Monthly Archives: June 2015
When I decided to move to Israel the most frequent question, asked overtly or discretely, was "Is it safe?" The undertone was always that Israel is not and I may be a bit crazy for going. This post will examine how safe Israel is using the USA as the default comparison. There are so many ways to measure safety. Feeling safe is much different than actually being safe. What it means to be safe is not clear. However, there are some basic metrics we will explore here.
The first thing that comes to mind is homicide. The following graph comes from the world bank. The USA is, at all times, at least twice as dangerous than Israel for homicides.
Most good questions start over a round of beers and this is no different. During game 5 of the 2014-2015 NBA finals my friends and I got into a typical sports argument; who is the best and why? I had been arguing that Lebron James' performance in these finals was historically good but my friends disagreed. Forcefully. As this discussion flowed and ebbed we got into rating styles of professional basketball itself, and eventually, what makes a good NBA draft. Let's take a look using data from basketball-reference.com.
It's funny what high school students notice. I paid a visit to a high school calculus class and gave two lectures about applied math. Both lectures were variants of a typical themes; what is mathematics and how is it used in today's society. The talk was very visual and used two mathematical ideas, network theory and optimization, to motivate the study and beauty of mathematics.
I began the talk by asking them to consider the following picture from a children's book. I borrowed this from a talk given by Timothy Gowers on "The Importance of Mathematics." The students very quickly realize the water spouting from the lazy elephant is not obeying Newton's law of gravity. From here I go into a short bit on mathematical modeling. I ask them what they know about bacteria and I receive a typical answer; bacteria grows exponentially. We look at the graph and they realize, through a verbal discussion, that . From here the students understand the exponential growth model needs to be refined. We end with the graph of the logistic equation.
Nothing says romance like analyzing WhatsApp text messages using Python. In an effort to understand my relationship with my girlfriend I present, with lovely graphs, our texting habits.
Using Python and some of its standard packages like Numpy, Scipy, Matplotlib, and Pandas, I parsed data from our WhatsApp conversations. The data began on August 12, 2014, at 10:47pm local time in Amsterdam. The last entry used is from May 18, 22:45 Mountain time. There are a total of 27192 texts. The first table gives some statistics regarding the data.