Assorted gun and murder rate comparisons
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Brady Rank
MuderRate(per
100,0
00)
Overall the nation is talking about a gun problem. Lets go ahead and assume there is a
gun problem in the US. Further, lets simplify the talk to what has really set this all off: firearm
murders. Specifically the shooting at Newtown.
Let me be clear, that massacre by a lone madman was and will remain a tragedy. The
emotional response should be dramatic when so many children are killed. However, that is a
poor basis for legislation. Legislation should be based on reasonable means to achieve realistic
goals and based on the best information available.
I put forth that gun control does not fit those criteria. And Ill demonstrate that several
ways as we go along.
First, in the debate about gun control there are a lot of numbers and statistics talked
about. Crime rates, murder rates, different states, different countries, different years. There are a
lot of regulations proposed, bans, magazine limits, background checks, tests, training. In an
effort to get something that doesn't require advanced mathematics to understand, I wanted to
compare the amount of gun control in each US state with the murder rate in that state.
Crime data for each state is collected and published by the FBI and murder rates for each state in2011 are available
1. Measuring the overall gun laws of a state would be difficult for one person,
but The Brady Campaign to Prevent Gun Violence ranks each state on the basis of their gun
control laws. Those rankings are available online as well4. By comparing a state's gun control
rank and their murder rate we should be able to see more gun control leading to less murder.
CHART 15
Looking at the chart, which plots the Brady Rank against the Murder Rate, there is no
trend. The points are all over the place. Looking at the numbers themselves 5, the 10 states tied at
39th by Brady Rank have murder rates from 2.5 to 7.5 per 100,000. For comparison, the national
average is 4.71. The data also shows that California, rated best for gun control, has a murder rate
of 4.8, more than double of worst rated Utah's 1.9. Californias murder rate is four times that of
the lowest murder rate (Hawaii, 1.2 per 100,000).
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Brady Rank
MurderRank
In order to have easier numbers to compare I used the murder rate from the FBI Uniform
Crime Report for 2011 to rank each state by murder rate from 1, lowest murder rate, to 50,
highest murder rate6.
CHART 26
If gun control works, better gun control should mean less murder. In that case, the Brady
Rank and the Murder Rank should be similar. This would be seen in the chart as the dots
following some sort of line. Ideally, low Brady Rank (indicating good gun laws) would also
have low Murder Rank (meaning low murder rate). If that were the case, we would see a line
starting in the lower left and sloping upwards to the upper right of the chart. That just isnt what
the data shows. Number one Brady state California is 32nd for murder rate. Dead last Brady state
Utah is seventh best in the nation for murder rate. The Brady Rank and Murder Rank just don't
match up.
If gun control works, it should save lives and reduce crime. If anyone can reliably
evaluate a state's gun control, The Brady Campaign should be able to. If anyone can provide
useful murder rates, the FBI should be able to. Using what should be reliable numbers, a state's
gun control doesn't seem to have any relation to murder rate.
If it doesn't reduce murder, should we be seriously considering gun control?I don't know if gun control has worked for other countries or other times, but I think
comparing gun control ranks and murder rates shows gun control doesn't work now, here.
However, the Brady Rank could be subjective. I dont think so as they use a fairly
specific and detailed scorecard to get their ranking numbers. One of the numbers I see relating
to gun control claims that with increasing gun ownership you get increasing murder. So, we can
plot that as well.
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No relationship. Really, thats scattered all over the place. States with very close gun
ownership have widely varying murder rates. For that to happen gun ownership must not be a
measurable factor in murder rates.
