Machine Learning Data Science

I think that's a fascinating argument because as you say people tend to have two approaches to forecasting. I suppose there's a whole other range of now entrants into this market or maybe renewed interest into the market who think that with the current set of information if only you could apply better methodologies aka nonlinear methodologies machine learning data science whatever. That might work for a very short time but then everybody else cottons on and catches up so it's only ever a very short term win when you do that. Yeah, yeah so the idea there is that you've got the same information but not everyone is using it effectively and if you can somehow use it more effectively than everyone else thing