3 ms·
I could make an nth-order polynomial that selects the correct outcome of the past n elections ... and if I shroud it in enough mystery and red arrows I bet at l
by 342346 6y ago
I could make an nth-order polynomial that selects the correct outcome of the past n elections ... and if I shroud it in enough mystery and red arrows I bet at least a few "news" sites would share it
- manuelisimo 6y agoPlease do! ^_^
- sp332 6y agoAnd with such a high order, the predicted next result would probably be crazy, like -1000 on a scale of 1-10 or something
- formerly_proven 6y ago"With y=0 for Joe Biden, and y=1 for Donald Trump, my model predicts y=154476802108746166441951315019919837485664325669565431700026634898253202035277999"
- ACow_Adonis 6y agoYou just need to then overlay a function that takes the remainder of the prediction / 2. Perfect model fit and a seemingly sensible prediction for next time :P All ready for media consumption :) /data scientist here people. Please don't actually do that.
- phailhaus 6y agoHaha that's not even a problem: you can map the reals to (0, 1), so just do that for whatever number that the model spits out and then multiply by 10. Bam, there's your model that perfectly predicts all of the past presidential elections.
- oh_sigh 6y agoJust make sure you have a model prepared indicating a win for whichever direction the particular news agency leans. CNN gets the Biden-wins model, Foxnews gets the Trump wins model. Democracy Now! gets the Bernie-wins-outta-nowhere model.