An Ounce Of Prevention Is Worth A Pound Of Cure – But The Money Is In The Treatment

Money, and specifically other people making as much money as they can, is the external reason why most human beings favour salience over statistics when it comes to managing health risk. All of the companies that stand to make a profit from treatment have a number of people on staff who are very aware that preventing an illness or disease will lead to a much better outcome than relying on their company’s treatment. But the majority of the marketing budget is directed towards proving the need for and advertising the availability of their products.

According to the Internet, Benjamin Franklin said “an ounce of prevention is worth a pound of cure” sometime towards the end of 1736. He was making reference to fire safety and not to public health; germ theory was over 100 years away and while diseases that were preventable simply by employing good hygiene were killing thousands of people, these deaths were mysterious and void of the spectacle associated with fires. Today, in most western countries, fire prevention technologies are so effective and ubiquitous that most fire fighters spend the majority of their time attending MVA and medical calls. This is fantastic, but it only happened because most fire departments are run by the local government as not-for-profit essential services.

Compare this to what most people assume the quote is making reference to, health. The statement remains true in this realm, but the nature of the health industry is very different from that of the fire fighting industry. For one thing, it is much larger in scale because life is very complicated and maintaining optimal health can be achieved in a number of seemingly very different ways. The causes of sickness and disease are numerous and there is a very large life style component to it. Cancer, for example, can be caused by exposure to chemicals and different wave lengths of electromagnetic energy that are naturally occurring, but these carcinogens can also be consumed in quantities that are much greater than what occurs naturally in the environment. This allows for people to twist the narrative in such a way as to blame the person with lung or skin cancer for the emergence of the disease. It may not be demonstrably true, but human beings who have a vested interest in convincing people to believe a particular thing tend not to realize the role this conflict of interest plays in their efforts to propagate a story of Randian personal responsibility.

This, when coupled with the length of time it can take for a disease to run its course, makes possible something that fires do not, the creation of a number of profit centers that have the illusion of being concerned with addressing the illness. With fires, you have two unique inflection points, before the fire and during the fire. Before the fire we have prevention. During the fire we have suppression and elimination. Generally speaking, government regulations are the realm of prevention and suppression while municipal fire departments are concerned with verifying the completion of the prevention activities and performing the elimination activities (the actual hands on efforts to put fires out once they begin). The private sector is involved in all areas, but primarily in the manufacturing of fire prevention, suppression, and elimination of equipment used in these tasks. General motors manufactures fire trucks, various machine companies make water pumps, hoses, and water proof gear, GE makes smoke detectors, other companies make metal pipes and sprinkler heads for fire suppression systems, and various manufacturing companies make the electronic components and devices that are used for monitoring heat and smoke. Other companies will sell services that support and ensure that the government regulations are followed and that buildings are up to code.

From a capitalistic point of view, there is some money and many civil servant jobs in fire elimination, but the bulk of the profit is generated in the manufacturing and sale of the equipment that addresses the prevention and suppression aspects of fire. This is actually how it should be and it is not a random outcome. There were times when fire departments were privately owned for-profit ventures and this lead to the very predictable outcome of services being denied to people / companies that could not afford to pay the price being demanded to put their fires out. Fires spread however, so this arrangement became unworkable very quickly as a fire that burned in the house or business of a person who could not afford to pay the private company to put it out would quickly become a fire that was burning in the neighbouring houses. City blocks would be destroyed unnecessarily simply because the fire department was a private venture that decide on the cost and withheld the service from those unwilling or unable to pay for it.

This needs to be compared to the health industry, which is profit driven at nearly every step. The only piece that is not completely infected by capitalism is that of single payer or socialized health care which is only just mostly infected by it. Canada is a good example of a single payer system that serves to line the pockets of nearly everyone involved. While the citizens and permanent residents of the country will get treatment if they go to hospital or a health care provider, not everything is covered and there is an incentive for the providers to adopt a mostly transactional methodology when administering services. The users need to pay out of pocket for many things and while the government has attempted to eliminate the possibility of a two tiered system, it is not entirely illegal for a doctor to charge their patients for certain services, particularly unproven treatments that may or may not do anything.

As is the way with people when incentives are involved, some number of the providers WILL act in the ways that ensure that they maximize the amount of money they make. This can be an ugly mark on the illusion of socialized medicine, but it tends to manifest itself in all of the areas other than treatment of acute illness and life threatening disease. For example, if you break your leg, the hospital will diagnose and treat you, if you get cancer, you will get access to the specialists who are trained to treat it and to the medications that have been scientifically proven to destroy the cancer cells. You will not, however, be given free access to emerging treatments that have not yet been proven effective or deemed to be effective treatments by the provinces health ministry. Some medicines that are free to patients in British Colombia are either not available to people in Ontario or are available only to those who are willing to pay the drug company directly for them.

