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  2. As if what happened last August has *any* relevance or influence on what this August will be like? Useless filler statement in the context of forecasting. This would be like saying, "recall last winter CoastalWx has two 20"+ snowstorms in Weymouth..." for this upcoming winter fcst. And not to leave out Wxwiz, for July 10 any year that has a tor risk on this day, "recall on July 10, 1989 we had 17 tors in the NEUS for its biggest outbreak on record!"
  3. How much did it set you back to fill up your truck with freedom fuel today?
  4. Sunset from Nicky’s on the bay in bay shore. Top ten day weather wise.
  5. Odd statements like this that you would say, "no one ever says that!" or "says it that way!" are a red flag for AI-generated content. I've seen it many times in wx posts already on various social media platforms. One was talking about tornadoes and it said, "F5-class." First, not using the EF-scale is a red flag, and second, no one ever says "F5-class" for a pre-2007 tornado rating. We say, "F5-rated" or "rated F5"! In narration, it can sound great and getting all its facts correct, but you get thrown off whenever you hear a mispronounced word from AI not knowing usage context. Like "lead" or "wound." It stands out so much and it takes you out of the listening/learning part, and you immediately go, "AI SLOP!"
  6. Ive never been a fan of using 30 years "blocks" for determining " normal". I'd much prefer the entire dataset for a site be used.
  7. ACATT will stop at nothing to prove their agendas . And I’m as far right as it gets
  8. Yesterday
  9. The door swings both ways, and neither far end is good! If one is going to cover wx for a big audience, state things objectively and try not to let personal bias sway you. Sadly, this position is harder and harder to find these days. And the most devious things about it is that some know better, are on the level, yet are well-aware that instigating conflict and divide w/ endless speculation, conjecture, and hedging is an easy way to get attention and monetize, so they disingenuously take this route. Some are more subtle than others. Look at the rhetoric and most importantly, how things are over time.
  10. There’s posters here ( ACATT) as an example .. that think this is chilly and below normal and that the month of July is and will finish BN. It’s hard to understand or fathom , but just look at their posts
  11. Definitely not the monsoon that was hyped coming into the week. Hopefully next week is better
  12. I clean my dogs paws everytime she comes in with wipes. I wipe till they wipe clean.
  13. "If the wx is not *exactly* normal, then something is wrong!" The notion of normal is so messed up these days in public perception and in the field. Well, how about this to make ppl go ????? - "it's normal NOT to be normal! Normal all the time would be a problem in reality!" And ever notice that "not normal" is always associated w/ the negative? So how does one resolve atypical low tornado years or a quiet hurricane season? Or a winter than is rather mild in the CONUS, like strong EL Nino typically is? Heating costs and energy demand reduced alone makes it more beneficial than not.
  14. I saw one sitting here on the porch, and that made me think of it, but I haven’t heard any. I blame the lantern flies.
  15. Accords are tanks. Had one several years ago and it’s by far the most reliable car I’ve driven.
  16. Positive. Here is the PNA progression from DJFM 2023-2024, a weaker El Niño within the heart of the Pacific cold phase. 1.21, 0.45, 0.09, 0.45 It's going to be more negative than that season? Good luck....take a look at all of the super El Niño events....waaaaay positive. Even 1991....only one that was neutralish was 1972, but it was still barely positive. Now, maybe the orientation of the PNA ridge will suck....but the reading won't come out negative for the DJFM mean.
  17. There’s some around my neighborhood but I would say fewer than usual. Huh…wonder why.
  18. By the way, where are all the annual cicadas??? I haven’t heard any this year.
  19. Don you may want to look at my last post and help answer these gaps or as you call them "breakpoints" on why on a single station basis with rigorous long term station data such as Coatesville 1SW the annual supporting data from raw to adjusted for 99.7% of years from 1895 through 1971 was chilled by NCEI. We can see it is certainly not TOB and not site moves so what is it and why can't we quantify it if the science is so transparent by year with attribution to all of the potential reasons for chilling the data basically every single year for this station. Where is the NCEI detailed file explaining this particular stations unique adjustments by year?
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