If you have not caught up with this yet, I started this series by accident as an awareness outreach, I know just like everyone else has out there, but having been 
a former software writer, hopefully some of this will explain in layman’s terms how some of this works behind the scenes it may offer some answers. It’s not going to make you happy but it will open your eyes as to how the world of technology functions today with decision making and perhaps give you an idea of where it’s headed too.
I like technology and how it makes me smarter and more observant but as with everything today, there’s the dark side of how formulas and math are used for profit with some very intelligent and crafty programmers and developers out there and we get fooled. Everything in here is all public knowledge so there was no digging for any exclusive interviews and so forth, just stuff you can find on the web as well and I’m just connecting some “big dots” to where you may not see this otherwise. 
This blog can be a source of discomfort at times as along with years ago in learning about math, code and formulas, it transitioned me into something very scary indeed, a female that uses logic <grin>.
So if you have wondered why the Medical Quack is different, there you have it and I have to laugh at myself too as I never intended to become logical and think back quite bit of the days before logic entered the picture and those are some fine memories too. So there you have it, what’s wrong with this blog…<grin> a female using logic. I have also been pondering this question since August of 2009….this is a “one duck” think tank <grin>.
“Department of Algorithms – Do We Need One of These to Regulate Upcoming Laws?
So without further chat, here’
s
the Attacks as I see them as it’s all in the math and formulas…Nothing will happen until new code runs through those servers and I feel this is truly the backbone of what started the “Occupy” movement, frustration and nowhere to go for answers as we have leaders in denial that don’t have a clue of how all of this works. Today I am adding 5 more chapters since the last update. BD
Occupying Wall Street–It’s All About the “Attack of the Killer Algorithms”–The Unfair and Marketing Exploit of Ethics Using 
Math–This Could be a Subject for Michael Moore to Explore and Document In a Movie
Math–This Could be a Subject for Michael Moore to Explore and Document In a Movie“Killer Algorithms: Part 2” Disturbing News for Consumers With Credit Scoring Adding New Data Analytics–Some of the Same Methodologies Used by Insurers With Flawed/Potential Erroneous Data–One More Reason to Continue Occupying Wall Street
“Attack of the Killer Algorithms” Part 3–Vatican Doesn’t Like It Either–Occupy Wall Street Belongs in New York As They Don’t Do Code or Algorithms in Washington–Only Find time To Talk Abortions
Attack of the Killer Algorithms-Occupy Wall Street Part 4 Health Insurance Style - One More App For Folks Who Are Tired of Flawed Algorithms That Require A Ton of Work and Research Time To Create “Perfect” Data Files for Insurers And Others Analytics Processes 
“Occupy Algorithms”–”The Attack of the Killer Algorithms Part 5” - Nothing Will Improve Until Audits and Actions Takes Place To Correct Formulas Built for Profit Only by Corporations And We Battle Back With Math
Attack of the Killer Algorithms Part 6–Discrimination With Consumer Credit-Same As Health Insurance Wanting Consumers to Reconstruct Records From Many Years Past As Middle Class Turns Into Data Chasers-Days of Taking Risks to Get Ahead Will Be Limited For Most…Occupy Algorithms
Flawed Data–Mined by Corporations Online Provides Background Checks Riddled With Errors–Attack of the Killer Algorithms Part 7
Consumers Lose More Privacy With New CoreLogic Credit Reporting–”Score” Marketed For Insurers and Employers To Gain Information-California Prohibits Potential Employers – From Using As Jan 1 - Killer Algorithms Part 8
Freddie Mac Found to be Betting Against Home Owners Being Able to Refinance - “Attack of the Killer Algorithms” On Consumers Part Nine–Home Mortgage Style
Komen Reverses Decision With Planned Parenthood–Hard Lesson on How Business Analytics Are Misunderstood And/Or Abused–Attack of the Killer Algorithms Chapter 10
Gamification–You Have Won and Now We Know All About You - It Didn’t Cost One Cent-Insurance Companies Have Games To Find Out More About You Too– “Attack of Killer Algorithms” Chapter 11
Colonoscopies–The Bait and Switch on Screenings–If Polyps Are Found You Get A Bill-Some Other 
Screenings Too–Killer Algorithms Part 12–Medical Billing Codes Style
Screenings Too–Killer Algorithms Part 12–Medical Billing Codes StyleAttack of the Killer Algorithms Part 13–Bank of America Style - Flawed Data With Credit Scoring Agencies–Dead Man Banking And Currently A Consumer Under Attack
Insurers to Provide User Friendly Summaries of What’s Covered–Good Luck As Constant Revisions Will Be Required as Business Intelligence Algorithms For Profit Change–Attack of the Killer Algorithms Chapter 14
Story of Duke University - The Sad Case of Flawed Data Published in Medical Journals That Was Declared Inaccurate 60 Minutes –Attack of the Killer Algorithms Chapter 15
