Showing posts with label differences. Show all posts
Showing posts with label differences. Show all posts

Thursday, April 12, 2018

National IQs - from "Hive Mind"

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This is a reference post. The data below is taken from the "Data Appendix" in "Hive Mind" by Garett Jones, which I reviewed here. Click on the images below to make larger.




"Notes: The middle column reports the Rindermann, Sailer, Thompson cognitive ability (CA) scores estimated from the international tests the PISA, the TIMSS, and the PIRLS. The right-hand column reports national average IQ as estimated by Lynn and Meisenberg.

The table only reports data for countries where both estimates are available. Both estimates include data of varying quality; in particular, developing country estimates may be based on small samples or limited numbers of tests and should be treated with caution.

This is a problem that also arises when measuring GDP per person in developing countries, as Morten Jerven's book Poor Numbers documents. Sources: Rindermann, Sailer, and Thompson, "The Impact of Smart Fractions" and Lynn and Meisenberg, "National IQs Calculated." See also Jervens, Poor Numbers. "
The main take-home lesson is that countries differ quite markedly in their average IQ, pretty much as you would expect given their economic and political success or lack of it. Not forgetting that countries are people, not inert geography.

The scores are misleading for countries which are highly stratified ethnically such as Israel, many countries in Latin America and the USA (to some extent). India (not shown) with its castes and jatis is problematic - the concept of national IQ doesn't really apply there at all.

China's average national IQ is generally estimated to be 105, aligned with Taiwan and Japan above.

Tuesday, May 17, 2016

How unfair is access to university education?

The Times today has a leader, "First-Degree Burn", where they state:
"With notable exceptions, Britain’s universities are still not doing enough to attract poor students. English 18-year-olds from the most advantaged 20 per cent of backgrounds are still more than six times more likely to attend a top university than those from the least advantaged 20 per cent.

"Jo Johnson, the universities’ minister, calls this unacceptable and he is right."
In fact he is quite wrong.

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Suppose 'advantage' is normally distributed in the UK population (it is not - more later) and suppose it correlates pretty well with IQ (which seems more reasonable).

Then the top 20% would have a mean IQ of 121 and their children (regressing to the mean) an average IQ of 117. *

The bottom 20% would be a symmetrical story, the left side of the bell curve. Their mean IQ would be 79 and their children's an improving 84 (83.2 but let's round up).

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The Times mentions 'a top university', by which they most likely mean the Russell Group. The IQ needed to get into a Russell Group university is estimated to be 120.
 - Given a population with average IQ of 117, you would expect 42% to be eligible to meet the 120 cut-off.

 - Given a population with an average IQ of 84, you would expect 0.8% to be smart enough to meet the IQ 120 cut-off for the Russell Group.
That's a ratio of 42/0.8 = 52.5 - far worse than the lamentable six to one quoted by The Times.

The problem is with the financial-advantage model. The disadvantage-advantage distribution is far from normal; a small minority are very well off while a very large minority share a lowish level of income which is conventionally described as 'disadvantaged'.

What IQ amongst the 'disadvantaged' would replicate The Times' statistic of six to one?

A 'disadvantaged ' IQ of 98.

A population with an average child's IQ of 98 would have around 7% with an IQ at or above 120 - and thus be eligible to attend a 'top university'.

Since 98 is pretty much the average IQ of the mass of people in the UK, The Times' figures do not surprise me at all - they're exactly what we should expect.

And for that reason, despite any confected outrage or exciting new policies, I don't expect them to alter at all, short of crashing admission standards. **

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* If you're wondering where all these figures came from, we're applying truncation selection ideas which were explained in detail here.



The first part of the calculation goes like this:

Talking about the top 20% of the population for IQ (mean = 100, std. dev. = 15) we have p = 20% = 0.2. This is the area we are 'breeding from', the top 20%.

The mean IQ of this group S = 100 + std. dev. * i(p) = 100 + 15 * 1.4 = 121,

... where we look up i = i(p) = i(0.2) = 1.4  in the table.

Using an IQ heritability of 0.8, the mean children's IQ = R = 100 + 0.8 * 21 = 116.8 = 117,

... reversion to the mean.

A symmetrical calculation give us the story for the bottom 20%

The rest is just putting numbers into the normal distribution.

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** If pushed I'd say that the above analysis makes both the affluent and disadvantaged children too smart. As a reality check, what if we made the mean IQ of the advantaged kids 115 (1 sigma up) and the disadvantaged kids 95 (one third of a sigma down)? That sounds more like it.

Then 40% of the 'rich' kids could get into a Russell Group university, and 5% of the 'poor' kids. That's a ratio of eight to one. And The Times did hint that the ratio was worse than 6:1 ...

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More bad science from The Times.