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How to Improve Your Abductive Reasoning Skills: The Sherlock Holmes Method

School taught you deductive and inductive reasoning. The third kind, abductive reasoning, is where new ideas come from, and it is the one AI can't do.

Phil McKinney
Phil McKinney
6 min read
AI generated using Midjourney and posssibly other tools

Sherlock Holmes never once used deduction.

Open any of the stories and watch what he actually does. He notices a tan line on a wrist or mud dried on a boot and leaps to the best-fitting explanation. Then he went looking for evidence. Deduction guarantees its conclusions. What Holmes did was guess. He was better at it than everyone around him because he treated guessing as a discipline.

The discipline of guessing is one of the most useful thinking skills nobody ever taught you.

Let's get into it.

... or listen to the podcast.

What Is Abductive Reasoning?

There are three kinds of reasoning. School taught you two of them.

Deduction moves from a general rule to a specific conclusion. For example, all mammals have hearts. Dogs are mammals. So dogs have hearts. If the starting statements are true, the conclusion must be true.

Induction goes the other way, from specific observations to a general pattern. For example, if you see a thousand white swans, you conclude all swans are white. Probably right, but never guaranteed. Europeans believed exactly that until they reached Australia and found black swans. I covered both in an earlier episode on logical reasoning skills.

Abduction is the third kind, the one school skipped, and it runs reasoning backward. You start at the far end, with the result or fact in front of you, then you work back to whatever would explain it. For example, the lawn is wet at six in the morning. You didn't see it rain, and nothing rules out a broken sprinkler. But rain explains it best, so you accept it for now and get on with your day.

Notice that you did that without deciding to. You are running abductive reasoning constantly, on faces and sales numbers and to explain the silence after you finish talking in a meeting. We all leap from evidence to an explanation and then treat the explanation as fact. You already know how to do this. What you don't have is the habit of catching yourself at it and doing it deliberately when it matters.

Now go back to Holmes. In A Study in Scarlet, the first thing he ever does on the page is shake hands with a stranger and say, "You have been in Afghanistan, I perceive." Holmes explains it later. The man had a medical look but a soldier's bearing. His face was dark, but his wrists were fair, so the tan came from somewhere hot. His left arm hung stiffly, so it had been injured. None of those clues proves anything on its own. Holmes asked which single story would cover them all: an army doctor, wounded and sent home from the Afghan war. That is abduction, not deduction, and Conan Doyle used the wrong word for it his entire career.

Why AI Can't Do Abductive Reasoning

Abduction is the only one of the three that creates a new idea. Deduction draws out what was already inside the starting statements, and induction stretches a pattern you already saw. That difference used to be a philosopher's distinction. It matters now because AI has gotten very good at the other two. AI finds patterns in billions of examples and extends them, induction at a scale no human can match. What it cannot reliably do is face a fact that fits no pattern and come up with an explanation worth betting on. That leap is still uniquely human, and the people who make it well are getting more valuable every year.

Meanwhile, abduction as a skill is getting harder to keep, because search engines and chatbots now answer most questions in under a minute, and abduction doesn't work that way. It asks you to live with "probably" for a while, holding an answer you know might be wrong and working anyway.

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How to Improve Your Abductive Reasoning Skills

None of this is a talent you either have or don't have. Watch a good doctor or a talented designer at work, and you will see the same four moves. Each one can be practiced.

1. Notice What Doesn't Fit

In 1847, a Hungarian doctor named Ignaz Semmelweis ran a maternity clinic in Vienna. It had two wards, one staffed by doctors and one by midwives, and in the doctors' ward new mothers were dying of fever at three times the rate. Some women gave birth in the street rather than be admitted, and the street births survived at a better rate.

Everyone was ignoring the numbers. Semmelweis treated the numbers as the question. What could explain the best-trained people in the hospital losing the most patients? His answer came when a colleague cut his finger during an autopsy and died of the same fever. Doctors went from dissecting corpses straight to delivering babies. Midwives never touched corpses. He ordered handwashing in chlorine, and the deaths collapsed decades before anyone had heard of germ theory.

