Article
Culture
Politics
Psychology
5 min read

To troll or be trolled?

Laughing at others conceals a terror of being laughed at ourselves.
Donald Trump gestures with his hands while someone holds a mic in front of him,

Politics and satire belong together, they deserve each other. Humour has been part of politics ever since the first jester dared jingle a bell in the face of a king. Those who get their kicks from bursting the bubbles of the pompous are drawn to the corridors of power like moths to a flame. But in recent weeks laughter has hit the headlines again. A couple of weeks ago, when Democratic presidential candidate Kamela Harris chose her running mate Tim Walz, the only thing most of us knew about him was that he was the one who had called Trump ‘weird’. A few minutes of furious googling later we knew much more, but the suspicion lingered that he had been picked for having finally answered the question that had plagued the Democrats for nearly a decade: how do you deal with Donald Trump? 

As a psychologist who works with leaders I have been asked this question numerous times. How do you go up against someone with the magnificent trolling skills of Trump? Is it possible to win against a person so adept at humiliating those who oppose him? And I think Walz is on to something. He hasn’t called Trump a threat to democracy or labelled his supporters a basket of deplorables. No. He has called Trump weird, and his supporters good dinner guests. Why is Trump weird? Because, says Walz, he has never seen him laugh. 

Trump is not the only one accused of being humourless. Our own former Prime Minister, Liz Truss, was equally unamused at becoming the butt of the joke, when a banner reading ‘I Crashed the Economy’ next to a googly eyed lettuce quietly descended behind her during an onstage interview. She left the stage abruptly and was quick to respond on X that what had happened was not funny. Most people thought it was funny and that she – like Trump – was slightly weird not to laugh it off, at least a little bit. As the political prankster Noël Godin once said: there is no better way to judge a person’s character than by how they behave when hit by a custard pie. 

We spend our lives subtly and unconsciously evading the slightest whiff of humiliation. 

There is however a deep psychology behind all this hilarity, or lack of it. For decades now psychologists have conducted numerous studies on the phenomenon of Gelotophobia. Not the fear of ice-cream, as one might initially think. Gelotophobes you’ll be pleased to know are perfectly capable of holding it together in the presence of a knickerbocker glory. What they fear is being laughed at, and as always this sounds infinitely more sophisticated translated into Greek (gelos/laughter, phobos/fear). Much of the gelotophobia literature is a heartbreaking tale of young people crippled by the fear that others will laugh at their weight, or their acne, or target them for bullying. Sticks and stones may break our bones, but mocking words it seems can leave us socially terrified for the remainder of our adult life. In its most debilitating forms gelotophobia is a cause for clinical intervention.  

But the study of gelotophobia goes further than treating the clinically distressed. Lurking among the samples and statistics is a wisdom that helps us understand why Trump and Truss are the people they are, and more importantly teaches us something about ourselves. Because most of us in some mild sub-clinical way are gelotophobes. We spend our lives subtly and unconsciously evading the slightest whiff of humiliation.  Margaret Atwood was no doubt right to say that men are afraid that women will laugh at them, and women are afraid that men will kill them. But many people would rather die than be laughed at. 

Could it be that our love of laughing at others conceals a terror of being laughed at ourselves? 

One of the primary findings about gelotophobia, is that those who are most scared of being laughed at are also scared to laugh. To say of Trump or Truss that they lack humour is equally to say that the last thing on earth they want is to be the object of laughter. Most gelotophobes were once victimised, ostracised or bullied, and humour was the chief instrument of their humiliation. They were forged by the cruel conditioning of mockery. As a result, they view laughter-eliciting situations negatively. In facial coding studies they show less joy and more contempt when presented with smiling joyful people. The inner freedom to join others in laughter has been quashed by the suspicion that the laughter of others is a threat. Some compensate for this by making sure they always have the upper-hand, always the troll never the trolled. Which speaks to another finding, more applicable to Trump than to Truss, that derisive humour is the way narcissists conceal their vulnerability. Behind every grandiose expression of superiority, lies a shame and inferiority that can be defended by attacking others. 

Gelotophobia ultimately is a subtype of our fear of being disliked, and if the bestseller lists are anything to go by, this is clearly a pressing concern for many people. Fumitake Koga and Ichiro Kishmi brought the wisdom of Japan to the question in The Courage to be Disliked, and Ryan Holiday did the same from a Stoic perspective in Courage is Calling. How to live in a world that shapes us through the threat of ridicule has been pondered for thousands of years. It even turns up in the New Testament of the Bible. When the disciples of Jesus stepped out to deliver their first public discourses, they were accused of being drunk, stupid and presumptuous. The word used to describe them in the historical sources is parrēsia, usually translated bold, but perhaps more accurately rendered the freedom to say anything (pas- all; rheō- to utter). For them freedom of speech was not a societal given but a virtue they enacted in spite of their society. 

In the ancient world the term parrēsia was more often used to describe the counter-cultural courage of the Stoic philosophers. But the disciples were not Stoics. They weren’t schooled in the rigours of Greek philosophy, but rather apprenticed to the Hebrew prophetic tradition. A tradition which equally appreciated the inevitable opprobrium befalling those who presume to critique and rejuvenate a stale culture. They were simply following the teaching of the master who pointed to ridicule, scorn and gossip not as PR disasters to be managed, but as prophetic honours to be celebrated. Or, as Marty Babcock once claimed, ‘Jesus promised his disciples only three things: they would be absurdly happy, entirely fearless, and always in trouble.’  

