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Well since Gronk has proven his ability to misrepresent me
Yeah when was that again ?
Well since Gronk has proven his ability to misrepresent me
Well assuming your 90% hypothetical I'd say it's definitely fair.
Why would you disagree with this?
As long as you don't think I'm trying to change your mind. If this was a private discussion I would've agreed to disagree long ago.
FFS Barry, I was having enough trouble understanding what they were talking about!
That does look interesting. I will examine it further when my brain is fuelled by ketones, and not the wine I've been feeding it for several hours.https://en.wikipedia.org/wiki/Inductive_reasoning
https://plato.stanford.edu/entries/induction-problem/
I think it's low carb, but not certain it's keto.
I know. It's great news for most people. Problem is I'm not most people..Wines without residual sugar (meaning that they don’t have any sugars left after fermentation) are not uncommon are are considered keto-ish.
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Because it’s probably not keto if you’re on your second goon bag.I know. It's great news for most people. Problem is I'm not most people..
Well yeah, that's my point.Because it’s probably not keto if you’re on your second goon bag.
Well yeah, that's my point.
It's more like a drip feed. Just watching a bit of the tennis.I'd suggest leaving those links for another day in that case.
You never wanna start thinking too much on more than a goon bag.
Is it more exciting than basketball?It's more like a drip feed. Just watching a bit of the tennis.
Tennis is incredibly boring. But yeah, I reckon.Is it more exciting than basketball?
Tennis needs players to be arseholes. They need something to prop up their sport.Tennis is incredibly boring. But yeah, I reckon.
When you replied to my post with a whole bunch of stuff that I agreed with. The only possible implication is that you thought the stuff you quoted was at odds with what I had said.Yeah when was that again ?
Because it's your hypothetical and I'm replying to you?Why would you assume universal application of a random hypothetical?
I didn't assume your hypothetical was true, I just chose to play your game, in good faith. Why else would you bring a hypothetical into it?9/10 hypothetical's using statistical propositions are exaggerated for effect.
No, I meant it's just possible until proven impossible.Its not a case of agree or disagree, it's a case of as a statement "I can't rule it out" has implications beyond say a statement of "I can neither rule it in, nor out", it's unbalanced and implies it to be true until proven untrue, because "can't"( ie unable to ) implies an impassable obstacle to doing so.
That may not have been your intention, but it is very much the convention as I understand it.
That's because it's not an area of expertise for you, whereas for me it is.I'm not particularly interested in assigning motive to posters here, more likely than not I'd get it wrong.
It's absolutely not compelling. As has been mentioned, we need (quality) scientists to analyse scientific data, but then we have extra layers of journalists, activists and politicians telling us what they believe scientists are saying. Much like Katherine Wu said in blog post I shared earlier:The science is far from compelling to this chap too.
Meh, science progresses,
Uncertainty Quantification
This page provides computer code for a new, improved uncertainty analysis for the GISS Surface Temperature Analysis (GISTEMP) v4, and which can be similarly applied to v3. The analysis in described in detail in the journal article "Improvements in the uncertainty model in the Goddard Institute for Space Studies Surface Temperature (GISTEMP) analysis" by Lenssen et al. (2019). The code is written in the R programming language; instructions for downloading the code and replicating the analysis are given below.
The production GISTEMP global mean temperature time series with the total (LSAT and SST) 95% confidence interval calculated in our study for annual mean temperature smoothed with LOWESS with 5-year bandwidth. Anomalies are calculated with respect to the 1951-1980 climatology.
GISTEMP processes spatial variations in surface temperature anomalies that are derived from historical weather station data and ocean data from ships, buoys and other sensors. Uncertainties arise from measurement uncertainty, changes in spatial coverage of the station record, and systematic biases due to technology shifts and land cover changes.
In Lenssen et al (2019), we have updated previous uncertainty estimates using currently available spatial distributions of source data and state-of-the-art reanalyses, and incorporate independently derived estimates for ocean data processing, station homogenization and other structural biases. The resulting 95% uncertainties are near 0.05°C in the global annual mean for the last 50 years, and increase going back further in time reaching 0.15°C in 1880.
https://data.giss.nasa.gov/gistemp/uncertainty/