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Monthly Archives: June 2020

Police Departments Are Not Racist “Facts Speak Against The Lie”…..by, Michael Hawke

29 Monday Jun 2020

Posted by mjpomor in Politics

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Police Racism Lies

June 20,2020
Race Breakdown of Police Departments
Sourced from Police Departments Race and Ethnicity Demographic Data…”www.governing.gov” .

I am pretty certain that most democrats, as well as those influenced by the racist bating claims of the radical left, will not read the following statistics or go to the referenced site for even more detailed evidence showing there are no systematically racist, or racially prejudiced, police departments in the United States.

There are, no doubt, a small number of bad cops, some of whom may be racist, but 98-99% of the cops serving our nation are honorable and good. They get up every day and go to work in one of the toughest jobs out there to keep our cities and communities safe. The police departments across America, and especially the big city departments, which have been run by democrat governments the past fifty years or more are integrated from the top down. The claims of “systematic racism” in these departments is simply a lie.

Chicago, Illinois– Democrats run city.
Mayor: Black Female, Dem
Police Chief: Black Male
Deputy Chief: White Male
Police Force: W 52.1%, B 24.7%, H 18.8%, A .03%
City Population: W 32.0%, B 31.3%, H 29.1%, A 5.8%

Detroit, Michigan-Democrats run city.
Mayor: White Male, Dem
Police Chief: Black Male
Deputy Chief: Black Male
Police Force: B 63%, W 34%, H 2%
City Population: B 80.7%, W 8.5%, H 7.5%, A 1.3%

Toledo, Ohio-Democrats run city.
Mayor: White Male, Dem
Police Chief: White
Deputy Chief: White
Police Force: W 72.5%, B 16.6%, H 7.8% A 1%
City Population: W 61.1%, B 26.4%, H 7.8%, A 1.1%

Cleveland, Ohio– Democrats run city.
Mayor: White Male, Dem
Police Chief: Black Male
Deputy Chief: White Male
Police Force: W 64.2%, B 26%, H 8.9%, A 1.0%
City Population: W 34.3%, B 50.9%, H 10.5%, A 1.7%

New York, New York– Democrats run city.
Mayor: White Male, Dem
Police Chief: Black Male
Deputy Chief: White Male
Police Force: W 52.2%, H 26.1%, B 16.1%, A 5.5%
City Population: W 32.9, H 28.8%, B 22.6%, A 13.1%

Los Angeles, CA – Democrats run city.
Mayor: White Male, Dem
Police Chief: White Male
Deputy Chief: Hispanic Male
Police Force: H 44.6%, W 34.1%, B 11.2%, A 9.6%
City Population: H 48.6, W 28.5%, A 11.3%, B 8.8%

San Francisco, CA-Democrats run city.
Mayor: Black Female, Dem
Police Chief: Asian Female
Deputy Chief: Black Male
Police Force: W 52.4%, A 22%, H 15.7%, B 9.0%
City Population: W 41.6%, A 33.1% H 15.3%, B 5.5%,

San Diego, C A– Democrats run city.
Mayor: White Male, Dem
Police Chief: White Male
Deputy Chief: Hispanic Male
Police Force: W 65.7%, H 19.6%, B 6.5%, A 4.3%
City Population: W 43.3%, H 29.9%, A 16.5%, B 6.4%

Baltimore, MD– Democrats run city.
Mayor: Black Mayor, Dem
Police Chief: Black Male
Deputy Chief: White Male
Police Force: W 50.7%, B 40.3%, H 7.1%, A 1.6%
City Population: W 28.1%, 62.5%, H 4.5%, A 2.4%

Minneapolis, MN– Democrats run city.
Mayor: White Male, Dem
Police Chief: Black Male
Deputy Chief: Black Male
Police Force: W 79%, B 8.8%, H 4.4%, A 5.2%
City Population: W 60.8%, B 17.7% H 10.1%, A 5.8%

Seattle, WA– Democrats run city.
Mayor: White Female, Dem
Police Chief: Black Female
Deputy Chief: Black Male
Police Force: W 75.3%, A 8.6%, B 8.6%, H 5.2%
City Population: W 66.0% A 13.9%, B 7.5%, A 13.9%

Boston MA– Democrats run city.
Mayor: White Male, Dem
Police Chief: Black Male
Deputy Chief: White Male
Police Force: W 65.5%, B 23.9%, H 8.3%, A 2.4%
City Population: W 46.1%, B 22.5%, H 18.5% A 9.1%

