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Data Analytics Data Science Elections Politics Statistics

Did Clyburn Help Biden in South Carolina?

By: Dr. Ikjyot Singh Kohli The conventional wisdom by the political pundits/analysts who are seeking to explain Joe Biden’s massive win in the 2020 South Carolina primary is that Jim Clyburn’s endorsement was the sole reason why Biden won. (Here is just one article describing this.) I wanted to analyze the data behind this and […]

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Data Analytics Data Science Elections Mathematics Politics Statistics

The Probability of An Illegal Immigrant Committing a Crime In The United States

Trump has once again put The U.S. on the world stage this time at the expense of innocent children whose families are seeking asylum. The Trump administration’s justification is that:   “They want to have illegal immigrants pouring into our country, bringing with them crime, tremendous amounts of crime.”   I decided to try to […]

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Data Analytics Data Science Elections Finance Mathematics Politics Science Statistics Stocks

The Trump Rally, Really?

Today, The Dow Jones Industrial Average (DJIA) surpassed the 20,000 mark for the first time in history. At the time of the writing of this posting (12:31 PM on January 25), it is actually 20,058.29, so, I am not sure if it will close above 20,000 points, but, nevertheless, a lot of people are crediting this […]

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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 Elections Mathematics Politics Statistics

2016 Real-Time Election Predictions

Further to my original post on using physics to predict the outcome of the 2016 US Presidential elections, I have now written a cloud-based app using the powerful Wolfram Cloud to pull the most recent polling data on the web from The HuffPost Pollster, which “tracks thousands of public polls to give you the latest […]

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Data Analytics Data Science Elections Finance Mathematics Politics Statistics Uncategorized

Some Thoughts on The US GDP

Here are some thoughts on the US GDP based on some data I’ve been looking at recently, mostly motivated by some Donald Trump supporters that have been criticizing President Obama’s record on the GDP and the economy.  First, analyzing the real GDP’s average growth per year, we obtain that (based on a least squares regression […]

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Elections Mathematics Physics Politics Science Statistics

Protected: Physics, Data, and The 2016 US Elections

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Data Analytics Data Science Elections Mathematics Politics

2016 Michigan Primary Predictions

Using the Monte Carlo techniques I have described in earlier posts, I ran several simulations today to try to predict who will win the 2016 Michigan primaries. Here is what I found: For the Republican primaries, I predict: Trump: 89.64% chance of winning Cruz: 5.01% chance of winning Kasich: 3.29% chance of winning Rubio: 2.06% […]

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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.