Steve Mould explained very briefly how he used his wife's contractionsuses contraction data to predict the delivery time of birth of their sonhis child [1]. Unfortunately the details from his presentation are sparse:
They are not very predictable. They're quite spread out, but as time goes on it gets more predictable - it's more bunched up there. And there's a wonderful thing you can do with excel. You can track how that changes as a function of time. Is the standard deviation basically. So I was able to create sort of an envelope of possible contraction lengths and then project that into the future. [...] there is point in the future at which my wife's contractions become perfectly regular and that's at 20:55. And it's my working hypothesis that that is the moment my child will be born [2].
https://www.youtube.com/watch?v=k7q0Y2W0Rn4 Questions:
- How did Steve Mould calculate the lower and upper bound lines? I cannot figure out how to track how predictable the random variable is becoming. Is it just just confidence interval using the last 10 points?
- How does Steve extrapolate the lines and predict?
- How is the intersection of the extrapolated lines calculated?
Does anyone know how he approximated the upper and lower bound lines and how he predicted the intersection?