Opinion The Tenth Commandment: Thou shalt not covet thy neighbor's wife - Thoughts on female hypergamy in the context of religion, evolution, game theory, and behavior

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Bespoke translation by yours truly. Original article [A] by Danisch
2025-01-07: Followup here in this thread
2025-01-09: One more followup here in this thread


The Tenth Commandment: Thou shalt not covet thy neighbor's wife​


Another thought for the night on religion: The hypergamy constant.

And also the sixth commandment: Thou shalt not commit adultery.

Just recently I wrote about religion - again. On religion actually being a set of herd behaviorisms as a survival strategy that is being presented as God's commandments to kickstart the herd [behavior] mechanism and get people to believe and obey them.

A religious reader got me thinking.

It's about us today living in a time in which - at least in certain social groups - only the best 20% of the males get sex because the females are hypergamous and want only the best. In the American cultural nexus, that's called "666" - not the devil, but the shorthand for 6 feet tall (1.80 m), 6-figure salary, 6-pack. Which led to the defensive counter reaction MGTOW - men going their own way.

One ostensible problem is that, in Islamic countries, up to four wives per man are permitted (I haven't come across that in practice yet) and thus, necessarily, up to 75% of men are unwed and therefore they have no other choice but to go to foreign countries and look - or rape - there.

A question has crossed my mind.

Is the hypergamous behavior of women perhaps the natural, evolutionarily obtained behavior, and the ratio of 1:4 or 1:5 a kind of genetic constant?
I've mentioned the princess problem multiple times, such as here and here, in which a princess gets sequentially presented n candidates as a groom and can say "no" or "yes" to them, but which is binding, and at the very latest she has to marry the last one, no matter how ugly. A very difficult problem. I think I've read somewhere in computer science that someone allegedly figured out that the optimal strategy is to first pass on n/e (e = Euler's number) candidates to get an impression of the quality on offer and then pick the first one who matches at least the average of the observed candidates so far. But I don't know how they came to that conclusion, I can't derive that now. Of course you could just use game theory to compute it according to Monte Carlo methods: You just set n=1000 and let "princesses" play a million times for every number k from 1 to 1000 with thousand random numbers, first looking at k and then picking the first one above average, what k delivers the best results.

I've read that stewardesses play the same game when the passengers board [the plane]. Everybody needs to "pick" a man who she likes best, and signal that to the others via some secret sign or a greeting. And the last one is picked at the very latest. And then they chitchat on what ugly creature or great man they picked. Mathematically, it's the same problem.

What I want to say is: Algorithmically and game-theoretically, it is apparent that there exists a kind of "hypergamy constant H" which, via game theory, promises the best reproductive result for females: Look for the best H% of males and bang everyone you can get from there. Don't touch the others. Or take them as providers and alimony payers because you get the best H% only for inseminating, but not for life.

I once mentioned that, many, many, many years ago, a good [female] friend warned me what the women at university were gossiping about the men. I was said to be a "teddy bear" type who would get cheated on and defrauded to provide for the kids of other men.

I've once had a particular experience while traveling. I first thought (however, only for a short time) that I met the perfect woman in the travel group, a bullseye hit. I got along super well with her the first, second day of the journey, all day long, everything was wonderful. The next day, suddenly and without any discernible reason, she didn't want anything from me and suddenly hanged out with dumb, but very muscular ruffians and spent time with them. I could smell that she smelled differently, she chemically changed overnight. A different person by smell. The cycle. Even though the literature says that you can't smell the ovulation. And here, other research findings are being discussed, they think that the target selection of women doesn't change during the cycle, but generally, in the fertile phase, generally all men are perceived as more attractive. Does not match my observations and perception. I immediately recalled the warning of my friend.

So I am wondering whether a kind of hypergamy constant has been found as the optimal value through some kind of "evolutionary algorithm" (they were all the rage when I was at university), namely evolution itself, according to which it's the optimal strategy for women to hang out with the top H% of males.

You can observe that among many species in the animal kingdom, not just mammals, also birds, fish, that the males dance or fight against others, have to stick out, and the females observe that and then decide if that's sufficient for them. A selection of the best for optimized reproduction.

