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Systems Thinking: Positive Feedback Loops

17 Wednesday Dec 2025

Posted by petersironwood in America, creativity, psychology, Uncategorized

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AI, Artificial Intelligence, books, chatgpt, Design, Feedback, government, innovation, leadership, learning, machine learning, management, politics, POTUS, problem solving, science, sense-making, society, systems thinking, thinking, vicious circle

Systems Thinking: Positive Feedback Loops

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One of the most important tools of thought that anyone can learn: “Systems Thinking.” I touched on this in yesterday’s post “And Then What.” I pointed out that when you take an action that impacts a system such as a human being, a family, or a country, it often does not react in a mechanical way. 

Here are some examples. For many years, the United States and the USSR were involved in a cold war arms race. Every time the USSR added more nuclear missiles to their arsenal, the people in America felt less safe. Since they felt less safe, they increased their armaments. When the USA increased nuclear weapons, this made the Soviet Union feel less safe so they increased their arms again and so on. This is what is known in Systems Thinking as a “Positive Feedback Loop.” It is also popularly known as a “Vicious Circle” or “Vicious Cycle.” 

Let’s say that you are in pretty good shape physically and regularly run, play tennis, or work out. The more you exercise (up to a point), the better you feel. Feeling better makes you feel more like exercise and more exercise makes you feel better. People call this a “Virtuous Cycle” or “Virtuous Circle” because we think the outcome is good. But formally, it is the same kind of cycle. 

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The most important thing to recognize about a Positive Feedback Loop is that it can be run in either direction. At some point, the US reduced their nuclear arsenal and this decreased the perceived threat to folks in the Soviet Union so the soviets felt that they could also reduce their nuclear arsenal which in turn, made people in the US feel safer and led to further reductions and so on. 

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Similarly, if you stop exercising for a month, you will tend to feel pretty crappy. Feeling crappy makes you feel less like exercising and this in turn makes you exercise less which in turn makes you even more out of shape, feel worse and be even less likely to exercise. You can break such a “vicious circle” by starting to exercise – even it it’s just a little to start moving the circle in the “virtuous” direction. (Incidentally, that’s why I wrote “Fit in Bits” which describes many easy exercises to get you started). 

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“Vicious circles” also often cause disagreements to escalate into arguments and arguments into fights. Each person feels “obligated” not to “give in” and the nastier their opponent becomes, the nastier they become. 

“Fawlty Towers” (https://en.wikipedia.org/wiki/Fawlty_Towers), a British sit-com uses “Positive Feedback Loops” in the escalating action of the comedy plots. John Cleese plays the co-owner Basil (with his wife, Sybil) of a small hotel. Typically, John Cleese makes some rather trivial but somewhat embarrassing mistake which he wants to hide from his wife. In the course of trying to cover up this rather small mistake, he has to lie, avoid, or obfuscate. This causes an even more egregious mistake which makes him even more embarrassed so he must result to still more outlandish lies and trickery in order to cover up the second mistake which in turn causes an even bigger mistake, and so on. 

That pattern of behavior reminds me of the current POTUS who is famously unable to admit to an error or lie and uses a second and bigger error or lie to try to cover up the first lie and so on. He seems, in fact, completely incapable of “systems thinking.” 

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For example, he may see (and exaggerate) a real, but containable threat such as a trade deficit. He sees the US send more money out of the country than the US takes in from trade. That’s a legitimate issue. But the approach he takes is to ZAP the other parties by slapping on tariffs without any real appreciation of the fact that our trading partners are extremely unlikely to react to tariffs on their products by simply doing nothing. One could use logic, empathy, or a look at history to determine that what is much more likely is that the other countries will put tariffs on our goods (which, of course, is precisely what happened). 

Similarly, he demands absolute loyalty. He repeatedly puts himself and his own interests above the law, the Constitution, the good of the country and the good of his party. He expects everyone loyal to him to do the same. But he betrays these loyal appointees, friends, and wives whenever it suits him. He thinks he is being “smart” by doing what seems to be in his best interest at that moment. But what he fails to see is that by being disloyal to so many people who have been mainly loyal to him, he encourages his so-called “allies” to only be loyal to him while it suits their interests.  

In the Pattern “Reality Check,” I point out that such behavior is an occupational hazard for dictators. Apparently, it can even be such a hazard for would-be dictators as well. By surrounding himself with those who always lie, cover for him, laud him, cater to his insane whims, etc., such a dictator (or would-be dictator) loses touch with what is really going on. He becomes more and more disconnected from sensible action yet those who remain loyal must say and do more and more outrageous things to keep the dictator from finding out just how bad things really are. Eventually, the Emperor with no clothes may die of hypothermia because no-one has the courage to tell him that he’s actually wearing no protection against the elements! 

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Positive feedback loops exist in purely natural systems as well as biological and social systems. For example, increased global mean temperatures mean less arctic ice which means more solar radiation will be absorbed by the earth’s dark oceans rather than reflected back into space by the white ice and snow. This, of course, makes the earth hotter still. In addition, the thawing of tracts of arctic tundra also releases more methane gas into the atmosphere which is even more effective at trapping the earth’s heat than is carbon dioxide. Global climate change also makes forest fires more prevalent which directly spews more carbon dioxide into the air and reduces the number of trees that help mitigate the emissions of carbon dioxide by turning it into oxygen through photosynthesis.

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A concept closely related to “Vicious Cycles” is that of “Cognitive Dissonance.” Basically, people like to believe that they are honest and competent. Much like John Cleese (Basil) in Falwty Towers, once they do something dishonest or incompetent, their first reaction is not to believe that they did something dishonest or incompetent. They will now try to distort reality by misperceiving, mis-remembering, or distracting. 

For example, at the height of the Vietnam War, I was horrified at the beatings perpetrated by the police on peaceful protestors at the Democratic National Convention. I was also disturbed at the techniques the Democrats used at their convention to silence the voices of dissension within the convention. Candidate Nixon claimed he had a “secret plan” to end the War in Vietnam. I voted for Nixon. As it became clear that Nixon was a crook, I decided that I had made a mistake voting for the man. But I could have taken another path which would be to “double down” on the original mistake by continuing to support Nixon and dismiss all the growing evidence of his misdeeds. As his malfeasance became more and more egregious, it made the egregiousness of my original mistake of voting for him grow as well. So, it would be possible to become ever more invested in not believing the overwhelming evidence of his treachery. (Now, it turns out, it was even worse than we knew at the time. He actively thwarted the peace efforts of Johnson!). Perhaps because I’ve been trained as a scientist and science values the truth very highly, I did not fall prey to that particular instance of “Cognitive Dissonance.” I readily admitted it was a stupid mistake to vote for Nixon. 

