Gun Stats and Stats Unraveled

Statistics are an interesting tool. They can be very useful and they can be very manipulated. For example, GUNS. Given the Charleston shooting, and three additional shootings this past weekend, gun confiscation is again the agenda. So I looked up some graphs and tables and was saddened, not because of what I found, but because of how the manipulation creates a ‘stupid audience’.

The first and easiest manipulation is the ‘date range’. This is typically used by big pharma as well when attempting to show the success of vaccinations. But it is also a common tool in the gun control agenda.

After looking at graphs, the most straight forward analysis was provided by the FBI. In this chart, violent crime rates are at about the same level they were in 1970. The peak for all firearm and violent crimes occurred in 1993 (see chart below). In general, all crime escalation began in the mid 1960’s, ramping up significantly as it tripled by 1993, before slowly subsiding to the same levels in 1969. So, what changed in the 1960’s to precipitate this trend?

There are a number of interesting distinguishing events:

  1. Race became a tenuous and tension driven agenda,
  2. Drugs became rampant; PCP, heroin, LSD etc…
  3. Freedom from virtually every ideal of authority was the new rule,
  4. Religion was mocked and the rise of atheism took over
  5. Women left their children to be raised at the hands of the state – daycare

The ‘change’ that took place can be summed up to be a society without morals, without ethics, without parenting, thriving on anger and self righteousness. Instead of looking at the root causes of chaos, we are playing a game of statistical manipulation.

We have become a sad commentary of deception as the norm. The three shootings this past weekend are not given a race profile in the media because it is not politically correct. Dolezal pretended to be something she was not, but instead of focusing on her sickness in being a pathological liar, the focus was on racial ‘identity’. It wasn’t about race really, for her, it was about a psychosis that came down to her even challenging whether her parents were her ‘real parents’.

Back to statistics: In contrast to crime stats, according to a Gallup poll, gun ownership has remained relatively constant during this same time frame. Gun ownership and crime have the least correlation of all the statistics. One statistic whose chart has a fairly equal correlation for this same time period is divorce rates. Another chart with an identical graph is the number of juvenile murder rates. Neither poverty rates or unemployment rates followed the crime graph.

Another statistical faux pas is the number of individuals shot by police. You see, the statistical chance of getting shot by a policeman is just a tad bit higher than a person dying from smoking in bed which was just a rung higher from the rate of death from ‘falling out of bed’. In fact, out of the top 36 causes of death, getting shot by a policeman ranked 30th. The number ONE cause of death every day was by – abortion. It dwarfed every other number. Statistic: death by abortion – 489,900 to date 2015, by a cop – 495.

Bottom line, statistics can be helpful if the measurement is logically based. But they can also grossly misrepresent logic with just a pinch of manipulation. Case in point: Polio peaked in 1953 and tumbled 75% by 1957.  The first vaccine was found to actually cause polio and was immediately taken off the market.  The second vaccine began human ‘trials’ around 1955.  But the graph is pretty telling when the date range is expanded.  Still, many within the media and medical community would have us believe that the vaccine eliminated polio whereas we can clearly see that once the vaccine became approved for use, polio had already achieved dramatic declines.

Polio Cases 1950 to 2003

Playing with statistics is a dnagerous game.  It is a manipulation of opinion, thought and truth.  Don’t be deceived, look at who is providing the statistic – do they have an agenda – how far back do they expand the data.  The tale may be quite different!

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