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Seems to have taken down my router "smart wifi" login page, and there's no backup router-only login option! Brilliant work, linksys....


Happened to lots of commercial routers too (free wifi with sign-in pages in stores for example) and that's way outside us-east-1


Was just on a Lufthansa and then United flight - both of which did not have WiFi. Was wondering if there was something going on at the infrastructure level.


Unfortunately that is also be par for the course


What if they use the same router inside AWS and now they cannot login too?


WiFi login portal (Icomera) on the train I'm on doesn't work either.


Notes from Underground was the book that really pulled me into Dostoevsky (after initially reading C&P and disliking it - I doubtless missed quite a lot the first time through). Definitely in that category for me.


"I am a sick man... I am a spiteful man." A good hook, but I had a tough time finishing Notes. The narrator really shows that yes, he is in fact a sick and spiteful man. Not one I'd want to pick up again.

I got pulled into Dostoyevsky through Brothers K, which led me to Notes eventually.

Do you know what translation of Notes you read? I think I read P&V, and if I read it again I'd want to try something else


I've read Garnett and P&V and personally much prefer the Garnett translation!

A nice comparison: https://web.archive.org/web/20131109182920/http://comparetra...


You might enjoy these notes: http://mlg.eng.cam.ac.uk/teaching/4f13/2122/ They give (I think) a good general overview, while also going a little bit more in-depth in a few areas (e.g., Gaussian Processes).


A measurement being 7 sigma out would still be Chebyshev bounded by 1/7^2 ≈ 0.02 I.e. the probability of it being ≥7 sigma out is interestingly at most 0.02.


Neat i didn't think about that. But that is less improbable then 1 in 12450197393 which is what you might get with normal distribution.


That's just because Chevyshev bounds is a very weak general statement about all distributions.

High Energy Physics sigma is calibrated to match normal distribution quantiles.


That is not so interesting because it could be far less.


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