And that's natural. It's obvious that - outside of emergency situations - it can't be optimal to just mate with everyone without any criteria because the reproductive burden is very high for females and, unlike males, they can't just pick everything that comes along.

So, it could be the case that it's optimal to mingle with the best 20% or 25% of males in the area and ignore the rest, and evolution has evolved precisely this as the behavior for women under natural circumstances.

And that begs the question of whether the Christian and Islamic "religion" are two different ways of dealing with this evolutionarily gained behavior:

Christianity​

seems to end up in going against this strategy - perhaps as an adjustment to the cold and the pressure to be in a herd - and forces a 1:1 pairing by marriage, which according to Christian teachings is not to be divorced and goes for life, and ensures that every Jack has his Jill. And that it says that way: Thou shalt not commit adultery. Thou shalt not covet thy neighbor's wife.​
“You shall not covet your neighbor’s house; you shall not covet your neighbor’s wife, or his male servant, or his female servant, or his ox, or his donkey, or anything that is your neighbor’s.”​
Everybody gets a house, a wife, a servant, an ox, and a donkey. Thus, in principle, (almost) everybody gets a wife, and the pressure of women to marry was very, very high before. And once married: "in good times as in bad times, till death do us part!"​
The Catholic Church as a counter strategy to evolutionary hypergamy?​

Islam​

instead seems to do the opposite by supporting and defending the evolutionary strategy of the top 20 or 25%. When a man is allowed to have up to four wives, that ultimately means that, in the extreme case, the women focus on the best 25% of the male population and the rest remains empty-handed. The exception is the women who the top 25% of men don't want to have.​
Thus, the passed-over lower bottom percent of men only have two reproductive strategies: adultery and rape.​
And you could get the impression that all of Islam is built around defending those two strategies. Women get - independent from blame - stoned so they can't conceive the child and others get deterred.​
They only marry virgins and prefer to marry little girls, for which you can be certain that they don't get into the marriage already-pregnant.​
And they cut the labia and clitoris off women and sew them together so they can't get impregnated by strangers.​
Marriages get "arranged", as if the parents are basically doing the selection for the underage and not-yet-judgment-capable daughter.​

Hence, the questions:
  • Is there a game-theory-optimal hypergamy constant H or a hypergamy function h(...) that determines the value according to the environmental circumstances, promising the highest reproductive success for women according to them following the goal of looking for sex with men of the top H% or h% and pass over the others?
  • Could evolution experimentally via game theory, evolutionarily, have approached this constant H and led to women having and obeying precisely that as a behavioral program?
  • Is there a central difference between Christianity (especially the Catholic one) and Islam consisting of (Catholic, European) Christianity fighting against this constant and the behavior and pushes for an even distribution whereas Islam at least partially ends up obeying this constant and defending the evolutionary strategy by means of the best 25% of men getting it on and the others getting passed over or needing to resort to infidels?
  • Is a central element of feminism to escape Christianity and take on the natural behavior again, mingling with the best H%, to feel good because you're following the subconscious brain programming?
  • Is the admiration of Islam by female Greens related to that?
Just a computer scientist's thought that needed to get out of the brain after I spoke to someone religious.
 
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The author is a manosphere fellow, you can see it from a mile away. However, there is some hypergamy in womens nature cause theyre mate selectors and "have a biological instinct to produce children every mating season". The mate selection process itself involves vetting the perfect candidate based on genetic, biological and behavioral factors, thats where attraction comes from. In theory women would be more attracted to the idea of having multiple children with multiple men, to maximize the quality of offspring, it happens in animals so it must happen in humans as well to some degree. Its just that humans know how to suppress such things well or have surpassed it to some degree. This guy uses nonsense reasoning to arrive at a reasonably correct conclusion.

Edit:
What I want to say is: Algorithmically and game-theoretically, it is apparent that there exists a kind of "hypergamy constant H" which, via game theory, promises the best reproductive result for females: Look for the best H% of males and bang everyone you can get from there. Don't touch the others. Or take them as providers and alimony payers because you get the best H% only for inseminating, but not for life.
NVM he was sort of thinking the same but not quite, I only read the religion crap so I missed this. Still this is not completely correct and is quite incel adjacent reasoning.
 
