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Enough of the Scottish subsidy myth - Scotland pays its way in the Union

Scotland pays its way in the Union - it's time the London commentariat acknowledged that.

The notion that Scottish public services are subsidised by English taxpayers has become so commonplace in UK politics that not even David Dimbleby, the supposedly neutral presenter of BBC Question Time, thinks twice about repeating it. During an exchange on a recent show with Liberal Democrat Jo Swinson about her decision to vote as a Scottish MP to impose tuition fees on English students, Dimbleby said, "You voted for England to have fees, whereas Scotland, as we know, with the amount of money that comes from England, doesn't need to have them."
 
This view is based on the discrepancy between levels of public spending per head of the population in Scotland and England. According to the Treasury's latest Public Expenditure Statistics, Scots gets an average of £10,212 spent on them every year by the UK government, compared with around £8,588 -- £1,624 less -- for people in England.

In line with narrative of the Scottish welfare subsidy, the extra cash allows Scotland to provide its students with free higher education, its elderly with free personal care and concessionary travel, and its sick with free prescription medication, while their English equivalents are forced to go without.
 
This so-called "Union dividend" is also used by many London-based journalists and politicians -- many of whom would describe themselves as social democrats -- who argue that current levels of public expenditure in Scotland would be unsustainable were it to break away and become an independent country.
 
Yet, if the London commentariat took the time to examine the figures a little more closely, they would discover what a large number people north of the border already know: not only does Scotland more than pay its way in the Union, but its overall fiscal position would actually be stronger as a fully sovereign nation.
 
Let's tackle the subsidy charge first. Scots represent 8.4 per cent of the UK's total population, but they generate 9.4 per cent of its annual revenues in tax -- equivalent to £1,000 extra per person. The remaining £624 is easily accounted for by decades of UK government under-spending in Scotland on defence and on other items which are not routinely broken down by region, such as foreign office services.
 
Second, there's the claim that Scotland's "bloated" welfare state could not be sustained outside the Union. This is nonsense. Including its per capita share of revenues from North Sea oil and gas production, Scotland's public expenditure probably does not exceed the OECD average and is almost certainly lower than that of the Scandinavian social democracies. The fact that the Treasury cynically refuses to class those revenues as part of Scotland's overall annual economic output inflates the level of public sector expenditure as a proportion of GDP relative to that of the private sector.
 
Finally, one of the most common -- and least well-considered -- claims made by supporters of the Union is that the 2008 global financial meltdown shattered the economic case for independence. How, they argue, would the economy of tiny, independent Scotland have been able to cope with the burden of debt needed to rescue its financial sector from collapse? It wouldn't, of course, but according to George Walker, professor of financial regulation and policy at the University of Glasgow, Scotland would only have had to take on a proportion of the total cost of the bail-out based on the subsidiaries and business operations of HBOS and RBS in Scotland. This would probably amount to no more than 5 per cent.
 
For the sake of argument, nationalists might also wish to note that Scotland's 2009 - 2010 deficit was, at 6.8 per cent of GDP, a full 3 per cent lower than England's, and that the likely defence expenditure of an independent Scotland would, at around $1.8bn per year in line with Nordic average, be roughly £1bn less than what the UK currently spends on its behalf.
 
But why should Unionists let the economic facts ruin the image they have built up of Scotland as a nation of selfish, indulged welfare "mendicants"?The subsidy myth is too politically useful to be simply abandoned. Of course, if they ever do come to terms with the reality that Scotland could survive on its own - and even prosper - it will probably be too late anyway.

James Maxwell is a Scottish political journalist. He is based between Scotland and London.

OLIVER BURSTON
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How science and statistics are taking over sport

An ongoing challenge for analysts is to disentangle genuine skill from chance events. Some measurements are more useful than others.

In the mid-1990s, statistics undergraduates at Lancaster University were asked to analyse goal-scoring in a hypothetical football match. When Mark Dixon, a researcher in the department, heard about the task, he grew curious. The analysis employed was a bit simplistic, but with a few tweaks it could become a powerful tool. Along with his fellow statistician Stuart Coles, he expanded the methods, and in doing so transformed how researchers – and gamblers – think about football.

