Red Sea Dive: Peacock Flounder, Trumpet Fish, Pennant Coralfish, Chelidonura livida. Sharm El Sheikh, Egypt, 127 https://video.qoto.org/videos/watch/8d0a91f0-e1f1-40ef-bdf7-c9634ba93e05
No thats just because when someone dies the doctor doesnt always know they were vaccinated, so while they would be required to report it many slip through and dont get reported. Its rare the vaccinating doctor is also the one who pronounces you dead.
@skells
Because as an emergency authorized vaccine the rules chamged such that **all** events must be reported by llaw even if its minor or unrelated. This isnt normally a strict legal requirement on reporting
@skells
Of course it correlates with vares. Vares is a list of any adverse effect someone experiences regardless of if is thought to relate to the vaccine at all or not. Vares proves my point, when everyone on the planet is getting a shot and all of them must report literally anything even if known to be unrelated them every otch, sneeze, boil, and cancer is suddenly relevant. Its literally just a lost of all the random shit that happens randomly with no correlation to the vaccine for 99% of it.
@YorkshireTea
A lot of the significantly noise. A lot of times you look intensity like that and find its fictional.
Bella palsey is super common, ive had it three times in my life. You can get it from a cold breeze. When the entire world is getting vaccinated even if it were completely unrelated youd expect lots of people to be getting bells palsey some time after being jabed.
Your anecdoctal evidence is weak as hell. You could literally describe aby random illness someone gets to the jab when virtually everyone is getting the jab
@Pat Sure, thats why i order pizzas a lot, the pizza box can fit on your lap
@Pat Is that the same as push-ups?
A good data scientist knows what he can prove and to what confidence level. Not every argument can be trivially proven/ A solid argument will be demonstrated from several angles with some of them doing a good job at minimizing confounding in the data. For examle if you can do a double blind test you can often eliminate confounding variables with high confidence. But you cant do double blind tests on everything.
Depends on what your hypothesis is on how the government lockdowns cause harm. I've argued it with some data from a few angles in the past. Though keep in mind there may not be good data to resolve many hypothesis too as someone needs to collect the right data and that may not always exist.
@strawberryfieldsforever I'm afraid of the land! I dont know how **you** do it. Arent you scared a lion will jump out and eat you?
I do think that the government lockdowns have done more harm than good, not disagreeing with that. All I am saying is this data is absolute shit at making that case. Other data on the other hand I think could potentially make that case effectively, we just dont have that here.
@realcaseyrollins I'm not sure what I hate more, Trump, or the stupid shit people say that hate Trump...
Tons of things, and without better analysis no way to know what it is.
People could be depressed over covid killing loved ones and thus commiting suicide.
Maybe the constant fear of covid is causing depression and death.
Maybe people are so scared of covid they dont go outside and dont get exercise and are dying of bad nutrition, lack of vitamin D, or lack of exercise.
The reasons are too many to count because the data is so insanely broad.
Yea but we cant even say what part of the numbers is even related to government policy. Like how do you know people are dying as a result of government policy and people arent just commiting suicide because they are so depressed over covid and loved ones lost or something unrelated to got policy... you cant.
I've been going a little overboard on my dives lately using three seperate dive computers. Worse yet they each use three different algorithms:
My Shearwater Petrel 2 uses VPM+GF (Varying Permiability Model + Gradient Facor)
My Suunto EON Steel uses Suunto's Fused RGBM (Reduced Gradient Bubble Model)
My Garmin Descent Mk2 uses Buhlman algorithm.
You might ask how i reconcile all three when they give different dive plans... simple.. I just use the deepest ceiling availible to me at the time and never violate any of them. Makes for an ultra conservative dive, as I set all of them with high conservatism, but I like that.
Also how do you even know that government policy is making things worse... Could be tons of factors that arent even related to govt policy... thats the thing the analysis is so poor they cant even say that much.
Well yea thats the thing, the only thing looking at total deaths will tell you is well, how much people are dying. It tells you nothing about the causes of those deaths and is virtually useless beyond being able to say "people died from something"
Right off the bat before even getting knee deep in this pile of sewage I already notice the entire foundation of the argument relies on total deaths... in statistics we have something called confounding and by looking at total deaths, of which covid is only a small part, you are going to drown in a sea of confounding and not really get very good analysis.
For example think of all the other things going on when you quarintine... loss of work, depression, reduced transmission of other diseases, more sex (and potentially more STDs), change in eating habits, less exercise, Confounding would be through the roof...
Let me give it a full read though.
Jeffrey Phillips Freeman
Innovator & Entrepreneur in Machine Learning, Evolutionary Computing & Big Data. Avid SCUBA diver, Open-source developer, HAM radio operator, astrophotographer, and anything nerdy.
Born and raised in Philadelphia, PA, USA, currently living in Utrecht, Netherlands, USA, and Thailand. Was also living in Israel, but left.
Pronouns: Sir / Mister
(Above pronouns are not intended to mock, i will respect any persons pronouns and only wish pronouns to show respect be used with me as well. These are called neopronouns, see an example of the word "frog" used as a neopronoun here: http://tinyurl.com/44hhej89 )
A proud member of the Penobscot Native American tribe, as well as a Mayflower passenger descendant. I sometimes post about my genealogical history.
My stance on various issues:
Education: Free to PhD, tax paid
Abortion: Protected, tax paid, limited time-frame
Welfare: Yes, no one should starve
UBI: No, use welfare
Racism: is real
Guns: Shall not be infringed
LGBT+/minorities: Support
Pronouns: Will respect
Trump: Moron, evil
Biden: Senile, racist
Police: ACAB
Drugs: Fully legal, no prescriptions needed
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