Authored by vittorio on X,
Bill Ackman quote-tweeted a graph showing the partisan gap between young men and women almost doubled in 25 years.
Women moved radically left. Men stayed roughly where they were.

Good question. Most answers I've seen are either tribal ("women are emotional") or surface-level ("social media bad"). Neither traces the actual mechanism.
Let me try.
First, notice what Wanye pointed out:
We've
been told for a decade that men are "radicalizing to the right" and
that this is dangerous. The actual data shows the opposite. Men barely
moved. Women moved 20+ points leftward.
The
story we are told is exactly inverted from reality. And when female
leftward movement does get discussed, it's framed as progress: "women
becoming more educated, more independent, more enlightened."
They'll tell you the graph shows enlightenment and progress.
Wrong.
What the graph shows is capture.
This Isn't Just America
Before getting into the mechanism, something important: this pattern isn't only American. It's global.
The
Financial Times documented last year that the gender ideology gap is
widening across dozens of countries simultaneously. UK, Germany,
Australia, Canada, South Korea, Poland, Brazil, Tunisia. Young women
moving left on social issues, young men either stable or drifting right.

This
matters because it rules out explanations specific to American
politics. It's not Title IX policy. It's not #MeToo. It's not the
specific culture war of US campuses. Something bigger is happening,
something that rolled out globally at roughly the same time.
South
Korea is the extreme case. Young Korean men are now overwhelmingly
conservative. Young Korean women are overwhelmingly progressive. The gap
there is even wider than the US. Contributing factors include mandatory
military service for men (18 months of your life the state takes, while
women are exempt) and brutal economic competition. But the timing of
divergence still tracks with smartphone adoption.
Whatever is causing this, it's not American. The machine is global.
The Substrate
Start with the biological hardware.
Women evolved in environments where social exclusion carried enormous survival costs.
You can't hunt pregnant. You can't fight nursing. Survival required the
tribe's acceptance: their protection, their food sharing, their
tolerance of your temporary vulnerability. Millions of years of this and
you get hardware that treats social rejection as a serious threat.
Men faced different pressures.
Hunting parties gone for days. Exploration. Combat. You had to tolerate
being alone, disliked, outside the group for extended periods. Men who
could handle temporary exclusion without falling apart had more options.
More risk-taking, more independence, more ability to leave bad
situations.
(Male status still mattered enormously for
reproduction, low-status men had it rough. But men could recover from
temporary exclusion in ways that were harder for pregnant or nursing
women.)
This shows up in personality research. David
Schmitt's work across 55 cultures found the same pattern everywhere:
women average higher agreeableness, higher neuroticism (sensitivity to
negative stimuli, including social rejection cues). Men average higher
tolerance for disagreement and social conflict. The differences aren't
huge, but they're consistent across every culture studied.

Not better or worse. Different selection pressures, different adaptations.
But it means the same environment affects them differently. Consensus pressure hits harder for one group than the other.
The Machine
Now look at what we built.
Social media is a consensus engine. You can see what everyone believes in real time. Disagreement is visible, measurable, and punishable at scale. The tribe used to be 150 people. Now it's everyone you've ever met, plus a world of strangers watching.
And
look at the timeline. Facebook launched in 2004 but was college-only
until 2006. The iPhone was launched in June 2007. Instagram in 2010.
Suddenly, social media was in your pocket and in your face, all day,
every day.


Look at the graph again. Women were roughly stable through the early 2000s. The acceleration starts around 2007-2008.
The curve steepens through the 2010s as smartphones became universal and platforms became more sophisticated.
Women are by nature more liberal, but the radicalization coincides with the rise in smartphone adoption.

