129 karma · joined October 22, 2015
As you can imagine, there was a lot of wind whipping through offices. This is why the paperweight was invented -- and also why no one uses paperweights anymore.
About a year ago, I had this inescapable feeling that I was spending my time poorly (not daily productivity but on a larger scale), and it was causing me a lot of anxiety. Then I read How Will You Measure Your Life? by Clayton Christensen. I walked away with a framework for finding out what I want to be productive towards, even though that thing -- whatever it is -- was no more clear to me. My anxiety disappeared, which is what I wanted all along!
How do you increase the value of an option? Increase the volatility. Continuing to minimize risk is not going to meaningfully change your lifestyle. Your call option already protects you on the downside, so you should try to blow it out on the upside, and take a risk.
You can also view your experience and skills (and the minimum salary it allows you to command in the market) as the same thing. After a certain point, try for something that will meaningfully change your lifestyle. Worst case, you can fall back to that floor salary.
Gott says you can be 95% confident that you're experiencing the thing in the middle 95% of its life. Let's say x is its life so far. If x is 2.5% of its eventual life (one extreme of the middle 95%), then the thing still has 39x to go. If you're at 97.5% (the other extreme), then the thing only has x/39 left. So the 95% confidence interval is between x/39 and 39x
Of course, 5% of the time you actually are experiencing something at the very beginning or very end of its life (outside the middle 95%), which is a unique thing. But that's why it's a confidence interval < 100% :)
I prefer this form of the principle a lot more than "the expected life is equal to 2X, always."
Side note: I took J. Richard Gott's class in college called The Universe. Maybe not the best use of a credit in hindsight, but we studied some really interesting things like this.
Take the simple case of 2 dimensions (each observation is plotted in 2D space) with possible values of 0-10. Let's say the extreme (far from average) space is within 5% of the border. The total extreme area is (10x10)-(9x9) = 19 (i.e. 19%). Now add a 3rd dimension. The extreme "volume" in 3d space is now (10x10x10)-(9x9x9) = 271 (i.e. 27%). You can see where this is trending. Add enough dimensions, and every observation is now "extreme." They become so far apart that each observation almost deserves its own cluster, and you lose any idea of similarity.
Back to this particular article: when you _add_ (or average) all of the dimensions -- like you do on an exam -- suddenly they are close again.
Research has shown we get most of the nutrients we need from our first meal (of whole foods) each day. We only need calories from that point on. Shouldn't we then just try to get the most efficient form of calories, so long as those calories don't do harm? Leave the other 2 nutrient-rich meals for the rest of the world.
He frames it as "this is not what Americans want." But just because we can increasingly eat 3 nutrient-rich meals doesn't mean we should. In fact, it means the opposite -- that we should give those meals away because we can.
So why not make the list price $100k? If your example is correct, this would only affect those who make between $250k and $500k (where 20% of their income is between $50k and $100k).
[1] https://en.wikipedia.org/wiki/Backward_bending_supply_curve_...
Another one that no one has mentioned: state income tax. I live in CA but would put a >50% chance that I will live in a lower tax state when I retire. Thus, Traditional > Roth.
Even if we get better at this, the top passwords will still be these, they'll just be lower as a % of the total. So until we have 100% unique passwords, this story will always be there, which just seems lazy.
1) The multiple testing correction, which many people ignore when testing > 1 variants vs. the control
2) They display not only the p-value, but the confidence interval around the _difference_ between the variants (i.e. the effect size). It's tempting to observe an increase of say 50% that is statistically significant and think that you can be confident about the 50%. This is not the case! You chose your sample size to be confident that the actual effect size is > 0 -- not that you would have a tight confidence interval around whatever difference you observed. Depending on your sample, the lower bound could still be close to 0.
Remember Secret? Founders got $3M while investors with preferred stock even couldn't recoup their loss.
I can't help but think employees with common stock are always the losers here. Founders' "common stock" is really given preferential treatment -- it's obviously more liquid. Your average employee didn't get to sell his shares directly to some poor VC before the company went under.
I have a fantasy about going on a date at some rooftop bar that has a view of the spire, asking her what her favorite color is, directing her attention to the spire, and making it happen. I suppose I'd settle for changing the sign on a Portland office building, though ;)
- put a capital letter first and only first when a capital letter is required
- put a special character last and only last when a special character is required
- put a number next to last and only next to last when a number and a special character are both required
These will be the next patterns tried after the most common passwords, dictionary attacks, etc. -- and if you stay ahead of _these_ people then you'll be good for a while.
If Congress legislated tomorrow that all gun sales and manufacturing were to be banned, and all existing guns should be collected and melted down, then should we still spend time and money researching gun violence and lobbying for stricter gun laws? I think everyone would agree that would be a waste of time because gun control is inevitable given the plan to ban them.
Why does it feel like funding additional climate studies and appointing more bureaucrats won't stop like it would for the gun control example?
I would argue that two companies with identical products -- one who acquires customers organically and one who acquires customers through advertising -- should set the same price. The first will have higher net margins but the other will enjoy more total profit if they are smart.