Over 27,000 acres burned in eastern KY fires, dry conditions continue
136 fires have begun since the beginning of November, all caused by debris burning and arson.
From 2023
So when it’s dry it could burn?
Crazy thought
Global Climate Changes
- Thread starter Caveman Catfan
- Start date
From 2023
So when it’s dry it could burn?
Crazy thought
Climate change and the homeowners insurance crisis - The Boston Globe
Massachusetts residents are feeling the sting of canceled policies.
www.bostonglobe.com
Cases are few, but are on the rise. There is a recent National Geographic article out, but you must be a subscriber. It discusses a rise in cases in Florida after the 2024 hurricanes. The uptick in rare, potentially fatal, diseases appears to be related to global warming events. Here is an older piece discussing Vibrio, a flesh-eating bacteria, that thrives in warm, brackish water:https://www.scientificamerican.com/...acteria-infections-are-on-the-rise-in-the-us/
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Reports of infection are not limited to Florida:
"Vibrio vulnificus is found in warm coastal waters around the world. In the U.S., this includes southern Gulf Coast states. But rising ocean temperatures due to global warming are creating new habitats for this type of bacteria, which can now be found along the East Coast as far north as New York and Connecticut. A recent study noted that Vibrio vulnificus wound infections increased eightfold between 1988 and 2018 in the eastern U.S."
Anything else increased in this country the last 10 years besides the imaginary temperature.
If you want to see the real cause behind increases in certain infections, look no further than massive waves of illegal immigration. Of course that we're told is necessary due to climate change.
Climate change - the magic bullet.
If only we had lived before the Industrial Revolution when the climate never warmed.
Similarly, I cannot imagine that the lawyers and scientists in the tobacco industry were not well aware of the serious and harmful side effects of smoking before worldwide consensus emerged.
news.harvard.edu
Exxon scientists predicted global warming with 'shocking skill and accuracy,' Harvard researchers say
In the study, scientists showed how the multinational energy giant worked to cloud the issue.
news.harvard.edu
According to this piece, it is only very recently (since March 2023) that the oceans have really become something like a “hot tub” …
apple.news
Finally, an answer to why Earth's oceans have been on a record-hot streak — Grist
Earth’s oceans caught a fever in March 2023 that has yet to break. Since then, the bathwater-like conditions have killed corals in a record-breaking mass bleaching event, fueled hurricanes, and collapsed entire fisheries.
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AI has plenty to say about global warming and climate change. A simple google search for AI on the topic will yield an incredible number of hits, presenting confirmation, forecasts and possible solutions. To my view, that is not a surprise, as it essentially mines the data out there. However, it probably goes without saying, AI can be artificially unintelligent, too ... or more simply, wrong or inaccurate. Still, I find it interesting, if nothing else, to see what AI says about global warming and climate change.
"Yes, AI can be wrong; it is not infallible and can make mistakes because it relies on data patterns, which can be incomplete or biased, leading to inaccurate predictions or outputs in certain situations."
“AI is a powerful tool that can easily be misused. In general, AI and learning algorithms extrapolate from the data they are given. If the designers do not provide representative data, the resulting AI systems become biased and unfair."
"AI can be wrong fairly often, with studies showing that even highly accurate AI systems can produce incorrect results in a significant portion of cases, sometimes reaching as high as 20% or more, depending on the complexity of the task and the quality of the data it's trained on; this is largely due to potential biases in the training data and the inherent limitations of AI in interpreting nuanced situations."
"Yes, AI can be wrong; it is not infallible and can make mistakes because it relies on data patterns, which can be incomplete or biased, leading to inaccurate predictions or outputs in certain situations."
“AI is a powerful tool that can easily be misused. In general, AI and learning algorithms extrapolate from the data they are given. If the designers do not provide representative data, the resulting AI systems become biased and unfair."
"AI can be wrong fairly often, with studies showing that even highly accurate AI systems can produce incorrect results in a significant portion of cases, sometimes reaching as high as 20% or more, depending on the complexity of the task and the quality of the data it's trained on; this is largely due to potential biases in the training data and the inherent limitations of AI in interpreting nuanced situations."
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