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Coinbase sees a lot of motivated attackers, it’s one of the things that makes working in security at Coinbase so interesting. Addendum to the 'Microsoft is replacing the password' article
modified 1-May-17 21:35pm.
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Why does the link go to an InfoWorld article about YAJSF (yet another JS framework) ?
Software rusts. Simon Stephenson, ca 1994. So does this signature. me, 2012
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Prolly because I need a nap. Fixing. (And thank you)
TTFN - Kent
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"Invisible Manipulators of Your Mind" by Tamsin Shah, New York Review, 04/27/17 [^] Quote: In 2007, and again in 2008, Kahneman gave a masterclass in “Thinking About Thinking” to, among others, Jeff Bezos (the founder of Amazon), Larry Page (Google), Sergey Brin (Google), Nathan Myhrvold (Microsoft), Sean Parker (Facebook), Elon Musk (SpaceX, Tesla), Evan Williams (Twitter), and Jimmy Wales (Wikipedia).3 At the 2008 meeting, Richard Thaler also spoke about nudges, and in the clips we can view online he describes choice architectures that guide people toward specific behaviors but that can be reversed with one click if the subject doesn’t like the outcome. In Kahneman’s talk, however, he tells his assembled audience of Silicon Valley entrepreneurs that “priming”—picking a suitable atmosphere—is one of the most important areas of psychological research, a technique that involves offering people cues unconsciously (for instance flashing smiley faces on a screen at a speed that makes them undetectable) in order to influence their mood and behavior. He insists that there are predictable and coherent associations that can be exploited by this sort of priming. If subjects are unaware of this unconscious influence, the freedom to resist it begins to look more theoretical than real.
Even though Mark Z. wasn't there, you can bet he and the social-teratoma-posing-as-playground-for-screen-addicts he created are no slouch in the manipulation synapse-race as suggested by this very recent story: [^].
They are after us ... all of u$.
p.s. "Thinking, Fast and Slow" by Kahneman (2002 Nobel Prize in Economics) is a humbling read: if you are feeling suicidal, I don't recommend it.
«When I consider my brief span of life, swallowed up in an eternity before and after, the little space I fill, and even can see, engulfed in the infinite immensity of spaces of which I am ignorant, and which know me not, I am frightened, and am astonished at being here rather than there; for there is no reason why here rather than there, now rather than then.» Blaise Pascal
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This was the only biggish problem I found with the Person of Interest show (apart from the fact that it devolved into endless A-Team shoot-fests).
In the Real World, it will happen like it's happening; which was incredibly predictable.
I wanna be a eunuchs developer! Pass me a bread knife!
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A study comparing acceptance rates of contributions from men and women in an open-source software community finds that, overall, women's contributions tend to be accepted more often than men's - but when a woman's gender is identifiable, they are rejected more often. No comment
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I'm sure if they used their best Tinder photo as a gravatar the results would be different.
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So when the men don't know that you're a woman your commit will be accepted, when the men know you're a woman the same commit will not be committed, but when you're a sexy woman your commit will be accepted again.
Results will be different, but it's still biased 
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A response from Dalek Dave, when finding a female member of CP, sticks in my mind like a dagger that I'd like to jab in his eyes.
I wanna be a eunuchs developer! Pass me a bread knife!
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A remember one or two of those and the same thought crosses my mind.
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"Biased study ignores margin of error and finds bias! Footage at eleven."
"There are three kinds of lies: lies, damned lies and statistics."
- Benjamin Disraeli
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Nathan Minier wrote: Biased study ignores margin of error
[citation required]
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Okiedokie, let's get it from the horse's mouth: Gender differences and bias in open source: pull request acceptance of women versus men [PeerJ]
The study doesn't even define a margin of error, yet somehow I knew that by looking at the provided information. Strange, right?
Oh, and look at that comparative pull requests as sliced by gender. You want to see a bias skew in action, this is it.
"There are three kinds of lies: lies, damned lies and statistics."
- Benjamin Disraeli
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No, I went straight to the methodology and early result portions and read those, and got all the information that I needed, which is plain for you to see as well.
We hypothesized that pull requests made by women are less likely to be accepted than those made by men.
This is a biased hypothesis, because it starts with an assumed result rather than, say, "We hypothesized that pull request acceptance is influenced by gender."
Then there's the first table.
Gender Open Closed Merged Merge Rate 95% Confidence interval
Women 8,216 21,890 111,011 78.7% [78.45%,78.88%]
Men 150,248 591,785 2,181,517 74.6% [74.57%,74.67%]
This acceptance rate difference is noted as "statistically significant" despite the gross disparity in sample sets. This is what cherry-picking looks like.
And every following data set does exactly the same thing; which leads to the derived averages that are compared between two data sets where one is literally 30x larger than the other, with no technique to normalize the difference between the two. And yes, I went back through and actually read this drivel to make sure that was the case.
"There are three kinds of lies: lies, damned lies and statistics."
- Benjamin Disraeli
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Nathan Minier wrote: No, I went straight to the methodology and early result portions and read those, and got all the information that I needed,
clearly not because you went and made a patently false statement about the study.
Nathan Minier wrote: his is a biased hypothesis, because it starts with an assumed result
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That's fair, the second quote is pretty stupid and does not convey what I intended.
Anyway, enjoy your bias.
"There are three kinds of lies: lies, damned lies and statistics."
- Benjamin Disraeli
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Nathan Minier wrote: "Biased study ignores margin of error and finds bias! Footage at eleven."
Hah! Much more eloquent than my reply. I knew I should have scrolled to the next page in the posts before replying.
Marc
Latest Article - Merkle Trees
Learning to code with python is like learning to swim with those little arm floaties. It gives you undeserved confidence and will eventually drown you. - DangerBunny
Artificial intelligence is the only remedy for natural stupidity. - CDP1802
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The researchers found that 78.7 percent of women's pull requests were accepted, compared to 74.6 percent for men.
And that is statistically significant how???
Marc
Latest Article - Merkle Trees
Learning to code with python is like learning to swim with those little arm floaties. It gives you undeserved confidence and will eventually drown you. - DangerBunny
Artificial intelligence is the only remedy for natural stupidity. - CDP1802
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Marc Clifton wrote: And that is statistically significant how???
Because it can be used by the media to beat men in the workplace.. again. 
See so many of these things these days they just go unnoticed now. Latest fad - I'm either too male, too white, too heterosexual, too British, too tall/short/slim/fat..
Now is it bad enough that you let somebody else kick your butts without you trying to do it to each other? Now if we're all talking about the same man, and I think we are... it appears he's got a rather growing collection of our bikes.
modified 31-Aug-21 21:01pm.
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Marc Clifton wrote: And that is statistically significant how???
you could read the study and find out... ?
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The latest Stack Overflow survey confirms what we already knew here at Mozilla: Rust is the most loved language for developers with 73% of users saying they want to keep working with it. Because the two people that use it *really* like it
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Kent Sharkey wrote: Because the two people that use it *really* like it
Or three of the four.
I call this an "IMDB result".
I wanna be a eunuchs developer! Pass me a bread knife!
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MIT’s Computer Science and Artificial Intelligence Lab has figured out a way of measuring walking speed to within 95 and 99 percent accuracy – all without requiring a wearable or other on-body measurement device. Yes, having WiFi everywhere is much more convenient than wearing a Fitbit
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