patrick.net

FNWGMOBDVZXDNW says

Flipping a coin illustrates the difference between a statistical characterization of results and a sequence of events.

Flip a coin, heads. Flip it again, tails. It's still a flip of a coin. Can you say a thousand coin flips will turn out to be evenly distributed? How many coins do you have to flip before FNWGMOBDVZXDNW says

The statistical characterization is easier to predict than the sequence.

Ultimately it's a flip of the coin. Easy to model as there is one binary variable. Heads or tails.
The weather, and thus the climate, has countless multi-valued variables, and unknown feedback effects.

Would you say someone was naive to think they could accurately predict how many heads they will turn out of 1,000,000 flips of a coin? What makes you think anyone can create a model to predict climate a century, a decade, or even 5 years from now?

FNWGMOBDVZXDNW says

But saying that you cannot predict all of the coin flip results does not mean you cannot predict the number of heads. Same goes for the climate.

Onvacation says

What makes you think anyone can create a model to predict climate a century, a decade, or even 5 years from now?

It's nothing real world like flipping a coin
FNWGMOBDVZXDNW says

You still don't see to understand statistics,

Just because you are on the steep part of some natural cycle does not mean it's the asymptote of an exponential phenomenon. Hope you get the reference.
FNWGMOBDVZXDNW says

have a nice day.

Thank you very much. You too.