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Hence, the questions:
  • Is there a game-theory-optimal hypergamy constant H or a hypergamy function h(...) that determines the value according to the environmental circumstances, promising the highest reproductive success for women according to them following the goal of looking for sex with men of the top H% or h% and pass over the others?
  • Could evolution experimentally via game theory, evolutionarily, have approached this constant H and led to women having and obeying precisely that as a behavioral program?
  • Is there a central difference between Christianity (especially the Catholic one) and Islam consisting of (Catholic, European) Christianity fighting against this constant and the behavior and pushes for an even distribution whereas Islam at least partially ends up obeying this constant and defending the evolutionary strategy by means of the best 25% of men getting it on and the others getting passed over or needing to resort to infidels?
  • Is a central element of feminism to escape Christianity and take on the natural behavior again, mingling with the best H%, to feel good because you're following the subconscious brain programming?
  • Is the admiration of Islam by female Greens related to that?
Just a computer scientist's thought that needed to get out of the brain after I spoke to someone religious.
Can't say for the first two, but the last three are all definitely yes answers. There is most certainly an undercurrent of female thought that prefers islamification to Christianity. You need only take a look at Europe for the past decade for proof of this.
 
Whenever the media brings up anything Bible-related, just know that its most likely corrupted to Hell and back just to serve their agenda.
I almost never translate anything from mainstream media, the author of this piece is just a thinker without any institutional/dictated agenda
 
This is a bit of a tangent but....
I distinctly remember learning that this was the 9th commandment so I had to check.
Turns out, it is the 9th in every language except English.
Why?
Who the fuck messed with it?
Why do you Anglos have to edit the fucking Bible?
 
Followup article dropped [A], translated:

The secretary problem​


I have - again - mentioned the "princess" problem.

I still remember that from the time of my university studies, but ad hoc I didn't recall any source. It was related to the problem that the princess needs to find a spouse and n candidates (e.g. n=100) are sequentially being presented to her, whom she doesn't know or see beforehand. After the individual candidate, she must - irrevocably - immediately say "Yes" or "No" and pick the last candidate if no other candidate was picked by then. Of course this can go horribly wrong if nobody is good enough for you and the last candidate happens to be Quasimodo or Honecker. How do you act? What strategy do you choose?

Readers knew where to look. The problem has many names, but is usually referred to the "secretary problem" in publications (as far as I recall, this was not a common name), but also the princess or marriage problem. No matter what it's called, it's always about the same problem, and there are notes to it in the German and English Wikipedia.

It exists in countless variations, like the boss who hires a secretary or the used car salesman who needs to sell a car at the best price.

However, apparently I misremembered one detail. I correctly recalled that you should first pass up on n/e candidates and only look at them, but I wasn't certain of whether you take the first who is better than all of those n/e candidates or just better than the average, and I wrongly wrote better than the average. But the approach is, after the n/e candidates, to take the first one who is better than all previous candidates.

In both pages, the solution is being commented on, but more comprehensively in the English one, and that also explains how Euler's number gets into the solution, because it is about an integral over 1/t after dt, which according to the known integral rules (an integral means Bronstein-integrable, ...) can be rephrased as a product with ln(..), and thus you got Euler's number in it.

The approach is also known as Odds strategy or Bruss algorithm.

So if you knew exactly how many marriage candidates you come across in life, you would know exactly what algorithm to use for choosing.

But the problem seems familiar to me from searching for jobs or apartments or special offers. Actually, in searching for apartments, I also took the approach that I first look at a handful, even if I know in advance that I'll certainly not take them, to calibrate my expectations, and then go into decision mode after a certain while.
 
I distinctly remember learning that this was the 9th commandment so I had to check.
Not sure which translations of the Bible you're comparing, but IIRC Catholics and Protestants number the commandments differently. It would be the 9th for Catholics, who split coveting wives versus coveting goods as 9 and 10, but 10th for Protestants who combine those into one commandment and split the Catholics' 1st into two: having no gods before God as 1 and not making graven images as 2. The Exodus text doesn't number them, so there's differences of interpretation where one commandment ends and another begins.
 
