Somewhere in the back of almost every puzzle app is a quiet claim: keep playing and you will get smarter. Sharper focus, better memory, a mind that ages slower. It is a lovely promise and it sells extremely well. People search for brain games tens of thousands of times a month, and the apps that answer that search have built a billion-dollar industry on the idea that a few minutes of daily training pays off across your whole life.
We run a color game, so you might expect this article to repeat that promise. It will not. The evidence on brain training is some of the more interesting and counterintuitive material in modern psychology, and it deserves an honest reading rather than a sales pitch. The short version is that most brain games do almost nothing for your general intelligence. The longer version contains a real exception, and that exception is the only thing we are comfortable claiming the Color Memory Game actually does.
The one idea that decides everything: transfer
Every argument about brain training comes down to a single word, and if you understand it you can cut through almost any claim you read. The word is transfer. It means: does getting better at the trained task carry over to anything else?
Psychologists split it into two kinds. Near transfer is improvement on tasks that closely resemble the one you practiced. Drill a particular kind of color judgment and get better at very similar color judgments, that is near transfer, and it is common and well documented. Far transfer is the big prize the marketing reaches for: practice a memory game and become better at remembering where you left your keys, following a conversation, or doing your job. Far transfer is the thing that would make brain training worth the subscription, and it is the thing that, study after study, mostly fails to appear.
Hold that distinction in mind, because nearly every disappointing result and every honest exception in this field is really a story about how far the training traveled.
What the large studies found
The cleanest test of the far-transfer promise came in 2010, when a team led by Adrian Owen ran a brain-training experiment through a BBC television program and ended up with more than eleven thousand participants, a sample size most lab studies can only dream of. People trained on reasoning, memory, and attention games for six weeks. They got measurably better at the specific games they practiced. When the researchers tested whether that improvement spread to broader cognitive ability, the benefit was, in their own framing, no greater than you would get from spending the same time browsing the internet (Owen et al., 2010). The games trained the games. Nothing leaked out.
That could have been a one-off, but it was not. In 2016 a group of seventy-some scientists reviewed the entire body of brain-training research and published a consensus assessment. Their conclusion was blunt: there was little evidence that brain games improve everyday cognitive performance, and the strongest-looking results tended to come from the weakest-designed studies (Simons et al., 2016). The same year, the company behind Lumosity, one of the best-known brain-training apps, agreed to a two-million-dollar settlement with the U.S. Federal Trade Commission, which had charged that its advertising preyed on consumer fears about memory loss and dementia using claims it could not support (FTC, 2016).
Working memory training, the specific corner that promised to raise fluid intelligence, has fared no better under scrutiny. A meta-analysis pooling many of those studies found reliable short-term gains on tasks resembling the training and no convincing evidence of far transfer to reasoning or intelligence (Melby-Lervåg, Redick & Hulme, 2016). The pattern is remarkably consistent across the whole literature. You improve at what you rehearse. The improvement stays put.
Why the brain refuses to generalize
It is worth sitting with why this happens, because the reason is more flattering to the brain than the disappointing result suggests. When you practice a task repeatedly, you do not build some general-purpose mental muscle. You build a highly specific, efficient routine for that exact task: its layout, its timing, the particular trick that beats it. Your brain is being ruthlessly economical. It optimizes the thing in front of it and wastes no effort generalizing to situations you have not asked it to handle.
This is the same reason a chess grandmaster is not automatically good at poker, and a person with a phone book of memorized digits is not better at remembering names. Expertise is narrow by default. That narrowness is exactly what makes brain-training claims so seductive and so wrong: the improvement you feel inside the game is completely real, and your intuition naturally assumes it must point at something bigger. It usually does not. Feeling sharper at the game is not evidence of anything beyond the game.
The exception nobody advertises: perceptual learning
Here is where the honest story gets more interesting, because there is one form of training that does reliably stick, and it is not the kind the brain-training apps tend to sell. It is called perceptual learning, and it is the slow improvement of the senses themselves through practice.
Decades of vision research show that people can be trained to make finer perceptual discriminations: to tell apart two textures, two orientations, two slightly different shades that earlier looked identical. These gains are robust, they can last for months, and they show up at a low level of the visual system rather than in some abstract reasoning faculty (Watanabe & Sasaki, 2015). Crucially, perceptual learning behaves like near transfer with the knob turned all the way down. It is often stubbornly specific to the trained dimension, sometimes even to the trained eye or the trained region of the visual field. You are not getting smarter. You are getting a measurably better eye for one particular thing.
Color discrimination is one of those trainable things. The reason professional colorists, print operators, and textile graders can spot a mismatch an untrained person sails right past is not better eyes in the optical sense. It is years of perceptual learning that sharpened the specific judgment they make all day. We wrote about how that adaptation happens, and how to nudge it along, in train your eye for color. The honest scientific claim is small but it is real: repeated, feedback-rich practice at telling colors apart makes you better at telling colors apart.
So where does a color memory game honestly sit?
Let us be precise, because precision is the whole point of writing this. Playing this game will not raise your IQ, will not protect you from cognitive decline, and will not make you better at your taxes. Anyone selling a color game on those terms would be doing exactly what the FTC fined Lumosity for. We are not going to pretend otherwise.
What it plausibly does is narrower and, to us, more interesting. Every round asks you to hold a color in mind and then reproduce it, and every guess is scored by a perceptual color-difference formula, CIEDE2000, that tells you precisely how far off you were in terms a human eye would agree with. That feedback loop, see a color, commit, get a measured result, is the exact structure perceptual-learning studies use to sharpen discrimination. The game is not a brain trainer pretending to be science. It is a color-discrimination drill that happens to be fun, and the one effect we are willing to stand behind, a better eye for small color differences, is the one the research actually supports.
There is a second, more sobering thing it does, which is to show you in real time how poorly color survives the trip into memory. A shade you saw with perfect clarity a moment ago comes back blurred and shifted, and the score quantifies the loss. That is not a flaw in you, it is a well-studied limit of visual working memory that we get into in the science of color memory. No amount of training erases that limit, which is itself a useful antidote to the brain-training fantasy. Some things about your mind are features of the hardware, not bugs to be patched by a daily streak.
How to tell a useful game from an empty promise
You do not need a psychology degree to evaluate the next brain game that markets itself to you. A few honest questions do most of the work.
- What exactly is it claiming? “Improves your color discrimination” is a near-transfer claim and is believable. “Improves your memory” or “makes you smarter” is a far-transfer claim and almost certainly is not.
- Does it give you precise feedback? Learning needs a signal. A game that simply says “correct” teaches less than one that tells you how far off you were and in which direction.
- Is the skill the point, or the proxy? If you genuinely want a sharper eye for color, a color game is the real task, not a stand-in for some vaguer goal. The closer the game is to the thing you actually care about, the more the practice is worth.
- Would you play it anyway? Enjoyment is not nothing. A game you return to because it is satisfying is doing more for you than a “scientifically proven” chore you quit in a week.
The honest case for playing
Strip away the brain-training mythology and a clear, defensible reason to play remains. It is a genuine perceptual skill, scored honestly, that most people have simply never practiced, which is why nearly everyone is worse at it than they expect and improves noticeably once they start. You can feel the discrimination sharpen even as the memory limit stays put, and watching those two things pull in opposite directions is half the fun.
If you want to put any of this to the test, the fairest measure is a cold-start baseline. Take the color memory test once before you have practiced, then come back after a week of the daily challenge or a few runs in solo and look at the numbers. You will not have gotten smarter. You will, quietly and measurably, have gotten better at one specific thing, which is exactly as much as the science promises and a good deal more honest than what most brain games will tell you.