The situation is worse for non-fatal or terminal illness, diseases, or pathologies . Connective tissue injuries like ligament tears or cartilage damage are treated using an opportunity cost model more than the triage model. Someone who is younger, an athlete, or who has a very high earning potential, will get access to treatment much faster than someone who is older or is retired. Statistically this is a good approach given that the government stands to collect more tax revenue for a person who is highly skilled and closer to the beginning of their career than someone who is retired and living off of their savings or social welfare programs. The opportunity cost of delaying treatment for the currently employed is much higher than it is for the person who is in the twilight of their life. Even if we were to factor money out of it, which is impossible, fixing an ACL tear for a younger persons will statistically lead to a greater increase in the time of restored mobility than fixing it for an older person – a 25 year old person may get 55 years while an older person might get 3. Statistics do not deal with the individual cases, so the sound logic of treating the younger contributors before the older no-longer contributing will not have an impact on the older person who is delayed treatment, but the approach the government is taking is at least defensible from this perspective.

Another characteristic that makes things foggy is the role that soonness and salience play in evaluating and ranking risk. Human beings are almost powerless to do anything other than believe that negative outcomes that are going to occur soon and that are very easy to imagine are worse than the ones that will arrive later or that are tough to get a handle on. A fire that is burning right now is much more dangerous than the 4 instances of skin cancer that are on someones back. Fire triggers a visceral feeling while early and mid stage cancer remain primarily abstract. Everyone can see the value of preventing and putting out fires quickly, it is much harder to see the problem that cancer is causing within a person until it crosses into the realm of a health crisis; at which point it is probably too late to actually cure the person.

This creates a problem for people in assessing risk and determining value of prevention. While a fire may destroy a row of houses, as long as the people and pets get out, most things can be restored within a few months. It is more than a simple inconvenience, having your home burn down can be life altering, but if the living beings get out of the house, it is going to be life threatening only to the fire fighters. And yet when we happen across a fire in progress, it is a compelling sight, one that seem to mandate attention and action.

Cancer, obesity, chronic stress, mental illness, etc… do not have this salience. We likely see people who have cancer everyday and go about our business as though they are not on fire from the inside. We when encounter an obese person, any negative reaction we have has nothing to do with their increased all cause mortality risk and is more likely to come from a value judgment about what we perceive are their life style choices. Those we encourage who are suffering from mental illness or chronic stress tend to be categorically dismissed as being weak in the head or in need of some relaxation. The physical nature of these diseases is invisible and we cannot see that their bodies are actually running so quickly as to be physically burning out.

I have no doubt that if Benjamin Franklin was alive today that he would make the same statement, this time about health. But with more authority and urgency, because the cost of prevention is so much lower than the cost of these diseases running their course. And I have no doubt that people would agree with him and “like” his post before returning to worry about things that are bright and shiny, and much less of a problem than cancer. Each year in the US just under 3 million people die; of which about 3500 deaths are attributed to fire and 609640 are attributed to cancer. This means ‭0.124% of the total number of deaths are due to fire while 21.67% are the result of cancer.

This begs the question, why are we all so misguidedly idealistic? Or why is there a pragmatic void when it comes to risk assessment?

Well, there are two reasons, the first is that our statistical intuition is dreadful and the second reason is money.

Regarding the first, there is a cognitive bias labelled “the law of small numbers” that captures the human tendency to overweight the importance of a very small number of occurrences and to then generalize or apply this exaggerated significance to the general population.

However, and I believe that this is the most important part of it, people can learn the facts and then apply them to life EVEN if they never actually gain the ability to do it intuitively. They just need to learn the information, create a rule to guide their thinking, and then put in the effort to use the rule by consciously thinking about the relevant subject. KNOWING that they cannot trust their innate thinking about the topic and having the willingness to put in the mental effort are the only things that are required to get it right. But this is neither natural nor is it cost free.

The Monty Hall problem, for example, is something that I now understand but still don’t feel completely comfortable with. My guess was that the odds did not change once one of the possible choices was eliminated. But, having looked at the math, it clearly makes statistical sense to switch your choice. Even still, it doesn’t feel that way. The odds seem to have gone from 1 in 3 to 1 in 2; this is only the case when you switch choices – and even then, a mathematical case can be made for an improvement in the odds from 1 in 3 to 2 in 3 but only if you switch. I do however get the question right now because I learned the correct answer, studied the relevant math and committed to memory the fact that my brain makes this error.

My incentive for putting in the work to learn how to avoid these types of mistakes is a desire to avoid being wrong or the desire to be right in the future. For whatever reason I am motivated to operate this way – likely because my brain responds very well to thinking and releases a big reward when it figures things out.

In this case, no one has a vested interest in withholding the information that is needed to inform my understanding and to illustrate how I can avoid making statistical errors. Monty Hall himself became aware that there was a benefit to switching after one of the three options was revealed not to be the big prize, so his suggestions to switch were likely an earnest attempt to actually help the contestants out. So even though the information was available, very few people knew it, and fewer still went onto the show Let’s Make A Deal to put it to work for themselves.

The key consideration with cognitive biases and the errors they contribute to are that they are well documented, proven, and discussed. It is not a lack of wisdom that is preventing people from educating themselves and taking the necessary steps to avoid making the mistakes that they cause. This is not done by most people for one of three reasons: a lack of an incentive to learn and take steps to avoid them, the existence of a disincentive to learn about them, or an external variable. In the case of the law of small numbers, as it applies to health, it is primarily the third reason.

