We do too much. We carry too many projects. This overproduction creates problems which we try to fix by working even more.
We value most what we create (see Made by hand and The upside of irrationality). To be happy, you want to focus on making interesting stuff. This takes time and dedication. Yet as Graham’s essay The top idea in your mind stresses, we often fall into the trap of thinking mostly about money and personal disputes. These thoughts pull us away from our interests and prevent us from doing great work. As an example, I hear that Tiger Woods isn’t playing great golf. I bet he is either stuck into money problems or personal disputes, or both.
It is hard to be overworked by writing a book, by writing research articles or by playing golf. People are overworked dealing with email, context switching, money, and touchy relationships. This abundance of work makes people sad and boring. And this type of work tends to reproduce. The more you have, the more you will have.
Unemployment and pollution are visible results of our overproduction. Yet there are many more negative side effects. In academia, we train more and more Ph.D.s every year. Yet we have had too many Ph.D.s in the job market since the seventies. We write more and more research papers every year, and spend more and more time applying for research grants… but professors spend less and less time on curiosity-driven research.
It is cool to produce great work, but it is not cool to work 60 hours a week unless it is out of passion. And nobody is passionate about grant applications, marking papers or handling difficult people. Moreover, working long hours does not scale: you can’t increase your output continuously.
Our productivity will keep improving. I can write software faster and better than ever. I can research prior work with ease. I can ask fancy mathematical questions on the Web and get answers in minutes. Instead of investing back this productivity into more silly work, we need to get smarter:
- Focus on the essential: programming great software, writing a fun book, a set of inspiring lecture notes or an insightful article.
- Automate, reduce or delegate. Reduce is best: doing fewer things is cool!
- A focus on money or on personal disputes makes you stupid. Yet that’s where success often takes you. Watch out!
- Airplanes pollute. Travel takes you away from your family. Cars pollute and make you fat. Do you need all that junk?
I learned programming on my own when I was twelve years old with a TRS-80 and Microsoft Basic. The documentation that came with the TRS-80 was fantastic. Alas, today, no vendor would ever think of including an introduction to programming with a computer. If your are a dad (or a mom) and you regret this, then Hello World: Computer Programming for Kids and Other Beginners by Warren and Carter Sande is for you. The book is cheap: while the list price is $34,Â Amazon sells it for a little over $23.
As a kid, my initial goal was to create my own video games. And I did! I learned (entirely on my own) that:
- Even though computers are fast, it is hard to create fast software. Being clever is hard work!
- While it is easy to program a small game, programming a slightly more complex game can be orders of magnitude more difficult.
This book should allow your kids to learn as much and more.
Instead of using Microsoft Basic, the authors use Python. An excellent choice. They cover all the same material as in my venerable TRS-80 documentation: random numbers, variables, loops, graphics, functions and sound. However, there are a few more advanced concepts: dynamic arrays, arrays of arrays, objects, modules, file input and output, and event-based programming.
Note that many of the examples of the book would not run on the latest Python release (3.1). That is a minor concern since I would recommend you stay away from Python 3 in any case.
Disclosure: I was given a free e-book in exchange for my review.
I love gardening. I get good results too. However, my wife is very critical of my techniques.Â
- While I work hard, my work is often obtuse. Who grows his perennials from seeds Â these days? The result matters less to me than what I learn in the process.
- I do not care for uniformity, I prefer diversity. For example, I currently have 7 types of Morning Glory.Â I am always experimenting.
We just enrolled our oldest son in some karate lessons. I am not sure how useful this will be, but given that I got regularly in trouble with bad guys in school, I am hoping it will help him a bit.
Would you gang up on this kid?
I took some time off this year. No, we did not go anywhere specific. I just took two weeks off with my two sons. We had fun.
It has been years since I took time totally off. For irrational reasons, I would always keep my research going at a reduced rate during my time off. Not this year! I was 100% with my family… most of the time.
There still were a few exceptions. For example, DOLAP 2008 accepted our bitmap-index paper and we had to revise the paper within a few days. I really like this paper.
The problem we work on is simple: improve the compression and speed of bitmap indexes by row reordering. A bitmap index is a like a binary matrix with millions or billions of rows. Each column is compressed using a variant of run-length encoding. At query-time, the you load a few columns and apply logical operations (AND/OR) between them. Better compression translates into a faster index because the time required to perform logical operations over bitmaps is proportional to their compressed size. Finding the optimal row order is NP-hard.
A simple heuristic is to lexicographically sort the rows. It works surprisingly well. Fancier heuristics work slightly better. There are limits to how sophisticated your heuristic can get, however, since you need to scale to billions of rows. Fancy graph algorithms are out (as far as I can tell). (Processing the data in small blocks without merging does not work well.) The gist of our paper is that it is very difficult to predict which heuristic will work best, even with simple synthetic data. It was a difficult paper to write, and I am happy that the reviewers did not dismiss it since it breaks the traditional “A is better than B” research model. What our paper establishes is that it is a deeper problem than you might think at first. Fortunately, there are still a few elegant conclusions we came to.
Ok. Enough about research. Here is my youngest son on a poney:
I suffer from exhaustion. In the last few weeks, I had to resign from a few hats I wore. I resigned as union treasurer and I resigned as chair of the IT M.Sc. degree. Today, I stood up my friend Yuhong on a lunch date. Too much to do, too little time. I have reached a breaking point.
Kamel is back from Madeira (Portugual) where he presented our paper Collaborative OLAP with Tag Clouds: Web 2.0 OLAP Formalism and Experimental Evaluation. Madeira is too far from Montreal when you are old and decrepit like me. But he took some great pictures of the place.
I was there last year and it was great:
We have a nice mix of white and black tulips. They really stand out:
I also have a nice rhododendron. I never water it or care for it in any way, and here is how it rewards me:
Since I moved to the Montreal suburbs, I have become an active gardener. I used to apply generous amounts of fertilizers. I also got into serious trouble. My lawn died. Not because I burned it, but because I got a bad case of grubs. Several of my perennials died also or fail to come back healthy after the winter. I learned the hard way that most perennials are better off without any (chemical) fertilizer.
It turns out that in most cases, chemical fertilizers are overrated. As a rule, you should not use them.
My wife, before and after losing 35 pounds. Note that she had two kids in the process.
I think that the pictures are sufficiently impressive, I do not need to tell her how impressed I am.