Exactly this - inexact and biased algorithms

How our everyday lives are being inaccurately and potentially morally irresponsibly influenced by the use of algorithms.
Yes. Yes. Yes.
I have the similar opinions, but I wonder and want to investigate:

1.  the use of the data that's not being used because it's an outlier
2. We are digging trenches of data-driven opinions and recommendations that are only supporting further digging, not the analysis or understanding of incorporating a wider array of data to get the relational information, expanding and more complex information, etc.

http://www.goodreads.com/book/show/28186015-weapons-of-math-destruction

Algorithm development - looking at the outliers - type 1 diabetes research

I'm going to circle back around to this, but thought I would link the article that was so intriguing for me:

http://diabetes.ucsf.edu/news/diabetes-center-researchers-contribute-‘most-comprehensive’-human-epigenome-roadmap

My initial thoughts is what happens if you look at the parents who had Type 1 diabetes and looked at the markers in their children who either did or did not get Type 1 diabetes?
If Marson is on to something, noticing in the junk DNA potentially some markers for signaling development or effect, would there potentially be an advantage to looking at the junk DNA or more specific groups, especially those that did not get Type 1 diabetes?

It's been nearly a year!

Wow! It's been nearly a year since I last posted here. Well, honestly, I've been down a bit of a rabbit hole, the hole called gaslighting...more on that sad sack tale later, and maybe even not then.

Anywho, here's what's piquing my interest intellectually now, thankfully;

http://harpers.org/archive/2016/04/crossing-the-valley/

http://harpers.org/blog/2016/02/nor-a-lender-be/

More on these two articles, and about me coming out from the emotional underground, soon.