My latest from Woroni - the audience I had in mind was me as an undergraduate.
Too often as students we fervently debate questions as
though they were strictly theoretical or normative when in fact they are
empirical in nature. We can also be sceptical of the ability of empirical
techniques to provide strong answers to some types of questions and dismissive
of people who ask for data. This is unfortunate as it leads many of us to hold on
to incorrect views for ideological reasons when a little research would reveal
them to be invalidated by the evidence.
But surely this claim is not accessible to empirical
scrutiny? Comments about culture and sexuality can’t be reduced to numbers!
Well, maybe they can, at least in this case. A feasible study would involve
rounding up a suitably large and diverse sample of consumers of pornography and
asking them some questions. For example: “when using pornography, are you
interested in the model’s personality and biography, or just his/her body?”
A few hundred respondents later and you would have some
pretty compelling data one way or the other. A longer, richer survey could
yield more detailed information that might lead to more insightful observations
than just yes/no answers; for instance, regarding the pornographic preferences
of lesbians.
Now when you’re discussing the latest controversy over a
goon sack on a Thursday night you can’t go running off to conduct an expansive
survey. But often you don’t have to – Google can point you in the direction of
reputable studies on a wide range of topics in seconds, especially Google
scholar.
For example, a friend recently suggested the US has low
corporate tax level. A two minute search of OECD records via google reveals
that the US actually has some of the world’s highest corporate tax, at around
40 per cent (though loopholes are plentiful).
There are times when anecdotes are more convincing than
statistics, and more powerful in a casual discussion because of their ability
to articulate larger ideas than the pinpoint questions typically answered by
empirics. For example, one of the more convincing arguments in favour of
liberalism over socialism is this one offered by Niall Ferguson. After the War,
the homogeneous German people were split into two groups. The liberal capitalist
group produced the class leading Mercedes Benz; the socialist group produced
the Trabant, which can accurately be described as a shit box. Reams of data
would be needed to make a similarly compelling argument using statistics.
Similarly, some valuable theoretical treatises would be
ill served by the inclusion of statistics. Foucault’s discourse theory, for
example, would just be diluted by the inclusion of data without gaining much in
the way of veracity or articulation.
Disraeli’s quote also bears mentioning: “there are three
kinds of lies: lies, damned lies and statistics”. Statistics can be deceptive.
Some examples include misleading survey questions, not reporting the standard
error, not including relevant variables in a regression and selecting a very
biased sample.
So statistics are imperfect, but something worth keeping in
mind. Importantly, empirical data, alongside the historical record and the
rules of math and logic can be said to constitute ‘facts’. In our student years
we spend our energy forming opinions. The most strongly held opinions are those
that survive fierce discussion. But what make a discussion not only fierce but
also rigorous are its factual foundations. Everyone is entitled to their own
opinion, but not their own facts. And when the facts change, we seem silly if
we don’t change our mind.
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