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Character

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Leading

Politics

28 October 2024

2 min read

What would you give up to be Prime Minister?

There’s a cost to public service.

James Sampson-Foster

James is training to be a priest in the Church of England.

A smartly dressed politician talks while being interviewed

Prime Minister Keir Starmer responds to the gifts story.

Keir Starmer’s Labour Government recently celebrated 100 days in office.

I say celebrated – I expect there hasn’t been much celebrating.

For one, it’s not much of a milestone - though admittedly it is one that hasn’t been cleared by all of the Prime Minister’s recent predecessors.

But in truth, in those 100 days, there hasn’t been much cause to celebrate.

Sure, there was the biggest Labour majority since 1997, with the keys to Downing Street falling into Starmer’s lap wrapped up in a bow.

But the shine wore off fast, and the honeymoon period is well and truly over.

If the keys to Number 10 arrived for Labour like a gift, it’s perhaps some poetry that it is the recent scandal about gifts which has contributed to the rapid tarnishing of Labour’s 2024 election winner’s crown.

Clothes worth thousands of pounds. Concert tickets. VIP boxes for football games.

The gifts of wealthy donors to a party whose election narrative was to make a reset in the standards of integrity in public life.

What has been remarkable in the middle of this scandal has been the absence of any apology.

Some gifts may have been handed back – but not all. At the time of writing, out of the £100,000 worth of gifts and free tickets he has received, the Prime Minister has generously agreed to hand back £6,000.

Instead of a fulsome apology, some gifts, like those VIP tickets to football games, have been defended.

Why?

Well, the line has been that it makes good sense for the Prime Minister to accept them.

The Prime Minister has said that ‘As a result of security, I can’t go in the stand anymore’ going on to say that the tickets mean that ‘I can continue to do something which is really special to me’.

With the risk of upsetting all the Arsenal season ticket holders in the room – I’m going to say something unpopular.

Maybe going to see the football is just something you have to give up when you become Prime Minister.

At the heart of leadership is sacrifice.

Perhaps we, and the Labour party, have lost sight of that.

To serve others, leaders are called to give up their comforts, their self-interests and their control over their own lives.

As public servants, our leaders should remember the example of the Public Servant who laid down all he had to give his life as a ransom for all.

It is in the example of the Public Servant that our ‘reset’ in the standards of public life must begin.

It is a high standard, but it’s the only standard worth following.

Article

Comment

Conspiracy theory

Death & life

29 August 2024

4 min read

A Bayesian theory of death

The sinking of the superyacht displays the probability, and banality, of death.

George Pitcher

George is a visiting fellow at the London School of Economics and an Anglican priest.

Rescue workers look at the plan of a yacht.

The search for the Bayesian.

Vigili del Fuoco.

On any statistical calculation, the probability of dying by drowning when your luxury yacht suddenly and inexplicably sinks at anchor in the Mediterranean has to be extremely low.

So it’s the cruellest of ironies that tech tycoon Mike Lynch should so die, along with his daughter and five others, having devoted his commercial life to the application of such statistical probabilities. He had named his yacht Bayesian after the 18th-century theorem that introduced the idea that probability expresses a degree of belief in an event.

That doesn’t expressly mean religious belief. But, intriguingly, it doesn’t exclude it either. According to Thomas Bayes, who published his theorem in 1763, the calculable degree of belief may be based on prior knowledge about an event, such as the results of previous experiments, or on personal beliefs about it.

In essence, you don’t believe your yacht will capsize in the night and sink in seconds, because your experience tells you so. That belief can mathematically be included in the probability of it happening.

We can transfer the method into religious praxis. Christian belief in the event of resurrection, for instance, can be calculated in the probability that the deaths of the Lynches and others aboard the Bayesian are not the end of their existence.

It’s an intriguing legacy of Lynch’s work for theologians. But it’s the sheer lack of probability of the lethal event occurring at all that lends it its random banality. It’s that death visited those asleep on a yacht in the small hours that lends this news story such tireless legs, not just that these were super-rich masters and mistresses of the universe.

There have been bitter observations on social media that the Bayesian’s victims have commanded limitlessly greater attention than the many thousands of refugees who die in small-boat crossings of the Mediterranean every year.

This is a category mistake. And again, Bayesian theory can be deployed. Experience supports our belief that crossing the sea in overcrowded and unseaworthy vessels can all too often lead to tragically terminal events. The probability of death is plain. Again, it’s the sheer randomness of the Bayesian yacht event that sets it apart.

If death can visit at any time, there can be no difference in the valuation of long or short lives.

That randomness brings us back to the banality of sudden death among us, almost its ordinariness, something that just happens, often entirely out of the blue. The prayer book has the funeral words “in the midst of life we are in death”, meaning that death is our constant living companion. But that doesn’t quite cut it for me, because it tells us it’s there, but nothing of its true significance.

The tenets of Christian faith are regularly said to be those of a death cult; that it’s a deep-seated fear of death that leads us to avoid it with assurances of eternal life. But it’s the sheer banality of death, as displayed in the randomness of the Bayesian event, that seems to knock down that idea. In its randomness, death looks ridiculous rather than evil.

Conspiracy theories around the sinking of the Bayesian are a kind of denial of the reality of death too. We want there to be more to it than the utterly banal.

Author Hannah Arendt coined the phrase “the banality of evil” when covering the trial of Nazi holocaust architect Adolf Eichmann in Jerusalem. I’d want to suggest that it’s that same banality, that basic human ordinariness, that is the real nature of the supposed grim reaper, rather than his evil.

None of this can comfort the Lynch family, who mourn the loss of a much-loved father and his young daughter, or the families of the others who lost their lives on the Bayesian. But it is meant to go some way towards an explanation of what we mean in Christian theology when we bandy about phrases such as “the defeat of death”. Because it’s not a wicked serpent that’s been defeated, more of a pointless clown.

There is something especially painful about the death of the young, such as that of 18-year-old Hannah Lynch on the Bayesian that night, a young woman on the threshold of life. And – God knows – the even younger lives we’ve read about being taken lately.

But the concept of banality may lead us to another tenet of faith: The completeness of every life. If death can visit at any time, there can be no difference in the valuation of long or short lives.

A poem, often ascribed to a former dean of St Paul’s cathedral, begins with the line: “Death is nothing at all.” That’s wrong, as an idea. Death is as significant an event as birth. But its defeat is in keeping it in its place.

The dignity in simplicity with which football manager Sven-Göran Eriksson greeted his final illness is a masterclass in this tactic for life. Death isn’t to be negotiated, it’s just there.

In the end, death isn’t a Bayesian probability, it’s a certainty, for all of us. The difference, in Bayesian theory, must be the belief we bring to our personal calculations of the probability of the event.