I had to include the bit about the comparison here about doctors and pilots as this correlation over the years has been used so many times and some very strange writings as doctor are not pilots, but some folks seem to think the two are more similar than they really are. What is similar is how they are “scored” by algorithms though, which are proprietary for the most part and nobody gets to see the magic black box formulas. Aviation though does have one advantage though as they do have a real “black box” that does record data and the conversations and actions of pilots. They try to do something like this in healthcare, but it doesn’t work as pilots are dealing with an object, which is a jet, but doctors are dealing with humans, a person, not a jet.
As a matter of fact the only real correlation between doctors and pilots was revealed a few years ago where a retract several papers he had written. William Hamman was a pilot for United Airlines who had started in med school years ago but never finished. After he was exposed, his pilot job at United soon disappeared. So in my opinion only, this is really the correlation between doctors and pilots I ever found (grin).
What Can Healthcare Learn From Aviation? Watch Your Models As The Virtual World Can Be Far Different From the Real World When It Comes to Designing And Implementing Software & Hardware
I went to see the move “Sully” yesterday and that is the screaming value that I walked away with, don’t let flawed data and bad algorithms (flawed) produce inaccurate information that makes you begin to question who you are and use data to turn an individual who is hero into a zero. The NTSB with their algorithms had it all wrong. If you have read my blog for any amount of time, I preach this all the time on how folks get too wrapped up in stats and numbers and forget the “human” element and that’s what this move was all about. Sure algorithms can be good as well and its more in the fact about how we use them for knowledge, and not about scoring people into data oblivion with flawed data and assumptions from Quants and Data Scientists who “think” they have the ultimate answers, especially in the area of predictive analytics.
Due to a lot of the over hype of the power of algorithms and how they are marketed, we have a real problem today in the fact that people can’t seem to tell the difference anymore on what’s a “real world” value and what’s a “virtual world” value. I wrote about that initially in 2013 and it seems to be getting worse all the time, and so far I have not read any news stories of folks looking for Pokemon on a commercial airliner yet, but I have this feeling that the “dupes” who confuse both values will show up there soon as they have appeared everywhere else such as hospitals and police departments (grin). If you follow me on Twitter at all, I have a special name for this scenario, “The Dupes of Hazard Society”.
Virtual World Values and The Real World, We Have A Big Problem: People Can’t Tell the Difference Anymore as Perceptual Madness Grows to Further Accelerate Inequality…
In the course of my life I have happened to run across and meet a couple other pilots who were in these types of life and death situations and there’s not a lot of time and in both of those instances, it too was the human element that saved the day, just like Sully did. As a matter of fact, there is an airmanship award given every year by the Fraternal Order of Daedalians for the act of heroism by a commercial airline pilot. After seeing the movie and how the NTSB was stuck on their algorithms to turn the tide into discounting Sully, I feel he was left out of the award given in 2009. Operation “perception-Deception” Into Full Swing in the US, With Killer Algorithms, Algo Fairies, Algo Duping, The Grays, and Of Course, Flags As Consumers Confuse Virtual World Values With the Real World…
Indeed in the movie, Sully too had a bunch of “quantiated madness” and faulty simulations to deal with as well. Doctors every day are getting ripped with flawed data and algorithms and scored into oblivion with things that are just not true as well. You can read more about this at the link below at the quantitated madness dished out to their occupations by folks who bow to the all mighty algorithms without looking at the human side of care.
The Rise of the Quants, Again! This Time In US Healthcare- Taming the MACRA Beast of Quantitated Madness For A Lot of Things That Are Probably Just Not True
So, sure Sully gets offered mental health counseling after the incident, and not being there, we have no 
clue on what it could have entailed but again one could ask would such behavioral analytics serve a purpose to make one doubt themselves even further? It could if the therapie were tweaked the wrong way.
