Jumping on Entrepreneurship

Parkour, Startups, and Travel


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This Is How I Play #2 - PDQ

Game: The first game is called PDQ, or Pretty Darn Quick. This is an incredibly popular parkour game, where the basic objective is to jump on peoples' feet. This is actually one of the more complicated games, it usually takes a practice game for everyone to get the hang of it. I often play a “demo game” as I'm teaching it, so people can see the rules and their effects.

Rules: You start in a circle and everyone puts one first in the center. Someone (usually the winner of the last game) picks a random person, taps their fist, and counts “one,” moves to the next person in the circle, “two” and so on until everyone has been numbered. Once everyone has a number, everyone shouts “One, two, three, PDQ!” and everyone simultaneously takes one jump away from the center.

At this point, you continue in number order (“one” is first, “two” is second, etc). When it is your turn to go, your goal is to jump on someone else's foot. No one can move until you are in the air, however. If you feint and pretend to jump and someone else moves their feet, then they are eliminated. If you jump and land on someone's feet, they are eliminated.

The interesting twist to this game is... you can only jump when the person who is “it” is in the air. However, if you jump and land on someone else's feet, you can still get them out even though it isn't your turn.

A Statistical Analysis of NBA Teams

On Imported Blog

Growing up in the area around Houston, TX, I developed a love of sports. Whether it be football or basketball (sorry, Astros), I love my sports teams to death. Side note, the Texans need to get their shit together.

As a self-acclaimed math nerd, I enjoy - well - math. With the Moneyball era and my love for Daryl Morey and Nate Silver, I asked why not try to make my own sports statistics analysis.

So, that's exactly what I did over the last year. I created my own model as a result of a school project. I was pleased with the overall result, though I don't know if it's gone through enough rigorous standards to be considered formal research.

There are also multiple flaws and areas of improvement that I will hopefully address in the future, but I would like to give a brief overview on my findings.

My whole philosophy is that basketball is a team sport. I felt as if too much importance is placed on an individual player in current mathematical basketball analysis. I was more interested in how a team plays together. This is tricky because teams are always changing and the same five players don't play with each other all the time. As a result, I used the six players with the most minutes to represent each team.

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