Recent submissions

Comment · 3 years ago
It doesn’t matter in the slightest which Party you prefer
Comment · 3 years ago
Agreed, the average tech worker / HN reader is painfully left-authoritarian and/or oblivious
Comment · 3 years ago
Ah yes, the "climate emergency". Aka total bullshit cooked up by the Malthusians in charge of UNESCO etc in order to control the sheep
Comment · 3 years ago
You vill own naaaasink unt be haapy!
Comment · 4 years ago
It's not too late to invest in mining and energy extraction equities - many are still highly underpriced before the major funds roll into the sector
Comment · 4 years ago
Fully agree! In the case that tabular data means business process records, there's absolutely no need to use anything more complicated than a principled statistical model. Focus on the quality of the data and the business problem, not exotic ML.

In more detail: the business data is prone to: evolving processes / systems / products / markets / customers; errors / omissions / corrections; tail events; hirings / firings; data loss; etc etc. The datasets tend to be small, messy, complicated, subjective. Nothing about this suggests needing a large, complicated model.

Comment · 6 years ago
It’s the BBC
Comment · 6 years ago
Thanks for the research!

And yes... rather worrying...

Comment · 6 years ago
I'd be surprised if geographical proximity to a BLS4 made much a of a difference to what would otherwise be a rudimentary swab & routine inspection (if that was even done at all).

As Kristian Andersen notes, the background noise of flu season would surely drown out the weak signal of an unknown novel virus. Then to not only notice the weak signal but act on it so quickly to do primary research and characterise it as a novel virus within such a short timeframe?

Seems far less likely than simply the effect of poor operational standards.

Comment · 6 years ago
Good find
Comment · 6 years ago
That comment on that page from Kristian G. Andersen is mildly disturbing (http://archive.is/O1vhN)... As Associate Professor, Scripps Research, Director of Infectious Disease Genomics, SRTI etc etc I assume he knows what he's talking about when he states:

"That means that the outbreak was detected almost immediately after the first case, which - given that this is flu season in China - is just amazing. Detecting an outbreak of pneumonia (similar to flu) of a novel coronavirus that fast is truly impressive."

I'm not sure I really want to wear this tin-foil hat, but it would certainly be easier to identify a novel coronavirus if it came directly from your own BSL-4 lab in Wuhan https://www.nature.com/news/inside-the-chinese-lab-poised-to...

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