority of what fills

00:18:16.940 --> 00:18:22.150
the pop 40 radio airwaves. AI is not there yet

00:18:22.150 --> 00:18:24.730
on the quantitative side of things. It's quite

00:18:24.730 --> 00:18:28.109
bad, makes a lot of embarrassing mistakes when

00:18:28.109 --> 00:18:32.529
it comes to trying to quantify things or do mathematical

00:18:32.529 --> 00:18:36.049
problems or provide scientific proofs. But that's

00:18:36.049 --> 00:18:39.130
likely only a matter of time and initially AI

00:18:39.130 --> 00:18:42.769
was deep inside the uncanny valley when it came.

00:18:42.970 --> 00:18:46.450
to images that it generated, but it has made

00:18:46.450 --> 00:18:49.230
market improvements in just the last several

00:18:49.230 --> 00:18:52.650
months, such that now AI images are becoming

00:18:52.650 --> 00:18:54.710
increasingly difficult to detect by the naked

00:18:54.710 --> 00:18:57.470
eye. If the last decade or so has represented

00:18:57.470 --> 00:19:02.289
a sort of bountiful harvest for independent content

00:19:02.289 --> 00:19:07.039
creators using the Patreon... type of freemium

00:19:07.039 --> 00:19:09.960
model, something that was virtually impossible

00:19:09.960 --> 00:19:13.339
to do 25 years ago. I think that may come to

00:19:13.339 --> 00:19:16.880
represent a sort of interglacial period between

00:19:16.880 --> 00:19:20.160
ice ages. I suspect the future will be one in

00:19:20.160 --> 00:19:23.980
which it becomes quite difficult to carve out

00:19:23.980 --> 00:19:28.220
a living as a digital content creator because

00:19:28.220 --> 00:19:32.140
it will mean competing against a limitless pool

00:19:32.140 --> 00:19:35.660
of knowledge that can be conjured at a moment's

00:19:35.660 --> 00:19:38.640
notice, to scour everything that has ever been

00:19:38.640 --> 00:19:41.880
written and posted online anywhere in the world

00:19:41.880 --> 00:19:45.079
across all of time, and to do so with parameters

00:19:45.079 --> 00:19:49.900
that are designed to appeal to certain targeted

00:19:49.900 --> 00:19:53.099
groups, demographic groups or groups with particular

00:19:53.099 --> 00:19:56.259
cultural affinities or interests, instead of

00:19:56.259 --> 00:19:58.859
having to be a marketer who can write good copy.

00:19:59.079 --> 00:20:02.200
The marketer just has to request that the AI

00:20:02.200 --> 00:20:05.440
write copy for white men between the ages of

00:20:05.440 --> 00:20:08.599
18 and 30 who have ever visited the Mises Institute

00:20:08.599 --> 00:20:11.799
to read about some issue related to monetary

00:20:11.799 --> 00:20:16.539
policy and how that plays into official CPI readings.

00:20:16.839 --> 00:20:19.000
Or to make things even more simple, he can say,

00:20:19.299 --> 00:20:21.319
write me an email subject line that Tom Woods

00:20:21.319 --> 00:20:25.240
would use when talking about changes in perceptions

00:20:25.240 --> 00:20:29.579
towards wearing masks during the COVID -19 pandemic

00:20:29.579 --> 00:20:33.440
during the years of 2020 and 2022. If your work

00:20:33.440 --> 00:20:37.160
is in the digital world, Even if it's not relegated

00:20:37.160 --> 00:20:40.119
largely to clerical repetitive tasks, even if

00:20:40.119 --> 00:20:43.079
it has a creative element, I admonish you to

00:20:43.079 --> 00:20:45.660
be wary. I think you need to be on notice. This

00:20:45.660 --> 00:20:49.319
could be, this is shaping up to be quite disruptive