The machine turned on and the capture began.
The
mental health collapse among teenage girls tracks almost perfectly with
smartphone adoption, with stronger effects for girls than boys. The
same vulnerability that made social exclusion more costly in ancestral
environments made the new consensus engines more capturing.
This
machine wasn't designed to capture women specifically. It was designed
to capture attention. But it captures people more susceptible to
consensus pressure more effectively. Women are more susceptible on
average. So it captured them more.
Add a feedback loop:
women complain more than men. Scroll any platform and it looks like
women are suffering more. Institutions respond to this because visible
distress creates liability, PR risk and regulatory pressure. In
addition, women are weaker and inevitably seen as the victim in most
scenarios. The institutional response is to make environments "safer".
Which means removing conflict. Which means censoring disagreement. Which
means the consensus strengthens.
The counterarguments get removed or deplatformed and the loop closes.
The Institutions
Universities flipped to 60% female while simultaneously becoming progressive monoculture.
The institution young women trust most, during the years their
worldview forms, feeds them a single ideology with no serious
opposition.
FIRE's campus speech surveys show the pattern clearly:
students self-censor, report fear of expressing views, cluster toward
acceptable opinions. This isn't unique to women, but women are more
embedded in higher education than men now, and the fields they dominate
(humanities, social sciences, education, HR) are the most ideologically
uniform.
Four years surrounded by peers who all believe
the same thing. Professors who all believe the same thing. Reading lists
pointing one direction. Disagreement is not even rare, it's socially
punished. You learn to pattern-match the acceptable opinions and perform
them.
Then they graduate into female-dominated fields:
HR, media, education, healthcare, non-profits, where the monoculture
continues. From 18 to 35, many women never encounter sustained
disagreement from people they respect. The feedback loop never breaks.
Men
took different paths. Trades. Engineering. Finance. Military. Fields
where results matter more than consensus. Fields where disagreement is
tolerated or even rewarded. The monoculture didn't capture them because
they weren't in the institutions being captured. (mostly because they
were kicked out of them, but that's a different piece)
The Economics
Marriage collapsed. This probably matters more than people think.
Single
women vote more left than married women. This is consistent across
decades of exit polls. Part of this is likely economic: single
women interact with government more as provider of services, married
women interact with government more as taker of taxes. The incentives point different directions.

