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Optimal Strategies for Winning The Democratic Primaries

By: Dr. Ikjyot Singh Kohli Election season is upon us again, and a number of people from political analysts to campaign advisors are making a huge deal about winning the Iowa caucuses. This seems to be the standard “wisdom”. I decided to run some analysis on the data to see if it was true. I […]

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Biology education Finance Game theory Mathematics Politics

New publication: Game Theory and Dynamical Systems

Our new paper examining the dynamics of an asymmetric Hawk-Dove game was published in The International Journal of Differential Equations: 

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Data Analytics Data Science Mathematics Politics Science Statistics

The Relationship Between The Electoral College and Popular Vote

An interesting machine learning problem: Can one figure out the relationship between the popular vote margin, voter turnout, and the percentage of electoral college votes a candidate wins? Going back to the election of John Quincy Adams, the raw data looks like this: Electoral College Party Popular vote  Margin (%) Turnout Percentage of EC John […]

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Elections Mathematics Politics Statistics

Optimal Strategies for the Clinton/Trump Debate

Consider modelling the Clinton/Trump debate via a static game in which each candidate can choose between two strategies: , where denotes predominantly “attacking” the other candidate, while denotes predominantly discussing policy positions. Further, let us consider the mixed strategies for Clinton, and for Trump. That is, Clinton predominantly attacks Trump with probability , and Trump predominantly […]

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Data Analytics Data Science Politics Statistics

Will Donald Trump’s Proposed Immigration Policies Curb Terrorism in The US?

In recent days, Donald Trump proposed yet another iteration of his immigration policy which is focused on “Keeping America Safe” as part of his plan to “Make America Great Again!”. In this latest iteration, in addition to suspending visas from countries with terrorist ties, he is also proposing introducing an ideological test for those entering […]

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Data Analytics Data Science Gun Violence Mathematics Politics Statistics

Protected: Breaking Down The Data of Victims of Police Violence

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Data Analytics Data Science education Elections Mathematics Politics Statistics

The Effect of Individual State Election Results on The National Election

A short post by me today. I wanted to look at the which states are important in winning the national election. Looking at the last 14 presidential elections, I generated the following correlation plot:    For those not familiar with how correlation plots work, the number bar on the right-hand-side of the graph indicates the […]

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Data Analytics Data Science Elections Mathematics Politics Statistics

Canadian Federal Election Predictions for 10/19/2015

Tomorrow is the date of the Canadian Federal Elections. Here are my predictions for the outcome: That is, I predict the Liberals will win, with the NDP trailing very far behind either party. 

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Data Analytics Data Science Mathematics Statistics

Do More Gun Laws Prevent Gun Violence?

Update: March 16, 2018: I have received quite a few comments about my critique of Volokh’s WaPo article, and just as a summary of my reply back to those comments: The main point that I made and demonstrated below is that the concept of a correlation is only useful as a measure of linearity between […]

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Data Analytics Data Science Elections Mathematics Politics Statistics

Let’s not go overboard with this Trump stuff! 

It has certainly become the talk of the town with some of the latest polls showing that Donald Trump is leading Hillary Clinton in a hypothetical 2016 matchup. I decided to run my polling algorithm to simulate 100,000 election matchups between Clinton and Trump. I calibrated my model using a variety of data sources. These were […]