Of course, today, we see many people not just backed into a corner to support the current POTUS but backed into a corner of a corner. Instead of believing that a liar is lying, they protect their “integrity” by insisting that everything and everyone else is lying: the newspapers, the reporters, his opposition, people in other countries, his former business partners, his former customers, the CIA, the FBI, the NSA. Ironically, for some people, it would be easier to admit that voting for a slightly inferior candidate was a mistake than to admit that voting for a hugely inferior candidate was a mistake. Voting for a slightly inferior candidate is easily understood but if they voted for a candidate that bad and bad in so many ways it was a huge error. And now, as each new revelation comes to light, it is more and more and more embarrassing to admit what a huge mistake it was.  

Another common example of a “Vicious Circle” is addiction. A small amount of alcohol, nicotine or heroine makes you feel better. But taking the drug increases your tolerance for it. So, next time, to feel better, you need to take a little more. Taking a little more increases your tolerance still further so now you need to take a still higher dosage in order to feel better. When you do, however, your tolerance increases still more. Whether it is drugs, gambling, addictive sex, or unbridled greed, the mechanism is the same. You need more and more and more over time due to the nature of the “Positive Feedback Loop.” 

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A similar mechanism may be at work in the minds of apologists for the NRA (National Rifle Association). As more and more innocent people are killed partly because of easy access to guns, the mistake of supporting the NRA in their refusal to support mandatory vetting, training, and competency demonstrations for gun owners becomes an ever-more obviously egregious error. But, rather than making this more likely for supporters to admit to such an error and therefore change their position, every new slew of innocent children killed for no reason makes them actually less likely to change their position. According to Cognitive Dissonance, every such death makes their earlier decision worse – unless there is some counter-balancing argument. As the number of innocent deaths arises, and indeed, as more and more evidence of the perfidy of the NRA becomes clear, many who previously supported the NRA become ever more entrenched because they “buy into” the great value of unlimited access to guns ever more. Why? They continue their support because not to do so makes them complicit in more and more horrendous crimes.  

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If you can see such patterns in your own behavior and in others, you can better choose the correct course of action for yourself and be more thoughtful in how you communicate with others about their errors. Hint: Trying to make people feel more guilty for their stupid decisions will likely backfire. 

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Author Page on Amazon. 

Love and Guns

D4

Dick-Taters

We won the war! We won the war! 

Guernica

A Civil War there Never Was

The First Ring of Empathy

The Walkabout Diaries: Life Will Find a Way

Travels with Sadie 1: Lampposts

Donnie Gets a Hamster

An Open Sore from Hell

Roar, Ocean, Roar

The Dance of Billions

The Siren Song

Imagine All the People…

You Must Remember This

At Least he’s our Monster

Stoned Soup

The Three Blind Mice

Wednesday

What About the Butter Dish?

And, then what?

16 Tuesday Dec 2025

Posted by petersironwood in creativity, psychology, Uncategorized

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AI, Business, chatgpt, consciousness, consequences, Democracy, Feedback, innovation, learning, life, science, testing, thinking, USA

And then what? 

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When it comes to increasing the drama in TV crime shows, westerns, and spy thrillers, both the brilliant, evil villain and the smart, brave, good-looking protagonist display one common and remarkable weakness: they rush into action without much thought as to the possible consequences of their actions. 

Here’s a scene that you and I have probably seen a thousand times. The hero has a gun drawn and a bead on “The Evil One” but the Evil One has a knife to the throat of the friend or lover of The Hero. The Evil One, as both we in the audience and The Hero know, cannot be trusted. Most likely, The Evil One has caused the death of many people already, is treacherous, and lies as easily as most people breathe. Nonetheless, The Evil One promises to release the hero’s friend or lover provided only that The Hero put down their gun and slide it over to The Evil One. And The Hero complies! Often, The Hero will elicit a “promise” from The Evil One: “OK, I’ll give you my gun, but you have to let them go!” The Evil One, for whom promises mean nothing, “promises” and then The Hero slides the gun over. At this point, The Evil One is obviously free to kill both The Hero and their friend or lover immediately. Instead, The Evil One will begin chatting them up. This allows time for magic, skill, accident, God, unknown allies, or brilliance to turn the tables on The Evil One.

 

 

 

 

Here’s another scene that we’ve both witnessed. The Hero suddenly finds out some crucial piece of information that lets them know the whereabouts of The Evil One. Often this is an abandoned warehouse filled to the brim with minions of The Evil One. But, it might be the cave deep beneath the island stronghold of The Evil One; a stronghold filled to the brim with his minions. The Hero rushes in with a woefully inadequate force and without informing anyone concerning his whereabouts. He or she confronts The Evil One who not only confesses to past misdeeds but outlines their future plans to The Hero as well. 

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In the TV series or the movies, the sequence of events is determined by the writer(s) so even though The Hero faces impossible odds, he or she will almost certainly overcome those impossible odds. That makes for an exciting story!

But in life? 

In real life, you’ll typically do a lot better if you think about the likely consequences of your actions. 

Sometimes, people fail to do this because they have simply never developed the habit of thinking ahead. 

Sometimes, people let their wishes completely color their decisions. For instance, an addicted gambler, despite their actual experience, believes that gambling more will result in a favorable outcome for them rather than the truth which would be that there is an extremely small chance that they will win overall. 

Sometimes, people are too ignorant to realize that there are potential negative consequences. For instance, when I was a youngster, I had a “glow in the dark” watch and cross; each glowed partly because of radium. I enjoyed putting these right up to my eyes in order to observe the flashes of individual photons. I also put together model airplanes with glue. When I applied too much glue, I dissolved it with Carbon Tetra-choloride. I loved the exotic smell of Carbon Tet. Now, it is deemed too dangerous to be used in this way. 

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In many cases, it seems to me that people do think about consequences but use an overly simple model of reality on which to base their predictions. In particular, people often treat individuals and social systems as mechanical systems and base their decisions on those mechanical models rather than actuality. For example, your kid does not, in your opinion, eat enough broccoli so you simply force them to eat broccoli. Your “prediction” of the consequences of this may include that the kid will eat more broccoli, be healthier, eventually like broccoli, etc. Depending on the individual child, it may be that none of these will actually occur. In some cases, it may even happen that the exact opposite of your goals will be achieved. The kid may eat less broccoli, be unhealthier, and hate broccoli more than ever. There are many other possible consequences as well. The kid may end up hating meals with the family or hating you or hating the color green. 

When it comes to individuals and social systems, it is hard to know what the net effect might be. Often though, the most significant cognitive problem that people have is that they are so sure of their prediction that they base their actions on what they think should happen rather than what actually does happen or what might happen. 