Memphis, TN– Democrats run city.
Mayor: White Male, Dem
Police Chief: Black Male
Deputy Chief: Black Female
Police Force: B 50.7%, W 48.1%, H 1.3%, A 0.0%
City Population: B 62.9%, W 27.0%, H 6.7% A 1.8%

Dallas, TX– Democrats run city.
Mayor: Black Male, Dem
Police Chief: Black Male
Deputy Chief: Hispanic Male
Police Force: W 53.8%, B 25.3%, H 18.4%, A 1.8%
City Population: W 29.4%, B 24.3%, H 41.8%, A 2.9%

Houston, TX-Democrats run city.
Mayor: Black Male, Dem
Police Chief: Hispanic Male
Deputy Chief: White Male
Police Force: W 45.1%, H 25.3%, B 22.8%, A 6.0%
City Population: W 25.8%, H 43.8%, B 22.7%, A 6.2%

Atlanta, GA– Democrats run city.
Mayor: Black Female, Dem
Police Chief: Black Male
Deputy Chief: Black Male
Police Force: B 57.9%, W 37.2%, H 3.8%, A 1.0%
City Population: B 52.2%, W 37.4%, H 5.3%, A 3.7%

Miami, FL– Republican run city.
Mayor: Hispanic Mayor, Rep
Police Chief: Hispanic Male
Deputy Chief: Hispanic Male
Police Force: H 55.9%, B 32.8%, W 10.5%, A 1.0%
City Population: H 70.3%, B 16.9%, W 11.3%, A 0.9%

Phoenix, AZ-Democrats run city.
Mayor: White Female, Dem
Police Chief: Black Female
Deputy Chief: White Male
Police Force: W 76.6%, H 14.8%, B 3.9%, A 1.9%
City Population: W 46.0%, H 40.6%, B 6.5%, A 3.2

New Orleans– Democrats run city.
Mayor: Black Female, Dem
Police Chief: Black Male
Deputy Chief: Black Male
Police Force: B 58.2%, W 38.5%, H 11.9%, A 1.0%
City Population: B 59.4%, W 30.7%, H 5.4%, A 3.0%

