nemild

26 ms·

211.
by nemild 9y ago
I'll give you one piece of advice: beware premature scaling. If you have a headful of ideas, I'd focus on building something people want, not thinking about scale or other technical optimizations. If you're an engineer like m
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by nemild 9y ago
You might like Merchants of Doubt which goes deep into false equivalency in media coverage.
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by nemild 9y ago
One thing that's a bit weird is that the donate link is not over SSL (and it says Powered by Stripe).
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by nemild 9y ago
Vinod Khosla (Sun Microsystems, Khosla Ventures) is a big fan of this piece. You can see his version here (has his notes in the margin): http://www.khoslaventures.com/wp-content/uploads/What_makes_... As someone w
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by nemild 10y ago
A few weeks back, I wrote a piece about assessing and setting your values as an engineer: https://www.nemil.com/musings/software-engineers-and-ethics.... I was surprised we didn't discuss this more and I wanted to
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Ask HN: Tell me an engineering war story from your career
78 points by nemild 10y ago|42 comments
217.
by nemild 10y ago
Want to drop me a note (see my HN profile). I've done these ancestor maps in the past in other cases, and have some ideas.
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by nemild 10y ago
For those interested in converting PDF tables into CSV, there's also Tabula ( http://tabula.technology/ ) (Used by many journalists to analyze the data in PDFs)
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by nemild 10y ago
[OP] I spent some time categorizing death coverage in the first pages of The New York TImes compared to actuality over a 20 month period. I’ve been intrigued about why so many make threat assessments based on news coverage, and wanted to se
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by nemild 10y ago
I don't think your mom is irrational given what is covered - but the big mistake we often make is thinking that what we read is representative of what is going on. I want to use data to show this effect on a number of issues. And the
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Visualizing the Coverage of Deaths in The New York Times vs. Actual Death Data(nemil.com)
3 points by nemild 10y ago|3 comments
222.
by nemild 10y ago
The other thing to be aware is that the rationalization may be different than the reality of why he didn't choose you. The CEO may have found this an easier way to reject you. In YC, there was this saying (in the context of VCs): belie
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by nemild 10y ago
Noted below, but I'd also highly recommend Redis for clean code.
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by nemild 10y ago
And even later it was someone like William Shockley, inventor of the transistor and Nobel prize winner.
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by nemild 10y ago
Just upvoted.
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by nemild 10y ago
New parties are hard. Still, I've found it interesting to think about a group that was only active in 3-5 evenly contested states, that collectively controlled a few percentage of the vote in those states. This small group might have t
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by nemild 10y ago
Is your experience emblematic of the that for most customers? Some of the things you mention seem like fundamental design flaws, so I'm curious if most customers have issues?
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Wall Street Clearinghouse to Adopt Bitcoin Technology(nytimes.com)
2 points by nemild 10y ago|0 comments
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by nemild 10y ago
I'm sorry to hear the news - code annotation is something we need more of, especially for teaching and debating different design choices. I remember your posts on how MRI/Ruby worked from a few years back, which were always fun -
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by nemild 10y ago
See my comment in this thread. Telcordia/Bellcore was a spinout from Bell Labs after the DOJ antitrust action in the early 1980s. Bell Labs stayed with AT&T and Bellcore was the R&D lab for the newly created Baby Bells composed
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by nemild 10y ago
Bellcore/Telcordia was spun out from Bell Labs as the R&D lab of the Baby Bells after the early 1980s antitrust suit against AT&T. Before the breakup, there were a number of labs that composed Bell Labs in NJ, not only in Holmd
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by nemild 10y ago
Thanks - I had put it in a footnote that got cut, but will edit.
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by nemild 10y ago
You're absolutely right, but after so much success there also seems to be a fair amount of confidence/arrogance that set in at NASA regardless of other pressures. Additionally, when you have a civilian on board, I think it really
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by nemild 10y ago
While the graphs I highlight don't show it, the broader paper uses both actual launch data AND experimental data to derive the regression. This experimental data presumably should be available regardless of if this reasoning had been
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by nemild 10y ago
This is often taught in business schools and one case is called Carter Racing: http://heller.brandeis.edu/executive-education/maine-2012/ma...
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by nemild 10y ago
I'm the author of this piece, happy to answer questions. I grew up with stories of the Challenger after my father - a statistician - and 2 of his co-authors were selected by National Academy of Sciences to study if the danger could hav
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by nemild 10y ago
You'd be surprised - it often implies the lifetime value of the potential customer is exceptionally high, despite low conversion rates (a medical lawyer is a good example, as are insurance products with high stickiness).
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by nemild 10y ago
Thanks, I modified the question to be more clear. I often find that mistakes other make are valuable for me to learn from as well. I could make every one of these mistakes serially as well, but in some cases, learning from those of others i
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Ask HN: Senior developers, what would you tell a younger you?
102 points by nemild 10y ago|84 comments
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Better Software Engineering Debates(nemil.com)
6 points by nemild 10y ago|0 comments

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