As recounted in some detail in the Pattern, “Reality Check,” instituting a new social reward or punishment system often does indeed change behavior, but not necessarily in the desired manner. If, for instance, programmers are now rewarded on the basis of lines of code written, they might indeed write more lines of code but many of those lines of code may be unnecessary. You might write 1000 lines of code or you could spend time thinking about the problem and then write two lines of code that accomplish the same result. Will you do so if you are only rewarded 1/500 th of the bonus?  

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Similarly, you may measure the performance of service technicians by how many calls they “handle” during their shift. But if that is the main or sole measure, you may end up having those service people tend to offer trivial or even useless advice based on insufficient information. In all these cases, if management keeps seeing what really happens, any damage done by having an inaccurate predictive model of what will happen as a result of a change will be mitigated. But in a system, whether private or governmental, where people are mainly motivated to keep management happy by telling them what they want to hear, instead of correcting a poor intervention, the problems caused by inadequate models will tend to multiply, fester, or explode. 

So: 

Think of possible consequences and try to determine which ones are most likely. Then, observe what really does happen. This helps avoid turning an issue into a disaster and, over time, it also helps you develop more realistic models of reality. It will also tend to put you in the habit of taking a flexible and reality-based approach to your decisions rather than one that is based on a rigid and inaccurate model of how things should be. The latter approach to decisions will not only make you individually ineffective; it will also make it almost impossible to work well with others (unless everyone involved shares the same inaccurate model). 

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Author Page on Amazon. 

The Update Problem

Essays on America: Labelism

Essays on America: The Game

The Invisibility Cloak of Habit

Timeline for RIME

Guernica

There Never was a Civil War

The Crows and Me

After All

At Least He’s Our Monster

The Siren Song

Occam’s Chain Saw Massacre

Math Class: Who are you?

The First Ring of Empathy

Sadie and the Lighty Ball

Roar, Ocean, Roar

Life Will Find a Way

Cancer Always Loses in the End

Tools of Thought

14 Sunday Dec 2025

Posted by petersironwood in AI, creativity, design rationale, management, psychology, science, Uncategorized

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AI, chatgpt, index, life, problem formulation, problem framing, problem solving, sense-making, summary, technology, thinking, tools of thought, writing

Tools of Thought (Summary and Index)

In December, 2018, I began writing a series of essays on “tools of thought.” I realize that many readers probably read these tools at the time they were first published. However, in times of great division such as those we now face, effective thinking is more important than ever yet every day in the news and in social media, I see many examples that overlook even the most basic tools of thought. I therefore decided that it would be worthwhile to reprint the index of such tools now.

I suppose many readers will already be familiar with many of these tools. Nonetheless, I think it’s worthwhile to have a compilation of tools. After all — plumbers, carpenters, programmers, piano tuners, sales people — they all have tool kits. I see at least three advantages to having them together in some one place.

Without a toolkit you may be prone to try to use the tool that just so happens to be nearest to hand at the time you encounter the problem. You need to tighten a screw and you happen to have a penny in your pocket. You don’t feel like walking all the way down into the garage to get your toolkit. A penny will do. I get it. But for more serious work, you are going to want to consider the whole toolkit and choose the tool that’s most appropriate to the situation at hand.

First, then, the existence of a toolkit serves as a reminder of all the tools at your disposal. This will help you choose appropriately. 

Second, you may only be familiar with one or two ways to use a tool. I may have thought of ways to use a tool that are different from the way you use it. In the same way, you undoubtedly know useful things about these tools of thought that I have never thought of. We can learn from each other. Readers are more than welcome to comment on uses, misuses, and variations.

Third, having all the tools together may stimulate people to invent new tools or see a way to use two or more in sequence and begin to think about the handoff between two tools. 

Here’s an index to the toolkit so far.

Many Paths(December 5, 2018). The temptation is great to jump to a conclusion, snap up the first shiny object that looks like bait and charge ahead! After all, “he who hesitates is lost!” But there is also, “look before you leap.” What works best for me in many circumstances is to think of many possible paths before deciding on one. This is a cousin to the Pattern: Iroquois Rule of Six. This heuristic is a little broader and is sometimes called “Alternatives Thinking.”

Many Paths

And then what?(Dec. 6, 2018). This is sometimes called “Consequential Thinking.” The idea is simple: think not just about how you’ll feel and how a decision will affect you this moment but what will happen next. How will others react? It’s pretty easy to break laws if you set your mind to it. But what are the likely consequences?

And, then what?

Positive Feedback Loops(December 7, 2018). Also known as a virtuous or vicious circle. If you drink too much of a depressant drug (e.g., alcohol or opioids), that can cause increased nervousness and anxiety which leads you to want more of the drug. Unfortunately, it also makes your body more tolerant of the drug so you need more to feel the same relief. So, you take more but this makes you even more irritable when it wears off.

Systems Thinking: Positive Feedback Loops

Meta-Cognition.(December 8, 2018). This is basically thinking about thinking. For example, if you are especially good at math, then you tend to do well in math! Over time, if your meta-cognition is accurate, you will know that you are good in math and you can use that information about your own cognition to make decisions about the education you choose, your job, your methods of representing and solving problems and so on.

Meta-Cognition

Theory of Mind(December 9, 2018). Theory of Mind tasks require us to imagine the state of another mind. It is slightly different from empathy, but a close cousin. Good mystery writers – and good generals – may be particularly skilled at knowing what someone else knows, infers, thinks, feels and therefore, how they are likely to act.

Theory of Mind

Regression to the Mean(December 10, 2018). This refers to a statistical artifact that you sometimes need to watch out for. If you choose to work with the “best” or “worst” or “strongest” or “weakest” and then measure them again later, their extreme scores will be less extreme. The tool is to make sure that you don’t make untoward inferences from that change in the results of the measurement.

Regression to the Mean

Representation(December 11, 2018): The way we represent a problem can make a huge difference in how easy it is to solve it. Of course, we all know this, and yet, it is easy to fall into the potential trap of always using the same representations for the same types of problems. Sometimes, another representation can lead you to completely different – and better – solutions.

 Representation 

Metaphor I (December 12, 2018): Do we make a conscious choice about the metaphors we use? How can metaphors influence behavior?

Metaphors We Live By and Die By

Metaphor II (December 13, 2018): Two worked examples: Disease is an Enemy and Politics is War.

Metaphors We Live and Die By: Part 2

Imagination (December 14, 2018): All children show imagination. Many adults mainly see it as a tool for increasing their misery; viz., by only imagining the worst. Instead of a tool to help them explore, it becomes a “tool” to keep themselves from exploring by making everything outside the habitual path look scary.

Imagination

Fraught Framing (December 16, 2018): Often, how we frame a problem is the most crucial step in solving it. In this essay, several cases are examined in which people presume a zero-sum game when it certainly need not be.

