Every once in a while its a win win for all, except the algorithms

Tampon box in disabled loo

Every once in a while I like messing with the algorithms which rule our world. As Cory says in this critical piece, found via Ade,

Machine learning is fundamentally conservative, and it hates change. If you start a text message to your partner with “Hey darling,” the next time you start typing a message to them, “Hey” will beget an autosuggestion of “darling” as the next word, even if this time you are announcing a break-up.

This isn’t a new thing and I have to thank Miles who gave me the idea a long time ago to mess with the algorithms every once in a while.

Every once in a while, when I feel the recommendations are getting pretty good I buy something completely different. For example with Google I’ve done some very strange things, but the impact isn’t so clearly felt as with shopping algorithms.

Recently I bought tampons which were 2 for the price of 1 on Tesco online. I bought them because I wanted to screw up the algorithm but more importantly I wanted to support my female colleagues (extra special shout out to Jasmine) who have been fighting the good fight to provide women & girls with free sanitary products in BBC buildings. As they really should have!

Maybe this is a triple win, one for my colleagues, two for messing up Tesco’s recommendations and three for my pocket? What ever it is, I noticed Tesco recommendation now includes pointers to shampoo products which I certainly don’t need  but makes me laugh the algorithm is so easily manipulated.

Already planning similar on Amazon and Ebay…

Author: Ianforrester

Founder and firestarter of cubicgarden ltd. Emergent technology expert, public service supporter, defender of human scale flourishing, city dweller, European at heart  and social geek event organiser. Captivated by the digital legacy, future of dating, human data interaction, self-hosing, personal data, open-source, house music, neurodiversity thinking, kindness and  collaborative futures for all. Can be found at cubicgarden@mas.to, cubicgarden@twit.social and cubicgarden@blacktwitter.io

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