Not sure which translations of the Bible you're comparing, but IIRC Catholics and Protestants number the commandments differently. It would be the 9th for Catholics, who split coveting wives versus coveting goods as 9 and 10, but 10th for Protestants who combine those into one commandment and split the Catholics' 1st into two: having no gods before God as 1 and not making graven images as 2. The Exodus text doesn't number them, so there's differences of interpretation where one commandment ends and another begins.
Interesting.
I need to ask some of the Jews I know to translate the Hebrew version for me.
 
Followup on the secretary problem [A], translation:

On the princess/secretary problem​


A reader asks:

Princess/SecretaryProblem
Hello Hadmut,​
I am left wondering about a detail on the princess problem that you described.​
If the best possible candidate is among the first n/e, it follows that she always gets stuck with the last candidate because, among the remaining candidates, there is no one left who is better than all the previous one.​
I understood it with your original description with the average, so that the n/e serve the purpose of establishing the average and then taking the first one who's matching or exceeding that average.​
But that the princess needs to find someone in the remaining people who is better than all previous ones... and that is supposed to be optimal, is kinda strange.​
Euler's number is 2.71... so that means that around 37% are "waved through", that's a solid third of all available candidates. - If the best one was already among them, she is damned to pick the last one that's being shown to her. I intuitively guessed that the average thing was the better solution for the problem.​
Where am I making a mistake?​

That's not very simple to explain, it needs a bit of mathematical understanding and experience.

The nasty thing about this princess/secretary problem is, and that is very typical for game theory, that there is no solution, no method, no algorithm, with which to find the best candidate. If that were possible, it would be a) uninteresting and b) solved as a problem. Just like Tic Tac Toe: If everyone plays perfect, you will achieve at least a draw.

Such games for which a perfect solution exists are, if that solution is known, only interesting insofar as it comes to finding shorter solutions. (It's been an assignment in the computer algebra lecture in my university studies, optimizing solution strategies for Rubik's Cube and find shorter solution tables.)

The princess problem or secretary problem is constructed in such a way that you can't find a perfect solution. You never know if someone better comes along.

That's why it's about finding a strategy, an algorithm, a procedure that finds the best possible statistical result. Which is a bit paradoxical because you only marry once (or few times) in life, but probabilities are actually, on closer examination, limits that the game result converges to if the number of played games (or of every other statistically observed event) converges towards infinity.

Sorry, that's not easy to understand. It's part of analysis. In my pre-diploma, that was one of the exams with fail quotas of 80 to over 90 percent.

The presented problem has no perfect solution. It is posited in a way that you get into a dilemma and it can go terribly wrong.

Computer scientists like looking at the edge cases in such situations (also in sorting algorithms), what happens when the people are not randomly ordered.
  • Example 1:
    Imagine the candidates are sorted by descending quality. Then the described "optimal" solution would necessarily pick the last candidate and thus the worst one.
  • Example 2:
    Imagine the candidates are sorted by ascending quality. Then the "optimal" solution would pick the candidate after the n/e passed through candidates, also that's also quite a bad one because he's below average.
There's also no correct method to pick the right lottery numbers. You don't know in advance. You have no choice but to guess.

You cannot improve or optimize the chances of winning the lottery using some algorithm.

However, you can optimize, improve the average or expected gain, namely if you know that many people bet on birthdays (1 to 12, 1 to 31, year numbers) or patterns. So if you pick numbers that don't look like patterns and can't show up in birthdays, you've got exactly the same winning probability as with all other numbers - but a high probability of fewer people who also picked those numbers, and thus fewer winners that have to split the pot.

You need to understand that, even for problems that you cannot perfectly solve because you simply don't know what's going to come, you can still find methods, strategies which optimize the probability of success, that is, give the best result in the mean if you play the game very often. However - see the examples above - it can go terribly wrong in individual cases. What if the best candidate shows up right at the start and you reject him because you don't know yet that he's the best?

Or you pick Prince Charming without knowing that Superman would come later?

