Well somebody had to say it and I know I’m not alone and it is not only healthcare but the financial markets as well.  How much have we read about high frequency trading and how they “rig” everything..tons of it and Michael Lewis even wrote a book.  Not all proprietary code is bad but there’s enough criminal type activity going on out there with the ones who are.  What a great game they have going as their code is compiled and nobody ever gets to see it.  That’s how software works.  We’re a far cry from where software began to increase efficiencies, which was the purpose to help us be more efficient.  Now it’s just a game of who’s code can outdo someone else’s code. 

That’s not the way it’ supposed to work out there.  Some algorithms are crossing the line and are becoming a menace to society as well.  This really sucks and until someone says something, nothing changes.  I’m tired of reading about the folks in DC not liking this or not liking that and picking on each other as this does nothing.  A while back I made a post saying “somebody needs to start calling foul” on some of this.  Don’t get me wrong, I like technology that helps me and makes me more efficient but too many are crossing that line and becoming “Techno-Gods” with their so called “algorithms”.  Like most I think I do a good job in pretty much telling the difference, after all I used to be a developer and wrote enough code and it’s like anything else in life, you can do the right thing or you can cheat.  We have too many cheaters out there today.  Everything does not have value. 

Somebody Needs to Start Calling “Foul” On Proprietary Predictive Algorithms When They Cannot Be Replicated For Accuracy As This Accelerates Inequality and Promotes Even More Data Selling For Profit

Software builds on itself and thus we have this complex world of algorithms that most are finding hard to navigate.  If it keeps going without removing the stuff that’s not helping us, everything will eventually come to a stop.  Nobody knows what to do with it anymore, or they cheat and write some study with some off the all inflated P-Value that makes a case for their cheating code.  We see this all the time with studies and abstracts that are recalled.  Somebody decides so go off the deep end with their model and the correlations become so spurious that nothing makes sense. I’m not that smart but I see this out there and why isn’t anyone else speaking up?  Actually over two years ago I warned about this impact on consumers before it really got out of hand.  Maybe because  I’m not making any money from risk fiddled models or algorithms is the reason?

Big Data/Analytics If Used Out of Context and Without True Values Stand To Be A Huge Discriminatory Practice Against Consumers–More Honest Data Scientists Needed to Formulate Accuracy/Value To Keep Algo Duping For Profit Out of the Game

Here’s a good example of what I am talking about and there’s lots more like it but who is giving FICO the authority to use their proprietary code to be the Techno-Gods with their predictive scoring on who’s going to take their meds?  They say all they need is a name and an address on a person and they can rip up a score between zero and 500 to create a score on anyone. 

FICO Medication Adherence Scoring Should Be Banned As It’s Quantitated Justifications for Profit That Hurts US Consumers Using Proprietary Algorithms That Cannot Be Replicated For Accuracy or Audited

Again, anymore with some of what we are seeing today, things have changed out there and you can be code hosed and not know it at all, just by buying in to the numbers that are given to you.  A long time ago a sales manager told me “Barbara, just throw numbers at them, even if you have to make them up and you’ll get your sale”…and those words ring loud and clear today except we have a ton of technologies that do it by the algorithms.  If some of this has perked some interest, head on over to the Killer Algorithms page and watch some videos from folks a lot smarter than me…and video #1 “Context is Everything” sets the tone for you.  BD 

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