Ideas for the online revolution.

2016 Presidential Election - Green Party - Philly Map

In the 2016 general presidential election, the Green party candidates for State Auditor and State Treasurer beat the Libertarians (including the well-known Gary Johnson). But presidential candidate Jill Stein did not fare as well due to strategic voting against Trump.

I live right next to the center of Green Party support in West Philly!

Category Breaks used in the maps: 0.25%, 0.5%, 0.75%, 1%, 1.5%, 2%, 2.5%.
Click on the image for a high resolution one.

2016 Presidential Election: Education, Race, Age, Density and other Factors

Early findings on 2016 Presidential Election
I have a county-level model that I used to predict the outcome of the Democratic Presidential Primary ahead of the election, and also a real-time model that estimated the state-wide swing based on the county swings. I used this model to make a significant amount of money betting/predicting the outcome on PredictIt.org. I also created my own real-time model for the presidential general election and used that (and the NYT real-time model) to make more money on PredictIt.

Philadelphia House Age Map

A couple months ago I made this property level map of
Philly Housing Age

A couple areas of the city are missing data (in my data source).

Estimating Median Household Income by Block

I'm trying to make a higher resolution map of median household income. The Census Bureau releases income data by census tract (around 4000 people) and also by block group. Relatively few people use block groups because the confidence interval is too high. Even when you pool five years of data from the American Community Survey the confidence interval for census tracts (which have about 3 times more people than block groups) is high (and can be too high to use).

Philadelphia Exterior Property Condition Map

I made a new map of Philadelphia Exterior Housing Condition using the Office of Property Assessment data (2015).

It is part of a series of high resolution maps I've made for Philadelphia using property level data.

It is interesting to see what parts of the city have new construction, rehabbing, and vacant and/or uninhabitable properties.

Bitcoin - large price increase

I've been following Bitcoin since June 2011. You might be interested in my Bitcoin trading thread. Recently the Bitcoin price has soared to $700 which is a two year high. Most notably in the past three weeks it went from $450 to $700.

Prediction: DC

My model has this upcoming DC Democratic Primary at around Clinton 88 / Sanders 12.

Predictions: CA, MT, ND, NM, and SD

Here are my predictions for the June 8 Democratic presidential primaries.

This is from my county-level model which includes past election results, age groups, sex, education, FB likes, Google searches, density, income, caucus/primary, whether 17 year olds can vote, and more.

Predictions: Kentucky and Oregon

Here are my predictions for today's Democratic primaries in Kentucky and Oregon.

In the national polls Sanders has been losing 0.5-1%/week versus Clinton. The Google Search Trends reflect this. Previously Sanders was getting around 65% of the combined Sanders + Clinton search trend, but now this has fallen to around 56%. For instance, in the past 7 days even though it is one of the few states which has an active campaign left -- Sanders has only got 53.5% of the searches in Kentucky.

West Virginia Prediction

For WV I'm predicting Sanders 55.3 %, Clinton 44.7% (percent of the shared Sanders + Clinton vote).

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