The UK has always lagged behind the US when it comes to the mathematical analysis of sport. This is partly because of a lack of publicly available match data, and partly because of the structure of popular sports. A game such as baseball, with its one-on-one contests between pitcher and batter, can be separated into distinct events. Football is far messier, with a jumble of clashes affecting the outcome. It is also relatively low-scoring, in contrast to baseball or basketball – further reducing the number of notable events. Before Dixon and Coles came along, analysts such as Charles Reep had even concluded that “chance dominates the game”, making predictions all but impossible.

Successful prediction is about locating the right degree of abstraction. Strip away too much detail and the analysis becomes unrealistic. Include too many processes and it becomes hard to pin them down without vast amounts of data. The trick is to distil reality into key components: “As simple as possible, but no simpler,” as Einstein put it.

Dixon and Coles did this by focusing on three factors – attacking and defensive ability for each team, plus the fabled “home advantage”. With ever more datasets now available, betting syndicates and sports analytics firms are developing these ideas further, even including individual players in the analysis. This requires access to a great deal of computing power. Betting teams are hiring increasing numbers of science graduates, with statisticians putting together predictive models and computer scientists developing high-speed software.

But it’s not just betters who are turning to statistics. Many of the techniques are also making their way into sports management. Baseball led the way, with quantitative Moneyball tactics taking the Oakland Athletics to the play-offs in 2002 and 2003, but other sports are adopting scientific methods, too. Premier League football teams have gradually built up analytics departments in recent years, and all now employ statisticians. After winning the 2016 Masters, the golfer Danny Willett thanked the new analytics firm 15th Club, an offshoot of the football consultancy 21st Club.

Bringing statistics into sport has many advantages. First, we can test out common folklore. How big, say, is the “home advantage”? According to Ray Stefani, a sports researcher, it depends: rugby union teams, on average, are 25 per cent more likely to win than to lose at home. In NHL ice hockey, this advantage is only 10 per cent. Then there is the notion of “momentum”, often cited by pundits. Can a few good performances give a weaker team the boost it needs to keep winning? From baseball to football, numerous studies suggest it’s unlikely.

Statistical models can also help measure player quality. Teams typically examine past results before buying players, though it is future performances that count. What if a prospective signing had just enjoyed a few lucky games, or been propped up by talented team-mates? An ongoing challenge for analysts is to disentangle genuine skill from chance events. Some measurements are more useful than others. In many sports, scoring goals is subject to a greater degree of randomness than creating shots. When the ice hockey analyst Brian King used this information to identify the players in his local NHL squad who had profited most from sheer luck, he found that these were also the players being awarded new contracts.

Sometimes it’s not clear how a specific skill should be measured. Successful defenders – whether in British or American football – don’t always make a lot of tackles. Instead, they divert attacks by being in the right position. It is difficult to quantify this. When evaluating individual performances, it can be useful to estimate how well a team would have done without a particular player, which can produce surprising results.

The season before Gareth Bale moved from Tottenham Hotspur to Real Madrid for a record £85m in 2013, the sports consultancy Onside Analysis looked at which players were more important to the team: whose absence would cause most disruption? Although Bale was the clear star, it was actually the midfielder Moussa Dembélé who had the greatest impact on results.

As more data is made available, our ability to measure players and their overall performance will improve. Statistical models cannot capture everything. Not only would complete understanding of sport be dull – it would be impossible. Analytics groups know this and often employ experts to keep their models grounded in reality.

There will never be a magic formula that covers all aspects of human behaviour and psychology. However, for the analysts helping teams punch above their weight and the scientific betting syndicates taking on the bookmakers, this is not the aim. Rather, analytics is one more way to get an edge. In sport, as in betting, the best teams don’t get it right every time. But they know how to win more often than their opponents. 

Adam Kucharski is author of The Perfect Bet: How Science and Maths are Taking the Luck Out of Gambling (Profile Books)

This article first appeared in the 28 April 2016 issue of the New Statesman, The new fascism