Fraught Framing: The Virulent “Versus” Virus

Fraught Framing II(December 17, 2018). A continuation of thinking about framing. This essay focuses on how easy it sometimes is to confuse the current state of something with its unalterable essence or nature. 

Fraught Framing: The Presumed Being-ness of State-ness

Negative Space(December 17, 2018). Negative space is the space between. Often we separate a situation into foreground and background, or into objects and field, or into assumptions and solution space. What if we reverse these designations?

Negative Space

Problem Finding(December 18, 2018). Most often in our education, we are handed problems and told to solve them. In real life, success is as much about being able to find problems or see problems in order to realize that there is even something to fix.

Problem Finding

More recently, I wrote a series of posts about the importance of Problem Finding, Problem Framing, and Problem Formulation. I haven’t yet put this in the form of “Tools of Thought” — these posts are specific experiences from my own life where I initially mis-formulated a problem or watched my friends do that. 

The Doorbell’s Ringing! Can you get it?
Reframing the Problem: Paperwork & Working Paper
Problem Framing: Good Point!
I Say: Hello! You Say: “What City Please?”
I Went in Seeking Clarity
Problem Formulation: Who Knows What?
Wordless Perfection
How to Frame Your Own Hamster Wheel
Measure for Measure
The Slow-Seeming Snapping Turtle
A Long Day’s Journey into Hangover
Training Your Professor for Fun & Profit
Astronomy Lesson: Invisible Circles
Tag! You’re it!
Ohayōgozaimasu
Career Advice from Polonius

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Author Page on Amazon

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Non-Linearity. (December 20, 2018). We often think that things are linear when they may not be. In some cases, they can be severely non-linear. Increasing the force on a joint may actually make it stronger. But if increased force is added too quickly, rather than strengthening the joint even further, it can destroy it. The same is true of a system like American democracy.

Non-Linearity

Resonance. (December 20, 2018). If you add your effort to something at the right time, you are able to multiply the impact of your effort. This is true in sports, in music, and in social change.

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Resonance

Symmetry(December 23, 2018). There are many kinds of symmetry and symmetry is found in many places; it is rampant in nature, but humans in all different cultures also use symmetry. It exists at macro scales and micro scales. It exists in physical reality and in social relationships.

Symmetry

Other posts that are related to various mental errors you might want to avoid.

Labelism

Wednesday

The Stopping Rule

Finding the Mustard

What about the Butter Dish?

Where does your Loyalty Lie?

Roar, Ocean, Roar

The Update Problem

The Invisibility Cloak of Habit

The Impossible

Your Cage is Unlocked

We won the war! We won the war!

The self-made man

The Silent Pies

13 Saturday Dec 2025

Posted by petersironwood in America, family, fiction, psychology, story, Uncategorized

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collaboration, cooperation, family, fiction, life, politics, story, teamwork, truth, USA, writing

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The first time I won the prize, I was only 8. I had only had my two-wheeler for about a year when my gang of neighbor guys jointly decided it would be a lot more fun to ride our bikes if they made as much noise as real motorcycles. I can’t speak for the others, but it never occurred to me that other people in the neighborhood might not find this increased noise level “really cool!” 

Of course, we weren’t always riding our bikes. Sometimes we played in Lynn Circle at the end of our road. It served as a makeshift playground for baseball, kickball, and soccer as well as a free hippodrome for our races. This arrangement had one slight flaw. There were no fences. So, invariably, a ball would go careening off the pavement onto someone’s lawn. 

In our neighborhood, everyone’s house looked fairly similar, but they expressed themselves through their small gardens and lawns. Some people, like my dad, really worked at making our small lot at least something gardenish. Other people did little but mow their lawn every so often. But some treated their lawns as they might, at any moment, be teleported to the Master’s Golf Tournament for emergency green replacement. Universally, these people had no children at home. When that was so, none of them interacted much with the kids, the parents of the kids, or even, each other, as I can recall. 

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When a stray ball dribbled up into our lawn, someone just ran up and got the ball. No big deal. But if someone hit a ball into one of the three lawns that were antiseptic enough to serve as operating tables for open heart surgery–YIKES! Of these, the most stringent by far was “Old Lady Lynn.” When a ball went into one of the antiseptic lawns, we tried to reconnoiter the situation before even attempting to grab our ball back. We would consider whether there was a car in the driveway, whether there was any sign of life coming from the domicile in question. Only if we were fairly sure no-one was at home would we walk and get the ball. If we weren’t sure, we’d run up and snatch it as quickly as possible and then duck into a “friendly” back yard quickly enough so that we wouldn’t be identified. 

Old Lady Lynn always seemed to be at home. We imagined, because of her invariable and instantaneous reaction, that she spent all her waking hours peering out between curtains at her lawn to insure that none of us trampled her grass. 

Our gang decided to begin our little decibel enhancement project by each of us buying the loudest bell we could find. These were not modern, laser-guided, AI-enhanced sonic systems but simple bells that you had to operate with your thumb. It’s intended use was to prevent injuries and save lives by giving the bike rider a way to “warn” others of their impending presence to that the other person so they didn’t accidentally wonder into your path.

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We didn’t give that much thought. But we did give thought to how cool it sounded when we all rode around the circle clanging the bells.  Of course, even way back then, if you had a new toy or technology, you had to show it off incessantly and that’s what we did. 

Unlike the instantaneous reaction Old Lady Lynn had to our incursions onto her lawn, it took several days for the complaint to filter back to my parents. My parents (thank goodness) were not the sort to take my side regardless of ethics or consequences. I convinced my buddies that if we didn’t strike a compromise, our parents would take all our bells away. Our development project at that time, consisted of only three paved streets, but there were plenty of interconnecting dirt roads and paths that sported no houses on either side. Now, when we left the paved roads of civilization and rode off onto the dirt roads through the woods, we celebrated with cheers and bells as we crossed the threshold into non-civilization, a place where we could talk with each other without the constant reminders of parents and parenting. 

The golden sunrise glows through delicate leaves covered with dew drops.

A few days later, I was reading a book about dinosaurs when I heard a knock at the door. Soon, I heard the unmistakable wobbly tones of Old Lady Lynn. I couldn’t hear what she was saying nor what my parents said, but they sounded friendly. Then, the unbelievable happened. I heard them all laugh. It had never occurred to me that Old Lady Lynn would ever–could ever– laugh, or that she ever had laughed. 

I debated whether my appearance would make things better or make things worse, but in the end, I felt I I had to participate in whatever was happening. I hadn’t even finished opening my own door when I noticed a most amazing aroma! My eagerness spiked and I trotted into the kitchen. Steaming on the table: Not one but two warm, freshly baked blueberry pies. That smelled delicious!

