Correction: The prefrontal cortex does NOT "mature" early-to-mid 20s: It depends on what you measure. Intracortical myelination — a better biomarker than gray matter thickness, studied in the old "brain matures at 25" study — peaks during the mid-to-late 30s.
The steady myelination decline following the mid-to-late 30s peak results in reduced efficiency: worse problem solving, decision making, memory, processing speed, etc. Brain hardware doesn't revert back to "adolescent" building/learning phase, it just deteriorates slowly.
The "brain matures at 25" claim doesn't even come from the old study, since their sample was age 4 to 21; it was the authors' guesstimate from interviews conducted after the paper was published.
(Debunking myself because I found a paper I saved 3 years ago)
The steady myelination decline following the mid-to-late 30s peak results in reduced efficiency: worse problem solving, decision making, memory, processing speed, etc. Brain hardware doesn't revert back to "adolescent" building/learning phase, it just deteriorates slowly.
The "brain matures at 25" claim doesn't even come from the old study, since their sample was age 4 to 21; it was the authors' guesstimate from interviews conducted after the paper was published.
(Debunking myself because I found a paper I saved 3 years ago)
This is the most recent large-scale study on lifelong structural brain development (which I discuss in this post).
https://nature.com/articles/s41467-025-65974-8
https://nature.com/articles/s41467-025-65974-8
Nature
Topological turning points across the human lifespan
Nature Communications - Researchers discovered five phases of brain rewiring across the lifespan. The eras of childhood, adolescence, adulthood, early aging, and late aging each have characteristic...
Historically, approximately 15-40% of marriages in England were shotgun weddings.
#fertility (I'm going to hashtag fertility posts so I can find them easily)
#fertility (I'm going to hashtag fertility posts so I can find them easily)
Age of first-time mothers in America, 1980 versus 2016:
In 1980, the modal age of first-time mothers was 19, and the percentage of 16-year-old first-time mothers was almost double that of 30-year-old first-time mothers.
In 2016, the percentage of 18- and 30-year-old first-time mothers is practically equal, and 20-years-old has taken the modal spot from 28-years-old by a minute fraction of a percentage.
New York Times (2018) #fertility
In 1980, the modal age of first-time mothers was 19, and the percentage of 16-year-old first-time mothers was almost double that of 30-year-old first-time mothers.
In 2016, the percentage of 18- and 30-year-old first-time mothers is practically equal, and 20-years-old has taken the modal spot from 28-years-old by a minute fraction of a percentage.
New York Times (2018) #fertility
Effects of state-level recreational marijuana legalization:
- People buy more junk food
- spend less time outdoors
- less time at work
- less time in bars and restaurants
- less time at the gym
- less time doing cardio
- more time at home
18-21 year olds, theoretically not impacted by RML, were included for comparison: They spent less time at home, and more time outdoors, at gym, work, bars and restaurants.
(Each point in the graphs represents the difference between RML and non-RML states quarterly relative to the enactment year).
Source: Couch-Locked with the Munchies: Effects of Recreational Marijuana Laws on Exercise and Nutrition (2024)
- People buy more junk food
- spend less time outdoors
- less time at work
- less time in bars and restaurants
- less time at the gym
- less time doing cardio
- more time at home
18-21 year olds, theoretically not impacted by RML, were included for comparison: They spent less time at home, and more time outdoors, at gym, work, bars and restaurants.
(Each point in the graphs represents the difference between RML and non-RML states quarterly relative to the enactment year).
Source: Couch-Locked with the Munchies: Effects of Recreational Marijuana Laws on Exercise and Nutrition (2024)
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King Cuck of Great Britain confirms digital ID will be implemented.
I guess British libtards/globalists are in a hurry to implement this stuff before Reform or Restore get into power and abolish it all, but even talking about implementing digital ID is just plays into their hands.
I guess British libtards/globalists are in a hurry to implement this stuff before Reform or Restore get into power and abolish it all, but even talking about implementing digital ID is just plays into their hands.
After leftists were rattled by Trump's victory and Brexit, they invented the "Misinformation + Disinformation" psyop out of thin air to justify massive online censorship.
It wouldn't surprise me of this idea was coined by the CIA and/or MI5/MI6.
When the "misinformation + disinformation" psyop mostly fell through, they went full steam ahead on digital ID, which is a much older globalist project, related to the UN's Agenda 21 / Sustainable Development (see e.g.: https://en.wikipedia.org/wiki/ID2020)
It wouldn't surprise me of this idea was coined by the CIA and/or MI5/MI6.
