Guess again.
2/
Cons in other countries don’t separate comics people from the celebrities. So you often spend a week between two cons, getting to know actors, wrestlers, and other famous people.
We always found nearly all of them lovely people.
Guess which group consistently wasn’t?
:)
1/
Guess again.
3/
Last guess.
4/
One group has been so consistently loathsome, have so tortured staff and promoters, that I would say it’s probably a 90% likelihood that any con guest in this category is just awful.
Ready?
5/
By a fucking MILE.
You will never meet a ruder, more entitled group.
Even the ones who seem nice on tv were awful to the people meant to help them.
It’s bizarre.
6/
But these people are absolutely convinced they’re Elvis, even when their whole talent was camping or whatever.
It is the weirdest thing.
7/
They also never want to be around anything the con organizes.
8/
But how they treat people really bugs me.
I am sure there are lots of nice people from this category, but we shy away at this point.
9/
And now you know a green room secret observation!
Maybe they’re nice when not at a con.
Oh, well!
End/
:)
Three of these types were at a con dinner, and they were pretending to like each other, and they agreed to get together for a little private party later, which we all took to mean...who knows.
+1/
So three people decide to get together, no big deal, right?
+2/
+3/
Each time, we’re kind of aghast but also delighted because holy shit, these people are exhausting.
But here’s the thing.
+4/
As one or two would rudely get up to run outside for five minutes, that would eventually leave us alone with just one of them.
And every single one in turn, would look over at us and whisper conspiratorially...
+5/
And wink at us, like they would never be seen with such boring phonies, ie., the exact category of people the belonged to, that they had just made plans to see.
+6/
What’s worse? The entire rest of the dinner, they were all GUSHING to each other about how fun this private party was going to be.
+7/
the punchline of this story is that even THEY seemingly couldn’t stand each other.
:)
So the next day...when we were all getting ready to leave...
+8/
“Hey! How’d that party you guys had last night go? Sounded like fun!”
+9/
They all start making excuses to each other why they didn’t make it.
It finally hit them at the same moment, that not only did each of them ditch the others, but had each BEEN ditched...twice!
I can’t take it, I have to leave or I’ll die laughing.
+10/
Imagine three genuinely awful people having that discussion and it feels like karma from the Earth’s core.
:)
End/
More from Society
global health policy in 2020 has centered around NPI's (non-pharmaceutical interventions) like distancing, masks, school closures
these have been sold as a way to stop infection as though this were science.
this was never true and that fact was known and knowable.
let's look.
above is the plot of social restriction and NPI vs total death per million. there is 0 R2. this means that the variables play no role in explaining one another.
we can see this same relationship between NPI and all cause deaths.
this is devastating to the case for NPI.
clearly, correlation is not proof of causality, but a total lack of correlation IS proof that there was no material causality.
barring massive and implausible coincidence, it's essentially impossible to cause something and not correlate to it, especially 51 times.
this would seem to pose some very serious questions for those claiming that lockdowns work, those basing policy upon them, and those claiming this is the side of science.
there is no science here nor any data. this is the febrile imaginings of discredited modelers.
this has been clear and obvious from all over the world since the beginning and had been proven so clearly by may that it's hard to imagine anyone who is actually conversant with the data still believing in these responses.
everyone got the same R
these have been sold as a way to stop infection as though this were science.
this was never true and that fact was known and knowable.
let's look.
above is the plot of social restriction and NPI vs total death per million. there is 0 R2. this means that the variables play no role in explaining one another.
we can see this same relationship between NPI and all cause deaths.
this is devastating to the case for NPI.
clearly, correlation is not proof of causality, but a total lack of correlation IS proof that there was no material causality.
barring massive and implausible coincidence, it's essentially impossible to cause something and not correlate to it, especially 51 times.
this would seem to pose some very serious questions for those claiming that lockdowns work, those basing policy upon them, and those claiming this is the side of science.
there is no science here nor any data. this is the febrile imaginings of discredited modelers.
this has been clear and obvious from all over the world since the beginning and had been proven so clearly by may that it's hard to imagine anyone who is actually conversant with the data still believing in these responses.
everyone got the same R
this methodology is a little complex, so let me explain what i did.
— el gato malo (@boriquagato) May 30, 2020
a few EU countries provide real day of death data. this lets us plot meaningful curves to show rate of disease change.
what struck me is how similar all the curves were.
everyone got the same shape. pic.twitter.com/bN0hILzoSl
It is simply not correct to point fingers at wind & solar energy as we try to understand the situation in TX. The system (almost) had a plan for weather (almost) like this. 1/x
It relied on very little wind energy - that was the plan. It relied on a lot of natural gas - that was the plan. It relied on all of its nuclear energy - that was the plan. 2/x
There was enough natural gas, coal and nuclear capacity installed to survive this event - it was NOT "forced out" by the wind energy expansion. It was there. 3/x
Wind, natural gas, coal and nuclear plants all failed to deliver on their expectations for long periods of time. The biggest gap was in natural gas! The generators were there, but they were not able to deliver. 4/x
It may be fair to ask why there is so much wind energy in ERCOT if we do NOT expect it to deliver during weather events like this, but that is an entirely different question - and one with a lot of great answers!! 5/x
Conservatives are using the Texas power chaos to argue against climate policy even as fossil-generated power outages dwarf the amount of renewables knocked offline during the historic deep freeze. President Biden and progressives have been slow to respond.https://t.co/UajKhptEAU
— E&E News (@EENewsUpdates) February 17, 2021
It relied on very little wind energy - that was the plan. It relied on a lot of natural gas - that was the plan. It relied on all of its nuclear energy - that was the plan. 2/x
There was enough natural gas, coal and nuclear capacity installed to survive this event - it was NOT "forced out" by the wind energy expansion. It was there. 3/x
Wind, natural gas, coal and nuclear plants all failed to deliver on their expectations for long periods of time. The biggest gap was in natural gas! The generators were there, but they were not able to deliver. 4/x
It may be fair to ask why there is so much wind energy in ERCOT if we do NOT expect it to deliver during weather events like this, but that is an entirely different question - and one with a lot of great answers!! 5/x
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but his name also pops up in a LOT of other ford projects. for instance - he controls the long term lease on big parts of toronto's portlands... where doug ford once proposed building an nfl stadium and monorail... https://t.co/weOMJ51bVF
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