My mom said, “Look, Mrs. Lynn was so happy you got those boys not make that bell clanging racket near her house and instead having your No-Bell in the Neighborhood Policy, she baked two pies.” 

The pies were amazing, but what was even more amazing that Mrs. Lynn became friends with my parents, and even with me. Every year, for the next six years we lived there, Mrs. Lynn gave me two pies. No two years were identical. All the pies were fresh baked and delicious: blueberry, raspberry, rhubarb, pumpkin, custard, cherry, and—my personal favorite—pecan pie. 

———————

Now, more than seventy years later, when I take Sadie for her morning walk, we often walk by a property with a self-proclaimed “Invisible Fence.” It’s been around for awhile, but it was invented in 1973; that is, about 20 years after the story recounted above took place. My neighbor’s invisible fence does seem to work for her two large and friendly dogs. They bark as we pass but do not accost us on the road. 

But the self-imposed boundaries of invisible fences have a long history in humankind. 

The reality is that we’re all part of one Great Tree of Life. 

All fences are temporary but, 

The impact of connection ripples forever. 

———

Author page

Math Class

You Must Remember This

Ripples

Roar, Ocean, Roar

Imagine All the People…

The Dance of Billions

The First Ring of Empathy

A Pattern Language for Cooperation and Collaboration

Your Cage is Unlocked

Impossible

Madison Keys, Francis Scott Key, the “Prevent Defense” and giving away the Keys to the Kingdom. 

12 Friday Dec 2025

Posted by petersironwood in America, family, management, psychology, sports, Uncategorized

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art, books, bravery, Business, career, choice, courage, HCI, human factors, IBM, life, school, sports, technology, Travel, UX

Madison Keys, Francis Scott Key, the “Prevent Defense” and giving away the Keys to the Kingdom. 

Madison Keys, for those who don’t know, is an up-and-coming American tennis player. In Friday’s Wimbledon match of July, 2018, Madison sprinted to an early 4-1 lead. She accomplished this through a combination of ace serves and torrid ground strokes. Then, in an attempt to consolidate, or protect her lead, or play the (in)famous “prevent defense” imported from losing football coaches, she managed to stop hitting through the ball – guiding it carefully instead — into the net or well long or just inches wide. 

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Please understand that Madison Keys is a wonderful tennis player. And, her “retreat” to being “careful” and playing the “prevent defense” is a common error that both professional and amateur players fall prey to. It should also be pointed out that what appears to be overly conservative play to me, as an outside observer, could easily be due to some other cause such as a slight injury or, even more likely, because her opponent adjusted to Madison’s game. Whether or not she lost because of using the “prevent defense” no-one can say for sure. But I can say with certainty that many people in many sports have lost precisely because they stopped trying to “win” and instead tried to protect their lead by being overly conservative; changing the approach that got them ahead. 

Francis Scott Key, of course, wrote the words to the American National Anthem which ends on the phrase, “…the home of the brave.” Of course, every nation has stories of people behaving bravely and the United States of America is no exception. For the American colonies to rebel against the far superior naval and land forces (to say nothing of sheer wealth) of the British Empire certainly qualifies as “brave.” 

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In my reading of American history, one of our strengths has always been taking risks in doing things in new and different ways. In other words, one of our strengths has been being brave. Until now. Now, we seem in full retreat. We are plunging headlong into the losing “prevent defense” borrowed from American football. 

American football can hardly be called a “gentle sport” – the risk of injury is ever present and now we know that even those who manage to escape broken legs and torn ligaments may suffer internal brain damage. But there is still the tendency of many coaches to play the “prevent defense.” In case you’re unfamiliar with American football, here is an illustration of the effect of the “prevent defense” on the score. A team plays a particular way for 3 quarters of the game and is ahead 42-21. If you’re a fan of linear extrapolation, you might expect that  the final score might be something like 56-28. But coaches sometimes want to “make sure” they win so they play the “prevent defense” which basically means you let the other team make first down after first down and therefore keep possession of the ball and score, though somewhat slowly. The coach suddenly loses confidence in the method which has worked for 3/4 of the game. It is not at all unusual for the team who employs this “prevent defense” to lose; in this example, perhaps, 42-48. They “let” the other team get one first down after another. 

red people outside sport

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America has apparently decided, now, to play a “prevent defense.” Rather than being innovative and bold and embracing the challenges of new inventions and international competition, we instead want to “hold on to our lead” and introduce protective tariffs just as we did right before the Great Depression. Rather than accepting immigrants with different foods, customs, dress, languages, and religions — we are now going to “hold on to what we have” and try to prevent any further evolution. In the case of American football, the prevent defense sometimes works. In the case of past civilizations that tried to isolate themselves, it hasn’t and it won’t. 

landscape photography of gray rock formation

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This is not to say that America (or any other country) should right now have “open borders” and let everyone in for every purpose. (Nor, by the way, has any politician of any party suggested that we do that). Nor should a tennis player hit every shot with all their might. Nor should a football team try the riskiest possible plays at every turn. All systems need to strike a balance between replicating what works–providing defense of what one has while also bravely exploring what is new and different. That is what nature does. Every generation “replicates” aspects of the previous generation but every generation also explores new directions. Life does this through sexual selection, mutation, and cross over. 

This balance plays out in career as well. You need to decide for yourself how much and what kinds of risks to take. When I obtained my doctorate in experimental psychology, for example, it would have been relatively un-risky in many ways to get a tenure-track faculty position. Instead, I chose managing a research project on the psychology of aging at Harvard Med School. To be sure, this is far less than the risk that some people take when; e.g., joining “Doctors without borders” or sinking all their life savings (along with all the life savings of their friends and relatives) into a start-up. 

At the time, I was married and had three small children. Under these circumstances, I would not have felt comfortable having no guaranteed income. On the other hand, I was quite confident that I could write a grant proposal to continue to get funded by “soft money.” Indeed, I did write such a proposal along with James Fozard and Nancy Waugh who were at once my colleagues, my bosses, and my mentors. Our grant proposal was not funded or rejected but “deferred” and then it was deferred again. At that point, only one month of funding remained before I would be out of a job. I began to look elsewhere. In retrospect, we all realized it would have been much wiser to have a series of overlapping grants so that all of our “funding eggs” were never in one “funding agency’s basket.” 

brown chicken egg

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I began looking for other jobs and had a variety of offers from colleges, universities, and large companies. I chose IBM Research. As it turned out, by the way, our grant proposal was ultimately funded for three years, but we only found out after I had already committed to go to IBM. During this job search, I was struck by something else. My dissertation had been on problem solving but my “post-doc” was in the psychology of aging. So far as I could tell, this didn’t bother any of the interviewers in industry in the slightest. But it really freaked out some people in academia. It became clear that one was “expected” in academia, at least by many, that one would choose a specialty and stick with it. Perhaps, one need not do that during their entire academic career, but anything less than a decade smacked of dilettantism. At least, that was how it felt to me as an interviewee. By contrast, it didn’t bother the people who interviewed me at Ford or GM that I knew nothing more than the average person about cars and had never really thought about the human factors of automobiles. 

