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We’re unpacking what our algorithms say about us, whether business can cure poverty across the continent of Africa, and why women are so obsessed with true crime as a genre.
Tamanda opens with a late-night spiral about the politics of platform recommendations: what do your YouTube and Instagram feeds reveal about your identity? And are you really who you think you are? Or does the algorithm tell a different story?
Aiiwan follows with a deep dive into African economic development, reflecting on the new Dangote oil refinery in Nigeria and why some argue that business - and not Western aid - is the real key to the continent’s future.
Finally, in our segment, we wrestle with a question sparked through a recent meeting with @Duncan Barber at Audible: What explains the huge gender skew in true crime fandom, and is it possible that watching violent stories helps survivors feel safe?
This episode moves through algorithm data, development, and the darkest corners of the entertainment industry - with rambling side steps into South London in the '80s, postcolonial theory, YouTube survivalists and off-grid dwellers, and Netflix serial killers. It's warm, strange, expansive and surprising… just how we like it!
In this episode:
- What our Instagram and YouTube algorithms say about race, gender, queerness… and, well, all of us…!
- Why YouTube thinks Aiwan is a right-wing white man and Tamanda is a Jamaican Muslim Black womanist weight-watcher!
- The story behind Nigeria’s first oil refinery, and what it could mean for African economic independence and sovereignty.
- Can business cure poverty? Is trade inherently capitalist? And what does feminist economics say in response?
- The gender politics of true crime obsession, and why trauma survivors might feel “seen” by serial killer stories.
- Shoutouts to Magatte Wade, Ha-Joon Chang, Walter Rodney, Duncan Hamilton at Audible, Michael Berhane at POCIT and…. the Betrayal podcast. (…Yup! We really put them all in the same bullet point! And the same episode!)
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