Racism in America 2020 Facts: Resourced by Michael Hawke

14 Sunday Jun 2020

Posted by mjpomor in Political Science

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Race Facts

Life
Published: July 22, 2019
THE TRUTH BEHIND RACIAL DISPARITIES IN FATAL POLICE SHOOTINGS
Contact(s): Caroline Brooks, Joseph Cesario
Reports of racially motivated, fatal shootings by police officers have garnered extensive public attention and sparked activism across the nation. New research from Michigan State University and University of Maryland reveals findings that flip many of these reports on their heads – white police officers are not more likely to have shot minority citizens than non-white officers.
“Until now, there’s never been a systematic, nationwide study to determine the characteristics of police involved in fatal officer-involved shootings,” said Joseph Cesario, co-author and professor of psychology at MSU. “There are so many examples of people saying that when black citizens are shot by police, it’s white officers shooting them. In fact, our findings show no support that black citizens are more likely to be shot by white officers.”
The findings – published in Proceedings of the National Academy of Sciences, or PNAS – are based on an independent database Cesario and his team created that catalogued each police shooting from 2015. The team – led also by co-author David Johnson from University of Maryland – contacted every police department that had a fatal police shooting to get the race, sex and years of experience for every officer involved in each incident. The team also leveraged data from police shooting databases by The Washington Post and The Guardian.
“We found that the race of the officer doesn’t matter when it comes to predicting whether black or white citizens are shot,” Cesario said. “If anything, black citizens are more likely to have been shot by black officers, but this is because black officers are drawn from the same population that they police. So, the more black citizens there are in a community, the more black police officers there are.”
The data show that it’s not racial bias on behalf of white officers relative to black officers when it comes to fatal shootings, and that’s good news. The bad news, Cesario said, is that internal policy changes, such as diversifying police forces, may not reduce shootings of minority citizens.
Beyond officer race, the team drew other conclusions about details related to racial disparities in fatal officer shootings.
“Many people ask whether black or white citizens are more likely to be shot and why. We found that violent crime rates are the driving force behind fatal shootings,” Cesario said. “Our data show that the rate of crime by each racial group correlates with the likelihood of citizens from that racial group being shot. If you live in a county that has a lot of white people committing crimes, white people are more likely to be shot. If you live in a county that has a lot of black people committing crimes, black people are more likely to be shot. It is the best predictor we have of fatal police shootings.”
By connecting the findings of police officer race, victim race and crime rates, the research suggests that the best way to understand police shootings isn’t racial bias of the police officer; rather, by the exposure to police officers through crime.
The vast majority – between 90% and 95% – of the civilians shot by officers were actively attacking police or other citizens when they were shot. Ninety percent also were armed with a weapon when they were shot. The horrific cases of accidental shootings, like mistaking a cell phone for a gun, are rare, Cesario said.
“We hear about the really horrendous and tragic cases of police shootings for a reason: they’re awful cases, they have major implications for police-community relations and so they should get attention,” Cesario said. “But, this ends up skewing perceptions about police shootings and leads people to believe that all fatal shootings are similar to the ones we hear about. That’s just not the case.”
One thing that was surprising to the researchers, Cesario said, were the number of mental health cases that resulted in fatal officer shootings.
“It was truly striking and we didn’t recognize just how many there were,” he said. “This shows how underappreciated mental health is in the national discussion of fatal officer shootings.”
Nearly 50% of all fatal shootings involving white civilians were because of mental health; it also accounted for nearly 20% of black civilians and 30% of Hispanics. These included two types of mental health cases: the first was “suicide by cop,” in which civilians intentionally antagonize the police because they want an officer to kill themselves; the second was a result of mental disorders, such as when a civilian is suffering from schizophrenia and poses a threat to officers.
Although white officers are not more likely than black officers to shoot black citizens when looking at all fatal shootings, the data are too uncertain to draw firm conclusions once different subtypes of shootings, such as shootings of unarmed citizens, are examined. This is because these types of shootings are too rare for strong conclusions to be drawn.
Cesario said that better record keeping – such as the FBI’s National Use-of-Force Data Collection, which launched in 2019 – will enable researchers to understand police shootings in finer detail.
Hear more from Cesario on the Manifold podcast.
(Note for media: Please include a link to the original paper in online coverage: https://www.pnas.org/content/early/2019/07/16/1903856116)

“Step 2: Clocks, part 1″…. by TheGideonLion

12 Friday Jun 2020

Posted by mjpomor in Motivation

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Imagine, if you will, long ago — the moment when humankind first started to become aware of its surroundings on a deeper level. Who was that first curious, inspired human to look up to the sky and make sense of the patterns? The sun’s path, the moon’s shapes, repeating. Two pieces, intertwined, marking time — clocks!
In an epoch without internet to pass the days and nights in entertainment and diversion, Man observed the movements of the sun and moon, day after day, night after night, taking note, memorizing. Our YouTube was his waxing crescent, our Netflix his sun at the vernal equinox. A perfectly full moon must have been seen as an object of awe — so much so that as a group they would have stayed up all night in revelry (by a crackling bonfire, perhaps?), which surely meant they were too exhausted to rouse the following day until the sun was already high in the sky. The first formal rest day in human history! Then it was back to work — gathering, building, the daily grind. It would be many suns rising and setting, and its light on the moon incrementally waning and waxing again, until the next night of revelry, and the next rest day — about 28 or 29 or even 30 suns in a row! That’s a long haul! How they must have anticipated that special night and the following day of rest. Surely only once per moon cycle is not enough! And it wasn’t. At some point, someone clever must have proposed, “And what of the full moon’s opposite — when there is no light on the moon and it appears fully dark? Certainly there must be auspice in that! Another, albeit lesser, night of revelry? Indeed! And the following day, another rest day!” And so it was, two nights of revelry per moon cycle, about 14 suns separating the full moon from the new moon. And again in time, someone clever — a union of workers, lobbying perhaps? — must have proposed, “And what of the perfect half-moons? Are they not auspicious as well?” “Certainly,” the leaders in time must have concluded, “on the night of the waning half-moon we will revel, as well as on the night of the waxing half-moon, with a rest day to follow each.”
And so it was that the rest days were established from then on — seven suns separating the full moon from the waning half-moon; seven suns separating the waning half-moon from the new moon; seven suns separating the new moon from the waxing half-moon; and seven suns separating the waxing half-moon back to the full moon. One moon cycle. One “month.” And the span of seven suns separating the nights of revelry had come to be called a “week.” And the weekend, the day of rest, four per moon cycle, was called the Sabbath.


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