But if you were to repeat the game very often, this would give you in the mean, on average of all game runs, the best result. It can happen that you fail a few times. Because the game is constructed in a way that you can't prevent it. There's no guaranteed quality of the candidates either. It could be that 100 losers come and it doesn't matter which you pick, all of them are failures.

It's hard to understand, you first need to conclude that there is no always-working solution for the problem. There's no miracle solution. You can -see the examples above - prove that every approach can fail.

But: There exists one method that, on average, in the mean gives the best result.

I am now going to make a big mistake. I will bring up two examples which will necessarily lead to endless nasty discussions.

The Three Door Problem​


Generations of people waged war over this. Very nasty thing, because some people get it and some people don't.

Do you remember this television show with the Zonk and Ralf Dräger?

The following problem: You are a candidate in a televised game show. There are three closed doors, and behind one of them is a great prize, and nothing is behind the two others. You are allowed to choose a door and pick one. But it doesn't get opened yet. The game master says: "I'll show you something" and opens a different door, behind which is a fail. And now asks: Do you stick with your door or do you want the other of the two closed doors?

Some (including I) say that it's advisable to switch because the door you have now wins with a probability of 1/3, so you achieve a 2/3 probability by switching the door. Others say it doesn't matter because there are only two doors left, thus a probability of 50%.

During my university time, that problem was roaming around the USA and almost led to a civil war of the two stances, also one author, Marilyn vos Savant, who according to the Guinness Book of Records (or something of the sort) had the IQ world record, said that the 1/3-2/3 solution is correct.

It - basically - is correct, even though the prize can be behind both doors. But you can imagine it as if the moderator asks "Do you want your gate, or do you want what's behind the other two gates put together?"

The crux of the matter, and at the time (at least at university), it looked like nobody but I noticed that the problem is not unambiguous, but ambiguous, and every solution needs to be matched to a case, so it is depends on how you understand the problem:
  • Variant 1 is: The moderator knows which gate the prize is behind and intentionally and deliberately picks a door with a fail. Which he can do, because there are two other gates after picking a gate, so there is always at least one with a fail, and he can do it. Then it remains a 1/3-2/3 probability, because the moderator's behavior can't change the success probability of the first choice and, with the switch, you basically get the two other gates put together.
  • But variant 2 is: The moderator doesn't know which gate the prize is and just guesses. So it could happen that the moderator himself gets the prize with a 1/3 probability, and it's only coincidence when it doesn't happen, so you only look at the two remaining cases in which the moderator doesn't win, and those are then 50:50.
I think not even the most intelligent woman in the world noticed that the problem wasn't unambiguous, it can be understood two different ways, and every solution fits one understanding.

But: Almost nobody noticed the difference. Basically everyone in favor of the 50:50 solution either understood variant 1 or didn't think far enough or didn't understand the difference, and were simply unable to understand the statistical game theory problem that you don't know behind which gate the prize is, but across many runs, the best strategy in the mean is to give up the gate and switch, with a 2/3 probability of success. It can go wrong, but in the mean, it's the better approach. But not everyone gets it.

COVID vaccine​


They made the nastiest accusations against me and, to this day, I occasionally get insulted, some people ignore me or blame me to this day that I got the COVID vax.

Even though, at the time, I described in detail that you are facing a similar problem: You need to make a decision before you can know what is the right choice. There is no right choice in the individual case because you're not a clairvoyant. It's a lottery game in which you only know in hindsight what was right. Also a problem from the area of decision theory.

No matter what you do, it can go wrong. That is why you need to try to find a decision method of which you assume (or know) that, for an infinite number of runs, it gives the best results in the mean. Not always right, but right as often as possible. Which is hard to understand when you can't repeat the decision arbitrarily often, but make it only once (marry, COVID vax, play at the Zonk).

The problem - just like with the problem with the three doors - is that there are people who can understand that, and others who can't, who just can't get that into their brain. It could have something to do with brain structures and preferences, which also supports my conviction that not everybody can do anything, but some people can, and others can do other things (and some can't do anything).

Greedy algorithms​


One more aside from algorithm technology: The problem is closely related to the group of greedy algorithms. [...] That's the term for algorithms which pick something from multiple alternatives and then stick to their guns, can't improve, but are bound to the choice.