Turns out I’m not the only one who writes about this topic. I’ve writing about what I call Medication Adherence Predictions Enter the World of Quantitated Justifications For Things That Are Just Not True, Members of the Proprietary “Code Hosing” Clubs Out There Destroying Your Privacy If you watch the Quant documentary in the footer, Mike Osinski who wrote the software for the mortgage scams that took place and crashed the economy, he’s has some real words of wisdom for his part. He wrote the software the banks used and states is was never meant to be used the way it was to refinance loans. His best quote from the video is “with software you can do something about anything, create all kinds of virtual worlds to function in, but what really matters is what happens in the real world”. That’s a fact as again as I mentioned above people get involved in chasing all types of virtual values and forget about the “real” world and God knows he saw it first hand. I like the part where he coudn’t even sleep at night for all the bankers and financial folks wanting more code and as he said “you have to right, you can’t be wrong”. What those words really meant though during that time was “you have to be right and shove the money to the direction of the banks”. Virtual worlds impact and affect all of us. I like to use the world of Volkswagon who cheated with their computer code as a damning example as everyone knows about it by now that they cheated with their proprietary computer code. Stop and think about this as the company created a perfect little “virtual” world of cars that did not pollute; however, in the real world they did pollute, so be a skeptic when you need to be. Sometimes the only way get “get on” to the cheaters is when we notice the output of the algorithms not putting out results that can be trusted. The link below is also another of Cathy’s publications that is worth a read as well from a few years ago. Charlie Siefe, NYU, in video #1 in the footer also tells you about the Code Hosing taking place today and how we all take in numbers that are tossed at us with nobody questioning what is written, context is everything indeed. It’s interesting as his talk is a Google’s NY headquarters telling their employees how they get duped. Big people with money and somewhat good intentions get duped. We all remember how Bloomberg and Frieden who now runs CDS were duped on Big Gulp. It was just another model created that was supposed to change behavior on what size of soft drinks people could buy and it failed miserably. I’m sure both of them would maybe like to erase this chapter in their lives of the Big Gulp Dupe, as it was so much in the news as well as it’s failure. They sucked in flawed data and a big failed model. Bottom line is that all of us as citizens in the US are “scored” into oblivion and why even get out of bed every day (satire) as we have these huge, heavy ball and chains of what are called “risk assessments” that are tied to our ankles. We get tired of walking around with that excess weight, which is exactly what it is. Shoot we are so risk assessed that one wonders so any of us have the right to walk around this earth as we are a risk to everything! Sure there is legit scoring and qualifications that need to exist and those models are not going anywhere soon but we’ve taken “scoring” to a new limit to where nobody has much worth except the algorithms and those who worship those virtual values! This not how the world is supposed to work. Anway, back on course here with Sully, my big take from this movie is the fact that it did put “scoring”, flawed data, and bad models flat in your face on how we are looking at value today and the NTSB was worshipping the Holy ground of some flipping algorithms and tried to denounce a real hero named Sully. All algorithms are not bad and they do help us with knowledge and better managment and skills, but somewhere along the line we got off course and are somehow bowing down to the all mighty algorithms and functioning in virtual worlds instead of the real world. Give that some thought next time before you go hook line and sinker into a set of numbers, statistics or scores that are presented to you, before you give the numbers more credit than deserved. BD Just for good measure, here’s a few related posts from the archives here…“On Being a Data skeptic- Modelers Have A Bigger Responsibility Now Than Ever Before”–A Must Read Essay, Start “Sniffing the Data”…
How Many More “Bloomberg Big Gulp” Failed “Proof of Concept” Models Can We Sustain Before Everyone Splits a Gasket?
Excess Scoring of US Consumers, US Citizens-Scored into Oblivion By Proprietary Algorithms and Formulas, Never Duplicated or Tested for Accuracy-Profits of Big Business And A White House Executive Command To Continue the Abuse
Movie “HER”– Good Example On How Folks Can’t Separate And/Or Unite The Virtual With The Real World, Billionaires Are Made Out of Those Who Know How to Keep These Areas “Gray” With Creating and Maintaining The Addictive Code That Does It…
“Virtual Unreality” - Maybe A Good Read After the Fake Facebook “Science” Report To Help You Figure Out What’s A Virtual Value and What’s A Real Value Out There
Silicon Valley Is At It Again Confusing the Public With Calling Risk Assessments a Form of A Diagnosis Tool…
“Citizen Score” in China, A Huge Warning For America About the Loss of Privacy, Lifestyle and Personal Worth As Noted by the ACLU With This Orwellian Nightmare
“The Great Math Mystery”–Software Engineering-Looking for Where It Does and Doesn’t Work-The Physics Connection…
When The Models Are Too Complex With Too Many Bits of Data-Sometimes Quants, Data Scientists Just Guess and Assign a Number Value And “That’s Not Science At All “
Obamacare - One Big “Attack of the Killer Algorithms” No Matter Which Direction You Turn, Compounded With a Lot of Government and Consumer “Algo Duping”….