00:20:49.319 --> 00:20:55.099
to that broad professional segment of the modern

00:20:55.099 --> 00:20:58.750
Western economic structure. There are a lot of

00:20:58.750 --> 00:21:00.589
professions that have a lot of work that can

00:21:00.589 --> 00:21:04.890
be very easily outsourced to AI to be done at

00:21:04.890 --> 00:21:08.769
a fraction of the time and an even smaller fraction

00:21:08.769 --> 00:21:12.970
of the cost. And these methods are going to improve

00:21:12.970 --> 00:21:17.369
exponentially as they learn what to filter out

00:21:17.369 --> 00:21:22.250
and what to bring in and how to react to specific

00:21:22.250 --> 00:21:25.150
parameters that they're given. Conversely, skilled

00:21:25.150 --> 00:21:28.950
workmanship in the meat stick world has a bright

00:21:28.950 --> 00:21:32.470
future in front of it. The sci -fi of the 20th

00:21:32.470 --> 00:21:37.569
century often predicted a future in which robots

00:21:37.569 --> 00:21:42.049
did the vast majority of the physical tasks,

00:21:42.250 --> 00:21:46.029
the menial labor, and the skilled technical physical

00:21:46.029 --> 00:21:50.869
labor that humans had done for millennia prior

00:21:50.869 --> 00:21:55.869
to that. perceived onset of that great technological

00:21:55.869 --> 00:21:58.769
robot revolution. The reality though, at least

00:21:58.769 --> 00:22:03.549
at this point, is that AI and advances in technology

00:22:03.549 --> 00:22:07.390
have done much more, especially in the last couple

00:22:07.390 --> 00:22:11.910
of years, to displace work in the digital world.

00:22:12.309 --> 00:22:14.529
There aren't robots who can fix your leaky faucet

00:22:14.529 --> 00:22:16.970
or figure out what's wrong with your circuit

00:22:16.970 --> 00:22:20.029
breakers in your basement, but there are AI bots

00:22:20.029 --> 00:22:23.400
that can write up. business contracts and marketing

00:22:23.400 --> 00:22:27.599
copy and legal briefs in seconds on the hour

00:22:27.599 --> 00:22:31.759
and pennies on the dollar of what the white color

00:22:31.759 --> 00:22:35.140
cubicle monkeys of yesterday would require for

00:22:35.140 --> 00:22:39.200
the same output. Okay, turning now to the general

00:22:39.200 --> 00:22:42.480
social survey. Let's take a look at what traits

00:22:42.480 --> 00:22:46.359
are associated with female infidelity. If you

00:22:46.359 --> 00:22:50.920
are looking for a potential mate or you are responsible

00:22:50.920 --> 00:22:54.460
for someone who will be doing so, hopefully will

00:22:54.460 --> 00:22:58.779
be doing so in the future. Here are some broad

00:22:58.779 --> 00:23:02.599
tendencies and traits and characteristics to

00:23:02.599 --> 00:23:06.809
avoid and... alternatively to seek out if you

00:23:06.809 --> 00:23:11.769
want to find someone who is likely to be loyal

00:23:11.769 --> 00:23:14.920
to maintain sexual exclusivity with you. the

00:23:14.920 --> 00:23:17.579
general social survey has for decades, ask respondents

00:23:17.579 --> 00:23:21.720
if they have ever had sex with someone other

00:23:21.720 --> 00:23:24.480
than their spouse while married. And so the caveat

00:23:24.480 --> 00:23:28.240
at the outset is this data is being pulled from

00:23:28.240 --> 00:23:31.140
respondents who either are married or have been

00:23:31.140 --> 00:23:33.859
married at some point in the past. It's not looking

00:23:33.859 --> 00:23:38.900
at infidelity if that is what it. if that's the

00:23:38.900 --> 00:23:43.660
term that should be used when regarding a dating

00:23:43.660 --> 00:23:46.440
relationship between two people. And that's probably

00:23:46.440 --> 00:23:48.680
for the better. This is the sort of cheating

00:23:48.680 --> 00:23:52.420
that is serious. It is cheating that has occurred

00:23:52.420 --> 00:23:56.039
between people who have officially made the vows

00:23:56.039 --> 00:24:00.119
and tied the knots and entangled themselves legally,