Now, a side foray into some statistics. When two things tend to show up together they
are related and this can be calculated as a correlation. Really all that means is they tend to
happen together (whatever together may be in the data youre talking about). The more one
happens at the same time as the other, the more correlated they are. If they always happentogether that would show high correlation. For the charts above, if the two things we are
interested in are related there would be some kind of line (and maybe not a straight one) or a
pattern. The better the data fits a line the more reliable that is. A measure of how accurately a
line fits the data is the R2 (coefficient of determination). The math to get it is a pain, but most
spreadsheet programs will calculate it for you. R2 ranges from -1 to 1. The closer that value is to
1 or -1, the better your line is for predicting data (the better it fits). The closer to 0 it is, the less
your data fits the trend.
0.000 10.000 20.000 30.000 40.000 50.000 60.000 70.000
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Gun Owner % vs Murder Rate
Gun Ownership %
MurderRateper100,0
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Shall we see what that can look like?
The Brady Rank is the same as before, and so is the Gun Owner %. Even without the line
in there we can see this data is much less scattered. We can also see the R2is .507. This isnt 1
and isnt 0, it is somewhere between. If we really wanted to make a model to predict new data
we could evaluate exactly what that means. We dont need that much detail. For our purposes,
its enough to say that Brady Rank and the percent of homes owning a gun are correlated, though
not perfectly. This isnt terribly surprising. The Brady Rank is based on gun control laws, gun
control laws make getting guns harder, so fewer people own them.
This is a good time to consider another statistical truism: Correlation is not causation.
What this means is that just because two things are related that doesnt mean one causes the
other. Sometimes they have the same cause, sometimes it really just is co-incidence (they happen
to occur together). In this case, it would be unreasonable to claim the Brady Rank causes people
to own or not own guns. However, the Brady Rank is based on gun laws and gun laws would
affect how many people get guns.
While correlation is not causation, causation must have correlation. Basically that
summarizes as two things that are related need not cause each other (one leading to the other),
but if two things do cause each other then they will be related because they are related.
So, does murder rate increase as gun ownership increases?
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0.000
10.000
20.000
30.000
40.000
50.000
60.000
70.000
f(x) = 0.6115180795x + 21.0887814916
R = 0.5074959296
Brady Score vs Gun Measures
Brady Rank
GunOwner%
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Nope. Very low R2, meaning that a line is a bad fit. This data shows no relationship to the
murder rates8. Basically, gun ownership is a bad predictor for murder rate (at least this set of
owner data and the 2011 murder rates).
To be fair the above ownership data came from a website that claimed uscarry.com as the
source of its data. I couldnt find it there and couldnt track it back to an original source. So, I
used another source as well9. Pediatrics is hardly gun friendly so their data should not be
biased in any way favoring less gun control. When plotting their gun ownership % to Murder
Rate for 2011 we get10:
0.000 10.000 20.000 30.000 40.000 50.000 60.000 70.000
0
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f(x) = 0.0142916808x + 3.6684613016
R = 0.0087552909
Gun Owner % vs Murder Rate
Gun Ownership %
MurderRateper100,0
00
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f(x) = 0.0134473364x + 3.6803705151
R = 0.0087186561
pediatrics 2002 ownership data plots
% any houshold firearm
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Not any better. However, the Pediattrics data is from 2002, so let us see that with 2002
murder rates:
Hmmmaybe a years delay, better check 2003.
Not any better. I havent put in trend lines because its obvious that this is too scattered to
be useful. The Pediatrics article included more than just a percent of households with a gun of
any type. They also listed percent of households with loaded guns. Gun control advocates would
likely say thats a pretty dangerous situation and someone could go off the handle and grab a
loaded gun at any time. Thats bound to increase murder, right?