When the "misinformation + disinformation" psyop mostly fell through, they went full steam ahead on digital ID, which is a much older globalist project, related to the UN's Agenda 21 / Sustainable Development (see e.g.: https://en.wikipedia.org/wiki/ID2020)
Body counts of heterosexual non-transgender White women age 18-34: very liberal vs. very conservative
Libtards have higher body counts on average, but there isn't a huge difference between the two populations.
The Very Liberal sample size is ~10 times larger, so it gives a smoother curve and more accurate measurements. Note the larger confidence intervals for older women in the Very Conservative sample. However, the smaller sample size of n=3,311 is still good.
Libtards have higher body counts on average, but there isn't a huge difference between the two populations.
The Very Liberal sample size is ~10 times larger, so it gives a smoother curve and more accurate measurements. Note the larger confidence intervals for older women in the Very Conservative sample. However, the smaller sample size of n=3,311 is still good.
This data is sourced from the "big kink survey" (more results here). You may think: "how on earth is this pervert survey representative?"
Obviously no online sex survey is truly nationally representative of any country, but the overwhelming majority of respondents were White Westerners.
Respondents came from a variety of sources (twitter, tiktok, reddit, etc.) and the sample is weighted to make it more representative of the US population.
It also has a colossal sample size of n=980,000, which you can heavily filter to explore results from specific subpopulations, excluding certain sample sources, races, and so on.
Respondents were mostly left-wing, hence the "very liberal white women" sample size being ten times larger than the "very conservative" sample size, but this doesn't really matter when there are still thousands and thousands of non-leftist samples.
Obviously no online sex survey is truly nationally representative of any country, but the overwhelming majority of respondents were White Westerners.
Respondents came from a variety of sources (twitter, tiktok, reddit, etc.) and the sample is weighted to make it more representative of the US population.
It also has a colossal sample size of n=980,000, which you can heavily filter to explore results from specific subpopulations, excluding certain sample sources, races, and so on.
Respondents were mostly left-wing, hence the "very liberal white women" sample size being ten times larger than the "very conservative" sample size, but this doesn't really matter when there are still thousands and thousands of non-leftist samples.
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Thuletide
Body counts of heterosexual non-transgender White women age 18-34: very liberal vs. very conservative
Libtards have higher body counts on average, but there isn't a huge difference between the two populations.
The Very Liberal sample size is ~10 times larger…
Libtards have higher body counts on average, but there isn't a huge difference between the two populations.
The Very Liberal sample size is ~10 times larger…
Imperial Italian samples from Rome can be modeled as descending overwhelmingly from the mixed Greek-Anatolian population of Hellenistic Anatolia. I've only included non-outlier samples, representative of the average population.
The results were pretty much identical whichever post-Bronze Age Anatolian source I used, but the Hellenistic era source gave the best fit and is the most historically plausible, since the Romans conquered Hellenistic Anatolia.
I have no idea what the authors of the old Roman & Etruscan genetic studies were thinking when they modeled Imperial Italians as half Roman Republic + half Levantine.
It looks like they have no Republic-era central Italian ancestry at all - although G25 often confuses Roman Republic ancestry with Balkan or Continental Celtic ancestry, due to their genetic similarity. Any "Levantine" ancestry could also be Eastern Anatolian. It's possible that my model is terribly wrong somehow, but I doubt it.
The results were pretty much identical whichever post-Bronze Age Anatolian source I used, but the Hellenistic era source gave the best fit and is the most historically plausible, since the Romans conquered Hellenistic Anatolia.
I have no idea what the authors of the old Roman & Etruscan genetic studies were thinking when they modeled Imperial Italians as half Roman Republic + half Levantine.
It looks like they have no Republic-era central Italian ancestry at all - although G25 often confuses Roman Republic ancestry with Balkan or Continental Celtic ancestry, due to their genetic similarity. Any "Levantine" ancestry could also be Eastern Anatolian. It's possible that my model is terribly wrong somehow, but I doubt it.
To support my argument that the average Imperial Roman was basically a fresh-off-the-boat Hellenized Anatolian, here is a deep ancestry model comparing Imperial Romans to Greeks, Aegean Anatolians, and Central Anatolians from the Early Bronze Age to Roman periods.
I used two sets of Imperial Roman samples and both were most genetically similar to Anatolianized Greeks from the Roman period, Hellenized Anatolians, and Byzantine Anatolians (specifically from the Aegean coast).
btw India_RoopkundB = Greeks in India, not actual Indians.
I used two sets of Imperial Roman samples and both were most genetically similar to Anatolianized Greeks from the Roman period, Hellenized Anatolians, and Byzantine Anatolians (specifically from the Aegean coast).
btw India_RoopkundB = Greeks in India, not actual Indians.