Photo by Pixabay on Pexels.com
Photo by Pixabay on Pexels.com
Photo by Pixabay on Pexels.com
Photo by Pixabay on Pexels.com

The industrial jobs paid more than the academic jobs and that played some part in my decision. The job at GM sounded particularly interesting. I would be “the” experimental psychologist in a small inter-disciplinary group of about ten people who were essentially tasked with trying to predict the future. The “team” included an economist, a mathematician, a social psychologist, and someone who looked for trends in word frequencies in newspapers. The year was 1973 and US auto companies were shocked and surprised to learn that their customers suddenly cared about gas mileage! These companies didn’t want to be shocked and surprised like that again. The assignment reminded me of Isaac Asimov’s fictional character in the Foundation Trilogy — Harry Seldon — who founded “psychohistory.” We had the chance to do it in “real life.” It sounded pretty exciting! 

antique auto automobile automotive

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On the other hand, cars seemed to me to be fundamentally an “old” technology while computers were the wave of the future. It also occurred to me that a group of ten people from quite different disciplines trying to predict the future might sound very cool to me and apparently to the current head of research at GM, but it might seem far more dispensable to the next head of research. The IBM problem that I was to solve was much more fundamental. IBM saw that the difficulty of using computers could be a limiting factor in their future growth. I had had enough experience with people — and with computers — to see this as a genuine and enduring problem for IBM (and other computer companies); not as a problem that was temporary (such as the “oil crisis” appeared to be in the early 70’s). 

airport business cabinets center

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There were a number of additional reasons I chose IBM. IBM Research’s population at the time showed far more diversity than that of the auto companies. None of them were very diverse when it came to male/female ratios. At least IBM Research did have people from many different countries working there and it probably helped their case that an IBM Researcher had just been awarded a Nobel Prize. Furthermore, the car company research buildings bored me; they were the typical rectangular prisms that characterize most of corporate America. In other words, they were nothing special. Aero Saarinen however, had designed the IBM Watson Research Lab. It sat like an alien black spaceship ready to launch humanity into a conceptual future. It was set like an onyx jewel atop the jade hills of Westchester. 

I had mistakenly thought that because New York City was such a giant metropolis, everything north of “The City” (as locals call it) would be concrete and steel for a hundred miles. But no! Westchester was full of cut granite, rolling hills, public parks of forests marbled with stone walls and cooled by clear blue lakes. My commute turned out to be a twenty minute, trafficless drive through a magical countryside. By contrast, since Detroit car companies at that time held a lot of political power, there was no public transportation to speak of in the area. Everyone who worked at the car company headquarters spent at least an hour in bumper to bumper traffic going to work and another hour in bumper to bumper traffic heading back home. In terms of natural beauty, Warren Michigan just doesn’t compare with Yorktown Heights, NY. Yorktown Heights even smelled better. I came for my interview just as the leaves began painting their autumn rainbow palette. Even the roads in Westchester county seemed more creative. They wandered through the land as though illustrative of Brownian motion, while Detroit area roads were as imaginative as graph paper. Northern Westchester county sports many more houses now than it did when I moved there in late 1973, but you can still see the essential difference from these aerial photos. 

YorktownHts-map

Warren-map

The IBM company itself struck me as classy. It wasn’t only the Research Center. Everything about the company stated “first class.” Don’t get me wrong. It wasn’t a trivial decision. After grad school in Ann Arbor, a job in Warren kept me in the neighborhood I was familiar with. A job at Ford or GM meant I could visit my family and friends in northern Ohio much more easily as well as my colleagues, friends and professors at the U of M. The offer from IBM felt to me like an offer from the New York Yankees. Of course, going to a top-notch team also meant more difficult competition from my peers. I was, in effect, setting myself up to go head to head with extremely well-educated and smart people from around the world. 

You also need to understand that in 1973, I would be only the fourth Ph.D. psychologist in a building filled with physicists, mathematicians, computer scientists, engineers, and materials scientists. In other words, nearly all the researchers considered themselves to be “hard scientists” who delved in quantitative realms. This did not particularly bother me. At the time, I wanted very much to help evolve psychology to be more quantitative in its approach. And yet, there were some nagging doubts that perhaps I should have picked a less risky job in a psychology department. 

The first week at IBM, my manager, John Gould introduced me to yet another guy named “John” —  a physicist whose office was near mine on aisle 19. This guy had something like 100 patents. A few days later, I overheard one of that John’s younger colleagues in the hallway excitedly describing some new findings. Something like the following transpired: 

“John! John! You can’t believe it! I just got these results! We’re at 6.2 x 10 ** 15th!” 

His older colleague replied, “Really? Are you sure? 6.2 x 10 ** 15th?” 

John’s younger colleague, still bubbling with enthusiasm: “Yes! Yes! That’s right. You know. Within three orders of magnitude one way or the other!” 

I thought to myself, “three orders of magnitude one way or the other? I can manage that! Even in psychology!” I no longer suffered from “physics envy.” I felt a bit more confident in the correctness of my decision to jump into these waters which were awash with sharp-witted experts in the ‘hard’ sciences. It might be risky, but not absurdly risky.

person riding bike making trek on thin air

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Of course, your mileage may differ. You might be quite willing to take a much riskier path or a less risky one. Or, maybe the physical location or how much of a commute is of less interest to you than picking the job that most advances your career or pays the most salary. There’s nothing wrong with those choices. But note what you actually feel. Don’t optimize in a sequence of boxes. That is, you might decide that your career is more important than how long your commute is. Fair enough. But there are limits. Imagine two jobs that are extremely similar and one is most likely a little better for your career but you have to commute two hours each way versus 5 minutes for the one that’s not quite so good for your career. Which one would you pick? 

In life beyond tennis and beyond football, one also has to realize that your assessment of risk is not necessarily your actual risk. Many people have chosen “sure” careers or “sure” work at an “old, reliable” company only to discover that the “sure thing” actually turned out to be a big risk. I recall, for example, reading an article in INC., magazine that two “sure fire” small businesses were videotape rental stores and video game arcades. Within a few years of that article, they were almost sure-fire losers. Remember Woolworths? Montgomery Ward?