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pediatrics 2002 ownership data plots
% any houshold firearm
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pediatrics 2002 ownership data plots
2003 Murder and nonnegligent
manslaughter rate
% any houshold firearm
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2011 murder rate:
2002
2003
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30
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60f(x) = 1.573638638x + 13.13749486
R = 0.2586434732
LOADED (LOCKED OR UN) IN HOME
brady rank
Linear Regression for brady
rank
% loaded firearm in home
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14f(x) = 0.2429041899x + 2.745744684R = 0.1887040225
LOADED (LOCKED OR UN) IN HOME2002 Murder and nonnegligentmanslaughter rate
Linear Regression for 2002Murder and nonnegligent
manslaughter rate
% loaded firearm in home
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To be fair, it does show a positive slope indicating a trend of higher murder rates in states
with higher percentage of homes containing a loaded firearm. However, the best R2
of .25 is still
not a good fit. Thats being generous; typically Id say thats not a statistically relevant
relationship. There are too many points that vary too much for loaded firearms in the home to be
a good predictor of murder rates. No relation, again.
The Pediatrics data does give some relationships, for instance, across all states, homes
with a loaded firearm correlates to percentage of homes with a loaded and unlocked firearm very
well. Just so we can see what a trend would look like if we had one.
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14f(x) = 0.2555186773x + 2.7506452709
R = 0.2236802841
LOADED (LOCKED OR UN) IN HOME2003 Murder and nonnegligent
manslaughter rate
Linear Regression for 2003
Murder and nonnegligent
manslaughter rate
% loaded firearm in home
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f(x) = 0.6162716111x + 0.0185702232
R = 0.9607340708
LOADED (LOCKED OR UN) IN HOME
Loaded and unlocked
Household Firearm,Linear Regression for Loaded
and unlocked Household
Firearm,
% loaded firearm in home
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Which makes sense. If you have a lot of homes with loaded guns, a number of them are
going to not be locked up (and the relation is remarkably stable across different states and overall
ownership, meaning people will either keep them locked or not without influence from much
anything else. Like gun control laws).
Since we have numbers for the percentage of homes with loaded and unlocked guns and
murder rates, surely having unsecured, loaded firearms relates to higher murder!
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12f(x) = 0.305270748x + 2.7223841645
R = 0.1962320455
2011 murder rate per 100k
Linear Regression for 2011
murder rate per 100k
loaded and unlocked %
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14f(x) = 0.3499209155x + 2.9533843506
R = 0.15480753
2002 Murder and nonnegligent
manslaughter rate
Linear Regression for 2002Murder and nonnegligent
manslaughter rate
loaded and unlocked %
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Wow, no relation again. Some upward slope, but the R2values are low, so its not
reliable. Beginning to look like having guns and even unsecured loaded guns hasnothing to do
with murder.
Since I had the 2011, 2002, and 2003 murder rates for all the states handy, I decided to
take a look at what comparing those would show. Here it is:
2002 vs 2003
2011 vs 2003
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14f(x) = 0.3756419799x + 2.9323799777
R = 0.1911048803
2003 Murder and nonnegligent
manslaughter rate
Linear Regression for 2003
Murder and nonnegligent
manslaughter rate
loaded and unlocked %
0 2 4 6 8 10 12 14
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14f(x) = 0.9326534609x + 0.4174307928
R = 0.9317767528
2003 Murder and nonnegligent
manslaughter rate
Linear Regression for 2003
Murder and nonnegligent
manslaughter rate
2002 murder rate
2003murderrate
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2011 vs 2002
2002 and 2003 murder rates are fair predictors of 2011 murder rates, R2
greater than .8.Whats both interesting and a bit obvious in hindsight is that the 2002 murder rates are very good
predictors of the 2003 rates. What can we conclude? Places that have high murder tend to have
high murder and tend to have high murder rates even a decade later. Same for low murder rate
states. What makes this especially interesting is how much has changed since 2002 and how
different the states are from each other, but the murder trends are pretty stable.
0 2 4 6 8 10 12
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f(x) = 1.1255063227x + 0.0241204066
R = 0.8147415502
2003 Murder and nonnegligent
manslaughter rate
Linear Regression for 2003
Murder and nonnegligent
manslaughter rate
2011 murder rate per 100,000
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0
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f(x) = 1.1719445046x - 0.2751985863
R = 0.824644605
2002 Murder and nonnegligent
manslaughter rateLinear Regression for 2002
Murder and nonnegligent
manslaughter rate
2011 murder rate per 100,000
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Almost like expiration of the Assault Weapon Ban, changes in state laws, increases in
concealed carry, and other changes in gun laws has no relation at all to murder rate.
