[fnordpiglet]

I’m asserting nothing other than the article asserted the pattern of hurricanes changed to target the orange growing region more often and that you’re using gross geographic data to discuss an orthogonal point. However you make it seem like the assertion is nature intentionally targeting orange groves rather than shifts in patterns implies patterns shifted from where they were to where they were not hitting - this is definitional in the concept of a pattern shift. Your evidence for your assertions are unrelated to that topic of pattern shift, indicating you’ve misunderstood the problem to diagnose.

It’s great you’re bringing data to the table but you’re overstating its validity to the assertion dramatically.

Finally I’d note you’re asserting an analysis you’ve done without providing the data, method, or any reproducibility. So while you might personally feel you’ve done an accurate job, your assertions are citing exclusively yourself, against hidden methods, making it of no more quality than a puff piece article citing research without citation that you’re arguing against.

[tgarrett]

I did provide the data in my first comment, here it is again:

https://www.aoml.noaa.gov/hrd/hurdat/All_U.S._Hurricanes.htm...

The analysis is easy: copy and paste the data from that link into a new text file, then write a python script that goes through it and counts the number of Cat 1, 2, 3, 4 & 5 hurricanes that make landfall per year (the "Highest Saffir-Simpson U.S. Category" column), and then make the plots: I used gnuplot. You can then do fits to the data if you'd like, but the flat trend lines over the last 175 years are obvious.

I encourage you to not trust me and to do it yourself, but I'm also happy to share my script, let me know.

As far as the hurricane trajectory trend lines go, they are clearly highly stochastic: check out e.g. both the spaghetti plot predictions for various storms from previous years, and ask google for a map of where they grow (grew...) oranges in Florida.