00:24:00.819 --> 00:24:03.690
financially, spiritually, and otherwise. in a

00:24:03.690 --> 00:24:06.569
way that's a lot more serious than a couple who

00:24:06.569 --> 00:24:09.089
have been dating on and off for a couple months

00:24:09.089 --> 00:24:12.529
when one of the members decides to go in a different

00:24:12.529 --> 00:24:15.029
direction, even if it is without the knowledge

00:24:15.029 --> 00:24:18.609
of the one who she is leaving behind. But the

00:24:18.609 --> 00:24:20.910
tendencies and the patterns are surely applicable

00:24:20.910 --> 00:24:25.309
to less serious relationships. If a woman will

00:24:25.309 --> 00:24:28.769
cheat while married, then it is a pretty good

00:24:28.769 --> 00:24:32.160
bet that she will cheat while dating. First thing

00:24:32.160 --> 00:24:35.299
we'll look at are community types. So women who

00:24:35.299 --> 00:24:39.259
live in big cities are about 30 % more likely

00:24:39.259 --> 00:24:43.839
to cheat than women who live in small towns or

00:24:43.839 --> 00:24:47.299
in suburbia. The differences here as we'll see

00:24:47.299 --> 00:24:50.759
compared to other traits are fairly modest but

00:24:50.759 --> 00:24:53.079
it's not surprising that closer proximity to

00:24:53.079 --> 00:24:55.799
other people and the perpetual bustle of city

00:24:55.799 --> 00:24:58.630
life is more conducive to running around. Sex

00:24:58.630 --> 00:25:00.630
in the countryside doesn't quite get there in

00:25:00.630 --> 00:25:02.970
the same way that sex in the city does. Devotion

00:25:02.970 --> 00:25:05.529
to God is a pretty good proxy for devotion to

00:25:05.529 --> 00:25:09.170
one's man. Women who attend church on a regular

00:25:09.170 --> 00:25:14.329
basis are half as likely to cheat as women who

00:25:14.329 --> 00:25:18.049
never or infrequently attend church services.

00:25:18.589 --> 00:25:22.849
So the non -churchgoers are 100 % more likely

00:25:22.849 --> 00:25:26.660
to cheat than the regular churchgoers are. That

00:25:26.660 --> 00:25:29.619
is in comparison to the community type where

00:25:29.619 --> 00:25:33.440
the big city women are about 30 % more likely

00:25:33.440 --> 00:25:36.839
to cheat than suburban and small town women are.

00:25:37.220 --> 00:25:39.900
More intelligent women are considerably more

00:25:39.900 --> 00:25:44.319
likely to cheat than women of modest or mediocre

00:25:44.319 --> 00:25:48.059
intelligence are. Using the word sum vocabulary

00:25:48.059 --> 00:25:51.519
test as a proxy for intelligence from the general

00:25:51.519 --> 00:25:55.799
social survey we see that women in the top quintile

