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Beyond the death rate, Part III: Flu versus Covid
Beyond the death rate, Part III: Flu versus Covid In Part II of our brief review of some Covid data,
We’re All Gonna Die!
Have you been paying attention?! We’re all gonna die! The world is falling apart. Terrorist attacks have rampaged through the United States, killing innocent civilians. Freedom, the American way itself, is at risk. 2016 has been a year of disaster, and a security failure.
At least, that’s what The Terrorists™ want you to think.
Data in Policy Debate: Uber and Sexual Assault
More and more, Uber is being called “unsafe for women.” In this post, we want to take the opportunity to dig into the data a bit and see if we can provide a framework for evaluating the general impression.
Data in Policy Debate: Very Deceptive Polling
Did you know that Republicans want to enslave blacks and bomb Aladdin? Totally true, according to these polls. Don’t bother doubting the results or digging deeper, trust us. It’s fine.
Data in Policy Debate: Diversity and Racism in the Oscars
For the 2nd year in a row the Oscar nominees for best acting roles have been all white–that’s 40 nominations. The economist points out some other suspicious examples of non-white team members of good films getting snubbed. This has raised some eyebrows and started an ongoing discussion about diversity in the Oscars. Spike Lee and Jada Pinkett Smith are boycotting the Oscars, and Twitter had one of its brief spells of outrage, this time in the form of #oscarssowhite.
We wanted to take the opportunity to take a step back and look at the question with rigor, and understand what the data tells us. The question we think we need to answer is this: “does the Academy have a racial bias in the nomination or award process?”
Data in Policy Debate: The Shrinking Middle Class
In our running series on the crazy world of interpreting data in policy debate, we dissect the latest Pew report on the middle class, with possibly-surprising results.
Data in Policy Debate: What _Isn’t_ Gerrymandering?
A very interesting–and probably quite manipulative–infographic on gerrymandering got us thinking about our biases when looking at data, but then got us asking an increasingly-perplexing question: what the heck _isn’t_ gerrymandering, anyway? How do we create a “fair” districting?
Data in Policy Debate: Organizing and Framing
In our ongoing series about data in policy debate, we got a few requests from readers with respect to creating a more comprehensive guide to interpreting politics graphs we see in the wild.
We think it’s a great idea. We’re going to get started with the seeds of a new chapter.
Data in Policy Debate: Skepticism, Confirmation Bias, and Mindsets
Why do we sometimes blindly accept an analysis, and sometimes scrutinize it?
Data in Policy Debate: Medical Malpractice and Defensive Medicine
Medical malpractice insurance in the US is often considered a problem that needs to change to help Americans pay less for healthcare services. The Affordable Healthcare Act didn’t have any medical malpractice tort reform as part of the bill, something CNN calls a “glaring omission.”
We decided to look at the oft-considered largest category of cost to the consumer–”defensive medicine”–and came across some very interesting results! This will be the first in a series of posts in which we explore the impact of different approaches to the data in having policy debate.