88
Perky
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so my hospital has a metal detector and security guards checking peeps bags at the main entrance as of this week

wtf

also the rear entrance (also public) doesn't even have a security guard

psyop much?

i only scroll global

does that make me masochist?

#plebster

#asknostr

Probably a result of them being responsible peeps in a broken system

I guarantee if this was enacted then the majority of those folks would own land. And be useful on it.

Big centralized govts doesn’t like land owners, inheritance; essentially, anything that causes you to need it less.

nostr:note1mjyrnd0gq0n3r2ejuqzuuawdttuwmtyrk63g74h3ke0dte7wp5psgh73l4 This. Assuming ignorance seems to be a problem here on Nostr. Especially among the ladies.

Wyner ignores the fact that the people actually killed are reported with different time delays, depending on many circumstances. And even worse: he does so implicitly without an explanation.

He states that “There should be days with twice the average or more and others with half or less.” But why? He gives no reason for this statement. Actually, admits that he does not know: “Unfortunately, verified control data is not available to formally test this conclusion”.

And still, without reliable justification, he claims that “the details of the daily counts render the numbers suspicious.”

If you look at the numbers, it’s very clear that they update fatalities faster than the update #women or #children (and they don’t specify #men, that is just (#fatalities – #women-#children)). On some days fatalities update but there is no change in the #w or #c; on other days the increase in (#w+#c) exceeds the increase in #f.

In other words, in the conditions of war, it is hard to get information. The Gazan Ministry of Health (GMH) makes a list of the name and ID # of every identifiable death; Israel maintains the registry of ID #’s so GMH can’t fake that. That’s why their numbers come out accurate.

But in real time, they may get a number of fatalities from a hospital and get the names, which allow identification of #w or #c, only later, maybe much later. And if they get the list of names, they have to go through the registry to determine who is a child or an adult, and maybe for ambiguous names who is a woman or a man, and that probably takes time too. So #w and #c get updated with arbitrary lags, sometimes multiple days worth may suddenly get updated at once. So looking at day-by-day movements of these #’s is meaningless.

I’ll add two other things. First, he says there is no correlation between increment in #women and increment in #children, just like this gentleman (https://liorpachter.wordpress.com/2024/03/08/a-note-on-how-the-gaza-ministry-of-health-fakes-casualty-numbers) showed that there is no correlation between increment in #fatalities and time. But if you look at the cumulative #women vs the cumulative #children, you get perfect correlation, R^2=0.99 (I checked), just like he finds perfect correlation between cumulative #fatalities and time.

Second, for his day-by-day anticorrelation between women and men: because they don’t specify men, only #w and #c, and because they may update in bunches, when there is an update of a lot of women, it will look like there’s not many men (i.e. change in fatalities – change in (women + children) is small, or even negative). When there’s an update where they don’t know the identities so it looks like there’s no increase in the #women, it will look like there’s a big increase in men – all the fatalities will appear to be men. So that’s why you get an anticorrelation between #women & #men.

Shame on PU for mindlessly repeating propaganda.