https://t.co/uWmEqLo2Hs
THE MILGRAM EXPERIMENTS

"Milgram (1963) examined justifications for acts of genocide offered by those accused at the World War 2, Nuremberg War trials. Their defence often was based on "obedience", they were just following orders from their superiors."

"Milgram (1963) wanted to investigate whether Germans were particularly obedient to authority figures as this was a common explanation for the Nazi killings in World War II."
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"-Milgram (1963) was interested in researching how far people would go in obeying an instruction if it involved harming another person. "
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ARE YOU GETTING THIS NOW???
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Results:
65% (two-thirds) of participants (i.e., teachers) continued to the highest level of 450 volts. All the participants continued to 300 volts. Milgram did more than one experiment – he carried out 18 variations of his study -
- All he did was alter the situation (IV) to see how this affected obedience (DV).
Conclusion:

"Ordinary people are likely to follow orders given by an authority figure, even to the extent of killing an innocent human being. Obedience to authority is ingrained in us all from the way we are brought up."
"People tend to obey orders from other people if they recognize their authority as morally right and/or legally based. This response to legitimate authority is learned in a variety of situations, for example in the family, school, and workplace."
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"Milgram summed up in the article “The Perils of Obedience” (Milgram 1974), writing:
'The legal and philosophic aspects of obedience are of enormous import, but they say very little about how most people behave in concrete situations. "
"I set up a simple experiment at Yale University to test how much pain an ordinary citizen would inflict on another person simply because he was ordered to by an experimental scientist."
"Stark authority was pitted against the subjects’ [participants’] strongest moral imperatives against hurting others, and, with the subjects’ [participants’] ears ringing with the screams of the victims, authority won more often than not."
"The extreme willingness of adults to go to almost any lengths on the command of an authority constitutes the chief finding of the study and the fact most urgently demanding explanation."
Do YOU not think, the Deep State, don't know all this?

More from Duncan J Campbell

https://t.co/ukabnTVViq

https://t.co/IFCWPEFyIy
2019
"In China and India alone, an estimated 2 million baby girls go "missing" each year. They are selectively aborted, killed as newborns, or abandoned and left to die."

https://t.co/wtIt7fUoKU
JOURNAL ARTICLE
Female Infanticide in China
Bernice J. Lee

https://t.co/Hg91jjtZFW
In the early 1980s there were 108 male births to every 100 female, only slightly above natural rate; by 2000 that had soared to 120 males, some provinces, such as Anhui, Jiangxi/Shaanxi, to more than 130. The result is more than 35 million women "missing"

https://t.co/C7A3t8mnyp
2012
"In China, a ”one-child” policy, enforced by the state with forced sterilizations and abortions, exacerbates gendercide"
https://t.co/tsTubhXYFM
2018
"Bribery and corruption in the NHS ‘being underreported"
The NHSCFA calculated that fraud costs the NHS £1.29bn each year, in its annual report and accounts – enough to pay for more than 40,000 staff nurses or to buy 5,000 ambulances."


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Hard agree. And if this is useful, let me share something that often gets omitted (not by @kakape).

Variants always emerge, & are not good or bad, but expected. The challenge is figuring out which variants are bad, and that can't be done with sequence alone.


You can't just look at a sequence and say, "Aha! A mutation in spike. This must be more transmissible or can evade antibody neutralization." Sure, we can use computational models to try and predict the functional consequence of a given mutation, but models are often wrong.

The virus acquires mutations randomly every time it replicates. Many mutations don't change the virus at all. Others may change it in a way that have no consequences for human transmission or disease. But you can't tell just looking at sequence alone.

In order to determine the functional impact of a mutation, you need to actually do experiments. You can look at some effects in cell culture, but to address questions relating to transmission or disease, you have to use animal models.

The reason people were concerned initially about B.1.1.7 is because of epidemiological evidence showing that it rapidly became dominant in one area. More rapidly that could be explained unless it had some kind of advantage that allowed it to outcompete other circulating variants.

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