At the time I joined IBM, it was a dominant force in the computer industry. But there are no guarantees — not in career choices, not in tennis strategy, not in football strategy, not in playing the “prevent defense” when it comes to America. The irony of trying too hard to “play it safe” is illustrated this short story about my neighbor from Akron: 

police army commando special task force

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Wilbur’s Story

Wilbur’s dead. Died in Nam. And, the question I keep wanting to ask him is: “Did it help you face the real dangers? All those hours together we played soldier?”

Wilbur’s family moved next door from West Virginia when I was eleven. They were stupendously uneducated. Wilbur was my buddy though. We were rock-fighting the oaks of the forest when he tried to heave a huge toaster-oven sized rock over my head. Endless waiting in the Emergency Room. Stitches. My hair still doesn’t grow straight there. “Friendly fire.”

More often, we used wooden swords to slash our way through the blackberry and wild rose jungle of The Enemy; parry the blows of the wildly swinging grapevines; hide out in the hollow tree; launch the sudden ambush.

We matched strategy wits on the RISK board, on the chess board, plastic soldier set-ups. I always won. Still, Wilbur made me think — more than school ever did.

One day, for some stupid reason, he insisted on fighting me. I punched him once (truly lightly) on the nose. He bled. He fled crying home to mama. Wilbur couldn’t stand the sight of blood.

I guess you got your fill of that in Nam, Wilbur.

After two tours of dangerous jungle combat, he was finally to ship home, safe and sound, tour over — thank God!

He slipped on a bar of soap in the shower and smashed the back of his head on the cement floor.

Wilbur finally answers me across the years and miles: “So much for Danger, buddy,” he laughs, “Go for it!”

Thanks, Wilbur.

Thanks.

 

 

 

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—————————————-

And, no, I will not be giving away the keys to the kingdom. Your days of fighting for freedom may be over. Mine have barely begun.


Author Page on Amazon

Where does your loyalty lie? 

Essays on America: The Game

The Three Blind Mice

Roar, Ocean, Roar

Stoned Soup

The First Ring of Empathy

Math Class: Who are you?

The Last Gleam of Twilight

The Impossible

Wordless Perfection

11 Thursday Dec 2025

Posted by petersironwood in AI, creativity, HCI, psychology, sports, Uncategorized, user experience

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AI, art, creativity, drawing, education, intuition, life, problem formulation, Representation, Right-brain, sports, thinking, writing

————————————

Sirius Black

I like to write. In fact, I like to write so much that I wrote before I could even read. When my early crayon “writings” in my grandfather’s books were discovered, instead of praise, I was spanked. I’m not even sure they really tried hard to read my learned annotations. Their missing the point didn’t deter me though. I like words! I like writing poetry, essays, stories, plays, and even novels. Words help human beings communicate and collaborate. However…

In this essay, I’d like to mention some instances of wordless success.

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In the neighborhood where I grew up, we spent most of the summer playing baseball, basketball, and football. I had never played golf nor paid much attention to it as a kid and when it came on TV I walked by with hardly a glance. At that point in my life, I deigned to consider something a sport only if there were a good chance to smash into one of the other players. I had never touched a golf club or a golf ball until one summer day when I was about ten, one of the kids brought one of his uncle’s golf clubs to our baseball field along with a tee and a golf ball. He demonstrated how to hit the ball and showed us how to put our hands on the club. Kids took turns hitting the ball and retrieving it for another go. 

When it came to my turn, I mainly remember just loving the shiny wood of the club. I loved wooden baseball bats back then, but the driver!! Wow! That was in a whole different category of cool. You didn’t need to be an adult or a golfer to know that! It shone opalesquely. I teed up the golf ball, and swung the unfamiliar and impossibly long club.

The resulting sound – exquisite. An explosion. A rifle shot. A cousin of the crack of a home run shot into the upper deck. But more penetrating. More elegant. More poignant.

We all looked up in amazement. My golf shot started low and straight. Then it rose and rose and disappeared far beyond the dirt road that marked the outer limit of our makeshift baseball field. It rose over the hill beyond the road and disappeared into the field beyond. There was no hope of retrieving the golfball. None of us even suggested trying. My shot was wordless perfection. 



Fast forward to graduate school. In the summer afternoons, I got into the habit of playing frisbee with the neighbors. One day, I parked my car and ran into the back yard. One of my neighbors spied me and threw me the frisbee, I noticed that they had placed an empty beer can atop a utility box about a hundred feet away. I caught the frisbee on the run and threw it with the next step. The frisbee sailed with a nice arc and smacked the beer can right off. My neighbors said that they had been trying to knock that beer can off for about a half hour.  My throw was wordless perfection.

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Meanwhile, at the University of Michigan, several of my friends and classmates liked puzzles as much as I did. One such puzzle consisted of a triangular “board” with a regular pattern of holes. There were pegs in every hole save one. The goal was to “jump” pegs much as one does in checkers and then remove that peg from the board. Eventually, one was supposed to end up with one and only one peg. I worked on it for awhile and thought about various strategies and moves. I couldn’t seem to solve it. My phone rang. I picked it up and conversed with my friend. Meanwhile, I toyed with the puzzle while my “mind” was on the conversation. I toyed with the puzzle and solved it. Wordless perfection.

A few months or weeks later, my officemates and I worked on another puzzle. This one consisted of four cubes (aka “instant insanity”). Each cube had a different arrangement of colors. The goal was to arrange the cubes so that every “row” of faces had four different colors. I fiddled with the puzzle trying out various strategies and noting various symmetries and asymmetries. Once again, someone called and interrupted my musings. Again, I idly fiddled around with the cubes while talking on the phone. And solved it. Wordless perfection strikes again! 

https://en.wikipedia.org/wiki/Instant_Insanity

Fast forward four decades. For best results, borrow Hermione’s time-turner. Otherwise, you’ll have to rely on your imagination. 

Betty Edwards (“Drawing on the Right Side of the Brain”) gave a plenary address at one of the Association of Computing Machinery’s premier conferences: CHI. Among other things, she showed example after example of how much people improved in their drawing skills based on her methods. A few months later, it so happened that my wife and I had an opportunity to go to one of her five day classes. 

I would have to honestly say, that course was one of the best educational experiences of my life. It was an immensely pleasurable experience in and of itself. Beyond that, the results in terms of improved drawing skills were dramatic. And, as if that were not enough, I looked at the world differently. I noticed visual things about the environment that I had never seen before. 

The essence of the method Betty Edwards uses is to get you to observe and draw — while “shutting up” or “turning off” the part of your brain (or mind) that talks and plans and categorizes. In one exercise, for instance, we took a line drawing and turned it upside down. Then, we copied that image onto our pad of paper by carefully observing and drawing what we saw. She also instructed us not to try to “guess” what they were drawing, but just to copy the lines. When every line had been copied, we turned the drawings right side up again. The result jolted me! I had created an excellent likeness of the original. So had everyone else in class. The quality stunned me. Wordless Perfection.

