Blame lets you blow off steam, but it will rarely help you get at the truth

The reasons why people love to blame are simple enough: they’re seeking an outlet for their frustrations, and they want to feel in control. But how good is blame at actually helping us to understand situations, to determine causes and effects? In this RSA Short, the US author and professor Brené Brown reveals how blame has an ‘inverse relationship with accountability’, and ends up corroding relationships, stymying personal growth, and obscuring the truth in a way that dramatically hinders real problem-solving.

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A magical mystery trip through the complex connections in women’s bodies

‘Girls are weird. Babies are weird. Bodies are extra weird,’ says the Spanish animator Ana Pérez López. In Las del Diente, she uses excerpts from candid conversations with three women as a canvas for a refreshingly honest and unapologetic meditation on modern womanhood. The anecdotes are enriched with hallucinatory animated sequences and percussive interludes, transforming their conversations about social pressure and biological anomalies into a surreal celebration of being female, in all its multitudes – from having your body treated like a business to contending with deeply conflicted feelings about having children.

‘Where is it that we are?’ A poet conjures a journey along the waters of the afterlife

The short film The River evocatively adapts the US spoken-word poet Anis Mojgani’s performance of ‘To Where the Trees Grow Tall’ from his book In the Pockets of Small Gods (2018). Mojgani invokes a surreal scene of confusion, mystery and casual conversations between newly deceased strangers in a piece that envisions its listeners in their coffins, ‘clanging down the river, with all the other coffins in the water of the next world’. The US filmmaker Kristian Melom pairs this performance with split-screen images of the poet navigating a cityscape and a journey down a serenely flowing river. Through Mojgani’s words and Melom’s images, death – like life – is rendered as at once mundane and deeply enigmatic.

Before ‘government cheese’ was a punchline, it was an experimental economic plan

Today, the term ‘government cheese’ is perhaps most commonly associated with the late US comedian Chris Farley and his 1993 Saturday Night Live sketch in which a motivational speaker warns a couple of wayward teens that, if they don’t get their act together, they’ll soon be ‘living in a van down by the river’ on a steady diet of the stuff. But before it became well-worn comedy fodder, the dairy surplus was the result of a 1977 US government initiative to support farmers and assure the country’s control of its own food supply. However, as this charming (or irritating, depending on your lactose tolerance) cheese-filled explainer from NPR’s Planet Money details, the whole endeavour went a bit haywire. And although the ‘government cheese’ programme effectively ended in the 1990s, its legacy has left the US a bit milk-bloated ever since.

Why artificial neural networks have a long way to go before they can ‘see’ like us

Artificial neural networks were created to imitate processes in our brains, and in many respects – such as performing the quick, complex calculations necessary to win strategic games such as chess and Go – they’ve already surpassed us. But if you’ve ever clicked through a CAPTCHA test online to prove you’re human, you know that our visual cortex still reigns supreme over its artificial imitators (for now, at least). So if schooling world chess champions has become a breeze, what’s so hard about, say, positively identifying a handwritten ‘9’? This explainer from the US YouTuber Grant Sanderson, who creates maths videos under the moniker 3Blue1Brown, works from a program designed to identify handwritten variations of each of the 10 Arabic numerals (0-9) to detail the basics of how artificial neural networks operate. It’s a handy crash-course – and one that will almost certainly make you appreciate the extraordinary amount of work your brain does to accomplish what might seem like simple tasks.