The academic weeping and wailing follows a predictable script. A scientist claims they were on the precipice of a breakthrough that would elevate human cognition, cure learning disabilities, and turn average minds into super-geniuses. Then, the tragic twist: the grant money ran out. The media swoons, framing the budget cut as a short-sighted tragedy, a blow to human progress engineered by clueless bureaucrats.
It is a neat, emotionally compelling narrative. It is also entirely wrong.
The reality of intelligence research—specifically the subset dedicated to finding "interventions" that make people smarter—is that it has been spinning its wheels in a mud pit of replication failures for over half a century. Governments do not cut these grants because they hate progress. They cut them because they are tired of funding the psychological equivalent of alchemy.
We have spent billions of dollars trying to engineer a shortcut to brilliance. The results are in, and they are worse than zero. It is time to stop mourning the death of useless grants and face the brutal biological and statistical realities of human intelligence.
The Cognitive Enhancement Myth
Every few years, a new savior emerges in the cognitive science space. In the 1990s, it was the "Mozart Effect"—the absurd idea that playing classical music to infants would yield a generation of Ivy League graduates. Later, it was working memory training and "brain-training" apps, a multi-billion-dollar industry built on the premise that playing specific digital games would increase your fluid intelligence.
I have spent years analyzing behavioral tech pipelines and looking at data from these initiatives. The pattern is always identical. A small, underpowered study shows a slight statistical bump in a specific task. The researchers claim a victory. Then, the heavy hitters step in.
When independent labs attempt to replicate these findings with proper controls, the effect vanishes. Charles Spearman identified the general intelligence factor, or g, back in 1904. It represents the underlying mental energy that powers all cognitive tasks. What modern grant-seekers refuse to admit is that g is stubbornly, ruthlessly resistant to short-term interventions.
If you practice a working memory game, you do not get smarter. You just get better at playing that specific game. Psychologists call this the difference between "near transfer" and "far transfer."
- Near Transfer: You practice memorizing grids of lights. You get 20% faster at memorizing grids of lights.
- Far Transfer: You practice memorizing grids of lights, and suddenly your organic chemistry grade improves, your financial decision-making sharpens, and you learn Mandarin faster.
Far transfer is the holy grail of intelligence research. It is also a ghost. It does not happen. Decades of data, including massive meta-analyses by researchers like Giovanni Sala and Fernand Gobet, demonstrate that cognitive training programs fail to produce generalized intelligence gains. Funding yet another study to find far transfer is like funding another expedition to find El Dorado.
The Heritability Elephant in the Room
To understand why these grants fail, you have to look at behavioral genetics, a field that academic sentimentalists love to ignore because its findings do not fit on an inspirational poster.
Robert Plomin, a pioneer in behavioral genetics and author of Blueprint: How DNA Makes Us Who We Are, has shown through twin and adoption studies that up to 80% of the variance in human intelligence in adulthood is attributable to genetic factors. More controversially, but deeply backed by data, this heritability actually increases as we age. When you are a child, your environment (your parents, your school, your neighborhood) accounts for a decent chunk of your cognitive variance. By the time you are an adult, you drift back to your genetic baseline.
This is the inconvenient truth that kills the ROI of public funding:
[Early Childhood Environment] ---> Temporary Cognitive Bump
|
v
[Adulthood Matrix] --------------> Regression to Genetic Baseline
Am I saying environment does not matter? Of course not. Extreme deprivation, severe malnutrition, and lead poisoning will absolutely destroy a brain’s potential. But in developed nations, where public grants are being spent, we are not talking about curing severe deprivation. We are talking about marginal interventions for populations that already have access to basic nutrition and schooling.
When a researcher asks for $5 million to study a new classroom intervention designed to permanently boost IQ, they are fighting against an 80% genetic headwind. The taxpayer is being asked to fund a microscopic lever to move an immovable mountain.
The Opportunity Cost of Emotional Science
Defenders of these defunct grants argue that even if the chances of success are slim, the payoff of a smarter society is so massive that we should fund every proposal that crosses the desk. This is a classic economic fallacy that ignores opportunity cost.
Every dollar funneled into a highly speculative, historically bankrupt line of cognitive training research is a dollar stripped away from fields that actually yield tangible human benefits. Consider what that same grant money could do if reallocated to objective, hard-science initiatives:
- Nutritional Security: Funding targeted iron and iodine supplementation in developing regions. Correcting these deficiencies has a proven, permanent, and massive impact on neurodevelopment, far outweighing any software-based cognitive intervention.
- Infrastructure and Environmental Cleanup: Removing legacy lead pipes from older cities. Lead exposure actively degrades cognitive capacity. Mitigating an existing negative environmental factor is a guaranteed win; trying to engineer a superhuman positive factor is a gamble.
- Genomics and CRISPR Research: If we are serious about addressing the biological constraints of human cognition, the answers will not come from a psychology lab with a stack of flashcards. They will come from molecular biology and functional genomics.
The downside to this contrarian view is obvious: it feels cold. It forces us to accept that humans are not blank slates that can be infinitely optimized by well-meaning academics. But clinging to a comforting lie does not make the lie productive.
Dismantling the "People Also Ask" Delusions
If you look at what people actually ask about this topic, you see a collective desperation for a quick fix. The questions themselves are built on flawed premises that need to be dismantled.
Can you permanently increase your IQ as an adult?
No. You can optimize your current biological ceiling through sleep, exercise, and stress management, but you cannot fundamentally alter your baseline processing power. Think of your brain like a computer processor. You can close background applications (reducing stress) to make it run smoother, but you cannot upgrade a Core i3 to a Core i9 by changing the wallpaper.
Why do governments stop funding promising scientific research?
Because it is rarely "promising." It is usually a continuation of a 20-year-old methodology that has yielded nothing but borderline p-values and unreplicable journal articles. Governments have portfolios to manage. When a sector consistently delivers zero return on investment, a responsible steward cuts the loss and moves capital to high-yield fields.
Does education increase intelligence?
Education increases knowledge and crystallized intelligence (facts, skills, and vocabulary). It does not increase fluid intelligence (the ability to solve novel problems independent of acquired knowledge). Education is vital for economic utility and cultural literacy, but it is a mechanism for utilizing your brain, not changing its raw physical capacity.
Stop Trying to Fix Minds; Build Better Scaffolding
The obsession with making people "smarter" through academic intervention is a form of elite hubris. It assumes that the only way to improve the human condition is to force everyone’s internal CPU to run faster.
Instead of blowing millions on flawed research to alter human biology, the market has already figured out the actual solution: building better external tools.
We do not need to spend fifty years trying to marginally boost someone's working memory capacity when we have pocket-sized supercomputers that can store, retrieve, and cross-reference the entirety of human knowledge instantly. The future of human productivity lies in cognitive scaffolding—creating systems, software, and tools that allow people of any cognitive baseline to perform at elite levels.
When a grant gets cut for a study promising to unlock human intelligence, do not weep for the researcher. Do not write an op-ed about the death of progress. Recognize it for what it is: a system finally waking up to the fact that it has been buying snake oil, and deciding it is time to invest in things that actually work.