00:25:55.799 --> 00:25:59.019
of intelligence. are more than twice as likely

00:25:59.019 --> 00:26:02.480
to cheat as women in the bottom quintile are,

00:26:02.859 --> 00:26:07.400
with women in the middle three quintiles being

00:26:07.400 --> 00:26:11.059
about midway between those two points. To put

00:26:11.059 --> 00:26:15.220
some actual figures of straying on here, the

00:26:15.220 --> 00:26:18.000
really smart group, so that's the top 20 % roughly

00:26:18.000 --> 00:26:22.619
of intelligence, 16 .4 % of married women in

00:26:22.619 --> 00:26:24.880
that category have cheated, compared to just

00:26:24.880 --> 00:26:29.650
6 .9 % of women. in the bottom quintile, with

00:26:29.650 --> 00:26:35.250
the middle 60 % coming in at just under 12%,

00:26:35.250 --> 00:26:38.809
having cheated. Female hypergamy is a real thing,

00:26:38.910 --> 00:26:42.109
and the types of women who have the firepower

00:26:42.109 --> 00:26:44.750
to want to do the eat, pray, love thing are the

00:26:44.750 --> 00:26:47.769
ones who are more susceptible to thinking that

00:26:47.769 --> 00:26:50.650
there is really more out there for them more

00:26:50.650 --> 00:26:53.539
to explore of themselves by exploring. other

00:26:53.539 --> 00:26:56.279
people and not being constrained and confined

00:26:56.279 --> 00:27:00.700
by the limiting bounds that official matrimony

00:27:00.700 --> 00:27:04.180
puts in place. I looked here too at a list of

00:27:04.180 --> 00:27:08.759
35 different occupations and ranked them by propensity

00:27:08.759 --> 00:27:11.559
for women in these occupations to cheat. The

00:27:11.559 --> 00:27:14.579
least loyal occupation with the most infidelity

00:27:14.579 --> 00:27:18.680
is real estate agents and appraisers. With over

00:27:18.680 --> 00:27:22.410
a quarter 26 % of them saying that they have

00:27:22.410 --> 00:27:24.829
had sex with someone other than their husbands

00:27:24.829 --> 00:27:28.009
while married. The second least loyal, lawyers,

00:27:28.450 --> 00:27:33.450
with 24 % having ever strayed. Next is writers,

00:27:33.750 --> 00:27:35.950
sculptors, painters, actors, and other artists

00:27:35.950 --> 00:27:39.990
that I grouped together under an artistic umbrella.

00:27:40.490 --> 00:27:45.859
22 % of them. have cheated. Next, fourth least

00:27:45.859 --> 00:27:49.299
loyal are waitresses with 20%, one in five having

00:27:49.299 --> 00:27:52.880
cheated. And the fifth least loyal are those

00:27:52.880 --> 00:27:56.400
involved in sales and finance with 17 % having

00:27:56.400 --> 00:27:58.259
cheated. You'll notice one thing that stands

00:27:58.259 --> 00:28:01.420
out here are these are occupations that are very

00:28:01.420 --> 00:28:04.140
type A, personality driven, at least three of

00:28:04.140 --> 00:28:06.380
them, the real estate agents, lawyers, and the

00:28:06.380 --> 00:28:09.799
sales and finance women. These are aggressive,

00:28:10.160 --> 00:28:12.990
competitive, occupations that involve coming

00:28:12.990 --> 00:28:16.069
into contact with a lot of high -status men.

00:28:16.369 --> 00:28:18.990
These are also occupations that buck traditional

00:28:18.990 --> 00:28:22.470
gender stereotype rules of what women who are

00:28:22.470 --> 00:28:26.130
in the workforce should be doing or prefer to

00:28:26.130 --> 00:28:28.869
be doing. If we look now instead at the five

00:28:28.869 --> 00:28:32.769
most loyal occupations, we see the very most

00:28:33.130 --> 00:28:35.970
loyal occupation of all our teaching assistants

00:28:35.970 --> 00:28:40.369
with not a single one of those in the Decades

00:28:40.369 --> 00:28:43.710
of the surveys existence having ever reported

00:28:43.710 --> 00:28:47.210
cheating on their husbands next lowest our bank

00:28:47.210 --> 00:28:50.720
tellers with three percent having strayed teachers

00:28:50.720 --> 00:28:54.880
at 7%, office department managers at 8%, and

00:28:54.880 --> 00:28:59.900
receptionists at 9%. Despite the common image

00:28:59.900 --> 00:29:02.440
of an office secretary doing more for the boss

00:29:02.440 --> 00:29:05.380
than just taking calls and sending out emails,

00:29:05.960 --> 00:29:08.039
it's women in traditionally female job roles

00:29:08.039 --> 00:29:10.319
who are the most trustworthy. I think the teaching

00:29:10.319 --> 00:29:12.960
environment is especially ideal. particularly

00:29:12.960 --> 00:29:16.119
women in elementary and middle school settings.

