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IQ 148: how rare is it — and can it even be measured?

An IQ of 148 is in the Highly Gifted band (145+), 3.2 standard deviations above the mean — about 1 in 1,500. Before anything else about a score this high, one thing needs saying plainly: numbers out here are produced by extending a mathematical curve past the point where anyone was actually measured. That does not make 148 meaningless, but it does change what kind of claim it is.

Updated
Classification
Highly Gifted
Percentile
99.9th
Scores higher than
99.9% of people
Rarity
about 1 in 1,500
vs. average (100)
+48 points
Realistic range
144152

Key takeaways

  • An IQ of 148 is in the Highly Gifted range (145+) — 3.2 standard deviations above the mean.
  • It is about 1 in 1,500, a figure predicted by the normal model rather than counted.
  • Standardisation samples contain almost nobody above about 145, so scores here are extrapolations.
557085100115130145You · 148
IQ distribution (mean 100, SD 15). 68% of people score between 85 and 115.

Scores this high are extrapolated, not measured

A test is normed by giving it to a representative standardisation sample — typically around two to two and a half thousand people for a major clinical battery — and recording how that sample performed. Every reported score is a position within that observed distribution. The problem at 148 is arithmetic: if a score is about 1 in 1,500, then a sample of two thousand people would be expected to contain one or two people at that level.

So the norms up here are not observations. They are the normal curve, fitted to the middle of the distribution where the data is, and then extended outward on the assumption that it keeps the same shape. That assumption is untested precisely where it is being relied on, and there is no strong reason to believe real ability distributions stay perfectly normal in the extreme tails. A reported 148 is best read as "beyond the range this test can resolve", with the specific number carrying much more uncertainty than its two or three digits imply.

This is not a criticism of the tests. It is a limit built into what norming can do, and the responsible way to read a score out here is as a wide band rather than a point.

What "1 in 1,500" actually means here

The rarity figure attached to 148 — about 1 in 1,500 — is a prediction from the model, not a count of people. Nobody has tested enough of the population to verify it. When the denominator is larger than the standardisation sample, as it is here, the statement "about 1 in 1,500" is a statement about the curve rather than about anybody who was measured.

The practical reading is directional: 148 indicates ability far enough out that the test cannot place it precisely, and comparisons between two such scores are not informative. "One in 1,500" is a reasonable way to convey extreme rarity and a bad way to rank individuals.

148 is the first score whose rarity exceeds the roll of a large school

A score of 148 or above is predicted at roughly one person in fifteen hundred. Large secondary schools run to about that size — which makes 148 the point where the expected number of people at your level, in the largest institution most people ever belong to, falls to about one.

That is a useful way to feel the scale changing, and also a warning. Once the denominator exceeds the size of the groups anyone actually samples, the figure is a property of the fitted curve rather than a count. Nobody has verified how many people score 148 or above, because verifying it would require testing a population far larger than any standardisation sample.

Past every conventional threshold

148 is well above the two thresholds people usually ask about. The gifted line sits at 130 — a figure adopted because it is a round two standard deviations above the mean and because Mensa's 98th-percentile rule needed a number written into it, not because anything changes in the distribution there. Tests normed with a 16-point standard deviation put the same percentile at 132. Both are administrative cut-offs, and 148 clears them by a wide margin.

The popular 140 "genius" figure is looser still: it survives from Lewis Terman's 1920s studies, published as Genetic Studies of Genius, and appears in no current classification system. Clearing these lines by 18 points is worth less than it sounds, because none of the lines mark real boundaries.

Why 144 and 152 are effectively the same score

Measurement error does not shrink as scores rise — it grows, because there are fewer items and fewer norming subjects supporting each point. A reported 148 on a short test is consistent with a true value anywhere across roughly 144 to 152, and probably wider than that out here.

Which means the difference between 144 and 152 is noise, not information. If you have two results in this range from different tests, the gap between them tells you about the tests, not about a change in ability. Any argument that depends on a few points at this level is an argument about rounding.

What a high-ceiling assessment actually involves

If a score of 148 needs to be resolved rather than merely noted, the route is a supervised assessment on an instrument with enough headroom — administered individually, across one or two sessions, by a psychologist qualified to use it. What comes back is not a better single number but a subtest profile with confidence intervals, an account of the test conditions, and an explicit statement of what the instrument can and cannot distinguish at that level. That is the form programme placements and research criteria accept, and the only form in which a figure this far out means anything operationally.

