“Spent about 43 minutes confusing big data.”
Q: Hey, what’s that supposed to mean?
A: As we all know, every click we make, every breath we take, is being watched over by information-hungry entities, such as Google, Facebook, Amazon that proceed to save the data collected and subsequently send their salivating algorithm dogs after them to analyze the hell out of these zillions of discrete items of information in order to obtain something that is useful, i.e. that can be monetized. We’ve all seen how it works! You search for mierda on Giggle and notice that commercial advertisements attempting to sell the same shit appear soon thereafter. You go on YouTube and play some music by artist XYZ. Next time you visit, YouTube wants you to play the same again, supplemented by other suggestions some algorithm has come up with. Why, when you look at a peeler on Amazon, some algorithm they use is quick to let you know just a few inches below that people who bought peelers also bought peeler pouches, peeler sharpeners, peeler glue and peeler storage shelves! This is called enhancing the user experience.
Q: Enough ranting about some of my favorite corporations and sites! I still don’t see where this is going.
A: To try and confuse big data, I will, for example, give likes, hearts or whatever is offered to widely diverse items in the consumer and social networks world. Hopefully this will confuse the sniffing big data dogs to some extent. If enough people do that, the companies buying big data results might eventually realize that these results are not the ultimate wisdom out there. Perhaps they’ll sink their misguided dollars into something more worthwhile eventually.
Q: Not gonna happen. Big data is mighty! The algorithms are smart and get smarter every fraction of a second.
A: That may be true. But there’ll always be a David for every Goliath. Sooner or later.
Q: Hey, what’s that supposed to mean?
A: As we all know, every click we make, every breath we take, is being watched over by information-hungry entities, such as Google, Facebook, Amazon that proceed to save the data collected and subsequently send their salivating algorithm dogs after them to analyze the hell out of these zillions of discrete items of information in order to obtain something that is useful, i.e. that can be monetized. We’ve all seen how it works! You search for mierda on Giggle and notice that commercial advertisements attempting to sell the same shit appear soon thereafter. You go on YouTube and play some music by artist XYZ. Next time you visit, YouTube wants you to play the same again, supplemented by other suggestions some algorithm has come up with. Why, when you look at a peeler on Amazon, some algorithm they use is quick to let you know just a few inches below that people who bought peelers also bought peeler pouches, peeler sharpeners, peeler glue and peeler storage shelves! This is called enhancing the user experience.
Q: Enough ranting about some of my favorite corporations and sites! I still don’t see where this is going.
A: To try and confuse big data, I will, for example, give likes, hearts or whatever is offered to widely diverse items in the consumer and social networks world. Hopefully this will confuse the sniffing big data dogs to some extent. If enough people do that, the companies buying big data results might eventually realize that these results are not the ultimate wisdom out there. Perhaps they’ll sink their misguided dollars into something more worthwhile eventually.
Q: Not gonna happen. Big data is mighty! The algorithms are smart and get smarter every fraction of a second.
A: That may be true. But there’ll always be a David for every Goliath. Sooner or later.
