Publishing has always prized intuition. There's something romantic about the idea that great publishing decisions come from instinct. But what do we really mean when we cite its importance, and is it always enough to rely on intuition? The key insight from decades of research (Kahneman, Tversky, Klein, and others) is that intuition works brilliantly in some environments and fails spectacularly in others.

The Fast, The Slow & The Not So Slow

Intuition is compressed experience — the brain's ability to recognise patterns quickly, without conscious deliberation.

This is the 'fast' in Kahneman's bestseller Thinking Fast and Slow. System 1 thinking is automatic, pattern-based. It's the chess grandmaster who sees the right move instantly, the publishers who can 'feel' a hit.

System 2 thinking is 'slow', analytical, structured — the thinking we associate with data analysis, forecasting, and structured reasoning. Only this sort of thinking has recently become much, much faster, widely available and relatively cheap.

When Intuition Works

Gary Klein studied experts in high-stakes fields — firefighters, military commanders, and intensive care nurses. He found that experienced professionals often don't weigh options analytically. They recognise patterns, mentally simulate a response, and act.

This kind of expert intuition develops well in environments where:

• Feedback is rapid — you find out quickly whether you were right or wrong

• Patterns repeat — the same situations recur, allowing learning

• Causality is clear — you can connect actions to outcomes

In these conditions, intuition becomes a significant skill. It's pattern recognition honed through thousands of repetitions with immediate feedback.

When Intuition Fails

In publishing, the feedback loop can be long and the signal noisy. Patterns can be hard for humans to isolate. And the sample size for any individual decision-maker is often small.

When an editor acquires a book, it can take months or years to find out if the decision was the right one. And was the outcome due to the book itself, the cover, the metadata, the marketing spend, the timing, the algorithm, a spot on tv, or luck?

These are precisely the conditions where intuition struggles — and where, as Kahneman put it, the mind sees patterns in noise.

Research shows that in such environments, mechanical prediction often beats human judgement. Statistical models outperform experts in hiring decisions, medical prognoses, credit risk assessment, and many other domains. Not because the models are brilliant, but because of the nature of the information and feedback loops involved.

Publishing

Publishing sits awkwardly between art and commerce, intuition and analysis. The creative judgement that identifies a distinctive voice or an original idea is genuinely hard to systematise. But much of what happens after that — pricing, positioning, metadata, marketing, channel strategy — is operational, learnable and optimisable.

Publishing loves its own version of survivor stories. The book that everyone rejected became a phenomenon. The editor who defied the data and was vindicated. These stories are memorable precisely because they're rare — but they shape how we think about decision-making. A career can be built on a few acquisitions, a rich spell of rainmaking. We tend not to focus on the dry spells.

The Integration Opportunity

The best decisions combine intuition and analysis in structured ways.

Data narrows the field. Intuition selects among viable options. Structured review checks for bias.

In practice, this might look like:

• Using data for diagnosis — understanding what's actually happening in your market, your backlist, your category performance

• Using intuition for synthesis — interpreting the data, spotting the opportunity, making the creative leap

• Building feedback loops — tracking decisions and outcomes so that intuition can improve over time

The point isn't to replace editorial instinct with algorithms. It's to give instinct better material to work with — and to know when instinct is likely to mislead.

Calibrating Yourself

One of the most consistent findings in decision science is that most people overestimate their intuitive accuracy. We remember the hits, forget the misses, and construct narratives that make our past decisions seem wiser than they were.

High-performing decision-makers actively work against this. They:

• Keep decision journals

• Conduct pre-mortems ("imagine this fails — why?")

• Seek disconfirming evidence

• Track predictions against outcomes

These mechanisms create a feedback loop between instinct and evidence. They turn intuition from a fixed trait into a skill that can be developed.

Publishers are not athletes

Intuition is valuable. Experience matters. The editor who has read thousands of manuscripts, watched hundreds of books succeed or fail, developed relationships with readers, reviewers and booksellers — that person knows things that don't fit in a spreadsheet.

But the conditions that make intuition reliable — fast feedback, repeating patterns, clear causality — are mostly absent in publishing. The lag is too long. There are too many variables. The noise is too loud.

That doesn't mean intuition is useless. It means intuition needs support. Data to calibrate it. Structure to test it. Feedback to improve it.

The publishers who thrive won't be the ones who abandon instinct for algorithms, or the ones who trust their gut and hope for the best. They'll be the ones who learn to hold both — and know when to lean on each.