Money, and specifically other people making as much money as they can, is the external reason why most human beings favour salience over statistics when it comes to managing health risk. All of the companies that stand to make a profit from treatment have a number of people on staff who are very aware that preventing an illness or disease will lead to a much better outcome than relying on their company’s treatment. But the majority of the marketing budget is directed towards proving the need for and advertising the availability of their products. They have a vested interest in selling the problem and solution (treatment), and this conflict of interest stops the entire company from doing anything to educate their potential customers about the law of small numbers, the value of prevention, and the quality of life benefit to anyone who puts in the work to avoid the need to ever become one of their customers.

This is a slight head scratcher to me. Not the actions of the corporations that sell health treatments, but the lack of action by their potential customers. On one hand, I understand and accept that putting effort into doing anything that is different from our automatic behaviour feels like and IS work. It has the very real sensation of “paying now” for something that is so far in the future that it doesn’t exist. The effort spent today cannot easily be viewed as the cost of a long healthful life and is instead experienced as a loss of something scarce and very valuable. But on the other hand, there is no denying the existence of disease and illness. Cancer, for example, is something that is very real and which society no longer has any difficulty talking about. Most people who reach adulthood know at least one person who has died from cancer and a few people who have gotten it. Practically everyone knows that food choices and ones level of activity are correlated with disease and illness risk and yet obesity and inactivity are now major contributers to decreased life and health span. The belief that technology and science will offer up a suitable treatment when sickness punches our ticket is an understandable, while overly optimistic, rationalization for not doing enough to prevent illness.

During all of my time working at gyms and in the fitness industry, it was painfully obvious that less than 10% of the population who were not athletes or fitness enthusiasts would ever make the move into one of these groups. I am biased here, but all evidence points to moderate amounts of intense physical exercise and the mindful eating of appropriate amounts of food, mostly plants, as being preventative measures in terms of disease and illness. The cognitive enhancement benefits of improvement in circulations, along with the increase in energy / vitality are massive bonuses. However, there seems to be a prevailing belief that there are chemicals we can take that will mitigate all of the negative effects of not taking the actions that have been proven to help us delay and avoid disease.

This is where I begin to blame the corporations and other companies. While they are not responsible for the things that people hold as truths, they are responsible for selling them the promise and the chemicals that will treat whatever comes along. Their efforts and motivation to sell more of their products get them to play their role, which is at best misleading / incomplete and at worst a blatant lie, in the cooperative act that results in us buying their treatments.

There is a saying that is credited to Henry Oberlander that captures the fact that everyone is willing to give something in trade for whatever it is that they want. On our side of the table is the desire (want) to change nothing about how we live our life and on their side of the table is the promise of a treatment for the negative outcomes of a life not lived with an eye on the needle of preventative actions. It’s a win win insofar as we get to feel safe and secure that we can change nothing and our future will be fine and they get to feel rich. Except ours is just a feeling while theirs is a fact.

To their credit, most of the treatment sellers are NOT engaging in a campaign of outright disinformation and many of them are selling goods and services that are an effective treatment. You can take the pills every day for the rest of your life and die from something other than the disease you didn’t prevent. In this regard, the treatment is kind of like a cure, except for the fact that the company gains a life long customer and the customer gains a life long dependence on an exogenous chemical or external service to make-up for what their body cannot do, but must have done, because of the illness.

So what?

Prevention is effectively the front loading of effort and it is a gamble. We work today in the hopes that we are able to shape the future and cause a very specific outcome. Life does not last forever and over its course the body begins to breakdown and lose its ability to fix itself. Prevention can be viewed as the taking of specific actions that have been demonstrated to extend these self-repair mechanisms OR avoid those actions that have been shown to destroy this innate ability.

Human beings have a preference to avoid spending energy, mental or physical, and will only spend it when they have an incentive to do so. The consequences of not taking preventive action are so far in the future that they do not register as a disincentive for NOT taking known harmful actions. The same temporal distance also serves to negate the incentive someone has for taking preventative actions.

Our brains are not very good at dealing with statistic so we have a tendency to make gross generalizations or to create ALL or NOTHING rules to increase cognitive ease when thinking about things. When we are given a solution to a problem that we do not have, we will update our understanding of the world and the implicated subject to include the fact that the problem has a known solution. The operational impact of doing this is the perception that the risk associated with the problem has been eliminated. This grants us an unjustified freedom of action because our brain holds the belief that there are no consequences to any action that might lead to the problem.

We WANT to believe that the future will be safe and the same as or better than the present. Anyone who wants to sell you something can leverage this desire by presenting their product or service as a solution to a future problem. While there is a philosophical difference between a treatment, a cure, and never needing either, there is no actual distinction between the three when exist only as future possibilities.

Living a good life, one full of the actions that promote long term health and void of the actions that harm it requires effort and sacrifice, and the outcome is never a sure thing. While we may one day become old, we are alive right now and open to the pleasure and joys of a diverse range of activities and actions. Saying “no” to immediate reward in favour of a future possible reward just doesn’t have the same kick as saying “yes” to what we can have right now.

