The problem is that it is easy to confuse the capability to
make precise forecasts with the ability to make accurate ones.
Not exact matches
Asserting that we do not yet have either the facts or the methods to
make forecasting a
precise art, Michael argues that there are three basic reasons for continuing to
make or act upon them: (1) some
forecasts are likely to be close to the mark, (2) poor
forecasts provide a better basis for planning than no prediction at all, and (3) well - done
forecasts help to illuminate the many factors that interact to produce the future.
The objective of these models would not be to provide a
precise forecast of the future (an impossible task), but rather to capture enough of the behavior of the educational system to
make useful qualitative predictions.
More
precise assessment of the initial conditions preceding extreme weather events is indispensable in
making accurate
forecast calculations.
In fact, these developments
make what insiders say the IPCC's message will be all the more astonishing: The new
forecasts, they say, will be more or less the same as the old ones, just more
precise.
Regional modeling allow us to
make more
precise forecasts in both time and space for critical human activities and concerns such as travel, health, work, and safety.
Similarly to weather
forecasting, efforts can be
made to setup a model to match initial conditions at a certain point in time but they are likely to break down pretty quickly because we lack the quantity and quality of data to be
precise enough in the setup (and possibly because the chosen model does not accurately produce variability similar to that observed on Earth).
They are nice tools for illustrating the genesis of Extremistan, but I insist that the «generator» of reality does not appear to obey them closely enough to
make them helpful in
precise forecasting.»