No, I'm pretty sure can't figure out how to do a 5 sec google search is completely consistent with trying to call a few pages a very long paper (or more likely never seen the paper at that point despite all sort of grand pronouncements about it), and pretty much everything else you do.
"All you can do is google"..."you cant even google"
huh?
No, my argument is that pretty much everything out of you is pure comedy. Like parroting basic math claims you still can't possibly grasp as evidence that "discredits" anything, or it takes a statistician to figure out how said math works.
If a you have a study that finds 600k over 3 years, and then you have another study over 8 years that finds 400k, someone messed up somewhere. Which one do you think is wrong, or do you think those are somehow the same?
Also, what "basic math claim" have I gotten wrong? This is a thing you like to do. Claim someone is stupid and has gotten something wrong. How or why is never needed, just the claim. When you are presented with data, you dismiss the person instead of explaining why the data is wrong. My guess is that you find science and arguments too hard.
And much as it might
seem to someone who has zero clue, no he hasn't, unless he's been inventing some new math.
"I have looked a little bit at just the time period that was covered by the Burnham et al. 2006 study that had found 600,000 violent deaths. The Hagopian et al. data will come in at around 100,000 deaths for that same time period. So there is a factor-of-six discrepancy between the two. To say these are consistent with each other is really farfetched.
Comparing the way the Hagopian et al. survey has been presented, and the way the
Roberts et al. 2004 Lancet survey was presented is also interesting. In both cases you have a central estimate of excess deaths with almost comical uncertainty surrounding it. For Roberts et al. this was an estimate of 98,000 with a confidence interval of 8,000 to 194,000. Then there is a public relations campaign that erases the uncertainty, leaving behind just the central estimate - 100,000 for Roberts et al. and 400,000 for Hagopian et al. Finally, the central
estimate is promoted as a sort of minimum, with the “likely” number being even higher than their central estimate. Actually, Hagopian et al. went one step further, inflating up by another 100,000 before declaring a minimum of 500,000."
He is qualified to look at the math, which makes whatever claims you're parroting all the more disingenuous, and desperately publishing in unrelated journals just like all those climate deniers rather confirms this.
Good, so he is qualified. So why then did he say this?
"I have looked a little bit at just the time period that was covered by the Burnham et al. 2006 study that had found 600,000 violent deaths. The Hagopian et al. data will come in at around 100,000 deaths for that same time period. So there is a factor-of-six discrepancy between the two. To say these are consistent with each other is really farfetched.
Comparing the way the Hagopian et al. survey has been presented, and the way the
Roberts et al. 2004 Lancet survey was presented is also interesting. In both cases you have a central estimate of excess deaths with almost comical uncertainty surrounding it. For Roberts et al. this was an estimate of 98,000 with a confidence interval of 8,000 to 194,000. Then there is a public relations campaign that erases the uncertainty, leaving behind just the central estimate - 100,000 for Roberts et al. and 400,000 for Hagopian et al. Finally, the central
estimate is promoted as a sort of minimum, with the “likely” number being even higher than their central estimate. Actually, Hagopian et al. went one step further, inflating up by another 100,000 before declaring a minimum of 500,000."
That sure looks to be in agreement with my position. Why is it that you cant agree with this professor?
LOL, guess you'll never figure out how confidence intervals work, and neither does he, though it appears for differing reasons.
Understanding and using are two different things. Confidence intervals simply mean that the numbers from these surveys have a probability of x for falling within a set range.
Wait, is your argument that because the Lancet had a 95% CI of their 654,965 excess deaths falling between 392,979 and 942,636 over 3 years and the PLOS finding 405,000 95% CI excess deaths between 48,000-751,000 over 8 years is the same because 405,000 falls between 392,979 and 942,636 and 654,965 falls between 48,000 and 751,000? I would hope not, because those are for different time ranges.
Why can you not admit that your claim of all studies agreeing on excess violent deaths is wrong?