More from Learning @ Prakash
~ Dollar Index closed above 93 , which is not good for EMs
~ For further weakness you have close below EMA-9
~ Their is 30 % probability you will test EMA-21 before 6th Oct
~ 2 big macro triggers , Crude & Dollar Index
~ Review daily , no fix view
Means Monday gap down ?— Nirav S. Karia (@caniravkaria) September 18, 2021
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1. What type of Security you use in your Home Network?
2. What you know about global information Security policy or Information Security
policy in the organisation / Does your organisation have a security policy ?
say yes – then make sure you have read it because they might ask you leading
question from there.
3. Differentiate between Vulnerability, Threat and Risk and give any real life analogy?
4. How you Secure you Windows and Linux Server ?
5. What is the difference between filter and blocked ports ?
6. What ports does Ping uses ?
7. Why it is important to monitor DNS ?
8. What is the difference between MD5 , SHA1 and AES ?
9. If you have to store a password in the database how will you store it ?
10. What is a salt in Security?
But—*but*—the blowback on Warren is useful as a reminder that facts, science, and really truth of any kind is now anathema to the GOP.
2/ If you're online trying to convince a Trumpist of *anything*—I mean *anything*—stop right now.
The Trumpists' reaction to Warren's DNA test—a cacophony of fact-free insanity about race and DNA and even just *the bare facts of what happened*—tells you you're wasting your time.
3/ I don't see the point in baiting Trumpists, or insulting them, or calling attention to their madness on a daily basis. These people are fundamentally unserious about truth, discourse, and anything resembling a community of ideas. So:
1) Ignore them—completely.
4/ I don't always live up to that standard, but I'm *trying*. I'm *trying* to ignore as beneath dialogic significance those who say "most people" have Native American ancestry, or who can't read basic studies to understand Warren's DNA test, or who say Trump never made a bet, &c.
5/ Trump wants to call Warren "Pocahontas" because he's a racist, wants to appeal to racists, and his cult-like following so ignores *everything bad he does* that they think that, had she lied—she didn't—*this* (this!) would be worse than anything Trump has done.
1/ From 2014-17 Whitaker worked for World Patent Marketing—which during his tenure defrauded consumers out of $26 million and was successfully prosecuted by the feds. His involvement in the scam confirmed he had loose morals and that the feds would never want to employ him again.
2/ Despite the seeming impossibility of a man with Whitaker's background getting a job at Justice ever again—he'd been found to have used his former title as a US attorney to fraudulently threaten consumers with valid complaints with criminal penalties—Whitaker found an opening.
3/ Within 60 days of parachuting out of World Patent Marketing as it was being fined $26 million by the feds, Whitaker was working for CNN and telling a fellow attorney panelist that his purpose in working for CNN was to get noticed by one man—Donald Trump—and thereby get a job.
4/ Whitaker spent his time at CNN making ludicrous statements about the Mueller probe: there was no obstruction or collusion, he said; Mueller had no authority to look into any aspect of Trump's finances or to subpoena him, he said. All the while, he hoped Trump was watching him.
As a dean of a major academic institution, I could not have said this. But I will now. Requiring such statements in applications for appointments and promotions is an affront to academic freedom, and diminishes the true value of diversity, equity of inclusion by trivializing it. https://t.co/NfcI5VLODi— Jeffrey Flier (@jflier) November 10, 2018
We know that elite institutions like the one Flier was in (partial) charge of rely on irrelevant status markers like private school education, whiteness, legacy, and ability to charm an old white guy at an interview.
Harvard's discriminatory policies are becoming increasingly well known, across the political spectrum (see, e.g., the recent lawsuit on discrimination against East Asian applications.)
It's refreshing to hear a senior administrator admits to personally opposing policies that attempt to remedy these basic flaws. These are flaws that harm his institution's ability to do cutting-edge research and to serve the public.
Harvard is being eclipsed by institutions that have different ideas about how to run a 21st Century institution. Stanford, for one; the UC system; the "public Ivys".
these have been sold as a way to stop infection as though this were science.
this was never true and that fact was known and knowable.
above is the plot of social restriction and NPI vs total death per million. there is 0 R2. this means that the variables play no role in explaining one another.
we can see this same relationship between NPI and all cause deaths.
this is devastating to the case for NPI.
clearly, correlation is not proof of causality, but a total lack of correlation IS proof that there was no material causality.
barring massive and implausible coincidence, it's essentially impossible to cause something and not correlate to it, especially 51 times.
this would seem to pose some very serious questions for those claiming that lockdowns work, those basing policy upon them, and those claiming this is the side of science.
there is no science here nor any data. this is the febrile imaginings of discredited modelers.
this has been clear and obvious from all over the world since the beginning and had been proven so clearly by may that it's hard to imagine anyone who is actually conversant with the data still believing in these responses.
everyone got the same R
this methodology is a little complex, so let me explain what i did.— el gato malo (@boriquagato) May 30, 2020
a few EU countries provide real day of death data. this lets us plot meaningful curves to show rate of disease change.
what struck me is how similar all the curves were.
everyone got the same shape. pic.twitter.com/bN0hILzoSl