The important thing to keep in mind is that your actions now will have an impact on the person you live to become. While the treatment for the consequence of your poor actions, or lack of action, may seem like something future you will be fine with, present you has a conflict of interest and therefore cannot be trusted. They want to experience the pleasure of doing what they want all while NOT having the disease or illness at preventative actions might eliminate.

You need to take sometime to have a good think about your future and really get a handle on what you want it to look like and how you want it to unfold. Hypertension, diabetes, obesity, and impaired mobility, while not necessarily real to you today, are very real for a lot of people who didn’t look after themselves as well as they should have. Their present experience is that of someone who is relying on treatment to combat things that were mostly avoidable. Some of their money is going to people and companies who have a vested interest in a growing population of sick people.

What You See Is All There Is Example – The Survivor Bias

… you go to a baseball game on a rainy day and notice a lot of empty seats. When asked about the game later, you comment that the game was an absolute blow-out in favour of the home team (your team) and that the stands were practically empty because of the rain. You assume that people stayed away because of the weather and never consider that the game was against the worst team in the league and even though they won, it was uninteresting to watch because it was never competitive.

I really like the sentence “what you see is all there is” because it is implicated in so many of the cognitive errors that people make. I first heard the sentence when I was talking to my brother about how two different people can draw wildly different conclusions based on what appears to be the same information. He replied making two points: it is very unlikely that two people will draw different conclusions if they consume and process the same information and read the book “Thinking – Fast And Slow” by Daniel Kahneman.

I’m not certain about the first point, although probably. He was absolutely correct with the second point. The book is a master piece from the very beginning. A heart felt introduction lays the landscape – the book covers the topics of research that two psychologists collaborated on over a number of years. They developed a very close friendship, one that seemed to complement one another in terms of how they engaged and thought about the world. The work they did together has been highly influential and led to Kahneman being awarded the 2002 Nobel Memorial Prize in Economics. He maintains that had Amos Tversky not died in 1996 that they would have shared the honour. Unsurprisingly, “Thinking, Fast And Slow” is a heavy and demanding read. It is important and brilliantly revealing as it dissects, in terms of understanding, how and why people are the way they are and why the world is the way it is.

“What you see is all there is” (WYSIATI) is a way of making reference to the brains tendency to immediately process available sensory or perceptual information and to quickly and automatically make predictions based on ONLY this information. For example, you go to a baseball game on a rainy day and notice a lot of empty seats. When asked about the game later, you comment that the game was an absolute blow-out in favour of the home team (your team) and that the stands were practically empty because of the rain. You assume that people stayed away because of the weather and never consider that the game was against the worst team in the league and even though they won, it was uninteresting to watch because it was never competitive.

All you saw was the rain so therefore THAT must have been the reason why people didn’t show up. The truth is actually that people do not pay money to watch boring baseball games.

WYSIATI is the mental process of paying attention to only what is visible or that comes to mind when considering a decision. It is an “in the moment” and automatic phenomena and we are able to overcome it only when we take the time to consider what is not visible, what is not known, or what is known but currently not being brought to mind. Unless we take care to slow things down and work to create a mental placeholder for the things that you cannot see or that do not immediately come to mind, we are going to move forward considering only what is right in front of us; both literally and metaphorically.

This phenomena is likely the underlying cause of many other cognitive biases and its effects can be seen in a variety of different places causing predictable errors with decision making.

A great example of one of these biases is that of the survivor or survivor-ship bias because it has a near one to one relationship with WYSIATI. If you have never heard of the survivor bias consider the saying “history is written by victorious” and allow your brain to build the connection between these two things. You may notice that in your minds eye you begin to see two groups of people, one being the winners of the war and the other being the losers. The winners might even appear as larger, more clear, and in vibrant colour while the losers are smaller, blurry or lacking detail, and in black and white or grey scale. It is obvious from these images who is going to speak with more authority and clarity, and which group is going to have the volume turned down because their opinions are not worth listening to or hearing. The consequence to this is that one group gets to say everything while the other group doesn’t get to say much at all. If these just happened to be the two different sides of a war, it is obvious who gets to write down what happened and who needs to keep their mouths shut, accept their place, and to remain grateful for the fact that they didn’t get killed when their side lost.

Regardless of what gets captured as “history” by the group that has been given a voice, the other group still exists. Their silence, or the censorship of their stories, is not the same thing as them not existing. They remain alive and their version of events lives on in their brains, even if no one ever listens to or hears it. Pure or objective history is a single thing and is a point by point record of what ACTUALLY occurred regardless of the outcome. The text books may not contain any single sentence about it, instead being filled with the writings of the winning side, but this does not change reality at all. However, if you were given a test on the history of this specific event, you would be considered correct if you were to recite what is captured by the text books and would very likely lose marks for mentioning anything that was objective history but which did not match what the winners chose to put to paper.

Looking at this example it is easy to see that even though there is an other side to the story, it is as if there wasn’t because this side has never been shared. WYSIATI because you have never been exposed to anything else IN SPITE of the reality that something else did happen and this fact means that you are almost certainly wrong about history, or at the very least, profoundly ill-informed.

