Review
Culture
Football
Sport
5 min read

Shootout: what penalties say about life

Football is a global language and the shootout is the end to Shakespearian tragedy.

Simon is Bishop of Tonbridge in the Diocese of Rochester. He writes regularly round social, cultural and political issues.

A footballer takes a penalty kick.
England v Columbia: 2018 World Cup shootout.

It is hard to pity entitled, overpaid footballers.  Until, that is, it comes down to penalties after extra time.  Even when you do not care who wins, the drama of the penalty shootout is so intense and all-consuming that every heart rate quickens. 

Is there a more exquisite form of sporting torture? 

Sport is laden with cliché, and the refrain, ‘it’s come down to the lottery of penalties’ is an established part of the lexicon.  But is it just the spin of the roulette?  That you can’t prepare effectively for the cauldron of the stadium?  

Not according to Geir Jordet, it isn’t.  The Norwegian Professor of Psychology and Football is on a mission to convince the world there is lots you can do to get ready and those that don’t are more likely to fail. 

There is skill involved in taking a penalty, an ability that can be honed with practice.  Individual players can be trained to take their time (but not too long), to establish a routine that helps them take control of the situation, to take careful breaths, and to focus.  They can be helped with blocking out the trash talk of opponents, especially goalkeepers, who subtly try to get under their skin in the seconds leading up to a penalty.  Extensive research can be carried out by data-rich backroom staff to help with preparation.  And behind all this is the recognition that taking a penalty is a team effort, not an individual one.   

This latter observation feels especially counter intuitive.  There is nothing more lonely than the appearance of one man or woman taking the long walk from the centre circle to the penalty spot.  But teams can support one another with words of encouragement and touch.  Not just in the grasping of each other’s shoulders in the centre circle, but in reaching out to those who both score and miss.  One reason Geir Jordet advises that the manager should choose penalty takers rather than look for volunteers is that they then can take full responsibility for the outcome.  It is hard to believe there are still times when a manager looks around at players after extra time, hoping to see in the eyes who is up to the task.  These duties should be sorted out in advance, with back-up plans for when players are injured or substituted.

Deciding war between opposing tribes based on an individual contest was quite common in the ancient world – effectively moving to the penalty shootout before the game, to save the effort.

Jordet, in his stimulating book Pressure: Lessons From The Psychology Of The Penalty Shoot Out says that anxiety is normal and should be embraced.  Greater openness round mental wellbeing is allowing the modern professional to admit this.  Erling Haarland, one of the world’s most accomplished goal scorers, has shared the fear he regularly feels round taking a penalty; it is hard to imagine a player from the 1970s saying the same. 

Missing a penalty in the shootout is inevitable; the only way it can conclude.  And statistics show that the world’s greatest players, like Lionel Messi, are not notably better at converting penalties than others.  On average, the best players have around an eighty percent success rate (which, significantly, is one missed penalty out of five in a shootout).  As in other professions, the best results are achieved by creating systems and cultures that can adapt quickly and honestly to errors and learn from them without humiliating those who fail. 

Reading the book cast my mind back to the archetypal shootout between David and Goliath.  Deciding war between opposing tribes based on an individual contest was quite common in the ancient world – effectively moving to the penalty shootout before the game, to save the effort.  Perhaps David should have lost it, and not just because of his size.  Beforehand, he had a serious bust up with his side and those who did not see him as a team player.  Then Goliath trash talked him like Emi Martinez is famed for with Aston Villa and Argentina.  And finally, he ran up to take his shot very quickly, without much reflection.  But then again, Geir Jordet would be the first to point out that preparing badly for a contest does not mean you can’t win it – just that you are less likely to. 

Football is a global language and the penalty shootout is like the cataclysmic end to a Shakespearian tragedy.  English fans are long suffering audiences of this trauma – from Italia 90 to Wembley 2021, via the 1996 Euros when football was coming home until a last minute wrong turning.  But many other nations have under-achieved at penalties, like Holland and Spain and, more recently, France.  Roberto Baggio of Italy missed the decisive penalty in the first World Cup Final to go to penalties in 1994.  He says of it:  

‘I failed that time.  Period.  And it affected me for years.  It was the worst moment of my career.  I still dream about it.’.   

The personal stakes are as high, if not higher, than the nation’s.   

We are left with the feeling that hugely divergent outcomes can emerge from the smallest and most random of causes.  The human tendency is then to rationalise the outcome in ways that make it seem inevitable.  Geir Jordet is aware of this in football, but in other walks of life, we continue to build up wobbly cases on shallow evidence as a way of warding off anxiety or the fear that others will think we are clueless if we admit to the existence of chance.  Most people are right less than eighty percent of the time; something we might hold in mind when the next England players make that solitary walk to the penalty spot.  

Article
AI
Attention
Culture
5 min read

Will AI’s attentions amplify or suffocate us?

Keeping attention on the right things has always been a problem.

