robryk @robryk@qoto.org

@slavistapl

Strzelam, że większość tych sklepów jest uwzględniona w openstreetmap, ale nie widzę tam za bardzo tagów, które by je wyróżniały (`operator=` niby winien, ale jest bardzo niejasnym jak winien on działać w przypadku franczyz).

Może wartoby stwierdzić, jak rozsądnie oznaczać takie sklepy w OSM i to uczynić z tymi, o których ludzie ci napiszą?

@_thegeoff

Or unless you are in a fog (which iiuc might not be dangerously contaminated) or underwater.

@dgar

So.. confusing correlation and causation is a symptom of some terrible illness? :)

@timorl

So your model of me is afraid of ceilings? :)

@Suiseiseki

I think you are right on limited consequences of a fire. I would expect though that an ignition source should be pretty easy to find in a car accident: the exhaust systems of all involved cars are likely got enough.

@ZachWeinersmith this reminds me of thinking how large a mole of buses would be

@lynne except for electret ones :)

@delroth
Have you seen the hydrogen bottle that the protons are coming from?

@dr2chase @crschmidt @attie

Or they were tired of opposing stupid ideas, so wanted to focus on opposing stupid ideas that have worse consequences.

@cliffordheath @attie

Yeah, they could simply describe a relaxed comparison that would at least free implementations from having to reproduce quantization noise (e.g. pointwise difference between original and decompressed at most 1 everywhere). But if they wanted to ask people not to faithfully reproduce other kinds of noise, they would need to first mostly solve the problem by describing how to compare two signals for equality modulo all those kinds of noise.

@crschmidt @attie

This is data sampled from some sort of sensors. It will have some sort of white-ish noise added to it, because a.o. the sensors quantize and if you are close to the boundary between 8 and 9 the choice of what the sensor emits can get arbitrarily sensitive. They are asking for lossless compression, so they are asking for that noise to be reproduced. That sounds totally impossible in the data rate described.

@codefolio @attie

They explicitly ask for lossless though. (To be fair, asking for lossy requires having a loss metric, which requires a good understanding of what's signal and what's noise.)

@cliffordheath @attie

This is also a reason why their request is likely simply impossible. I expect the signal to have some amount of white noise, and they ask for lossless compression, so they are asking for the noise to be reproduced exactly.

They have 10b samples and want more than 200x compression (presumably over linear PCM, which is the format of the files they published). This can only work if any white noise present itself takes less than 1/200 of the data rate, so if the white noise's amplitude is on the order of 2^-20 of their resolution (encodable in ~1/20 bit/sample).

(I speak of white noise only, because I'm assuming it's uncorrelated in different samples, both across electrodes and across time.)

Ignoring any correlations between general health and weight, I would naively think that #cancer risk would be proportional to weight (or rather, weight of the tissue in question): the chance of creating a mutation that is effective at creating a malignancy should be roughly constant per cell per unit of time, so the total rate of that happening should scale with number of cells.

Is there an obvious reason why this scaling is wrong, or is it not observable due to the health-weight correlation? (I've spent a few minutes trying to look it up, but found a mountain of experimental results correlating BMI with cancer risk only.)

@whitequark @mcc

Eh, it does as badly as everything else on Grays and Sieverts (it will happily convert between one and other).

@whitequark @mcc

And fractional powers.

@whitequark @mcc

This made me start thinking how to add handling of logarithmic units to it :)

@b0rk You might need to back the merge out though, if the merge was not an ff, but was trivial enough not to require your assistance.

@kuba

Numer 1 ma moim zdaniem dwie trochę różne interpretacje:

- jak wybieram kursy, to kieruję się tym, które uważam za ważne,
- jak patrzę na to, jakie kursy wybieram, wydaje mi się, że wybieram te najważniejsze.