How this example relates to the survivor bias is that the winners are the survivors and the losers are the ones who did not make it. Both groups did exist, but we never hear from the losers because they never get to voice their experiences. If they could tell their tales, they would enrich the narrative and balance things out. This second thing is actually much more important because without their stories, the narrative seems completely balanced. It is only by becoming exposed to these stories that the lopsidedness of the initial history become obvious. But what you see is all there is and since you only get to see the stuff from the people who survived, your “objective” perception of things is completely skewed.

The big example that is used to illustrate the survivor bias is that returning war planes during the second world war. Everyone knew that both sides were losing a lot of planes because they were shot down by enemy pilots or anti-aircraft fire. They also knew that they could probably lower these numbers simply by adding more armour to certain areas of the plane. To this end, they set about collecting data on the damaged planes in hopes that they would uncover a pattern of vulnerability. Their efforts did reveal a lot of interesting things. The outer portions of the wings sustained a lot of damage, as did the rear wings, and the areas behind both engines extending back and across the centre of the aircraft including the fuselage. The initial thoughts were “reinforce these areas, add armour to reduce the chances that the plane would go down from enemy fire.”

This seems to make sense, the planes return with damage to some very distinct areas. Adding armour to these places is going to make the planes safer. It seems like the right thing to do.

WYSIATI.

What doesn’t come to mind initially are the areas with no damage. Look again at the image, the areas of impact are concentrated, as are the areas of no impact. There are very clear boundaries between them. This may or may not be significant.

Think about the history that the planes would write if they could write it. They’d tell you about getting shot, by the enemy, and of limping home, with holes all over their wings and body. Probably a close call for some of them. but no matter what else happened, the damage sustained was not sufficient enough to take them down. ALL of the ones that made it back made it back. If these planes are used for 100% of the samples in the study, you are only going to learn about damage that was not catastrophic. Putting more armour on these planes might be helpful, but all of them made it back safely without having any extra armour.

What really needed extra armour were the planes that did NOT make it back because their impacts were mission ending. But these planes never got to tell their story or write their history because they did not survive. If 50 planes went out and 25 of them returned, we can conclude that the armour on the 25 that did not make it back was not adequate to handle the impacts from the enemy. We do not know anything about the nature of these hits and we learn nothing about these hits by looking at the planes that returned damaged. This is a case of WYSIATI and the survivor bias.

What we are not seeing and need to see in order to solve the armour question is the damage on the planes that did NOT make it back because the damage was too severe for them to keep going.

Let this sink in if it doesn’t seem right or if you have never before thought about things in this way. Without taking the time to stop and really consider the problem, we make the error of assuming that the survivors DID something that allowed them to survive. But when we take some time to work the problem through again, we begin to open up to the possibility that maybe they survived because something was NOT done to them. This is exactly what was happening to the planes. When you look at the damage patterns of those that survived, you’ll notice a complete lack of damage to the engines, the front of the plane, and the fuselage right at the cockpit. So the planes that returned had working engines, intact forward facing aerodynamic surfaces, and pilots that were still alive.

The story about where armour should go was not logically told by looking at the survivors UNLESS you took the time to consider where the damage was NOT and to think about the consequences of damage to the unharmed areas.

Make no mistake about it, the other side was working with this information. In fact, by not having any access to the survivors, they were able to focus all of their attention onto solving the problem of how to destroy more planes by looking at the ones they destroyed and uncovering patterns. It was pretty clear to them, shoot the pilot, shoot the engines, or shoot any leading aerodynamic surface. Shooting the wings in general did not seem to have the devastating effect of hitting these other locations.

There is a good and a bad to the survivor bias and to the phenomena of WYSIATI. The good is that both can be counteracted to varying degrees by taking some time to think about what isn’t visible or what isn’t being said – to essentially give a voice to the vanquished. By asking the questions “what do I not know but is very probable,” “of everything there is to know about this situation, what happened to the stuff that isn’t known,” “what percentage of the totality do I know,” and “to make the best decision, is what you know more valuable or is what you don’t know more valuable?”

Asking these questions about the planes, you’ll get answers like “the planes that didn’t make it back may have been hit in other places,” “those planes crashed,” “50%” assuming that 50 planes left and 25 returned, and “what we do not know is more valuable because those planes got hit in the places that actually need improved armour.

The bad thing about the survivor bias and WYSIATI is that they do not feel like anything OTHER than sound rational decision making and analysis. The only reason you will know they exist is if you have learned about them or are the type of thinker who defaults to knowing there is stuff that is unknown and that this stuff has a big impact on things. Both are learned behaviours and even when we know them, both require effort to cultivate sufficient doubt to move you off of feeling certain and onto the task of figuring things out.

This effort requiring quality means that most human beings will continue to have their thinking impacted by these biases because most people are unwilling to put the effort into thinking about the impossible and the invisible. For most things and most people, the cost of being wrong is not all that high and most often the effort required to do the work to counteract these biases is greater than the work required to maintain an incorrect point of view. It is easier to justify why you are right than it is to put in the work to correct an error.

So what?

The brain does not make errors. It is a machine that operates in a purely logical way. When it doesn’t have accurate information or when it doesn’t have sufficient information, the output it generates may not be correct. It can only do what it is programmed to do and it can only do this with what it has access to.

