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An interesting quote about using data to tailor their original content: "And so, using the data to make funding decisions is a different game than using the da
by chillydawg 9y ago
An interesting quote about using data to tailor their original content:
"And so, using the data to make funding decisions is a different game than using the data to tune the story, which we don’t do."
So, he's saying they won't allow data to influence a script once written, but they won't buy or fund that script if it doesn't fit the data. I'm pretty sure two things tend to the same outcome. In ML, you'd be accused of letting the model train on the validation set. Bad stats.
- ryanmonroe 9y agoI think he's just saying they will use data to determine which type of show gets funded, but will not to use it in ways that affect the internal logic of the show. So they may fund a show whose main character often goes to a coffee shop because viewers appear to enjoy that, but they won't change an existing show to make its main character go to a coffee shop because it might not make sense for the character to do that in the context of the given show. And since those involved with the data and funding process will naturally have less understanding of the show's characters than the writers, they won't attempt these changes even when they appear to make sense for a show. Of course, writers could adapt and force things to happen in a show that wouldn't otherwise, but I don't think funding certain types of shows is equivalent to changing existing shows to fit a mold.
- thefreeman 9y agoI mean they still have plenty of data on shows that aren't original content, so I don't think it's really the same as training on the validation set.
- xapata 9y agoHo hum. Statisticians have dealt with endogeneity problems before.