Its not one or the other, that’s overly simplistic. Using this one data point to “prove” climate change is about as honest as someone bringing a snowball into congress to prove it’s fake.
You need both to prove a sustainable point, otherwise it’s forgotten with the next cold snap. This is one extreme data point, and it helps to showcase the problem, but it is not the only one. Use it as part of a whole, not as a singular showcase.
That they’re outliers of what has been the norm for centuries is the entire point. Saying “this is the new normal” is, as you might surmise, normalizing it.
I mean, it is the new normal? None of us (hopefully) want it to be, but it’s the reality we have to deal with, unless the laws of physics that make thermometers work suddenly changed and no one noticed
It’s not high summer, and 40C is crazy. This is climate chang. Saying it’s weather is oil propaganda.
Its not one or the other, that’s overly simplistic. Using this one data point to “prove” climate change is about as honest as someone bringing a snowball into congress to prove it’s fake.
You need both to prove a sustainable point, otherwise it’s forgotten with the next cold snap. This is one extreme data point, and it helps to showcase the problem, but it is not the only one. Use it as part of a whole, not as a singular showcase.
Thats my interpretation of OPs comment.
Idk when record-breaking high temperatures are showing up weekly I think they stop being “extreme” data points
Outliers aren’t outliers anymore when all the measurements are in that range
That they’re outliers of what has been the norm for centuries is the entire point. Saying “this is the new normal” is, as you might surmise, normalizing it.
I mean, it is the new normal? None of us (hopefully) want it to be, but it’s the reality we have to deal with, unless the laws of physics that make thermometers work suddenly changed and no one noticed
I get what you’re saying. And you’re right. It about “how often”
If you have many outliers in rather small interval they stop being outliers and indicate a trend.