New App Predicts Future Climate Out to 2070

Well, what the farmers (and everyone) need to understand is that such apps operate using man’s fallible programming based on fallible assumptions. Yes, computer models are all based on fallible assumptions—and if the assumptions are wrong, the model will be wrong. And climate change activists base their programming on evolutionary assumptions (in other words, wrong assumptions!). If their assumptions are wrong (and such evolutionary assumptions are), then their conclusions are wrong.

This is why climate predictions consistently fail. Wrong assumptions build wrong models, and wrong models give wrong results!

This is why climate predictions consistently fail. Wrong assumptions build wrong models, and wrong models give wrong results!

Also, farmers are often able to adjust the crops that are produced in a specific location over longer time frames, as the climate inevitably does change (it’s been changing since the flood). We can use actual historical data for this rather than predictions based on assumptions.

Oh, and as my good friend Dr. Mortenson said, “Meteorologists can’t even accurately predict the weather one week out, let alone for years to come! Foolish is the farmer who follows this computer model.”

I encourage you to learn more about climate change, and a biblical and scientific view on it, in our brand-new book Climate Change for Kids…and Parents Too! It’s a great tool for families to learn more about this very important topic.

Get More Answers on Answers News

This item was discussed today on Answers News with cohosts Kevin Hadsall, Rob Webb, and Bryan Osborne. Answers News is our weekly news program filmed live before a studio audience here at the Creation Museum, broadcast on our Answers in Genesis YouTube channel, and posted to Answers TV. We also covered the following topics:

• More babies with Down Syndrome are being killed.
• Have the two earliest galaxies been discovered?
• One million United Methodists exit the denomination in one day.
• And more!

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Thanks for stopping by and thanks for praying,
Ken

This item was written with the assistance of AiG’s research team.