This means that we need to use our attention to make sure we bring in the most accurate information we can, that we take sufficient care to interpret the information accurately while correcting errors quickly, and that we put the effort into surfacing or activating as much of the relevant information as possible. Experientially this is going to feel like work but there is a big pay off. In the short term it will mean improved decision making, and in the long term it will result in enhanced levels of expertise and a boost in cognitive ease.

WYSIATI exists because the brain is not able to bring to mind or activate everything it knows about a topic instantly, nor is it able to activate everything all at once. With enough time it will probably cycle through everything, but each new activation causes something else to fade away. All of it will serve however as input so given enough time, if your brain has the information stored, it will generate output that is correct. When we do not take enough time, we do not supply it with sufficient information to generate the correct answer.

When someone is an expert in a particular area, they are rarely impacted by WYSIATI because the information that they have stored in their brain is very accurate and they have created a new automatic and unconscious process for activating all of the needed information and giving the brain the input it needs.

Google Expert – Noun? Not Verb? – Second Run At It

A few days ago I wrote the post Google Expert – Noun? Verb? – First Run At It and today I am taking the second run at it. The reason I am doing it is because the article I intended to write was not what I ended-up writing. This is often the case when I get into writing about something I think is important. My brain goes off and does its own thing and my consciousness is left trying to stitch together the outcomes of the various processes the initial thought triggered. It would be silly to be upset about this because it is only a brain after all and it cannot help itself from acting like one.

Recall that I said:

… the 2019 Kentucky Derby that was run on May 4 saw the first disqualification in the history of the race. The horse that crossed the line first was later disqualified because it seemed to change its path and was deemed to have impeded another horse. A lot of people are commenting about it. I don’t know anything about horse racing so I don’t know if the DQ is appropriate. Google experts.

Assuming, because I am, using the term “google experts” as a noun. It’s intended to be slightly ironic or maybe a little sarcastic. Google-experts are a relatively new thing, but there have always been people who are full of crap. The only time there were not people who were full of crap is when there were no people. It’s hard to hold this against people because our large brain makes a lot of things possible that are not desirable.

The main trait of the brain that doesn’t entirely work for people is their need for certainty. It doesn’t work because the world has always been so insanely complicated that the chances of us being certain about most things is never going to be 100%. We can exclude the pure sciences from this – there is a right answer to most of the things in science, even the things that we do not know yet – leaving everything else. Math, for example, is a realm that deals with certainty in terms of there being a correct answer to questions and a near infinite number of incorrect answers. You are certainly going to be wrong when you say that 4 times 4 is 19 or 367, just as you will be certain that you are correct when you say that 4 times 4 is 16. And given that most things in science are governed by mathematical formulas, these things have a right and wrong answer. When we learn and follow the proper processes we can be certain that the answers we generate will be correct.

About almost all other things, certainty isn’t something that most of us will ever have a legitimate claim to. But that isn’t how we feel about them. Putting aside your keen ability to manage and coordinate a diverse and complex collection of actions taken by the people you work with, or your impressive ability to analyze spread sheets to uncover trends in complex global markets, or your legendary ability to write a tune and lyrics that capture the ubiquitous suffering that is being alive – or whatever expertise you have in your area of specialization – you are not an expert in anything else. In most other things, you have the average level of ability, which is to say almost none because most people do not know anything about most things. The Pareto distribution more or less dictates that 20% of the people have 80% of the resources. This leaves everyone else sharing the remaining 20%. The statistical analysis is based on things for which there is a finite quantity; money for example, 80% of the worlds population share 20% of the worlds money.

In a way, but not a big way, Pareto does not apply to things for which there is an infinite supply. Fluency in language is an example of a non-finite resource. Most people can learn how to communicate in their native language at an average level. Some people will have much higher skill than the average, while others will have much less skill than the average, but for those who are in the middle 60%, they will get along fine. Trouble may only be experienced with the lower 10% meaning the upper 90% will have no functional challenges that are the consequence of their language fluency. BUT the upper 20% will be exceptional while the lower 20% will have noticeably less skill. With common or shared traits, the curve isn’t as steep at the upper levels and is more steep towards the bottom levels.

BUT the capacity to develop language fluency is something that is possessed by almost all people and it only requires exposure and practice to cultivate. In this regard, it is like any other skill, but it differs from most other learned skills in so far as it is a critical survival skill. It is much closer to walking in this regard – given the poor survival outcomes when compared to those who can walk and talk – than it is to bowling. In fact, bowling is something that most people could learn and become very good at. All they would need is exposure and practice. But the distribution of bowling skill maps very well onto the traditional Pareto curve and not at all onto the normal distribution curve.

This is where most people go off course, and it may not be their fault. We are taught the normal distribution curve in school because it is useful for helping people gain a basic level of understanding about statistic. Everyone knows someone who is smarter than them and they know someone who is less intelligent than them. It is very easy to understand the nature of the bell curve with a high bump in the middle, covering 68 percent of the population, and decreasing tails on either side to account for decreasing number of people who are very smart or very low in intelligence. And it works for helping people to understand the distribution of abilities. The problem is that it doesn’t reflect much else and is actually very misleading from a visual stand point. It deals with distribution and NOT quantities. The fact that there is a bump in the middle is an indication that there are a lot of people in the middle. It doesn’t indicate a quantity of something OTHER than people. To see the actual quantity you need to look at the x axis to see the IQ level of 100 as the score that corresponds to the maximum peak of the curve. 100 is the mean score or the statistical average score for EVERYONE in the population.

