Algorithmic Blindspots - David Perell

If you go too far off the beaten path of algorithmic consistency, you risk never being heard. You may never get enough cultural momentum to exist in any meaningful way. That is a real problem. But if you're too good at algorithmic optimization, you risk building a large audience without saying anything particularly original or important. Not to men... See more

In a 2017 interview, Ev Williams (the founder of Twitter), said something that has stuck with me since: “the trouble with algorithms, is that it rewards extremes. Say you’re driving down the road and see a car crash. Of course you look. Everyone looks. The internet interprets behavior like this to mean everyone is asking for car crashes, so it trie... See more

The key premise of algorithms is efficiency. Algorithms optimise data for decision-making that we previously did not have before. But humans are not efficient. We are messy and inherently flawed, which makes us human. We value serendipity, community and experiences, which may not be efficient but is impactful.