Fear Factor–Jon Stewart on Bringing Jobs Back to the US–How Would Healthcare Deal With This - Methodologies of Algor

He shows the work of the algorithms in place for sure in a humorous way.  Why are health insurance companies getting into the low income housing business though?  I hope this is not a Foxconn plan to create communities with jobs that pay little and have medical care on campus?  What is up with this? 

The same company owns a subsidiary that will basically give you a free hearing aid made in China if you sign up for their health insurance…more below…and the subsidiary they built to distribute and coming to Walmart soon as I understand…

UnitedHealthCare Throws in Free Hearing Aids for Those Who Enroll In AARP Medicare Advantage, HMO & POS Plans in Miami-Dade County From Their New Subsidiary

He moves on to the next part, a game that has one level…hmmm…we another insurance company banking on this too…data to sell?  Will this make you healthy?  I prefer real knowledge.

I just ask is there where we are headed with mining and selling data today and big corporations taking over our day to day decisions?   The more information they have to judge and discriminate, the ability to control and humiliate the middle class grows. 

At any rate with the use of algorithms today that have teeth and the amount of flawed data out there, are we going in this direction?  I put this out for an awareness and perhaps to generate some though processes.  I like technology and the good things it brings but am not oblivious  to how it can also be abused as well and a NYU professor says it even better than me, read and listen up. 

“Numbers Don’t Lie, But People Do”–Radio Interview from Charles Siefe–Journalists Take Note, He Addresses How Marketing And Bogus Statistics Are Sources of Problems That Mislead the Public & Government

I sure hope Richard Cordray understands math and the power of the algorithms when used both in an intuitive and good manner and the reality of those who design for pure profit that hurts consumers.  You can see, smell or touch them, but they are running on server 24/7 every day making like impacting decisions, crafted by some of the smartest programmers and developers that the money on Wall Street can buy.   

President Appoints Richard Cordray as New Consumer Financial Protection Chief - Hope He Knows And Understands Correcting Flawed Math and Formulas To Battle the “Financial Attack of Killer Algorithms” On Consumers With Banks and Corporate USA

Another good article to read about the over sell and naïve and gullible nature of the US with both government and consumers, read what Nanex has to say as they are the folks that monitor and study rogue algorithms in the stock market and look for indicators of the “next flash crash”.   A couple paragraphs are below and will the SEC be suckered in to this huge expense of programmers who want to make big dollars writing code convince a naïve and gullible SEC?  It’s all over the place with digital illiteracy, steroid marketing and algorithms for huge profits only and they have teeth.  BD 

“Wall street hires the best software developers money can buy. They write clever algorithms. These algorithms will only get more clever as time goes on. Which means they will always be changing. Now, writing software to detect what other software is doing is 100 times more difficult. Which in the software world means 100 times more expensive. Which means hiring people that do not exist, since Wall Street already snapped up the best, and you need the best times 100 (you can't make it up in quantity and just get 100 times more wizards, because many will have poor social skills, and you need these people to communicate).”

“You see the folly of trying to regulate the markets in real-time? Real-time raises the cost exponentially times a million. To a level that all the kings in the world couldn't afford. It would be one thing to track in real-time, things that had known behavior. Like your checking account being overdrawn. Maybe credit card fraud in the making (which, by-the-way, hasn't been perfected yet, despite lots of money and time thrown at the problem). “