It’s fine, but it is misleading because it creates the impression, or more accurately, it does nothing to disabuse or prevent the creation of the impression that the mean is a large quantity of something. The truth is, a mean level of anything probably isn’t going to be very much of that thing.

Let’s assume that the global money supply added together equals 100 and that there are 100 people in the world. The average amount of money is 1 unit. Okay, so long as everyone has the average amount of money, everything will be fine because no one will be falling behind. BUT this isn’t how money is distributed. If we assume that money has a normal distribution, the person who is in the middle will have an average amount of money, 1 unit, while each person above them will have more than one unit and each person below them will have less than one unit. This should immediately cause your brain to throw an error. Because it doesn’t make sense and your brain knows that. What is described here isn’t what happens.

We have to assume that every person who is above the middle has at least a little bit more than the person who is immediately below them – if person 50 has 1 unit, person 51 has 1 unit + some amount, person 52 has what person 51 has + some amount, etc…. The same thing goes the other way but instead of adding some amount, it is subtracted. This makes narrative sense, but it isn’t what happens in practice. Instead, the person at the top has almost infinitely more money than the person at the bottom, while the person at the middle has an average amount of money. Again, the brain throws an error. What does it mean to have an average amount of money?

You probably do not have any idea of what it means because the chance that you have ever seen someone who is making the average amount of money is very low. If you are reading this, you are much more likely to be in the top 20% in terms of income than you are to be at the 50th percentile simply because the global supply of money was never evenly distributed. A select group of countries have always had more money that others and there is a very good chance that if you are reading this, you live in one of those countries.

This is why the median value is more frequently used when talking about the distribution of things. The median value is the quantity possessed by the person who is in the very middle. In the above example, it would be the amount of money held by the person who was ranked in the 50th position.

There are benefits to using the median instead of the mean, and there are costs. The benefit is that it can tell a story that feels closer to reality. The mean income for a human being is estimated to be around $2 a day while the median income was estimated to be around $3000 in 2013. There is a big difference here, but when you think about it for a minute or two, it makes sense that the two numbers are so different. Very specific income data is only recorded for countries that have the ability to record it. The 2013 median income value was not the actual income of the person who was at the very middle position, it was the value for the person who was at the middle position for the data that was available. And this brings us to the main cost of using the median instead of the mean. It has the effect of turning down the volume on the outliers – those with almost everything and those with almost nothing. While this maps closer to our lived experience, factoring out these groups of people blunts the impact of reality and it has a profoundly negative effect on our ability to understand statistics.

Everyone has an idea of what a person with no money looks like and can imagine what their life is like. For those who own a computer or a phone, and have access to the Internet, the image generated by the thoughts of an insolvent person or someone who is flat broke is very different from the lived experience of someone who has a median income. But when we look the other way, we have less clarity about what it would be like to live as the richest person in the world. We’re able to visualize an abundance of nice things, luxury trips, the best quality food and clothing, and the ability to buy anything that they want, but the difference between the imagined life they live and the life we live is about the quantity and quality of things – we have a car that we share with our family, they have a number of cars that are much nicer and paid for. We have a modest house or an apartment, they have many giant houses and penthouse apartments that take-up the top three floors of some skyscraper in New York, London, Hong Kong, etc…. We eat a high quality steak occasionally to celebrate something, they eat $400 steak because it’s dinner. But in general, we do not go hungry or thirsty, cold, scared, without shelter or experience any real concern about surviving tomorrow.

At the lower end there is suffering and turmoil, at the upper end there is a glorified version of the life experience of the median person. This does not give us any indication of what having 150 billion dollars is actually like, or of what having that quantity of money means when compared to the average amount of money – either the mean or the median.

The same applies to things like IQ. The smartest person I know personal has an IQ of around 145. This places them in the top 0.25 percent of the population, meaning that they are the one person in about 400 who has this level of intellectual horse power. But it is very hard to tell that they are bright by looking at them, and it can take a couple of minutes to figure it out when talking to them. The best way I can describe the experience of engaging them is that they thing faster than most other people. They have the same capacity for input, they just generate the output at a speed which is noticeably different. And the nature of their output can have a much wider reach or large foot print than the output of a closer to average person. It is as though more mental circuits are activated and these allow them to draw from a lot more information or experiences. Generally though, they arrive at the same conclusion as I would, they just get there faster. However, they are capable of doing things with their brain that I am not able to do. They have a data processing capability that falls outside of my scope, and this is the most common narrative observation that people have about the extremely intelligent.

What does this have to do with google-experts? Well, considering that we are blind to the upper and lower 20 percent and have such a poor understanding of statistics that we do not have a realistic idea of what average anything is like, we are painfully unaware of just how little we know about most things. Assuming that we have an average level of knowledge about some subject, our natural tendency will be to assume that this ability places us at the 50th percentile. This is fine and may even be accurate. But doing so has an automatic and unconscious consequence of mapping this ability to IQ distribution and then making assumptions based off of what we know or believe we know about the abilities of a person with an IQ of 100.

