- This article contains comments from articles on Black Lives Matter.
These comments are in response to the articles on Black Lives Matter.
Comment #1: Ignatius J.
I have yet to read the entire thing, but I find this work generally important, and interesting, but already I see that there are some more effective statistical methods and terminologies to use in some of the discussions here. Also, in an effort to be taken seriously, you should seek to eliminate editorializing to the extent where you are using hyperbole or rhetorical questions or making false claims (e.g. “Doesn’t everyone know that 70-year-olds are as prone to violence and crime as any other age group?”). This can weaken your argument, simply because it can be misquoted, and it is — for lack of a better word — unprofessional.
I think perhaps some statistical consultation and a more professional tone (perhaps an editor could help) would do wonders. I see that it is also very long, and includes videos. These are unlikely to help the proliferation of this work.
Keep up the good work.
I removed the comment about everyone knowing 70 year olds are prone to violence.
However, you did not say what are the more effective statistical methods and terminologies.
I don’t know what could be more effective than observing the proportion of individuals involved in violent crime — versus their propensity of being killed in police altercations. That is the essence of the argument. I am open to listen to suggestions, but I don’t think there is a more effective analysis than this.
BLM states that it is the percentage of the population that is important — and claim dis-proportionality, but it isn’t. That point is proven from the statistics provided.
And the more important point is that virtually none of this has found its way to the establishment media. We are at a point where some victimization group makes and assertion, and much of the rest of the population is unwilling to ask for evidence. As long as the group is in the victim category, they can make unquestioned assertions. And of course, and contradiction is categorized as “hate.” You either agree with evidence based assertion that are asserted to get political freebies or you are a hateful person. If you disagree, the WOKE mob will call you names, perhaps the Southern Poverty Law Center will begin to track you as a hate group.
As for the inclusion of videos — it’s not necessary for readers to watch every one of them. However, if I find a video that is important to the topic, it’s very difficult for me to not include it in the article.
Comment #2: From Nabumika91
Exposing BLM. It’s about time. Numbers don’t lie
Notice that these numbers are not presented by the established media. Even the smaller media outlets refuse to address the actual numbers. We are repeatedly being told that BLM is legitimate. And furthermore, conservative outlets, that critique BLM, don’t spend much time focusing on the actual numbers. They do point out that black on black violence is by far more of an issue than police violence, they seem disinterested in showing the actual statistics.
This demonstrates an overall pattern I have observed to not present the audience with statistics. For example, income inequality has increased enormously in the US since 1973. We hear this sort of thing written, and stated, but we aren’t shown the actual statistic on how extreme this income inequality has become.
In the IT space, the field of “analytics” is all the rage. Conferences in analytics go on for miles, and the analytics vendors continually promote how it is important to make data-backed decisions and to “see the data.” However, in the public domain, we seem less interested in even showing basic tables of data.
Overall journalists tend to be less comfortable with quantification versus oral explanations, and beyond this referring to anecdotes over broad statistical overviews and analysis. This, along with self-censoring is a major reason that the audience has a difficult time learning what is true.
Comment #3: Ddegnan
So glad i found this!
Im a recent finance grad & financial analyst working on the data used to fuel BLM and subsequently rioters. One major analytic im focusing on is the population curve disparity between races. Whites have a MUCH larger older population relative to their younger. The opposite is true for blacks and almost all other minorities in US distinct characteristics such as tendency to be involved in criminal acts, violence, as well as lower income, are all associated with younger populations. So to compare percentages between races with opposite population curves does not seem logical. Locating accurate data (as raw as possible) is a huge hurdle, any tips where to find good data would be very much appreciated.
That is a great point. Obviously, if your population is younger, then the overall population will skew towards behaviors that are representative of that age group. This would also be like saying that Florida has a very sick population because they use so many health care services per capita. Yet no one thinks this. Florida is known to be where people retire. And older people consume a very large amount of health care services, with around 50% of health care costs being consumed in the last 2 years of someone’s life.
Although, I also think I need to note, that the average Hispanic age is even younger than the black population in the US, with the last time I observed, Hispanics in the US had an average age of eleven! Just imagine how high the fertility rate has to be for an average age to be eleven. However, Hispanics, even with a significantly younger age than blacks (which I think is 26) are not close to blacks in their involvement in violent crime.
So the average age difference explains some of the differences, but not all of the differences.
Would You Like to Comment and Have it Added to This Thread?
Just provide your comment in the chatbox in the lower left of this screen.