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Comment Re:No. (Score 5, Informative) 198

A whole interview rarely carries over. I was asked if I thought Apple would be around in 100 years. My reply even referred to IBM, along the lines of what you can do and how many restarts you can get when you are that big. I facetiously jabbed at the idea of Trump seeking advice from today's huge internet companies by telling the reporter that they would all ask for lower taxes and become larger yet.

Comment Re:I remember 1979 well. (Score 1) 62

Exactly. I got my first computer as a kid in 1981 (a Casio PB100). The manual was excellent, and I learned BASIC as well as some numerical analysis with it : Monte-Carlo method, systems of equations, etc. My parents were short of money at the time, had a large house, and took guests who needed a place to stay for a few months. I remember long discussions with a couple of computer specialists (as we said at the time) working for major banks. They only seemed to know VM and COBOL on big iron computers, punched cards, line editors on ttys, and files on tapes, so, "serious" computers which have practically disappeared except in legacy applications. They made fun of me with my small device and my dreams of having an Apple ][ or an IBM PC, which was worth the price of a hot hatch at the time, and that my parents could not afford, saying that a real computer was worth minimum $1M, or how I was using a TI 994/A at school to play some music. I realized they had almost no concept of a backdoor, and were hardly gasping the concept of a superuser, which I knew only from books, but had understood. Now, I am using the most powerful computers of the planet in atomic energy centers, and still think of them making fun of me trying to program 2-degree equations or 3-unknown linear equations on my 512 byte computer in BASIC. They did not seem to see the point, since they only thought about (non-relational) databases and accounting.

Comment p-value research is misleading almost always (Score 5, Interesting) 208

I studied and tutored experimental design and this use of inferential statistics. I even came up with a formula for 1/5 the calculator keystrokes when learning to calculate the p-value manually. Take the standard deviation and mean for each group, then calculate the standard deviation of these means (how different the groups are) divided by the mean of these standard deviations (how wide the groups of data are) and multiply by the square root of n (sample size for each group). But that's off the point. We had 5 papers in our class for psychology majors (I almost graduated in that instead of engineering) that discussed why controlled experiments (using the p-value) should not be published. In each case my knee-jerk reaction was that they didn't like math or didn't understand math and just wanted to 'suppose' answers. But each article attacked the math abuse, by proficient academics at universities who did this sort of research. I came around too. The math is established for random environments but the scientists control every bit of the environment, not to get better results but to detect thing so tiny that they really don't matter. The math lets them misuse the word 'significant' as though there is a strong connection between cause and effect. Yet every environmental restriction (same living arrangements, same diets, same genetic strain of rats, etc) invalidates the result. It's called intrinsic validity (finding it in the experiment) vs. extrinsic validity (applying in real life). You can also find things that are weaker (by the square root of n) by using larger groups. A study can be set up in a way so as to likely find 'something' tiny and get the research prestige, but another study can be set up with different controls that turn out an opposite result. And none apply to real life like reading the results of an entire population living normal lives. You have to study and think quite a while, as I did (even walking the streets around Berkeley to find books on the subject up to 40 years prior) to see that the words "99 percentage significance level" means not a strong effect but more likely one that is so tiny, maybe a part in a million, that you'd never see it in real life.

Comment Re:Math author dies rich... (Score 1) 170

Yes, I bought some of the Landau and Lifchitz books at the time for $3, they are now worth $150 at Springer...Younger self should have believed in himself more. Funny to see that now we can download 5000 C64 games for free, not to mention MAME roms, a good PC is $500, (at the time, $30 per game, a decent PC was $3000 of the time) but those books are 50 times more expensive...and the content still worth it.

Comment timing - which year (Score 2) 72

I travel a ton and stay in dozens of different hotels every year. Domestically, and in maybe 50% of the foreign cases, the high priced hotels had worse and slower internet up until a couple of years ago. For the last 2 years they have gotten better, on the average. Oh, I was in a 5-star Vegas resort last night that had horrible bandwidth. In the past, my joke was accurate that the difference between a Four Seasons (just an example) and a Super 8 is that at the Super 8 the internet worked and was free. The most important thing to me in a hotel is computer use. The fancy suites in major hotels are often set up for entertaining friends and DON'T even have a computer desk. I ask my wife to book me into Super 8's whenever possible.

Comment Instead of a degree, try this (Score 1) 637

I actually noticed this trend about 8 years ago, and wrote a book to solve it. The book is called Programming from the Ground Up. It is a Linux-based assembly language book, but also teaches a lot about systems programming in general, but without being too technical.

For the other CS-oriented stuff that they don't teach, the two books you should get are how to design programs and Structure and Interpretation of Computer Programs. After that, I have written a series of articles to apply those ideas to "real" programming languages on IBM's developerWorks. You can find links to them here.

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