Using Philosophical and Economic analysis to consider big questions, world issues and matters of everyday life!
Friday, 5 August 2016
The Answer To The So-Called 'Inequality' Problem Is Not More Equality
Tuesday, 2 August 2016
Let's Face It, Human Intelligence Is Boltzmannian As Well As Gaussian
In terms of how intelligence is distributed across
the nation, people often assume a normal distribution - the familiar Gaussian
bell curve of intelligence - because that’s the shape used in IQ scoring. But
that curve is constructed, not discovered. IQ tests are norm‑referenced: the
scoring system forces the results into a bell curve so that 68% fall within one
standard deviation of the mean, 95% within two, and 99.7% within three. That’s
a property of the measurement, not necessarily of the underlying phenomenon.
If instead we look not at measured cognitive ability but at applied intelligence - the extent to which people actually use their cognitive potential - the distribution across the UK seems to me far more skewed. In fact, it resembles something closer to an exponentially decaying curve. Not a literal Boltzmann distribution (which applies to particles in thermal equilibrium), but a curve with the same shape: heavily weighted toward the lower end, with a long, thin tail of high performers.
The analogy is this: if the y‑axis is number of people and the x‑axis is degree of applied intelligence, then very few people sit at the extreme high end, a moderate number occupy the middle, and a very large proportion cluster toward the lower end. Replace particles with people and energy with cognitive engagement, and I think you get a surprisingly good metaphor for everyday experience.
So, for example, on a scale of 1–100, where 1 is very low applied intelligence and 100 represents the most brilliant minds, my experience suggests that the vast majority of the UK population sits below 50, with a very large proportion below 25. Roughly - and these figures may need slight adjustment, but not much - the distribution might look like this:
1–25 (50%)
26–50 (30%)
51–75 (15%)
76–100 (5%)
This is not a bell curve. Compare it to height or weight. Height is approximately Gaussian because most adults fall between 4ft 9 and 6ft 7, with relatively few outliers. Weight is more skewed, but still clusters around a central tendency. Applied intelligence, however, does not seem to follow the same pattern. And although democratic and egalitarian instincts encourage people to believe otherwise, everyday observation suggests a very different landscape.
What makes this even more interesting is that many skewed, exponentially decaying distributions in human behaviour arise from biased random walks. A random walk occurs when outcomes are shaped by many small, independent influences. For example, take nightclub attendance in Norwich city centre in 2016. Suppose there is a group that regularly parties down Prince of Wales Road, averaging to some value n.
Over a month - say July - each member may or may not go out. If someone goes out, that’s a step to the right (+1). If they stay home, that’s a step to the left (-1). Over time, these independent decisions produce something resembling a random walk. But because exogenous factors exist - post‑Christmas fatigue, hot summer weekends, bank holidays, major events - the walk becomes biased. The result is a distribution that may look bell‑shaped but is not perfectly symmetrical.
Applied intelligence behaves similarly. It is influenced by countless factors: motivation, environment, education, culture, opportunity, personality, stress, health, and so on. These influences do not push equally in both directions. They bias the walk toward lower engagement. And unlike height or weight, there is no natural “restoring force” pulling people toward the mean.
This is why applied intelligence ends up looking like a skewed distribution rather than a Gaussian one. Not because intelligence itself obeys thermodynamic laws - it doesn’t, of course - but because human behaviour often follows power‑law or Pareto‑like patterns, where a small minority produce most of the high‑end output. The curve is steep on the left and thin on the right because cognitive engagement is limited, unevenly distributed, and subject to many downward‑pulling influences.
The upshot is, measured intelligence is Gaussian because the scoring system enforces it. But applied intelligence - the degree to which people use their cognitive potential - is not. It is heavily skewed toward the low end, shaped by biased behavioural dynamics, and resembles an exponentially decaying curve far more than a bell curve.