Extended norms and high-ceiling tests

Some publishers do provide extended norms that report scores above a test's standard ceiling. These are derived statistically — by modelling item difficulty and projecting the scale upward — rather than from people who actually scored there, so they extend the reach of the reporting scale without adding observations at the top. They are useful for distinguishing "very far out" from "extremely far out" in research and in gifted-programme placement, and they are not precise individual measurements.

Historically, purpose-built high-ceiling instruments were used for the same job; the older Stanford–Binet forms had more headroom than most modern batteries, which is one reason very high figures quoted from decades ago are not comparable with scores from tests in use now.

What the number is still good for

A reported 148 does carry information. It tells you a test ran out of headroom before it ran out of you, which is a real and unusual finding, and it is enough to justify a supervised assessment on a battery with more ceiling if there is a decision resting on it — a placement, an acceleration, a research inclusion criterion.

What it does not support is treating the specific figure as a rank. The honest summary of 148 is "far out in the tail, further than this instrument can resolve" — and the subtest profile, with its own confidence intervals, is more informative than the composite in every practical respect.

At the highly gifted level the composite tells you less than the shape behind it. A Cognitive DNA breakdown of a 148 usually shows several strands in the exceptional band, but it also exposes where measurement is shakiest: the further into the tail a score sits, the wider the confidence range on each strand. Reading the profile, not the point, is the responsible approach here.

Where 148 sits on the IQ scale

IQ score ranges, classifications and approximate share of the population
IQ RangeClassification% of People
≤69Extremely Low~2.2%
70–79Borderline~6.7%
80–89Low Average~16.1%
90–109Average~50%
110–119High Average~16.1%
120–129Superior~6.7%
130–144Gifted~2.1%
145+Highly Gifted~0.1%

Frequently asked questions

Is an IQ of 148 good?+

The honest answer is that the question stops being well-posed this far out. 148 is about 1 in 1,500 on the model, which is exceptional by any standard — but the figure is extrapolated rather than measured, so it supports “far into the tail” and not a precise ranking against anyone else at a similar level.

Can an IQ of 148 be measured accurately?+

Not to the precision the number implies. Standardisation samples run to a couple of thousand people, and a score that is about 1 in 1,500 would be expected to appear once or twice at most. The norms up here are the normal curve extended past the observed data, so 148 reliably indicates extreme rarity while the exact figure carries large uncertainty — more so on a short, unsupervised test.

Is an IQ of 148 genius level?+

By the popular convention, which puts "genius" somewhere around 140, 148 is past it. But no classification system in current use contains a genius category; the term survives from Terman's 1920s studies and functions as journalism rather than measurement. What can be said accurately is that 148 is 3.2 standard deviations above the mean and about 1 in 1,500.

How many people have an IQ of 148?+

The normal model predicts about 1 in 1,500 — roughly 7 in every 10,000. Treat that as an extrapolation rather than a headcount: the denominator exceeds the size of the samples the norms were built from, so it describes the shape of the fitted curve rather than a verified frequency in the population.

How many people would score 148 or above in a large school?+

About one, on the model's prediction — a score of 148 is roughly one in fifteen hundred, which is close to the roll of a large secondary school. Treat that as an extrapolation from the curve rather than a verified count.

How accurate is an IQ of 148 from an online test?+

Less accurate than scores near the average. The further into the tail a score sits, the fewer people there are to norm against, so precision drops. A 148 reliably indicates exceptionally rare ability, but the exact number carries real uncertainty, especially without supervision.

Continue reading

Sources

The figures on this page are computed from the standard mean-100, SD-15 model. The interpretation draws on these psychometric references:

  1. 1.Riverside Insights — Stanford–Binet Intelligence Scales.
  2. 2.Pearson — Wechsler Adult Intelligence Scale, Fifth Edition (WAIS-5), 2024.
  3. 3.American Educational Research Association, American Psychological Association, & National Council on Measurement in Education (2014). Standards for Educational and Psychological Testing.
  4. 4.Terman, L. M. (1925). Genetic Studies of Genius, Vol. 1. Stanford University Press.
  5. 5.Warne, R. T. (2020). In the Know: Debunking 35 Myths About Human Intelligence. Cambridge University Press.

Organization links point to official sites; academic works are cited in full. See our research standards and editorial team.

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