A Quote by Samuel Goldwyn

Forecasts are difficult to make-particularly those about the future. — © Samuel Goldwyn
Forecasts are difficult to make-particularly those about the future.
Never make forecasts, especially about future.
Forecasts vary in horizon, from a few seconds up to a few days in financial markets, compared to from one to several months for macro variables. We have to provide uncertainty intervals around the central forecasts to indicate the extent to which we are unclear about the future.
Prediction is a very difficult business, particularly about the future
Forecasts may tell you a great deal about the forecaster; they tell you nothing about the future.
Prediction is difficult- particularly when it involves the future.
[Several candidates talked of problems with the federal Medicare system, particularly concerns about whether it would cover prescription drug costs in the future.] We're asking senior citizens to make a choice between their health and their income, ... Medicare is probably the most difficult challenge we face in the next century, because it has a lot to do with other things besides money.
It's always difficult to make predictions about the future.
It is very difficult to make an accurate prediction, especially about the future.
The future is better dealt with using assumptions than forecasts.
The internet has extended the possibility of making art to more people, and particularly of enabling it to be seen by others. I am sure the internet is having a profound impact on art, particularly those who have grown up with it, but making good art will remain as difficult (and as easy) as it ever was. Having a lasting impact may become more not less difficult.
You don't need to predict the future. Just choose a future -- a good future, a useful future -- and make the kind of prediction that will alter human emotions and reactions in such a way that the future you predicted will be brought about. Better to make a good future than predict a bad one.
A potentially useful property of forecasts based on cointegration is that when extended some way ahead, the forecasts of the two series will form a constant ratio, as is expected by some asymptotic economic theory.
Big data is mostly about taking numbers and using those numbers to make predictions about the future. The bigger the data set you have, the more accurate the predictions about the future will be.
'Particularly' is particularly difficult because the 'L' and the 'R' are totally different, like totally different letters. I would spend hours in front of the mirror with my dialect coach to observe my tongue. You don't think, when you speak, about all the things that happen in your jaw and your mouth, how everything reacts, so you have to watch all those things and realise we have a totally different use of our tongue and jaws.
When I worry about risks, I worry about the biggest ones, particularly those that are difficult to predict - the ones I call small but deep holes. While odds are you will avoid them, if you do fall in one, it's a long way down and nearly impossible to claw your way out.
I think good campaigns generally, but I think particularly presidential campaigns, they're about the voters, and they're about the future. And I think it's hard to be a successful candidate who talks about the future who isn't hopeful, who isn't optimistic, and doesn't offer a vision, right?
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