Kevin Coogan

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Counter Arguments

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Election 2016          Intro: Counter Arguments and Potential Weaknesses As a general disclaimer, some weaknesses with the general analysis should be highlighted:   1. Media Bias and Social Desirability Bias – these go hand-in-hand when it comes to national political campaigns so if you disregard an inherent media bias that is weighted against […]

Two Scenarios

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Election 2016         Intro: Summary of Two Possible Scenarios There is a significant divergence between two groups of indicators in calling the 2016 US Presidential Election. Only one of these groups of indicators can be correct as the difference between their projections is so vast. The outcome could have a dramatic impact on future […]

Back-Story

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Election 2016          Intro: Who am I? Why am I analyzing the Election? I came into this completely backwards, am not a traditional political analyst, and am not even registered with any political party.  In a ‘normal’ election year, this opening statement would disqualify me from credibly analyzing the election but in […]

Republican Primaries, Social Desirability Bias

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Election 2016           Social Desirability Bias / Trump Shaming:  Republican Primaries The Republican primaries are a great case study for Social Desirability Bias.  We have a considerable amount of data from multiple polls in multiple states for multiple candidates.  Additionally, this data can be compared to actual results from the primaries. It turns […]

Is boring data big data?

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The term big data is still being defined. It is unclear which data sources will eventually be included under the umbrella term of big data and which will not quite make it. As much as people do not like the term, which has become very clear with the negative coverage that it has received, I […]

Google Flu Trends got it wrong, so what?

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There has been a major attack on big data over the last month with all sorts of sensational titles from leading publications. Some examples: • Science Magazine: The Parable of Google Flu: Traps in Big Data Analysis  • Financial Times: Big data: are we making a big mistake?  • Harvard Business Review: Google Flu Trends’ […]

Maturing of Universal Big Data and Emergence of Vertical Big Data

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Most are declaring victory for universal big data projects, or those that allow for storing, analyzing and extracting insights from big data. In my opinion, however, that story is pretty much played out – to be replaced by big data as applied to verticals. The recent news item that got people talking was Cloudera receiving […]

Apache Mesos – the next big thing?

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Paco Nathan educated a standing room only meet-up on Apache Mesos this week at “Deep Dive on Apache Mesos”. It was easily one of the best meet-ups yet this year. The presentation can be found here. My general conclusion is that Mesos will become an integral part of the big data stack. It provides the […]