Classically, you learn something like that in particular with recursive solution searches like the path through a maze. There are algorithms that irreversibly stick to a found solution, even if they could later find better, shorter ways. Example: There is a method to find your way through a maze by always taking a turn to the left and just stick to the wall. Depending on the way the maze is constructed, it always leads to the exit. But it could be much shorter to make a right turn, such as when the exit is just to the right next to the start, instead of recursively marching through the entire maze.

Earlier I mentioned the algebra assignment with Rubik's Cube. I don't perfectly recall the algorithm now after almost 40 years. You recursively search for combinations by trying rotations and then checking what fields they change and which they leave the same. So you make tables which, to every field X that needs to get into position Y, collect solution moves which, however, get increasingly more complex, depending on how many fields need to remain unchanged. For the first field it doesn't matter what you mess with. For the second field you solve for, you need to watch out so you don't change the first field, so you may only make moves that leave the first field unchanged. For the third field, the first and second field need to remain unchanged, and so on and so forth.

As soon as the table is complete, you have solved the Rubik's Cube as a problem because, for every arbitrary position, you can say what sequence of moves - from the table - can be used to return it.

But: Once the table is complete for the first time, it is horribly bad. Bad, long moves. So you let the algorithm keep on searching so it can replace known moves with known properties with better, because shorter, moves with the same properties. The longer you let the computer compute, the better, because shorter, the moves in the table get, and the fewer moves the procedure needs to solve cubes. That's the opposite of a greedy algorithm, it can give up on decisions and replace them with better ones. If the recursion depth is longer than the longest previously known move, you are finished because you cannot find a better move. So you can find the optimal solution.

But the secretary problem is made so you can't revoke your situation. The decision is final, and you must make it before you have the necessary knowledge to do it.

That's why the problem is so nasty, and interesting for game theory and decision theory: There is no right, no perfect solution. Every method can go bad. No matter what you do, you can always make the worst decision and get to Quasimodo. The problem can't be solved.

But: You can find methods that, on average, in the mean, if you were to play the game often, in theory infinitely often, it would converge, asymptotically give the best results.

If that were trivial and easy to understand, you wouldn't need to study math and computer science.

Especially, you need to say goodbye to the naive interpretation (keyword is the Joke of the husband store) that you can somehow optimize yourself in a way that you can find the best candidate. The problem is made so you can't do that systematically, only randomly.

The first path to understanding is to realize that the question "But what if the best was already among the first n/e" is wrong and you can only ask it if you didn't understand the problem. The problem has no perfect solution. It can't. You can choose the best one only as a lucky pick, but not systematically.

The catch in this thing is understanding that the task isn't "Find the best candidate", but "Make the best of it!", "Find the best decision method". Just like the husband store and the wife store. Realizing that the problem has no perfect solution. (For movie fans: Similar to the Kobayashi-Maru test, it wasn't solvable, and it was about dealing with an unsolvable problem.)

The task is to get into an unsolvable problem and come out with a result that is probabilistically as good as can be and to be happy with it. Because everyone could be the best one with an equal probability. You don't know. But if you assume that the candidates are within a certain value range, it is reasonable to first look at a few of them to get a standard, and then pick the first one who's better. Game theory. Decision theory.

The task isn't to find the best spouse. But the best decision method.

And maybe, or certainly, it's related to so many women falling for their self-optimization craze and waiting for the best one, because they lack the insight that this problem can't be solved, and then, in their mid 30s, they are growing old as a childless single towards menopause.

And that is the reason why it was a mistake to liberate girls from mathematics in school.

By the way, this, just like the task with the three doors, is something that I would discuss with a candidate in a job interview to see if he can think mathematically, asymptotically.
 
One ostensible problem is that, in Islamic countries, up to four wives per man are permitted (I haven't come across that in practice yet) and thus, necessarily, up to 75% of men are unwed and therefore they have no other choice but to go to foreign countries and look - or rape - there.
No other choice whatsoever! Simply out of their control.
Hello Hadmut,
I think I see the problem
 
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