It's not 'CSE'. It's child rape, says Joanna Gray. Enough with the sterile acronyms that seem designed to conceal the horror. Enough of the "bewitchment of our intelligence by means of language" (Wittgenstein).

As girls gear up to go to university this autumn, boys are dragging their feet, says Joanna Gray. With many university courses now filled with women, are boys self-excluding from this female-dominated world?

People who want to understand teenage boys would be better off watching The Inbetweeners than Adolescence, says Joanna Gray. It captures perfectly the best and worst of adolescent boys in the pre-smartphone age.

Peter Hitchens is right, says Joanna Gray: labelling a child as 'dyslexic' only means they give up trying to read. We think we're helping by giving them 'support' but all we've done is undermined their confidence.

When did our Era of National Demoralisation begin, wonders Joanna Gray. Was it with the smoking ban, or when police ditched smart black for fluorescent yellow, or when doctors stopped making house calls? All of the above.

Joanna Gray says the Gen Zer she was mentoring had an epiphany: "It’s not us who suck; it’s you Gen Xers. No wonder you lot went along with all that trans BS, you'd all lost your bottle." Terrifyingly, he was right.

We're all feeling a little giddy after the inauguration, but let us remember to put not our trust in princes, says Joanna Gray. After all, Thomas More effused at the coronation of Henry VIII, and look what happened to him.

It's tremendous to see 2025 kicking off with more from the Times about the devastating effect of lockdowns on children. But we'll be waiting a long time for genuine mea culpas, says Joanna Gray, for one very simple reason.

"Data is the absolute truth," said Nigel Farage recently. "Oh Nige," says Joanna Gray, "don’t be so gullible." Data is like the kitchen drawer: an incoherent mass of things that seemed useful. What we need are principles.

AI is a misnomer, says Joanna Gray. It's not and will never be 'intelligent'. The fact that human 'super recognisers' are needed to spot the mistakes that AI makes at least 25% of the time should be proof enough.