Monday, 1 August 2016
The Three Factions Of The Labour Party & The Sword Of Damocles That Hangs Over Them
Sunday, 31 July 2016
What's The Best Essay Ever Written? Here's My Favourite...
Friday, 29 July 2016
There's Something You Should Know About The Rise Of These Prominent Figures
Thursday, 28 July 2016
On The Nature Of Real Life & Online Friendships
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| A wife is a man's best friend |
Tuesday, 26 July 2016
Compulsory Voting Is A Terrible Idea
Forced voters are also more likely to be the kind of people to vote in people who seduce them with headline-grabbing inflammatory rhetoric, or deliberately vote for an extreme person in protest at being made to go into the polling booth.
Monday, 25 July 2016
Why Do People Get A Proposition When It's Expressed One Way, But Totally Fail To Get The Exact Same Proposition When It's Expressed Another Way?
But that's not right - the cards you need to choose are cards 1 and 4. Here's why. Because the rule is "If P then Q" you need to check card 1 (P) to ensure there's a Q on the back, but you also need to check card 4 (not-Q) to ensure there is 'no' P on the back. If there is a P on the other side of card 4, then the rule "If P then Q" has been disobeyed. Cards 2 and 3 don't need to be touched.
Donald Trump is currently the person most publically misunderstanding it - his daily spouting of economic nonsense concerning America and trade is one of the most disturbing exhibitions of political confusion I think I've ever seen in a Presidential candidate (and that's saying something).
Perhaps rather like the Wason selection tests people can see a proposition clearly if it's expressed one way yet miss completely exactly the same proposition when it is expressed another way.
Friday, 22 July 2016
NHS Shocks & Stocks
By now everyone knows that the future of the NHS is very precarious - thanks to a number of factors (which I blogged about here). But what I didn't know until reading some stats by one of the Adam Smith Institute think tank members is just how much clinical negligence there is, and how shockingly costly it is proving to be. Apparently just in the 2011-2012 financial year alone, the total cost for the NHS in clinical negligence claims exceeded £1 billion, with a further £50+ million in non-medical compensation claims. However much does this add up to if we factored in every year, even for just the past decade? Several billion pounds I'd suggest.
Thursday, 21 July 2016
The Unintended Consequences Of Trying To Help Tenants
Regular readers will know my views on the latter two proposals, (if you're in even the slightest bit of doubt about them you can read my views in the 'Housing' tab to the right), but even the law that says landlords must give a six month notice period before evicting a tenant is not as obviously beneficial as it may first appear.
You may be under the impression that it sounds good because it protects tenants against unexpected short-term evictions. This is true, but on the other side it prohibits landlords from evicting problem tenants in quick time, so it's as broad as it is long.
But it's quite possible that the law makes both parties worse off. Suppose the law of six months' notice is equivalent to a £15 per month loss for landlords and a £7.50 per month cost for tenants (when prices have adjusted to reach their equilibrium). If a landlord has no preference as to whether he has to give six months' notice or pay a £15 per month surcharge on each apartment rented, the supply curve for flats shifts up by £15.
The extra guarantee is worth £7.50 to tenants, but a tenant generally has no preference for paying £450 per month for a flat without six months' security or £457.50 for one with additional guarantee. The demand curve will shift up by £7.50.
Consequently, then, changes in supply and demand curves mean the new price is higher than the old by more than £7.50 but less than £15. Given that this state-enforced guarantee increases landlords' costs more than it increases their rents, and since it increases the rent of the flat by more than it increases the value to the tenant, then both landlords and tenants are worse off.
It's true that there are additional varying factors in the landlord-tenant relationship that could be written about here, but the general point holds - that it is possible for a government interference implemented to protect one party to actually make both parties worse off.
In most cases a free contract between two mutually willing signatories is better than a state-enforced restriction that seeks to act on behalf of one party, because they often end up making both parties worse off. This is because, despite popular opinion, the real quintessence of business is to engender exchanges that maximise both parties' gains in the transaction.

