A few weeks ago I attended a UCU conference in London on the future of UK higher education which had one or two interesting speakers. The most interesting for me was Andrew McGettigan, an academic who studies the economics and ideology of government education policy in depth. He explained that because the current system of financing universities is unsustainable (70% of the student loan book will never be repaid) government ideologues are planning to introduce differential support to universities for educating students in different subjects, which will depend on the expected “added value” to the student of their degree, as measured by increase in expected lifetime earnings. Quite how this would be determined without the projections being hopelessly out of date is not apparent. The idea would be to encourage the production by universities of “valuable” citizens who will be in a position to repay the cost of their education, since it is expected that universities will naturally try to maximise their income. So on this model we can expect a big expansion of law, medicine, and accountancy departments and the virtual disappearance of nursing, history, and the arts. I suspect pure mathematics might not do too well either.
I found a very interesting paper of McGettigan in which he explains the background to this part of his talk in detail.
See also the remarkable table at Fig. 12, frame 19, of the slides from McGettigan’s UCU talk which details the expected lifetime financial benefit of a first degree in various subjects. I reproduce the table here:
Glossary of terms which students are expected to know and be able to use […]
Association: A tendency for two events to occur together.
Correlation: An association between two variables which is approximately linear.
This definition of correlation seems rather odd. If $latex y = x^2$ aren’t $latex x$ and $latex y$ correlated? What does “an association” mean here? The suggested definition of association given above is for events, not “variables”. Presumably the authors have in mind random variables.
There is a serious problem here in the use of language. It needs to be made clear whether the notion being described is an intuitive one or a mathematical definition. I am not a statistician, but it seems to me that there are (at least) three common distinct types of usage of the word “correlation”, none of which is captured by the “definition” proposed:
(1) The vernacular usage. The Merriam-Webster dictionary gives
“a relation existing between phenomena or things or between mathematical or statistical variables which tend to vary, be associated, or occur together in a way not expected on the basis of chance alone”
which seems to me a reasonable description of the vernacular or intuitive non-mathematical meaning of the term. This is clearly much broader than the meaning suggested above.
(2) The intended meaning proposed seems to correspond closest to the use of the (Pearson) correlation coefficient in statistics, although even then it is not accurate, since the correlation coefficient is not always a reliable indicator of the existence of a linear relationship. This meaning is that which tends to be used by a large class of people who have had some minimal exposure to statistics.
(3) More generally correlation can be used to indicate a variety of mathematical measures of probabilistic interdependence (e.g. mutual information).
On a separate point the very heavy concentration on statistical reasoning to the exclusion of other mathematics (including perhaps more elementary logical reasoning such as manipulation of quantifiers and logical connectives) rather worries me, since it may encourage the idea that almost the only practical applications of mathematics are statistical.
Another serious danger in my opinion is that statistics at this level tends to be more like cookery than mathematics and it would have to be extremely well taught by a gifted and highly educated teacher if conceptual precision is not going to be completely lost. The danger is partially raised by Gowers in Objection 5 listed in his blog (though he doesn’t mention cookery), but I think his own answer is rather optimistic.
Somewhat in this connection there is an interesting passage in Noam Chomsky on Where Artificial Intelligence Went Wrong where Noam Chomsky is interviewed on various topics concerning science, in particular AI and cognitive science, and what he clearly regards as a modern deviation from the classical scientific method, which has been indirectly caused by the power of modern computers . The article is quite long, but I found his example of “how to justify the abolition of physics departments” very nice; it could equally well used to justify closing down everything in mathematics departments except statistics.