Mark is a research mathematician who writes on ethics, human identity and the nature of intelligence.

A cute-looking robot with big eyes stares up at the viewer.
Robots - always cuter than AI.
Alex Knight on Unsplash.

Taking inspiration from human attention has made AI vastly more powerful. Can this focus our minds on why attention really matters? 

Artificial intelligence has been developing at a dizzying rate. Chatbots like ChatGPT and Copilot can automate everyday tasks and can effortlessly summarise information. Photorealistic images and videos can be generated from a couple of words and medical AI promises to revolutionise both drug discovery and healthcare. The technology (or at least the hype around it) gives an impression of boundless acceleration. 

So far, 2025 has been the year AI has become a real big-ticket political item. The new Trump administration has promised half a trillion dollars for AI infrastructure and UK prime minister Keir Starmer plans to ‘turbocharge’ AI in the UK. Predictions of our future with this new technology range from doom-laden apocalypse to techno-utopian superabundance. The only certainty is that it will lead to dramatic personal and social change. 

This technological impact feels even more dramatic given the relative simplicity of its components. Huge volumes of text, image and videos are converted into vast arrays of numbers. These grids are then pushed through repeated processes of addition, multiplication and comparison. As more data is fed into this process, the numbers (or weights) in the system are updated and the AI ‘learns’ from the data. With enough data, meaningful relationships between words are internalised and the model becomes capable of generating useful answers to questions. 

So why have these algorithms become so much more powerful over the past few years? One major driver has been to take inspiration from human attention. An ‘attention mechanism’ allows very distant parts of texts or images to be associated together. This means that when processing a passage of conversation in a novel, the system is able to take cues on the mood of the characters from earlier in the chapter. This ability to attend to the broader context of the text has allowed the success of the current wave of ‘large language models’ or ‘generative AI’. In fact, these models with the technical name ‘Transformer’ were developed by removing other features and concentrating only on the attention mechanisms. This was first published in the memorably named ‘Attention is All You Need’ paper written by scientists working at Google in 2017. 

If you’re wondering whether this machine replication of human attention has much to do with the real thing, you might be right to be sceptical. That said, this attention-imitating technology has profound effects on how we attend to the world. On the one hand, it has shown the ability to focus and amplify our attention, but on the other, to distract and suffocate it. 

Attention is a moral act, directed towards care for others.

A radiologist acts with professional care for her patients. Armed with a lifetime of knowledge and expertise, she diligently checks scans for evidence of malignant tumours. Using new AI tools can amplify her expertise and attention. These can automatically detect suspicious patterns in the image including very fine detail that a human eye could miss. These additional pairs of eyes can free her professional attention to other aspects of the scan or other aspects of the job. 

Meanwhile, a government acts with obligations to keep its spending down. It decides to automate welfare claim handling using a “state of the art” AI system. The system flags more claimants as being overpaid than the human employees used to. The politicians and senior bureaucrats congratulate themselves on the system’s efficiency and they resolve to extend it to other types of payments. Meanwhile, hundreds of thousands are being forced to pay non-existent debts. With echoes of the British Post Office Horizon Scandal, the 2017-2020 the Australian Robo-debt scandal was due to flaws in the algorithm used to calculate the debts. To have a properly functioning welfare safety net, there needs to be public scrutiny, and a misplaced deference to machines and algorithms suffocated the attention that was needed.   

These examples illustrate the interplay between AI and our attention, but they also show that human attention has a broader meaning than just being the efficient channelling of information. In both cases, attention is a moral act, directed towards care for others. There are many other ways algorithms interact with our attention – how social media is optimised to keep us scrolling, how chatbots are being touted as a solution to loneliness among the elderly, but also how translation apps help break language barriers. 

Algorithms are not the first thing to get in the way of our attention, and keeping our attention on the right things has always been a problem. One of the best stories about attention and noticing other people is Jesus’ parable of the Good Samaritan. A man lies badly beaten on the side of the road after a robbery. Several respectable people walk past without attending to the man. A stranger stops. His people and the injured man’s people are bitter enemies. Despite this, he generously attends to the wounded stranger. He risks the danger of stopping – perhaps the injured man will attack him? He then tends the man’s wounds and uses his money to pay for an indefinite stay in a hotel. 

This is the true model of attention. Risky, loving “noticing” which is action as much as intellect. A model of attention better than even the best neuroscientist or programmer could come up with, one modelled by God himself. In this story, the stranger, the Good Samaritan, is Jesus, and we all sit wounded and in need of attention. 

But not only this, we are born to imitate the Good Samaritan’s attention to others. Just as we can receive God’s love, we can also attend to the needs of others. This mirrors our relationship to artificial intelligence, just as our AI toys are conduits of our attention, we can be conduits of God’s perfect loving attention. This is what our attention is really for, and if we remember this while being prudent about the dangers of technology, then we might succeed in elevating our attention-inspired tools to make AI an amplifier of real attention. 

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