Wring:
I don’t understand what you are trying to argue. Are you trying to say that we can’t say anything about the demographics of crime and criminals?
We can say a lot. One of your major concerns seems to be about profiling going on by police. In fact, in 1988 Levitt studied this very issue, in a paper entitled “The Impact of Race on Policing, Arrest Patterns, and Crime.”
You seem to have several other objections as well, relating to uncertainty, i.e. how many convicted criminals did more than one crime, what percentage of crimes are unreported, etc etc.
You act as if these are insurmountable barriers to attaining a reasonable statement and stance about Demographics and crime.
They’re not.
Statistical and economic tools are well up to the task. For example, we have much more than imprisonment rates. We have victimization rates, geographical breakdowns, arrest rates, poverty levels, geographic demographics etc, etc. that can be combined and analyzed. An error bar always exists of course, but the statistical certainty can be controlled.
All this is really unnecessary though. If you simply go to the FBI’s site for uniform crime statistics, you can look at the raw data yourself in a number of different ways. Whether you are looking at arrest rates, conviction rates, victimization rates, reported crime rates, prison demographics, or what have you, you find black people are disproportionately represented. For example, in New Jersey for the period of 1996-2002 the number of black people arrested was 5 times the number of white people, though black people represent only a minority of the population in that state. This holds true across the board in prison population, victimization, etc etc. High areas of black population also have commensurately higher levels of crime. These are simply facts. They don’t imply anything, and I don’t see the need to defend them or try to discredit them. They are valid facts available for all to see.
As a matter of fact, I think it is extremely important not to try to sugarcoat this issue, or pretend it doesn’t exist. Levitt’s work demonstrates that this correllation is not a causative one. The correllation vanishes when it is corrected for poverty. What these facts actually tell us about race and crime is this:
Black people have higher crime rates, because they have higher poverty rates. They are disproportionately disadvantaged in this country. The average black person does not start on a level playing field with everybody else. Poverty, wantedness, parents’ education, broken homes, and educational opportunities are the causative factors correlated with criminal behavior. Black people suffer from these disproportionately to the rest of the country because of a legacy of prejudice and discrimination.
The higher crime rate among black people is not an indictment of black people. It is an indictment of the country and the society that discriminates against them and leaves them disadvantaged to this day.
To say that the higher crime rate does not exist is, in fact, to say, that the disadvantages, discrimination and other causative effects do not exist.
In the study of crime rates, race and abortion by Levitt, which is the subject of this thread, what Levitt uses as his crime rate are homicide convictions. He uses these because he has already demonstrated statistically in past studies that homicide convictions are a good indicator for crime rates in general with high correllation across the board.
He is able to refine his statistical analysis further with his previously cited work on policing arrest patterns and crime. It is true that a black person is more likely to be arrested and convicted than a white person depending on the race of the policeman making the arrrest and demographics of the geographic area in which the crime occurs. Levitt, can and does correct for these and other factors.
In fact there are other factors involved in the sampling that are corrected for that you have not brought up. These are the same standardized techniques used throughout economics and statistics. For example, unemployment figures nationwide are not simply calculated on claims because not all unemployed people seek unemployment insurance. Surveys establish what percentage of unemployed people seek unemployment and once this is established and monitored it can be applied against the number of people that file for unemployment insurance, and the unemployment rate can be established.
Similarly, in the FBIs uniform crime statistic reporting, they do not work on one simmple number. Surveys are conducted to determine what proportion of crimes occur versus what are reported across a variety of different crime types.
So, the statistical numbers are good. They are not perfect. What develops from these numbers is that the crime rates for black people are higher than for white people no matter how you slice it… save one.
If you correct for poverty, the difference in crime rates across the boards vanish.
This is a powerful and respectable piece of statistical work, and I hate to see it attacked mindlessly, because it tells us something very important both about the socioeconomic demographics of this country as relates to to discrimination, and the legacy of slavery, and it tells us something important about the causative effects of crime.
All this, is really besides the point. It looks to me like you are trying to say we can’t say anything substantive about demographics of race and crime. It’s just not true. We can say an awful lot because we have powerful statistical tools that enable us to correct for many error factors.
If you like, we can go into the FBI crime statistics, and a couple of Levitt’s papers and take a look at how he builds his statistical analysis. The fact is, that the poverty level for black people is much much higher than it is for the national average. Because of this, arrest rates, conviction rates, violent crimes, by demographics, reported crimes, victimization rates, and unreported crime rates are also much higher for black people than they are for the national average.
They are higher not by percentage points, but usually by an order of magnitude. The statistical significance of this is much greater than the error bars, and the correllation is simply undeniable.
That’s my general thesis. What I would like to know is if you can be swayed by reasoning along these lines, if it is demonstrated to you.