00:29:16.599 --> 00:29:19.799
The women are surrounded by kids that fosters

00:29:19.799 --> 00:29:22.420
a maternal instinct. They're shared with colleagues

00:29:22.420 --> 00:29:25.880
who are also predominantly women and the men

00:29:25.880 --> 00:29:28.440
who tend to be in elementary school and middle

00:29:28.440 --> 00:29:32.440
school settings are not particularly desirable

00:29:32.440 --> 00:29:35.180
alpha type males with the possible exception

00:29:35.180 --> 00:29:38.559
of gym teachers who teach only as an excuse,

00:29:38.559 --> 00:29:43.079
only as a way of being the coach of the varsity

00:29:43.079 --> 00:29:46.079
football or basketball teams. I shouldn't just

00:29:46.079 --> 00:29:50.500
allied over the other two occupations of high

00:29:50.500 --> 00:29:54.759
infidelity that are not traditionally masculine

00:29:54.759 --> 00:29:58.640
occupations that involve a lot of high pressure,

00:29:59.099 --> 00:30:01.759
highly competitive settings that help build sexual

00:30:01.759 --> 00:30:06.720
tension. Waitresses and artists are also quite

00:30:06.720 --> 00:30:10.319
likely to stray. In the case of the artsy careers,

00:30:10.779 --> 00:30:13.400
those careers by their very definition require

00:30:13.400 --> 00:30:17.440
a high level of openness and so they are by way

00:30:17.440 --> 00:30:19.700
of the personality types they tend to attract.

00:30:20.200 --> 00:30:22.660
That is, those high in openness to experience

00:30:22.660 --> 00:30:25.539
are inherently risky bets. And in the case of

00:30:25.539 --> 00:30:28.559
waitresses, the sheer number of men that waitresses

00:30:28.559 --> 00:30:32.180
inevitably come into contact with means the opportunities

00:30:32.180 --> 00:30:36.039
for flings are endless. There are racial differences

00:30:36.039 --> 00:30:39.480
as well. Black Black women are the most likely

00:30:39.480 --> 00:30:42.579
to cheat with 16 % of black women having cheated,

00:30:43.059 --> 00:30:46.920
compared to 13 % of white women, 9 % of Hispanic

00:30:46.920 --> 00:30:51.099
women, and 7 % of Asian women. So the weeb stereotype

00:30:51.099 --> 00:30:55.380
of the soft -spoken demure waifu is one that

00:30:55.380 --> 00:30:58.809
is born out in reality. The anime girl only has

00:30:58.809 --> 00:31:00.890
eyes for you, Mel House. You're all she thinks

00:31:00.890 --> 00:31:03.089
about, you're all she dreams about. No one else

00:31:03.089 --> 00:31:05.690
but you, forevermore. The biggest red flag of

00:31:05.690 --> 00:31:09.130
all though, by far, is expressed sexual orientation.

00:31:09.730 --> 00:31:15.670
Women who are bisexual, a staggering 42 % who

00:31:15.670 --> 00:31:18.910
are married say that they have strayed on their

00:31:18.910 --> 00:31:21.849
husbands. Or, in the context of this particular

00:31:21.849 --> 00:31:25.240
case, their wives. That's compared to less than

00:31:25.240 --> 00:31:30.660
12 % of heterosexual women and some 34 % of lesbians.

00:31:30.839 --> 00:31:33.940
The quite open secret about same sex marriages

00:31:33.940 --> 00:31:37.519
is that they tend to be, well, open. And if a

00:31:37.519 --> 00:31:40.839
woman is bisexual, she's going to be open. Open

00:31:40.839 --> 00:31:44.009
wide to... just about whatever comes her way.