Charles Sanders Peirce, the philosopher who gave the skill its name, built that noticing into his own definition of abduction. The surprising fact is observed, he wrote, and only then does the search for an explanation begin. When something fits what you already believe, we accept it without noticing. Surprise is the alarm that the automatic version has failed. It means the failure that matters happens before any of the reasoning starts. The risk is that you cannot explain a surprise you never see. We have spent years learning to rationalize them away.

When reality does something you didn't predict, write it down before you talk yourself out of it.

2. Generate More Than One Explanation

Last week I told you about the chrome-looking keyboard snafu. An HP laptop was running below plan, and none of the data would say why. Before anybody knew about the keyboard, I asked the product team what they thought was happening.

I got three answers. It needs more memory. It needs a bigger hard drive. It needs longer battery life. Each one arrived with a competitor's machine held up beside ours. That one has more memory. That one has the bigger drive. Every comparison was accurate, and each one had been picked because it supported the answer.

Three explanations sounded like the work was done. All three said the same thing: that we were losing on specifications, which is what the team was already organized to believe. None of the explanations would have sent someone into a store on a Saturday to watch a customer make the purchase decision.

So when you catch a genuine surprise, run it through this sequence instead:

  1. State the surprise in one sentence. "Sales dropped 15% in a quarter when we improved the product." If you can't state it cleanly, you don't yet know what you're explaining.
  2. Force at least three explanations. The third is usually where the thinking starts, because the first two are the ones everybody already believes.
  3. Include one explanation you don't want to be true. If every explanation on your list flatters you and your team, the list isn't finished.
  4. Write down what each explanation would predict. If A is true, what else should you be able to see? That turns a guess into something you can check.

3. Choose the Best Explanation, Not the First One

Philosophers call abduction "inference to the best explanation," and the key word is "best." Best doesn't mean first, and it rarely means the cleverest.

The one you want covers the most facts while assuming the least. Then, before you commit, decide what evidence would make you drop it. A doctor hearing chest pain does this out loud, ruling out the dangerous explanation first even when she expects it to be something ordinary.

4. Hold It Loosely and Test It Cheaply

The best explanation is still a bet, nothing stronger. The moment you forget the word "bet," the skill starts working against you. Many will make a sharp abductive leap, fall in love with it, and then spend six months protecting it instead of testing it.

Designers handle this better than almost anyone. A prototype is an abductive test, the cheapest way to let the world argue with your guess before you commit real money. Whatever your field, find your version of the prototype. Good innovators are wrong as often as everyone else. They just find out sooner, and it costs them less. 

Try This Before Friday

Think of the last thing at work that went differently than you expected. A deal that died, a number that moved the wrong way, a good person who quit. You already have an explanation for it. Notice how fast it came. Somebody asked what happened, and you had an answer before they finished the question, and everyone nodded, because it was reasonable, and reasonable answers end conversations.

Go back to it this week. Not to find out whether you were right, because you were probably close enough. Go back because two other explanations fit those same facts and you never considered either one. Find them, and make one something you would rather not be true.

Then find the smallest test that would tell them apart. A phone call. One question to somebody who was in the room. It is almost never expensive, and that is the part worth sitting with, because it means the answer has been sitting there the whole time and nobody went and got it.

Go For It

Abductive reasoning is how new ideas enter the world, and Holmes made a career of it under the wrong name. The more leaps you make and test, the sharper the next one gets.

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Abductive reasoningabductive thinkingSherlock Holmes deductiondeduction vs inabductioninference to the best explanationthinking skillslogical reasoning skillshow to think bettercritical thinkinginnovation skillsphil mckinneyphilmckinneyStudio SessionsThe Innovators Studio

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Phil McKinney is an innovator, podcaster, author, and speaker. He is the retired CTO of HP. Phil's book, Beyond The Obvious, shares his expertise and lessons learned on innovation and creativity.


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