1,197 karma · joined January 2, 2015
Now, it may turn out that you might want to evaluate an aggregate measure of disadvantage per person, so you can sort people by level-of-disadvantage and apply that first. But that method may be brittle; if you choose the relative weighting of various forms of disadvantage wrong, then you're applying your benefit in a way that deviates from the "true" perfect-information order anyway.
One way of resolving this is to say "we're not going to attempt to apply this benefit in a perfectly Rawlsian order; we're just going to pick a main effect to attack and, while doing less good than a perfect-information solution, will still almost certainly do more good than harm.".
Kids start out as literal as possible all the time, no training necessary. As far as my kids are concerned Amelia Bedelia's a documentary.
My perhaps unreasonable hope for a Facebook killer is just a paid personal archive of your own photos, writings, etc. with the assumption of privacy by default.
Isn't that an oversimplification, though? Governments also use tax cuts to shape behavior.
I have many friends that reported their own direct experiences with sexual harassment and assault. I would actually be pretty shocked if anything like that number had directly experienced violence from immigrants.
In either case, for the people that I observed posting about it, MeToo was not symbolic; it was explicitly grounded in personal experience. But it's possible that the messages propagated differently in different areas of the social network, such that some others viewed it as symbolic.
I suspect that Facebook and Twitter have their own linear algebra models of who is interested in what, and that factors into their choices of what content from your friends makes it into your stream.
After the wave of MeToo posts on Facebook and Twitter had died down, I asked my friends on Facebook to characterize how many MeToo posts they'd seen. Liberals reported seeing far more MeToo posts than conservatives did.
Something I didn't ask about, but have seen after the fact, is that conservatives and liberals seem to have a totally different idea of what MeToo is about. Algorithmic balkanization may have contributed to these differing ideas, and cordoned most of the MeToo-related activity in a liberal cluster of the social graph.
I saw a lot of personal stories of harassment and abuse from my friends. The sheer volume of them was undeniable. I could never say, given the experiences my friends reported, that it was mostly symbolic. Those experiences were very much concrete. It is possible that my particular subset of the social graph is disproportionately affected by sexual harassment and assault, which would affect the validity of any conclusions about the broader society I might draw from what I saw. But, for the subset of the social graph I observed, there is simply no way to call it symbolic.
Paying people to spread misinformation that maintains controversy and doubt (e.g. https://cei.org/ , who also helped maintain doubt surrounding the link between smoking and cancer) is far cheaper than the reckoning that could eventually result from admitting that carbon is a problem.
The ubiquitous assumption that all code should be executed as fast as possible isn't new or Rust-specific but it will be a continuing source of security surprises for the foreseeable future.
*Climate change doesn't count because one side doesn't see it as a threat.
https://www.npr.org/2016/03/31/472567733/avoiding-a-future-c...
https://www.reddit.com/r/EndFPTP/comments/8wz6g3/impartial_a...
This is false; Milgram's work was replicated many times in a variety of settings.
Is there a list of other bindings somewhere? I didn't see one in my admittedly cursory look.
For example, I've heard elsewhere that great programmers possess the skill of being able to decompose large changes into smaller commits, making the code no worse as they go. Having the ability to see the small changes that get you where you want to go corresponds to finding the direction of change that gets you past the saddle point.
Random restart is a standard tool in the kit of stochastic gradient descent. But if local minima are rare, it may be overused. You don't have to rewrite your code if you can see the refactors and gradual improvements that get you where you need to go.
For each letter, we can build a histogram of contexts that letter occurs in for a sufficiently large corpus. An example is the letter "o", whose occurrences in the previous sentence have the following contexts: f_r (twice), t_g, c_n, _c, c_r.
Each letter's context histograms have some similarity with each other letter's. We want different letters that have similar contexts to have widely differing appearances, because if their appearances were similar, their contexts will be of less help to the reader in disambiguating. And letters with sufficiently different contexts may be allowed to be more similar in appearance (note e.g. the archaic long "s", which despite visual ſimilarity to "f" is easily distinguished from it by the different contexts it appears in).