We should be cautious then laughing too much at the embarrassments that befall our political class, and perhaps more attentive to what our schadenfreude might point to within us. Could it be that our love of laughing at others conceals a terror of being laughed at ourselves? Even worse, what if vindictively celebrating their misfortunes is itself a symptom of the inner helplessness, inertia and unfreedom we claim to oppose? Or, to give the same question a more positive inflection: what would we be doing or saying differently if we were genuinely and entirely free of the fear of being ridiculed?  

Blessed are those who do not fear the laughter of others for they may change the world. 

Article
AI
Culture
Generosity
Psychology
Virtues
5 min read

AI will never codify the unruly instructions that make us human

The many exceptions to the rules are what make us human.
A desperate man wearing 18th century clothes holds candlesticks
Jean Valjean and the candlesticks, in Les Misérables.

On average, students with surnames beginning in the letters A-E get higher grades than those who come later in the alphabet. Good looking people get more favourable divorce settlements through the courts, and higher payouts for damages. Tall people are more likely to get promoted than their shorter colleagues, and judges give out harsher sentences just before lunch. It is clear that human judgement is problematically biased – sometimes with significant consequences. 

But imagine you were on the receiving end of such treatment, and wanted to appeal your overly harsh sentence, your unfair court settlement or your punitive essay grade: is Artificial Intelligence the answer? Is AI intelligent enough to review the evidence, consider the rules, ignore human vagaries, and issue an impartial, more sophisticated outcome?  

In many cases, the short answer is yes. Conveniently, AI can review 50 CVs, conduct 50 “chatbot” style interviews, and identify which candidates best fit the criteria for promotion. But is the short and convenient answer always what we want? In their recent publication, As If Human: Ethics and Artificial Intelligence, Nigel Shadbolt and Roger Hampson discuss research which shows that, if wrongly condemned to be shot by a military court but given one last appeal, most people would prefer to appeal in person to a human judge than have the facts of their case reviewed by an AI computer. Likewise, terminally ill patients indicate a preference for doctor’s opinions over computer calculations on when to withdraw life sustaining treatment, even though a computer has a higher predictive power to judge when someone’s life might be coming to an end. This preference may seem counterintuitive, but apparently the cold impartiality—and at times, the impenetrability—of machine logic might work for promotions, but fails to satisfy the desire for human dignity when it comes to matters of life and death.  

In addition, Shadbolt and Hampson make the point that AI is actually much less intelligent than many of us tend to think. An AI machine can be instructed to apply certain rules to decision making and can apply those rules even in quite complex situations, but the determination of those rules can only happen in one of two ways: either the rules must be invented or predetermined by whoever programmes the machine, or the rules must be observable to a “Large Language Model” AI when it scrapes the internet to observe common and typical aspects of human behaviour.  

The former option, deciding the rules in advance, is by no means straightforward. Humans abide by a complex web of intersecting ethical codes, often slipping seamlessly between utilitarianism (what achieves the most amount of good for the most amount of people?) virtue ethics (what makes me a good person?) and theological or deontological ideas (what does God or wider society expect me to do?) This complexity, as Shadbolt and Hampson observe, means that: 

“Contemporary intellectual discourse has not even the beginnings of an agreed universal basis for notions of good and evil, or right and wrong.”  

The solution might be option two – to ask AI to do a data scrape of human behaviour and use its superior processing power to determine if there actually is some sort of universal basis to our ethical codes, perhaps one that humanity hasn’t noticed yet. For example, you might instruct a large language model AI to find 1,000,000 instances of a particular pro-social act, such as generous giving, and from that to determine a universal set of rules for what counts as generosity. This is an experiment that has not yet been done, probably because it is unlikely to yield satisfactory results. After all, what is real generosity? Isn’t the truly generous person one who makes a generous gesture even when it is not socially appropriate to do so? The rule of real generosity is that it breaks the rules.  

Generosity is not the only human virtue which defies being codified – mercy falls at exactly the same hurdle. AI can never learn to be merciful, because showing mercy involves breaking a rule without having a different rule or sufficient cause to tell it to do so. Stealing is wrong, this is a rule we almost all learn from childhood. But in the famous opening to Les Misérables, Jean Valjean, a destitute convict, steals some silverware from Bishop Myriel who has provided him with hospitality. Valjean is soon caught by the police and faces a lifetime of imprisonment and forced labour for his crime. Yet the Bishop shows him mercy, falsely informing the police that the silverware was a gift and even adding two further candlesticks to the swag. Stealing is, objectively, still wrong, but the rule is temporarily suspended, or superseded, by the bishop’s wholly unruly act of mercy.   

Teaching his followers one day, Jesus stunned the crowd with a catalogue of unruly instructions. He said, “Give to everyone who asks of you,” and “Love your enemies” and “Do good to those who hate you.” The Gospel writers record that the crowd were amazed, astonished, even panicked! These were rules that challenged many assumptions about the “right” way to live – many of the social and religious “rules” of the day. And Jesus modelled this unruly way of life too – actively healing people on the designated day of rest, dining with social outcasts and having contact with those who had “unclean” illnesses such as leprosy. Overall, the message of Jesus was loud and clear, people matter more than rules.  

AI will never understand this, because to an AI people don’t actually exist, only rules exist. Rules can be programmed in manually or extracted from a data scrape, and one rule can be superseded by another rule, but beyond that a rule can never just be illogically or irrationally broken by a machine. Put more simply, AI can show us in a simplistic way what fairness ought to look like and can protect a judge from being punitive just because they are a bit hungry. There are many positive applications to the use of AI in overcoming humanity’s unconscious and illogical biases. But at the end of the day, only a human can look Jean Valjean in the eye and say, “Here, take these candlesticks too.”   

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