I am not claiming that more guns means less crime. I dont see that in this data. I also
dont see that less guns means less crime. What I see is that murder rates show no relation over
time or within 2011 to Brady Rank (as a measure of gun control), gun ownership (as reported by
the usliberals.about.com or the Pediatrics data), having loaded guns, or even loaded and
unlocked guns in the home.
One more. I saw it argued that murder was higher in states with no large cities AND
claimed by some that states with large cities have more murder. So, what about murder rates and
population density?
0.013? Thats pretty conclusive that population density isnt the issue.
Now, I do think that this repetitive comparison of different measures with murder rates
makes the argument for gun control as a means to reduce murder essentially disproven. Using
simple data, murder rates, brady ranks, crime rates, and gun owner ranks we can see there is no
trend or pattern. We can give it a number of how good the fit is. Some things do relate, but
nothing about guns here relates to murder.
GUNS DO NOT RELATE TO MURDER
Therefore, regulating guns will not reduce murder. If there is a reduction in murder after
gun regulation it cannot be attributed to the regulations consistently.
One more nail in that coffin, bear with me.
Even if you could showperfectcorrelation between gun ownership and murder rates, that
doesnt mean gun control would reduce murder. Even if the data showed, conclusively, that
states with high murder rates also had high gun ownership and that states with low ownership
always had low murder rates, gun control is still sunk.
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12f(x) = -0.016062425x + 4.6155918367R = 0.0131579775
Population Density vs 2011 Murder Rate
Population density (square miles)
murderrateper100,0
00
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Correlation is not causation, remember? Heres an example:
Suppose that in high murder rate areas, always, there is high gun ownership.
Suppose that in low murder rate areas, always, there is low gun ownership.
Suppose that all in between states for murder rate are also in between for gun ownership.
Now, with that correlation being given, is there a way to explain them where gun control
would be completely ineffective?
How about this: what if people in high murder rate areas are more likely to own guns
because they are in high murder rate states. What if people in low murder rate states are less
likely to own guns precisely because they are in a place with low murder rates?
In that situation changing gun laws do nothing for murder rates, murders are not caused
by gun ownership, gun ownership is caused by murders.
Just what if: guns dont cause crime and death, but crime and death cause people to own
guns to defend themselves with? Wouldnt that turn this whole thing on its head.
People are not entirely random or idiots. Where there is danger, people want to protect
themselves. Guns are the tools for that.Simple thought experiment, apply Occams Razor, what makes more sense:
1. Guns cause crime and make people more violent and deadlyOR
2. Where there is crime, violence, and death, people get themselves a gunFINAL POINT: EVEN IF GUNS AND CRIME / DEATH / MURDER ARE RELATED,
YOU CANNOT CONCLUDE GUNS CAUSE CRIME
If we cannot, even with a perfect correlation between guns and crime, reliably conclude
that guns cause crime, why would regulating guns be an answer to a crime problem?
I thank you for taking the time to read this and consider the numbers. I hope this helps
you make a decision on gun control11.________________
Edward Crowell
PO Box 216
Cedar Rapids, IA 52406
Footnotes:
1. FBI Uniform Crime Report data for 2011 murder rates was downloaded on January 5,2013, fromhttp://www.fbi.gov/about-us/cjis/ucr/crime-in-the-u.s/2011/crime-in-the-u.s.-
2011/tables/table-4
2. Uniform Crime Reporting Statistics - UCR Data Online,http://www.ucrdatatool.gov/.Sources: FBI, Uniform Crime Reports, prepared by the National Archive of Criminal
Justice Data . Date of download: Jan 11 2013.
