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What Is the Highest IQ That Can Be Measured?

Main individual IQ tests reach 160. A curve estimates how rare higher scores would be, but there are too few people in norm samples above that ceiling to measure or rank individuals there.

How rare high scores are

Standard deviation 15; 1 in N counts people at or above the score. The figures extend the curve; no norming sample reaches this far out, so past about 160 a score is arithmetic, not a measurement.

4070100130160IQ 145
ScorePercentile1 in N
14599.87741
160>99.9932,000
175>99.993.5 million
190>99.991 billion
200>99.9976 billion

Where do individual IQ tests stop?

Main individual IQ tests stop at 160. Their stated full-scale ranges run from 40-160. This is the upper end of the scores those tests cover, not a measure of the limits of human ability.

A result at the top of a test's range can still be interpreted within that range. The IQ 160 page explains what that score means. A number beyond the range does not have the same test-based support, even if it is written with precision.

What does the rarity curve show?

The rarity curve estimates how uncommon high scores would be if the score distribution continued beyond the range covered by tests. It estimates 1 in 741 at or above 145, 1 in 32,000 at or above 160, 1 in 3,500,000 at or above 175, 1 in 1,000,000,000 at or above 190, and 1 in 76,000,000,000 at or above 200.

These figures describe a mathematical model, not people tested and found to have those scores. Each estimate extends the same curve farther beyond the measured range. The IQ standard deviation page explains the scale used to calculate rarity.

Why can’t tests rank people above the ceiling?

Tests cannot rank people reliably above the ceiling because norm samples have too few people at those score levels. A norm sample is the group used to set and interpret a test's scores. To compare individuals at the top end, the sample would need to cover that part of the range.

A curve estimates where a score falls under a model, but it does not supply observed test results. Without enough people in the sample at that level, the test cannot show how one person's result compares with another's. That is why a projected rarity and an individual ranking are different things.

Are claims of 200 or more measured IQ scores?

Claims of 200 or more are not measurements from the main individual tests. Their score ranges end before that point, and the norm samples do not include enough people at those levels to rank individuals there.

A number alone does not show which test supports it or whether that test covers the score. The curve's estimate for 200 describes a hypothetical frequency if the distribution continued. It does not confirm that anyone earned that score on a test normed across that range.

How should you read an extreme IQ number?

To read an extreme IQ number, check which test produced it and whether the test covers that part of the scale. Inside its range, a score compares performance with the test's norm group. Outside it, the test cannot support that comparison.

IQClock's free timed reasoning test does not print an IQ number. It presents reasoning questions; a normed individual test is used to compare results with a norm group. Keep those two kinds of results separate when reading a score or a claim about one.

Questions

What is the maximum IQ on a standard test?

The main individual tests described here have an upper limit of 160. That is the end of their stated full-scale ranges. A number above that limit is not measured by those tests, even if a website presents it as a score.

Can someone have an IQ of 200?

No test can measure a score that high. The curve can estimate how rare such a score would be under an extended distribution, but that estimate is not an individual test result or a ranking.

How rare is an IQ of 160?

The curve estimates 1 in 32,000 at or above 160. This is a model-based estimate of rarity, not a count of people who took a test and received that score.

Why do IQ websites list scores above 160?

A website may extend the rarity curve past the range covered by individual tests. That shows what the model implies if the distribution continues, but it does not establish that anyone was measured or ranked at those levels.