1srelluc
Diamond Member
Some of the most difficult non-linear chaotic systems observable are your local weather.
Predicting the WEATHER has historically been a 50% proposition, and by my observations, the weather-guessers get it right about half the time.
With the advent of Super-Computers working over climate data back in the late 1980s it was still 50% guesswork going by the results.
Now we have all this AI and the weather prediction still seems like a 50/50 proposition.
Either the computers aren't any smarter, or we are feeding them faulty "climate change" data.
Back in the early 80s Willard Scott (a weather presenter) told me that any weather prediction past 36 hours out is pure guess work and only for TV ratings. He could do just as well reading off the Farmer's Almanac.
Was he right?
Predicting the WEATHER has historically been a 50% proposition, and by my observations, the weather-guessers get it right about half the time.
With the advent of Super-Computers working over climate data back in the late 1980s it was still 50% guesswork going by the results.
Now we have all this AI and the weather prediction still seems like a 50/50 proposition.
Either the computers aren't any smarter, or we are feeding them faulty "climate change" data.
Back in the early 80s Willard Scott (a weather presenter) told me that any weather prediction past 36 hours out is pure guess work and only for TV ratings. He could do just as well reading off the Farmer's Almanac.
Was he right?
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