Medicare Low Safety Rankings At Harvard Teaching Hospitals Disputed and Flawed–Attack of the Killer Algorithms Chapter 16
Start Licensing and Taxing the Data Sellers of the Internet Making Billions of Profit Dollars Mining “Free Taxpayer Data”–Attack of the Killer Algorithms Chapter 17 - “Occupy Algorithms”– Help Stop Inequality in the US
Pharmacies File Suit Against Texas Human and Health Services Commission - Managed Care Contracts Begin Delegating Reimbursements Too Soon – Attack of the Killer Algorithms Chapter 18
AMA Announces Doctors And Patients Can Expect To See the UnitedHealthCare/Ingenix Class Action Settlement Checks In the Mail Soon - Out of Network Short Payments–Attack of the Killer Algorithms Chapter 19
Healthcare Blogger Gets Spammed by Hedge Fund Using Internet “Reputation Restore” With Some Really Bad Algos–Attack of the Killer Algorithms Chapter 20
Senator Introduces Bill to Prohibit Companies From Using Medical Debt With 
Assessing Consumer Credit Scores–Attack of the Killer Algorithms Chapter 21 With Flawed Data
Assessing Consumer Credit Scores–Attack of the Killer Algorithms Chapter 21 With Flawed DataIBM Watson Going to Work At Citigroup on Wall Street–Congress Didn’t See Big Data As A Tool (Hadoop Framework) When They Had Their Chance…For Consumers The Attack of the Killer Algorithms–Chapter 22
Independent Pharmacies Not Able to Compete with Big Chains and Fear Going Out of Business–They Don’t Have Same High Levels of Data To Sell to Profit- Attack of the Killer Algorithms Chapter 23
CVS/Caremark Sends Letters to Tufts Members Containing Personal Information Like Medical Conditions/Meds Info to Wrong Patients–Attack of the Killer Algorithms Chapter 24
Aetna States Letters Mailed to Thousands of California Customers Were A Mistake–Their Doctors Are Still In Network–”Rogue Algorithms and Flawed Data”–Attack of the Killer Algorithms Chapter 25
Medicare Agrees to Settle Hospital Reimbursement Dispute With 2,200 Hospitals in the US To Receive Approximately $3 Billion–Hospitals Paid Short–Killer Algorithms Chapter 26
UnitedHealthCare Sends Letter to Teenager Telling Her She Had Diabetes With No Parent or Doctor Involvement–Only Blood Test Was For Lyme Disease–Analytic Attack of the Killer Algorithms?–Reader Writes
Accretive Medical Collections and Analytics Cited by Minnesota by Attorney General For Collecting from Patients At Bedside and Worse–Employees on Pay for Performance Too? Killer Algorithms Chapter 28 
San Diego Hospitals Having Issues With Anthem Blue Cross Refusing Claims for Psychiatric Emergency Services–Attack of the Killer Algorithms Chapter 29
Colbert Talks Accretive Care–Collections in the Hospital ER (Video) Attack of the Killer Algorithms Chapter 30!
Insurers Add 4th Tier to Prescription Pricing–Higher Costs for Patients–Attack of the Killer Algorithms Part 31 As That is What Calculates the Cost
Facebook IPO – The Ultimate “Attack of the Killer Algorithms” Chapter 32 - Nobody is Immune In the World of Complicated Computer Code and Formulas Today
Predictive Modeling–Business and Consumer Algorithmic Data Screening Parameters Used With Insurance Underwriting–Same Stuff Wall Street Does - Attack of Killer Algorithms Chapter 33
BATS Stock Exchange IPO Rogue Algos–Attack of the Killer Algorithms Chapter 34–See How Other Killer Algorithms Occur in Every Day Life With Healthcare & Credit
New York Subway Worker, Dubbed as a Hero Has Pension Reduced to $5.00 a Month–Retirement System Error–Attack of the Killer Algorithms Chapter 35
I think there’s a little bit of something in here for everyone and again I do this as an 
awareness and how we and our government moves forward with this reality, it remains to be seen if we can scoot around the big white elephant in the living room that nobody can see, touch or talk to <grin> but it roars. Richard Cordray has his work cut out for him and that is an understatement.
Also because it belongs here and is on the same topic, when you have time listen in here and see how someone with greater intelligence than myself will help explain how this process works too with marketing, media and flawed data as simple math is no longer 100% credible for proving accuracy. This is a great lecture given at Google’s offices in New York. It’s hard to tell the difference sometimes between the good stuff and the algorithms created solely for profit as again their crafters are very good and collaborate with media to ensure we have a full diet every day. BD
Context is Everything–More About the Dark Arts of Mathematical Deception–Professor Siefe Lecture Given at Google’s New York Office–Big Healthcare Focus
There’s also something here for thought, de-valuate some of these profiteering algorithms so we can balance tangibles and intangibles and not have an economy so out of balance and that promotes the continuation of generating more inequality as that’s the kicker behind the scenes at the root of all of this.
“Devaluate the Algorithm” And “Tax the Data Sellers”–A Cure for Both Healthcare and an Economy Based Heavily on Intangibles–We’ve Lost Our Balance
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