3. http://www.fbi.gov/about-us/cjis/ucr/crime-in-the-u.s/2011/crime-in-the-u.s.-2011/tables/table-20
http://www.fbi.gov/about-us/cjis/ucr/crime-in-the-u.s/2011/crime-in-the-u.s.-2011/tables/table-4http://www.fbi.gov/about-us/cjis/ucr/crime-in-the-u.s/2011/crime-in-the-u.s.-2011/tables/table-4http://www.fbi.gov/about-us/cjis/ucr/crime-in-the-u.s/2011/crime-in-the-u.s.-2011/tables/table-4http://www.fbi.gov/about-us/cjis/ucr/crime-in-the-u.s/2011/crime-in-the-u.s.-2011/tables/table-4http://www.ucrdatatool.gov/http://www.ucrdatatool.gov/http://www.ucrdatatool.gov/http://www.fbi.gov/about-us/cjis/ucr/crime-in-the-u.s/2011/crime-in-the-u.s.-2011/tables/table-20http://www.fbi.gov/about-us/cjis/ucr/crime-in-the-u.s/2011/crime-in-the-u.s.-2011/tables/table-20http://www.fbi.gov/about-us/cjis/ucr/crime-in-the-u.s/2011/crime-in-the-u.s.-2011/tables/table-20http://www.fbi.gov/about-us/cjis/ucr/crime-in-the-u.s/2011/crime-in-the-u.s.-2011/tables/table-20http://www.fbi.gov/about-us/cjis/ucr/crime-in-the-u.s/2011/crime-in-the-u.s.-2011/tables/table-20http://www.fbi.gov/about-us/cjis/ucr/crime-in-the-u.s/2011/crime-in-the-u.s.-2011/tables/table-20http://www.fbi.gov/about-us/cjis/ucr/crime-in-the-u.s/2011/crime-in-the-u.s.-2011/tables/table-20http://www.ucrdatatool.gov/http://www.fbi.gov/about-us/cjis/ucr/crime-in-the-u.s/2011/crime-in-the-u.s.-2011/tables/table-4http://www.fbi.gov/about-us/cjis/ucr/crime-in-the-u.s/2011/crime-in-the-u.s.-2011/tables/table-4 -
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4. Brady Campaign state rankings were copied from the Brady Campaign reportdownloaded January 5, 2013, from
http://www.bradycampaign.org/xshare/stateleg/scorecard/2011/2011_Brady_Campaign_
State_Scorecard_Rankings.pdf
5. The data used for Chart 1 is below (shown in order of best to worst Brady Rank)State Brady Rank Murder Rate (per 100,000)
California 1 4.8
New Jersey 2 4.3
Massachusetts 3 2.8
New York 4 4
Connecticut 5 3.6
Hawaii 6 1.2
Maryland 7 6.8
Rhode Island 8 1.3
Illinois 9 5.6
Pennsylvania 10 5Michigan 11 6.2
North Carolina 12 5.3
Colorado 15 2.9
Oregon 15 2.1
Washington 15 2.4
Alabama 17 6.3
Minnesota 17 1.4
Delaware 18 4.5
Virginia 19 3.7
Georgia 22 5.6
South Carolina 22 6.8
Tennessee 22 5.8
Iowa 25 1.5
Maine 25 2
Ohio 25 4.4
New Hampshire 27 1.3
Vermont 27 1.3
Nebraska 29 3.6
Nevada 29 5.2
Arkansas 39 5.5
Indiana 39 4.8
Kansas 39 3.8
Mississippi 39 8
Missouri 39 6.1
New Mexico 39 7.5
South Dakota 39 2.5
Texas 39 4.4
West Virginia 39 4.3
http://www.bradycampaign.org/xshare/stateleg/scorecard/2011/2011_Brady_Campaign_State_Scorecard_Rankings.pdfhttp://www.bradycampaign.org/xshare/stateleg/scorecard/2011/2011_Brady_Campaign_State_Scorecard_Rankings.pdfhttp://www.bradycampaign.org/xshare/stateleg/scorecard/2011/2011_Brady_Campaign_State_Scorecard_Rankings.pdfhttp://www.bradycampaign.org/xshare/stateleg/scorecard/2011/2011_Brady_Campaign_State_Scorecard_Rankings.pdfhttp://www.bradycampaign.org/xshare/stateleg/scorecard/2011/2011_Brady_Campaign_State_Scorecard_Rankings.pdf -
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Wyoming 39 3.2
Florida 41 5.2
Wisconsin 41 2.4
Idaho 47 2.3
Kentucky 47 3.5
Louisiana 47 11.2Montana 47 2.8
North Dakota 47 3.5
Oklahoma 47 5.5
Alaska 50 4
Arizona 50 6.2
Utah 50 1.9
The Brady Rankings set states scoring the same as tied at the same rank, using the
lowest number in the tied series as the rank.
