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Dateline...Madison Wisconsion happening now. DAs investigation results
Now Tony's dead... policeman is still alive
Common theme
Mj as a part of the cocktail of drugs used by people who commit crimes... in this case psychotic behavior ...
All drugs can potentially can create psychotic behavior.. poly drug use is probably certain to create such behavior
Officer Kinney did his job
Shooting determined lawful use of deadly force.
The cocktail of drugs he was under the influence of is called a "whack stack" on the street.
Dateline...Madison Wisconsion happening now. DAs investigation results
Now Tony's dead... policeman is still alive
Common theme
Mj as a part of the cocktail of drugs used by people who commit crimes... in this case psychotic behavior ...
All drugs can potentially can create psychotic behavior.. poly drug use is probably certain to create such behavior
Officer Kinney did his job
Shooting determined lawful use of deadly force.
The cocktail of drugs he was under the influence of is called a "whack stack" on the street.
Will there be a riot now?
Figures you would single mj out of the mix and attack it. You are not doing yourself or your cause any favors by doing so.
I'm not sure a riot with spawn from this incident. The dude was tweaking hard; physically assaulting everyone and anything in his sight. He could have easily knocked out the cop and took his service weapon and used it against him and others. Justified shooting, IMO.
Dateline...Madison Wisconsion happening now. DAs investigation results
Now Tony's dead... policeman is still alive
Common theme
Mj as a part of the cocktail of drugs used by people who commit crimes... in this case psychotic behavior ...
All drugs can potentially can create psychotic behavior.. poly drug use is probably certain to create such behavior
Officer Kinney did his job
Shooting determined lawful use of deadly force.
The cocktail of drugs he was under the influence of is called a "whack stack" on the street.
Pretty sure a stone wall has a greater ability to reason and use logic that the OP.
Correlation does not imply causation. You've been told this over and over, but you refuse to rise above your ignorance. Instead you seem to come here to celebrate it and try to convince everyone "science and logic" it's wrong and you're right. It's pretty funny actually, except for the fact that you have a badge and a gun.
Two events can consistently correlate with each other but not have any causal relationship. An example is the relationship between reading ability and shoe size across the whole population of the United States. If someone performed such a survey, they would find that the larger shoe sizes correlate with better reading ability, but this does not mean large feet cause good reading skills. Instead it's caused by the fact that young children have small feet and have not yet (or only recently) been taught to read. In this case, the two variables are more accurately correlated with a third: age.
The part age plays in this example is known as a "confounding variable" or "confounding factor," and is something that is not being controlled for in the experiment. In this case, age influences both reading ability and shoe size quite directly. A confounding variable can be what the actual cause of a correlation is, hence any studies must take these into account and find ways of dealing with them, usually by searching them out and trying to alter this variable directly.
The most common method to control confounding variables is with controlled studies. In these studies, the differences between the observations and the control group are minimised as best as possible, so that one can be more confident that a correlation is a valid indicator of causation. This is extremely important in compensating for the placebo effect in medical trials, but it is also important in other branches of science. In the age/shoe-size/reading-ability example, a controlled experiment would look for a correlation between reading ability and shoe size given a sample of people all the same age - or alternatively the hypothesis could be further tested by correlating age and reading ability given a sample of similar shoe size.
Pretty sure a stone wall has a greater ability to reason and use logic that the OP.
Correlation does not imply causation. You've been told this over and over, but you refuse to rise above your ignorance. Instead you seem to come here to celebrate it and try to convince everyone "science and logic" it's wrong and you're right. It's pretty funny actually, except for the fact that you have a badge and a gun.
Two events can consistently correlate with each other but not have any causal relationship. An example is the relationship between reading ability and shoe size across the whole population of the United States. If someone performed such a survey, they would find that the larger shoe sizes correlate with better reading ability, but this does not mean large feet cause good reading skills. Instead it's caused by the fact that young children have small feet and have not yet (or only recently) been taught to read. In this case, the two variables are more accurately correlated with a third: age.
The part age plays in this example is known as a "confounding variable" or "confounding factor," and is something that is not being controlled for in the experiment. In this case, age influences both reading ability and shoe size quite directly. A confounding variable can be what the actual cause of a correlation is, hence any studies must take these into account and find ways of dealing with them, usually by searching them out and trying to alter this variable directly.
The most common method to control confounding variables is with controlled studies. In these studies, the differences between the observations and the control group are minimised as best as possible, so that one can be more confident that a correlation is a valid indicator of causation. This is extremely important in compensating for the placebo effect in medical trials, but it is also important in other branches of science. In the age/shoe-size/reading-ability example, a controlled experiment would look for a correlation between reading ability and shoe size given a sample of people all the same age - or alternatively the hypothesis could be further tested by correlating age and reading ability given a sample of similar shoe size.
The OP is not interested in reading that. It's only aim is to give all cops a bad name.
I'm sure there are people committing crimes while under the influence of alcohol right this moment. You don't see other people making random threads to highlight these occurrences.
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