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Illusion of explanatory depth

Illusion of explanatory depth is a science topic covered in the lgStudy science library. This page brings together a partial reference excerpt, illustrations, worked examples, real-world applications and a short study plan, so you can understand Illusion of explanatory depth rather than just read about it. In short: The illusion of explanatory depth (IOED) is cognitive bias or an illusion where people tend to believe they understand a topic better than they actually do. The term was coined by Yale researchers Leonid Rozenblit and Frank Keil in 2002.

Key takeaways

  • Illusion of explanatory depth belongs to science; place it in that map before memorising details.
  • Learn the definition first, then one example that makes the definition concrete.
  • Connect Illusion of explanatory depth to a quantity you can measure, compute or draw — that is where exam questions come from.
  • Reproduce the core statement of Illusion of explanatory depth from memory before moving on to harder problems.

Reference excerpt

The illusion of explanatory depth (IOED) is cognitive bias or an illusion where people tend to believe they understand a topic better than they actually do. The term was coined by Yale researchers Leonid Rozenblit and Frank Keil in 2002. The effect was observed in only one type of knowledge called explanatory knowledge, in this case defined as "knowledge that involves complex causal patterns" (see causal reasoning). The effect has not been observed in procedural, narrative, or factual (descriptive) knowledge. Evidence of the IOED occurring has been found in mental disorders, natural phenomena, folk theories, and politics, with the most studied effect of IOED being in politics in the form of political polarization. The illusion is related to the Dunning–Kruger effect, differing in that the IOED examines explanatory knowledge as opposed to ability. Limited evidence exists suggesting that the effects of the IOED are less significant in subject matter experts, but it is believed to affect almost everyone, compared to the Dunning–Kruger effect which is usually defined to apply only to those of low to moderate competence. The IOED is more significant for historical knowledge, in cases when knowing about the topic is perceived as socially desirable. Another description of the IOED is that "we mistake our familiarity with a situation for an understanding of how it works". IOED has also been suggested to explain the perception that psychology as a field is "simple" or "obvious".

In politics There is evidence to support the theory that the IOED is a contributing factor to increased political polarization in the United States. A 2018 study with participants recruited in the context of the 2016 United States presidential election found that higher levels of IOED about political topics is associated with increased support in conspiracy theories.

Management It is thought that the effects of IOED, especially in politics, can be reduced by asking people to explain the topic rather than only asking people to provide reasons for their beliefs. The specific ways in which people are asked to explain the topic are important, as they may backfire. This was found in research that showed when people are asked to "justify their position", people's beliefs become more extreme. Asking for "reasons" may lead people to strengthen their beliefs by selectively thinking of support for their position, while asking for "explanations" may lead them to confront their lack of knowledge.

Original experiment The term for IOED was coined by Yale researchers Leonid Rozenblit and Frank Keil in 2002. One inspiration for the IOED concept was research in change blindness suggesting at the time that people grossly overestimated their own spatial memory. In the experiment they conducted with 16 Yale undergraduate students, they asked them to rate their understanding of devices and simple items. They were then asked to generate a detailed explanation of how they worked and then rerate their understanding of that item. Consistently, ratings were lower after generating an explanation, suggesting they then began to understand that they lacked understanding of that item after attempting to explain. Rozenblit and Keil concluded that having to explain basic concepts or mechanisms confronts people with the reality that they may not understand the subject as much as they think they do.

See also Agnoiology — Philosophical study of ignorance

References

Worked examples

Example 1 — a first encounter with Illusion of explanatory depth

Start with the simplest possible case. Write down what Illusion of explanatory depth claims or describes in one sentence, then invent the smallest concrete situation in which that sentence is true. In science, the smallest case is usually a single object, a single equation or a single measurement. Check that every symbol or term in your sentence has a meaning in that case.

Example 2 — changing one variable

Take the situation from Example 1 and change exactly one quantity: double it, halve it, or set it to zero. Predict what should happen to Illusion of explanatory depth before you calculate. Comparing your prediction with the result is the fastest way to find out whether you understand the idea or only the words.

Example 3 — an exam-style question

Typical questions about Illusion of explanatory depth ask you to (a) state it precisely, (b) apply it to given data, and (c) explain a limitation. Practise writing all three answers in under five minutes; the third part is what separates a full-mark answer from an average one.

Applications of Illusion of explanatory depth

In research
Illusion of explanatory depth appears in science research whenever the underlying quantities have to be modelled precisely. Papers usually cite it as a starting assumption and then explore where it breaks down.
In technology and industry
Engineering practice reuses Illusion of explanatory depth in design rules, simulations and safety margins. Knowing the idea lets you read a specification sheet and understand why the numbers look the way they do.
In the classroom
Illusion of explanatory depth is common in secondary-school and first-year university syllabi. It links to neighbouring topics Cognitive biases, so understanding it makes those chapters shorter.
In everyday life
Look for Illusion of explanatory depth outside the textbook — in sport, cooking, traffic, electronics or the sky above you. An example you found yourself is remembered far longer than one you were given.
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How to study Illusion of explanatory depth in 20 minutes

  1. Read the reference excerpt below once, without taking notes.
  2. Close the page and write down what Illusion of explanatory depth means in your own words.
  3. Compare your version with the excerpt and mark what you missed.
  4. Work through the three examples above with pen and paper.
  5. Explain Illusion of explanatory depth out loud to somebody else — or to Teacher Smith in the lgStudy chat.

Frequently asked questions

What is Illusion of explanatory depth in simple terms?

The illusion of explanatory depth (IOED) is cognitive bias or an illusion where people tend to believe they understand a topic better than they actually do. The term was coined by Yale researchers Leonid Rozenblit and Frank Keil in 2002.

Why does Illusion of explanatory depth matter?

Because it connects several science ideas at once: it gives you a definition you can apply, a quantity you can calculate, and a way to check whether a result is plausible.

How should I study Illusion of explanatory depth?

Read the excerpt, restate it from memory, then work through the examples and applications listed on this page. The five-step study plan above takes about twenty minutes.

What does this page cover?

It gives you a compact reference excerpt plus original lgStudy explanations, examples, applications and study material on Illusion of explanatory depth.

Tags

  • Cognitive biases

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