00:31:44.269 --> 00:31:48.450
But don't worry, normalizing homosexuality and

00:31:48.450 --> 00:31:51.970
bringing it into the institution of marriage

00:31:51.970 --> 00:31:56.349
will have no deleterious effect in undermining

00:31:56.349 --> 00:32:00.410
the fidelity that is foundational to the Western

00:32:00.410 --> 00:32:04.950
concept of serial monogamy through marriage that

00:32:04.950 --> 00:32:08.109
has extended back into antiquity. We discarded

00:32:08.109 --> 00:32:12.420
all of that retrograde garbage. 15 years ago

00:32:12.420 --> 00:32:16.599
and as the evidence clearly shows the vigorous

00:32:16.599 --> 00:32:19.980
state of marriage in the western world has never

00:32:19.980 --> 00:32:22.460
been better. And parenthetically all this talk

00:32:22.460 --> 00:32:28.579
about infidelity and by extension marriage and

00:32:28.579 --> 00:32:32.740
the products of the union of marriage that is

00:32:32.740 --> 00:32:37.019
children to the question to a selfish answer

00:32:37.019 --> 00:32:40.039
to the question of why have children, beyond

00:32:40.039 --> 00:32:43.079
it being the most basic biological imperative,

00:32:43.200 --> 00:32:45.640
or the second most basic, I suppose. Surviving

00:32:45.640 --> 00:32:49.640
is the most basic, and then procreating is the

00:32:49.640 --> 00:32:55.000
next. Survive and reproduce, those are the biological

00:32:55.000 --> 00:33:00.079
raison de tres of all animal species, all mammalian

00:33:00.079 --> 00:33:02.759
species for sure. including humans. But since

00:33:02.759 --> 00:33:04.279
we're talking about infidelity, something that

00:33:04.279 --> 00:33:08.799
is inherently selfish, perhaps we can mine a

00:33:08.799 --> 00:33:12.680
selfish reason for having children. And it's

00:33:12.680 --> 00:33:18.980
that as we age, as we move from plucky, adventurous

00:33:18.980 --> 00:33:23.359
adolescence and early adulthood into the middle

00:33:23.359 --> 00:33:27.660
-age mellowness that inexorably sets in over

00:33:27.660 --> 00:33:31.609
time. Everything dulls. Going to a bar or to

00:33:31.609 --> 00:33:35.069
a concert or to poker night. Taking trips and

00:33:35.069 --> 00:33:39.289
going on hiking excursions. Or cruises. Or trying

00:33:39.289 --> 00:33:41.950
the new sushi restaurants down the street that's

00:33:41.950 --> 00:33:44.410
all the rage. Getting the newest handheld gadget.

00:33:44.809 --> 00:33:47.549
Binging on the hottest new Netflix series. All

00:33:47.549 --> 00:33:51.230
of these things dull. They just don't pop quite

00:33:51.230 --> 00:33:53.029
the same way that they used to. They don't hit

00:33:53.029 --> 00:33:55.430
with the same sweetness. The excitement doesn't

00:33:55.430 --> 00:33:59.099
build quite as much. The... Existential experience

00:33:59.099 --> 00:34:02.880
becomes a little more difficult each time to

00:34:02.880 --> 00:34:06.420
divorce from the broader timeline of one's life.

00:34:06.819 --> 00:34:10.039
And really the only way to rekindle that magic

00:34:10.039 --> 00:34:15.099
is to live vicariously. by experiencing through

00:34:15.099 --> 00:34:19.000
the eyes of one's own flesh and blood, the very

00:34:19.000 --> 00:34:21.820
product of your loins, your children, to see

00:34:21.820 --> 00:34:25.380
them experience the things that you experienced,

00:34:25.599 --> 00:34:28.760
but to see them experience it anew in a way that

00:34:28.760 --> 00:34:32.320
you once could, but no longer can, that is satisfying,

00:34:32.500 --> 00:34:36.659
that is fulfilling in a way more deep, so much

00:34:36.659 --> 00:34:40.530
deeper and more lasting than being a millennial

00:34:40.530 --> 00:34:43.809
going to see the newest Star Wars corporate slop

00:34:43.809 --> 00:34:48.150
with a few of your childless buddies cannot possibly

00:34:48.150 --> 00:34:50.329
match. And that'll do it for us this week. Thanks

00:34:50.329 --> 00:35:13.610
for listening. We'll talk to you next time. you