6. The data for Chart 2 is below, in order of lowest to highest Murder Rank (1 is lowestmurder rate, 50 is highest).
State Brady Rank Murder Rank
Hawaii 6 1
Rhode Island 8 4
New Hampshire 27 4
Vermont 27 4
Minnesota 17 5
Iowa 25 6
Utah 50 7
Maine 25 8
Oregon 15 9
Idaho 47 10
Washington 15 12
Wisconsin 41 12
South Dakota 39 13
Massachusetts 3 15
Montana 47 15
Colorado 15 16
Wyoming 39 17
Kentucky 47 19
North Dakota 47 19
Connecticut 5 21
Nebraska 29 21
Virginia 19 22
Kansas 39 23
New York 4 25
Alaska 50 25
New Jersey 2 27
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West Virginia 39 27
Ohio 25 29
Texas 39 29
Delaware 18 30
California 1 32
Indiana 39 32Pennsylvania 10 33
Nevada 29 35
Florida 41 35
North Carolina 12 36
Arkansas 39 38
Oklahoma 47 38
Illinois 9 40
Georgia 22 40
Tennessee 22 41
Missouri 39 42
Michigan 11 44
Arizona 50 44
Alabama 17 45
Maryland 7 47
South Carolina 22 47
New Mexico 39 48
Mississippi 39 49
Louisiana 47 50
The Brady Rankings set states scoring the same as tied at the same rank, using the
lowest number in the tied series as the rank. I have done the same for Murder Rank.
7. http://usliberals.about.com/od/Election2012Factors/a/Gun-Owners-As-Percentage-Of-Each-States-Population.htm
8. Data for the chart is below.BRADY RANK GUN OWNER % MURDER RATE
Hawaii 6 6.700 1.2
New Hampshire 27 30.000 1.3
Rhode 8 12.800 1.3
Vermont 27 42.000 1.3
Minnesota 17 41.700 1.4
Iowa 25 42.900 1.5
Utah 50 43.900 1.9
Maine 25 40.500 2
Oregon 15 39.800 2.1
Idaho 47 55.300 2.3
Washington 15 33.100 2.4
Wisconsin 41 44.400 2.4
http://usliberals.about.com/od/Election2012Factors/a/Gun-Owners-As-Percentage-Of-Each-States-Population.htmhttp://usliberals.about.com/od/Election2012Factors/a/Gun-Owners-As-Percentage-Of-Each-States-Population.htmhttp://usliberals.about.com/od/Election2012Factors/a/Gun-Owners-As-Percentage-Of-Each-States-Population.htmhttp://usliberals.about.com/od/Election2012Factors/a/Gun-Owners-As-Percentage-Of-Each-States-Population.htmhttp://usliberals.about.com/od/Election2012Factors/a/Gun-Owners-As-Percentage-Of-Each-States-Population.htmhttp://usliberals.about.com/od/Election2012Factors/a/Gun-Owners-As-Percentage-Of-Each-States-Population.htmhttp://usliberals.about.com/od/Election2012Factors/a/Gun-Owners-As-Percentage-Of-Each-States-Population.htm -
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South Dakota 39 56.600 2.5
Massachusetts 3 12.600 2.8
Montana 47 57.700 2.8
Colorado 15 34.700 2.9
Wyoming 39 59.700 3.2
Kentucky 47 47.700 3.5North Dakota 47 50.700 3.5
Connecticut 5 16.700 3.6
Nebraska 29 38.600 3.6
Virginia 19 35.100 3.7
Kansas 39 42.100 3.8
Alaska 50 57.800 4
New York 4 18.000 4
New Jersey 2 12.300 4.3
West 39 55.400 4.3
Ohio 25 32.400 4.4
Texas 39 35.900 4.4
Delaware 18 25.500 4.5
California 1 21.300 4.8
Indiana 39 39.100 4.8
Pennsylvania 10 34.700 5
Florida 41 24.500 5.2
Nevada 29 33.800 5.2
North Carolina 12 41.300 5.3
Arkansas 39 55.300 5.5
Oklahoma 47 42.900 5.5
Georgia 22 40.300 5.6
Illinois 9 20.200 5.6
Tennessee 22 43.900 5.8
Missouri 39 41.700 6.1
