The Blank Spots on the Map: Why Cooking, Gardening, and Art Have Almost No Science Behind Them
Open any evidence-based health guide and you will find hundreds of citations for sleep, exercise, meditation, and nutrition supplements. Search for rigorous experimental research on how to become a better cook, how to develop as a visual artist, or what gardening practices actually improve yield for a home grower — and you will find almost nothing.
This is not an accident. It is a structural feature of how scientific research funding and publication incentives work. And it has practical consequences for anyone trying to systematically improve at these practices.
Where the Research Deserts Are
The imbalance is stark when you look at it directly.
Cooking has almost no controlled experimental literature from the perspective of skill development. There is food science — the chemistry of the Maillard reaction, the physics of emulsification, the microbiology of fermentation. But how do you actually get better at cooking? What practice structures work? Which skills transfer? How long does it take to develop reliable knife technique, or the ability to season by taste rather than measurement? The academic literature on this is essentially empty. Cookbooks exist, culinary schools exist, but controlled experiments on cooking skill acquisition do not.
Gardening is similar. Horticultural research exists — optimizing crop yields for commercial agriculture, studying pest resistance in specific cultivars, measuring the effects of different soil amendments on commercial production. But this research is conducted at scale, on commercial varieties, optimized for industrial outputs. The question a home gardener actually faces — what practices will make my specific beds in my specific climate produce better results — has almost no systematic experimental literature behind it. The gardening advice that circulates is mostly folk wisdom, regional tradition, and anecdote.
Visual art, music, and craft have some literature on motor skill acquisition and deliberate practice, but almost nothing on the specific methods that develop artistic judgment, style, or the capacity for creative problem-solving. The research on musical skill development is better than most, but still thin relative to the depth of the practice. Research on drawing, painting, sculpture, or ceramics as skill domains is sparse.
Social and interpersonal skills — how to become a better listener, a more effective communicator in conflict, a more engaging conversationalist — are studied in psychology labs under conditions so artificial they barely resemble real interactions. The translation from lab findings to actual practice is murky.
Why the Literature Is Thin
Several structural factors explain why some domains have rich research bases and others do not.
Funding follows clinical and economic outcomes. Medical research is funded because it can be tied to health outcomes and eventually to treatments that generate revenue. Agricultural research is funded because it can be tied to crop yields and food security. Lifestyle interventions are funded when they can be connected to disease prevention. Cooking skill, artistic development, and gardening practice do not generate this kind of downstream economic return, so they attract almost no systematic research funding.
Publication incentives favor controlled conditions. Academic research is published in peer-reviewed journals that favor experimental control, statistical significance, and generalizable findings. Cooking, gardening, and artistic practice are highly context-dependent — what works depends on your specific kitchen, your specific climate, your specific aesthetic goals. This makes it difficult to design studies that will produce generalizable results that reviewers will find publishable.
The skills are hard to measure. Research requires outcome measures, and the outcomes that matter in cooking, gardening, and art are difficult to operationalize. "Better tasting food," "more beautiful garden," "more expressive painting" are not easily quantified. Research on sleep can measure sleep efficiency, cognitive performance, and inflammatory markers. Research on cooking skill development would need to measure... what, exactly? The absence of obvious metrics drives researchers toward domains where measurement is easier.
What This Means for Personal Practice
The practical implication is that if you want to improve at these practices, you are largely on your own — in a good sense.
For sleep, there are well-validated protocols you can follow. The evidence base is strong enough that evidence-based recommendations exist and have been tested. For cooking, there is no equivalent. You are not applying a validated protocol — you are figuring it out.
This puts a premium on systematic personal experimentation. The absence of population-level research does not mean nothing can be learned. It means the learning has to happen through direct experience, carefully observed.
The principles of good experimentation still apply: change one variable at a time, observe outcomes consistently, resist the temptation to attribute causation to coincidence, run long enough to see patterns. For cooking, this might mean keeping a cooking journal that tracks what changed and what the results were — not as a hobby but as a deliberate learning record. For gardening, it means treating each season as a dataset and the garden as an ongoing experiment rather than a fixed practice.
There is something freeing about this. In well-researched domains, you are often just implementing what studies have found. In blank-spot domains, you get to generate your own knowledge — and the knowledge you generate, while local and personal, is yours in a way that no population study can be. You are not reading about what worked for the average participant. You are discovering what works for you.
The Hidden Upside
The blank spots on the map are also opportunities. The fact that cooking, gardening, and art lack rigorous research means that anyone who approaches them systematically — who actually tracks what they try, controls their variables, and observes outcomes carefully — is doing something that almost no one else does.
Most cooks never systematically vary one ingredient or technique to see what changes. Most gardeners never run a controlled comparison between methods in adjacent beds of the same size, with everything else held constant. Most artists never study their own learning curve — tracking which exercises improved which aspects of their work, and what plateaued regardless of practice.
Bringing experimental discipline to these blank-spot domains does not require academic training or expensive equipment. It requires curiosity, a habit of observation, and the patience to actually test things rather than just assuming.
The domains with the thinnest literature may have the most to discover.