[Ntrails]

> they should have known better than to try to predict this.

There's no downside, only free publicity. If they, by good fortune and a following wind, get it right - then the publicity is incredible. If it's wrong they laugh and say "well, better stick to predicting what we're good at!" and they still get a shitload of headlines and awareness of their product.

This was not a mistake.

[jamespo]

Well, there's the downside of articles like this pointing out they've had 4 years to work on their models and they've got worse