The
marriage gap in voting is one of the most consistent predictors. And
marriage rates have collapsed precisely during the period of divergence.
Men
saw marriage collapse differently. Family courts. Child support.
Alimony. The rational response was skepticism of expanding state power.
Same phenomenon, different positions in it, different political responses.
The Algorithms
Algorithms optimize for engagement. Engagement means emotional response. Time on platform. Clicks. Shares. Comments.
Women
respond more strongly to emotional content on average, they are more
empathetic, they can be more easily manipulated with sad stories. That
higher neuroticism again, higher sensitivity to negative stimuli. The
machine learned this. It fed them content calibrated to their response
patterns. Fear. Outrage. Moral panic. Stories about danger and injustice
and threat and wars and "victims".
Men got different feeds because they responded to different triggers.
The algorithm doesn't really have a gender agenda. It has an engagement
agenda. But engagement looks different by demographic, so the feeds
diverged.
Women ended up in information environments optimized for
emotional activation. Men found alternatives: podcasts, forums, cars,
wars, manosphere etc.
The Ideology
Feminism told women
their instincts and biology were oppression and wrong. Wanting children
was brainwashing. Wanting a provider husband was internalized misogyny.
Their natural desires were false consciousness installed by patriarchy.
Many believed it. Built lives around it. Career first. Independence. Freedom from traditional constraints.
Now
they're 35, unmarried, measuring declining fertility against career
achievements. And here's the trap: the sunk cost of admitting the
ideology failed is enormous. You'd have to admit you wasted your fertile
years on a lie. That the women who ignored the ideology and married
young were right. That your mother was right.
I think this
is why you see so little defection. Not because the ideology is true,
but because the psychological cost of leaving is higher than the cost of
staying. Easier to double down. Easier to believe the problem is that society hasn't changed enough yet.
The Other Capture
I should be honest about something: men weren't immune to capture. They were captured differently.
Women
got ideological conformity. Men got withdrawal. Porn. Video games.
Gambling apps. Outrage content. The male capture wasn't "believe this or
face social death." It was "here's an endless supply of dopamine so you
never have to build anything real."
Different machines, different failure modes. Women got compliance. Men got passivity.
The
male line on that graph staying flat through 2020 isn't necessarily
health. It might just be a different kind of sickness, men checking out
instead of being pulled in. Or it may be that everyone and everything
moved more left and women moved lefter.
The Line Is Moving Now
Here's the update: the male line isn't flat anymore.
Post-2024 data shows young men shifting right. Recent surveys all show the same thing. Young men are now actively moving more conservatively.
My
read: women got captured first because they were more susceptible to
consensus pressure. The capture was fast (2007-2020). Men resisted
longer because they were less susceptible and less embedded in captured
institutions. But as the gap became visible and culturally salient, as
"men are the problem" became explicit mainstream messaging, as men
started being excluded from society because of lies, as masculinity, or
the very thing that makes men men became toxic, men had to start
counter-aligning.
The passivity is converting into opposition. The withdrawal is becoming active rejection.
This
doesn't mean men are now "correct" or "free". It might just mean
they're being captured by a different machine, one optimized for male
grievance instead of female consensus. Andrew Tate didn't emerge from
nowhere. Neither did the manosphere. Those are capture systems too, just
targeting different psychological vulnerabilities.
The graph is
now two lines diverging in opposite directions. Two different machines
pulling two different demographics toward two different failure modes.
Some
people will say this is just education: women go to college more,
college makes you liberal, simple as that. There's something to this.
But it doesn't explain why the gap widened so sharply post-2007, or why
it's happening in countries with very different education systems.
Some
will say it's economic: young men are struggling, resentment makes you
conservative. Also partially true. But male economic struggles predate
the recent rightward shift, and the female leftward move happened during
a period of rising female economic success.
Some will
point to cultural figures: Tate for men, Taylor Swift for women. But
these are symptoms, not causes. They filled niches the machines created.
They didn't create the machines.
The multi-causal model
fits better: biological substrate (differential sensitivity to
consensus) + technological trigger (smartphones, algorithmic feeds) +
institutional amplification (captured universities, female-dominated
fields) + economic incentives (marriage collapse, state dependency) +
ideological lock-in (sunk costs, social punishment for defection).
No single cause. A system of interlocking causes that happened to affect one gender faster and harder than the other.
So What
If this model is right, some predictions follow.
The
gap should be smaller in countries with later smartphone adoption or
lower social media penetration. (This seems true: the divergence is less
extreme in parts of Eastern Europe and much of Africa, though South
Korea is a major exception due to other factors.)
The gap should
narrow among women who have children, since parenthood breaks the
institutional feedback loop and introduces competing priorities. (Exit
polls consistently show this: mothers vote more conservative than
childless women.)
The gap should continue widening until the machines are disrupted or the generations age out of them.
Here's
the part I don't know how to solve: these systems are self-reinforcing.
The institutions aren't going to reform themselves. The algorithms
aren't going to stop optimizing. The ideology isn't going to admit
failure. The male counter-capture isn't going to produce healthy
outcomes either.
Some women will escape.
The
ones who have children often do since reality is a powerful solvent for
ideology. The ones who build lives outside institutional capture
sometimes do.
Some men will stop withdrawing or stop rage-scrolling.
The ones who find something worth building. The ones who get tired of the simulation.
But the systems will keep running on everyone else.
The Question
Bill asked why.
The
answer isn't "women are emotional" and it isn't "social media bad." The
answer is that we built global-scale consensus engines and deployed
them on a species with sexually dimorphic psychology. The
machines captured the half more susceptible to consensus pressure. Then
they started capturing the other half through different mechanisms.
We're watching the results in real time. Two failure modes. One graph. Both lines are moving away from each other and away from anything healthy.
I don't know how this ends. I don't think anyone does. I don't think it will.
Both machines are still running.