Arizona 50 31.100 6.2
Michigan 11 38.400 6.2
Alabama 17 51.700 6.3
Maryland 7 21.300 6.8
South Carolina 22 42.300 6.8
New Mexico 39 34.800 7.5
Mississippi 39 55.300 8
Louisiana 47 44.100 11.29. http://pediatrics.aappublications.org/cgi/content-nw/full/116/3/e370/10.I have included the actual data for the first charts. I do not for the rest. The data is easily
available and putting the numbers in just adds length without purpose. Anyone wanting
my numbers or any sources not cited can feel free to contact me at
[email protected] Ill provide them.
http://pediatrics.aappublications.org/cgi/content-nw/full/116/3/e370/http://pediatrics.aappublications.org/cgi/content-nw/full/116/3/e370/mailto:[email protected]:[email protected]:[email protected]://pediatrics.aappublications.org/cgi/content-nw/full/116/3/e370/ -
7/30/2019 Assorted gun and murder rate comparisons
18/18
11.In the interest of being thorough, I dont actually find the numbers dispositive. Mydecision is based on the fact that my life has value and I have the right to defend my life
from assault. Self-defense is a right supported even by Ghandi. With the right to self-
defense comes a right to the tools to defend myself. There is no reason to deny me the
best tools for my family and myself. The best tools for stopping violent criminals are the
ones police and military use, which is why they use them. Therefore, I deserve the best
tools to defend myself and my family from assault, be it a lone criminal, gang, mob, riot,
invading army, or domestic tyranny, now or in the future, real or potential.
However, I frequently see numbers used to support gun control so it seemed worthwhile
to dispute those numbers in the simplest way I could conceive. If gun control works at all
like I see claimed, there should be at least some effect on murder rates. There is none.
There is not even a large enough effect directly on firearms murders to show up in the
overall murder rate. I mention this because if gun control even just affected gun murders,
given the large percentage of murders committed with guns, it should be apparent in theoverall murder rate. Again, it is not.
Finally, rights exist against the government. If someone is giving a talk, exercising their
freedom of speech, I can stand around telling them to shut up and yell over them, blast an
air horn, wave around a flag and generally be infringing on the exercise of their right as
all get out. I can kick them right off my property because I dont like what they have to
say. None of which triggers protection of freedom of speech because I am not a
government actor. I have a right to arms, protected from acts of the State. There is no
right to safety, for one. For two, the hazards and fears they claim are not from the
government, theyre from individuals. Between individuals the ruling law of interactionare things like harassment, negligence, assault, battery, wrongful death, reckless
endangerment, that sort of thing. No second amendment action needed unless the State
wants to insert itself.