So your hypothesis is that considering only school shootings, you can prove that they are not random events lets say at 95%. Care to make the case using science rather then just waving your hands?
My argument is that something other than time distribution is a much better way to see that they're connected. They may be randomly distributed through time, or not, but they're clearly not randomly selected from the set of all possible mayhem activities.
Nope. It is both. From dictionary.com "ton" entry:
"7. Informal a. A large extent, amount, or number. Often used in the plural: has a ton of work; gets tons of fan mail."
Also, please provide a reference.
Since you asked politely, here's one. Manhattan, which I don't consider an "inner city slum" had 88 homicides in 2005, 102 in 2006, 68 in 2007, 62 in 2008, etc.
That's comparable to Ireland, Switcherland, Denmark, Austria, countries of 3 to 6 times the population of Manhattan (1.6), and 3 to 4 times the percentage of murders in Germany (adjusted for the 80 million population).
You just compared full countries to a densely populated city which is surrounded by Burroughs with notorious ghettos (in parts of the Bronx, Harlem, Brooklyn, Queens and in New Jersey).
Not only that, but Manhattan is the entertainment center for the surrounding Burroughs and cities, where a lot of violence happens.
This is true in Toronto as well, our "club district" has one of the highest murder rates from people visiting who don't live in the club district.
I don't think Manhattan makes a fair comparison and doesn't disprove the OP's comment.
The auther does a horrible job. He takes it as an assumption that the reader doesn't know statistics, and when he gets to the actual meat he just states as fact, "i calculate k=32.5 m/j" " what does this mean? It means I'm right" he should as a minimum either assume completely that the reader knows everything nessesary to interpret the hypothesis test or actually make an effort to explain to layman what the p-value means.
