[Notes] Testifying Today: SF 498 BodyCameras On Cops

If you've got nothing to hide, you've got nothing to worry about.

Part 1: What are you hiding?

While the cops have lots to hide. Bob Kroll's affiliation with(/affinity for) white supremacist organizations being the tip of an iceberg. But it's not so much that you're hiding, rather, what remains invisible to you.

This bill will further disproportionately affect communities of color who are terrorized daily by your "Peace Officers." You just don't see any of it, because we are, and have historically been, invisible to you.

This is an economic problem. Immigration is increasing; cultural aptitude is not. I asked a Minneapolis Police officer a few days ago, if they went through any cultural training --- he said he didn't know, then he asked, "Hey LT, do we go through cultural training." It's not having an affect.

That's is the defensiveness. White People feel attacked --- I won't get into the psychological specifics; there is an issue with police, and white people in general, being able to operate off of assumptions, instead of engagement. "MinnesotaNice", is a part of how this is can further be enabled by the cultural norms. Why is this an economic problem?!

Part 2: It IS an Economic Problem!

Both the University of Minnesota, as well as prominent members of the local technology sector are opening up about their hunger to attract a more diverse workforce. They are having difficulty attracting qualified, diverse, workers. Because for all of our pomp and punditry about Minnesota being a "Best Place To Live" - this is only for white people; and people of color know this.

Paid Less To Get Treated Worse
2015’s States with the Highest and Lowest Financial Gaps by Race/Ethnicity

WalletHub

Part 3: Instant Act-rite Pill

Open Data = Instant Act-rite pill. When everyone knows they're on camera, they will behave better.

Maturity is the ability , the foresight to make the sacrifice necessary to achieve, to earn, the progress we want.

You are running.

This is how the foundations for dictatorships are built. Alliances with the capacity and access to violence are able to congregate in secret, while having their actions condoned, and even praised, by their soon to be subjects.

Do you have the maturity to make the decisions an adult needs to make, or will protecting the children who wish to keep their toys and activities hidden - like a dog burying their bones in a hole -- while people die, while people are being killed, be your guiding light?

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Data For Funsies: %ΔHP by MN Congressional District

I've been munging a bunch of data for a while. Learning to processes, etc. Here's a little something I put together after deciding I wanted to have something to show. Using Quandl as a data source I was able to grab monthly average housing prices by zip code. By comparing this to data from the Minnesota Legislature's website - I was able to plot the Average Percent Change of Housing Prices per Congressional District.

This was an excellent project to get into pandas, a requisite for deep analytics. Also, matplotlib, being another prominent tool; it also uses ggplot, just like R. Python ever expanding libraries are the impetus behind moving on from R with regards to statistical analysis. Before endeavoring to complete this small side-quest, I dug into NLTK as well. This is where the optimization, and extensibility of Python really come into play.

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Learning ArcGIS w/ USpatial

Yesterday I attended a 5hr training on GIS provided by USpatial which focused on the ArcGIS Web platform. My interest is in using QGIS, which is an open-source platform; though it seemed not unreasonable to attend such a primer. It was definitely worth while!

Many of my questions were not just answered, but I was enabled to elevate my comprehension of the mechanics of GIS software. Databases fuel so much of the research going on these days; but I was unsure about how PostGIS functioned within the scheme; while I am still a bit confused by the graphic accessibility of each layer. Regardless, it all works out of a relational database system: tables, rows and columns. Interplay between tables, translates to interplay between layers. This is how complex analysis of data is carried out.

Below is a copy of a map we created through the training. I've got a few more to go to, though now my thoughts on on voice recognition software! CMU Sphinx Eeks!

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David Graeber: debt and what the government doesn't want you to know via @guardian

Just for funsies, the logic is there -- need to investigate the numbers and the models a bit more! All in good time.

t econ
c Mind
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Still Not Entirely Sure I Believe It!!

There is a tenet of economics that I've often struggled with; one of many. It seems so very simple, too simple, to actually be of any accuracy. Consumption + Savings = GDP | really? It's' that's it!?! Apparently aspects of the macro-economics numbers are that simple. I'll write more up on it later -- there were some neat tricks I learned, and the WDI package for R is really accessible! For now, here is the pretty picture I drew.

The x-axis is the point where the sum of consumption and savings equal GDP. Casual inference based on observation contends to the efficacy of the conjecture, that CS could equal GDP. It is also curious to note how the range of the y-axis is skewed, and equally notable how short of a snapshot in time we are looking at.

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China's Growth is slowing...

What does that mean for Latin America? As the graphs below will speak to, Latin America's growth, is a part of a larger norm, whose economic growth was not entirely uncorrelated with China's growth. How China navigates it's new found plateau, and how the world navigates the decay of minor boundaries, will set the tone for the next 5-10 years of global growth. Two graphs speak to China's growth behind American growth; the second looks at a remarkable distinction:

India snuck into the picture as well it seems. Regardless what we have above is a India riding the tide, Peru with a solid parallel run after the first third, and Mexico, Colombia, and the United States taking the deepest dives in percentage GDP growth - whatever that means - over the past few decades.

Below we take a look at Household Consumption. What does the average sample family from geographic vicinity X consume, on average? Or, rather, what percentage of their Total Consumption is composed of Household Consumption? Though when such distinctions as below can be observed; something can perhaps be inferred as more than mere abstractions. And when this is a distinction between the nearest catalyst to economic propulsion behind the United States; the panda is about to take a nap I might think.

t adv econ
c Mind
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