The consequence of doing this is an unwarranted boosting of our perceived ability because we have a difficult time noticing the actual differences between someone with an IQ of 100, 120, 140 or 160. We see that they do different things for a living, but most of their life is about the same as everyone else’s. 100 might be an electrician or carpenter, 120 might be a nurse or pharmacist, 140 might be a physician, and 160 might be a theoretical physicist or surgeon. These are very different jobs and each requires a very different set of skills. But at the beginning of the day and at the end of the day, each will drive a car to their destination, each will eat food, and each will need shelter and a sense of security in order to sleep soundly.

I am not suggesting that 160 is better than 100 nor am I suggesting that either one of these people is more valuable than the other. Frankly there are so many people on the planet that the average value of any individual person is nothing to brag about. Each one of us matter to a few people and to the rest of the population we are complete non-factors.

What I am suggesting is that there is a big difference between the average level of something and the level possessed by someone in the top 20%. And this difference NEEDS to be considered and kept in mind when we engage the world in a way that involves people or relies on our abilities in an area that we are not an expert. Specifically we need to generate an awareness of what “average” means in terms of skill or ability, and we then need to allow this awareness to influence our thinking and actions.

Our brain does not do well with uncertainty so it is coded to manufacture certainty and default to this state. When there is nothing on the line, this tendency only harms ourselves because it prevents us from seeking out actual knowledge and wisdom that would allow us to be both certain and correct. But when there is something on the line, or when our actions will impact other people, our false certainty and general misunderstanding of what average is causes a lot of suffering for ourselves and other people. When we KNOW but are wrong, we push forward with things that cause ripples of consequence that will very often make our futures less certain and more difficult.

This is the root of the problem with google-experts. We can do an Internet search and instantly have access to a wealth of information about a subject that, if consumed and remembered in its entirety, would make us an expert in the field. But consuming all of it would take a very long time, and remembering it all is impossible. The search results that google brings forth represents the potential for future expertise but it does not represent instant expertise.

And this is why things are so messed up. Our need for certainty and the brains ability to manufacture it based on very little information, when paired with a google search, results in an instant and unjustified sense that we are an expert in something that we didn’t know existed moments ago. Whatever innate error correction might exist is consciously suppressed by the knowledge that we started off with an average level of ability and have just added to it by reading a couple of search results. All of this is true, but it is based off of a profound misunderstanding of what “average” means.

Average knowledge about a subject that we don’t have expertise in, or didn’t know existed a few minutes ago, is about the same quantity as the average amount of money a human being has. When it comes to reviewing the correctness of a legal decision handed down by the courts, I, like most people, have an average level of knowledge about the legal system and am therefore painfully unqualified to comment on the accuracy of the judgement. I have around 1 unit of legal knowledge and while I can comment on my feelings, I cannot comment on the legal rationale of the decision. I may not like the ruling and be certain that it is wrong, and when I google search it, this certainty will allow me to select the evidence that supports my position while ignoring the evidence the proves that my feeling isn’t appropriate because the ruling was legally sound.

I have watched the horse race and was hit by a couple of things. The first is that the sport looks really dangerous. I was shocked that the horse that appears to have been cut off didn’t get its leg broken by the horse that was in front of it. The second thing was that the ground was really wet, there were pools of water and I started to wonder if horses care about that type of thing? Do horses choose dry ground over wet or wet ground over puddles? The third thing was that I had no idea if what happened was right or wrong in terms of the rules. It was this final thing that lingered. I was forced to accept that I have, at best, an average level of knowledge about the rules of horse racing and that left me completely unqualified to vet the accuracy of the decision the officials made about the disqualification.

Of course, no main-stream news story goes without a google search and once I read what the rules are I had to conclude that I still had no idea about the accuracy of the decision that was made. Making a call like that is hard. It’s complicated because noticing exactly what is happening on the video isn’t something that I am capable of doing given that I have never seen anything like it before.

Once I realized that I didn’t know and wasn’t ever going to know, I started to read the opinions of experts and was quickly faced with a dilemma, I don’t have any idea who the experts are. There were opinions, but nothing to indicate who should be listened to and who was a google-expert like me. The only thing I was able to use as an indication that someone wasn’t an expert was if they used the decision as a way to piggy-back in a different issue. Animal rights advocates used it as a way to talk about the dangers of horse racing, advocates for the elimination of instant replay used it as a way to say that the fastest horse didn’t win, and those with an axe to grind about anything used it as a segue to talk about their issue.

People are entitled to their own opinion, but they are not entitled to their own facts. There is no such thing as alternative facts, there are facts and there are opinions. The Internet gives us the ability to uncover the facts, but they are hidden among an almost unending sea of opinions, screeds, and lies told to sell people something. It’s entirely possible that someone could take the time to wade through all of the stuff that is available and come out the other end legitimately informed and in possession of an expert level of knowledge. But like the cultivating of any skill to a high level, this process will take time and a deliberate effort to consume information that doesn’t match the belief we are constantly updating and becoming certain of. The world is very complicated and being certain about anything is a matter of facts, not a matter of feeling.