Not necessarily If nobody complains, if I locked the doors to the Tory conference and set the building alight, it isn't a crime. Cressida Dick says so...
And on a similar vein, things in the UK could definitely be worse... (Although maybe this is a RW tactic to fight airborne cancer?)
The couple on the right have clearly been roped into it. He's had trigger discipline explained to him just before the photo, for a start. "Keep you finger off the trigger and keep it straight." The front three sum up the Republican party well, though. Even their guns are overprivileged.
It's time for British Twitter to have to explain their hashtags again... Although it also needs to be explained to this berk who thinks we live in Minority Report
No wonder Pfizer wanted to hide it for 75 years. Follow the money. BNT162b2 5.3.6 Cumulative Analysis of Post-authorization Adverse Event Reports CONFIDENTIAL Page 7 Table 1 below presents the main characteristics of the overall cases. Table 1. General Overview: Selected Characteristics of All Cases Received During the Reporting Interval Characteristics Relevant cases (N=42086) Gender: Female 29914 Male 9182 No Data 2990 Age range (years): 0.01 -107 years Mean = 50.9 years n = 34952 ≤ 17 18-30 31-50 51-64 65-74 ≥ 75 Unknown 175a 4953 13886 7884 3098 5214 6876 Case outcome: Recovered/Recovering 19582 Recovered with sequelae 520 Not recovered at the time of report 11361 Fatal 1223 Unknown 9400 a. in 46 cases reported age was <16-year-old and in 34 cases <12-year-old. As shown in Figure 1, the System Organ Classes (SOCs) that contained the greatest number (≥2%) of events, in the overall dataset, were General disorders and administration site conditions (51,335 AEs), Nervous system disorders (25,957), Musculoskeletal and connective tissue disorders (17,283), Gastrointestinal disorders (14,096), Skin and subcutaneous tissue disorders (8,476), Respiratory, thoracic and mediastinal disorders (8,848), Infections and infestations (4,610), Injury, poisoning and procedural complications (5,590), and Investigations (3,693). Pfizer vaccine kills 1223 people dec 20 to feb 21 and 11361 living on borrowed time.
Last Christmas They said stay apart But the very next day They partied away This year They denied with a sneer And claimed it was nothing special
This is absolute bollocks. It counts anyone who died within a period after receiving the vaccine. Since millions of elderly people had the vaccine of course some died. No more than would be expected in a population of that size.
You can't really blame anti-vaxxers for using those stats though when the authorities use the "within 28 days of positive test" when counting COVID deaths.
Except that that is actually being done to pretend that Covid is less dangerous than it is as the number of deaths with Covid as a cause on the death certificate is higher!
A layman guide to conditional probability (long-ish) ... Suppose someone dies of pneumonia, and is recorded as "with covid" . DP is the event of pneumonia death, C is the event of corona infection. The "with covid" is expressed as "DP and C" . P(C) is the probability that someone is infected with corona. P(DP) is the probability someone dies of pneumonia. P(DP and C) is the probability of the "with covid" . P(C | DP) is the probability someone is infected with corona,, given that they died of pneumonia. We know that : P(C | DP) = P(DP and C) / P(DP) . Then there is P(DP | C) . Which is given you are corona infected, what is the probability you will die of pneumonia. And is similarly simply calculated. What we are interested in is : 1. the value of P(DP | C) 2. the ratio P(DP | C) / P(DP) #1 tells us the absolute likelihood of corona triggering pneumonia death. #2 tells us how much more likely you are to die of pneumonia in a corona world than is usually expected. Any health service that is rigorously following the scientific method should be : 1. able 2. willing to provide the #1 / #2 values for every single illness tagged as "with covid" (in the UK alone the data set is claimed to be > 100K - which is statistically robust) .