There’s a larger lesson here, too. 

I had within me, the capacity to make a very decent copy of a drawing, but had never achieved that result for 60 years. All it took was five minutes of instruction to enable me to achieve that. 

What else is like that? Imagine that we have, not just one, but a dozen or even a dozen dozen “hidden talents.” Some of them, like drawing, may depend more on Not-Doing than on Doing; on Being rather than Achieving.

There was a longer lasting side-effect of the drawing course. My day to day life, as is typical of most achievement-driven people had been very much “goal-driven” and there was always an ongoing plan and dialogue. After having learned to turn that off in order to draw, I can also turn it off in order to see, whether or not I draw. Seeing (or otherwise sensing or feeling) in the moment also makes me much less judgmental. If you decide to think about the physical appearance of people in terms of how interesting they would be to draw, you end up with an entirely different way of thinking about people’s appearance. 

What are your hidden talents? 

——————————————

The Invisibility Cloak of Habit 

Big Zig-Zag Canyon 

The Great Race to the Finish!

You Fool!

Horizons University

How the Nightingale Learned to Sing

Comes the Dawn

Dog Trainers

Where Does Your Loyalty Lie?

The Dance of Billions

Roar, Ocean, Roar

Imagine All the People

Your Cage is Unlocked

Author Page on Amazon

I Went in Seeking Clarity

10 Wednesday Dec 2025

Posted by petersironwood in Uncategorized, psychology, creativity, user experience, HCI, AI

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AI, Artificial Intelligence, coding, parallel programming, problem formulation, problem framing, problem solving, programming, technology, thinking, tools, X10

“I stopped by the bar at 3 A.M.
To seek solace in a bottle or possibly a friend
And I woke up with a headache like my head against a board
Twice as cloudy as I’d been the night before
And I went in seeking clarity” — Lyrics from The Indigo Girls: Closer to Fine

If you think programming is cognitively difficult, try parallel programming. It is generally harder to design, to code, and to debug than its sequential cousin. One of the fun projects I worked on at IBM Research was on the X10 language which was designed to enable parallel programmers to be more productive. Among other things, I fostered community among X10 programmers and used analytic techniques to show that X10 “should be” more productive. Although these analytic techniques are very useful, we also wanted to get some empirical data that the language was, in actuality, more productive. 


Photo by Dominika Greguu0161ovu00e1 on Pexels.com


One part of those empirical studies involved comparing people doing a few parallel programming tasks in X10 to those using a popular competitor. But, like many other “chicken and egg” problems, there were no X10 programmers (other than the inventors and their colleagues). I was part of a team who travelled to Rice University in Houston. The design called for one group to spend a chunk of time learning X10 (perhaps half a day) and another chunk of time coding some problems.

Besides the three behavioral scientists like me who were there to make observations, there were also three high-powered Ph.D. computer scientists present who would teach the language. Programmers tend to be very smart. Parallel programmers tend to be very very smart. People who can invent better languages to do parallel programming? You do the math.



Anyway, after the volunteers students had arrived, one of the main designers of the language began to “teach them” X10. 

But — there was a problem. 

The powerpoint presentation designed to teach the students X10 was far too blurry to read!

Immediately, the three computer scientists tried to issue commands to the projector to put the images in focus. Nothing worked. The three of them began a fascinating problem solving conversation. The conversation concerned what communication protocol(s) among the PC, the projector, and the controller was the likely source of the problem. I suppose it might not have been fascinating to everyone, but it was to me. First, it fascinated me because I was learning something about computer science and communication protocols. Second, it fascinated me because I loved to watch these people think. I suppose many of the advanced computer science students who were in this classroom to learn X10 also found it interesting. Third, I found it fascinating because my dissertation was about human problem solving and I’ve been interested in it ever since.

But the study itself had completely stalled. 

After a few minutes of fascinating conversation that did nothing to focus the images, something possessed me to walk over to the projector and turn the lens by hand. The images were immediately clear and the rest of the experiment continued. 

The three computer scientists had “framed” the problem as a computer science problem and I found the discussion that sprang from that framing to be fascinating. But one of the part-time jobs I had had as an undergraduate was as a “projectionist” at Case-Western, and it was that experience that allowed me to try framing the problem differently. All of us have huge reservoirs of experience outside of our professional “training” and those experiences can sometimes be important sources of alternative ways to frame a problem, issue, or situation.

———————————-

Essays on America: Wednesday 

Essays on America: The Update Problem 

Essays on America: The Stopping Rule

The Invisibility Cloak of Habit

Labelism

Tools of Thought

Where Does Your Loyalty Lie?

Stoned Soup

The First Ring of Empathy

Travels with Sadie: Teamwork

Author Page on Amazon

   

I Say: Hello! You Say: “What City Please?”

09 Tuesday Dec 2025

Posted by petersironwood in AI, creativity, design rationale, HCI, management, psychology, Uncategorized, user experience

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art, communication, conversation, Design, efficiency, HCI, human factors, photography, primacy, problem framing, problem solving, sensemaking, technology, thinking, UX

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In the not so distant past, people would often call directory assistance operators. These operators would find a number for you. For an additional charge, they would dial it for you. In fact, this was a very commonly used system. Phone companies would have large rooms filled with such operators who worked very hard and very politely, communicating with what was often a hostile and irrational public. 

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Customer: “I have to get the number of that bowling alley right near where the A&P used to be before they moved into that new shopping center.”

Operator: “Sir, you haven’t told me what town you’re in. Anyway…”

Customer: “What town?! Why I’m right here in Woburn where I’ve always been!” 

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There were so many operators that the phone companies wanted their processes to be efficient. Operators were trained to be friendly and genial but not chatty. The phone companies searched for better keyboards and better screen layouts to shave a second here or there off the average time it took to handle a call. 

There are some interesting stories in that attempt but that we will save for another article, but here I want to tell you what made the largest single impact on the average time per call. Not a keyboard. Not a display. Not an AI system. 

It was simply changing the greeting. 

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Operators were saying something like: “New England Telephone. How can I help you?” 

After our intervention, operators instead said, “What city please?” It’s shorter and it’s takes less time to say. But the big change was not in how long the operator took to ask the question. The biggest savings was how this change in greeting impacted the customer’s behavior. 

When the operator begins with “How can I help you?” the customer, or at least some fraction of them, are put into a frame of mind of a conversation. They might respond thusly:

“Oh, well, you know my niece is getting married! Yeah! In just a month, and she still hasn’t shopped for a dress! Can you believe it? So, I need the number for that — if it were up to me, I would go traditional, but my niece? She’s — she’s going avant-garde so I need the number of that dress shop on Main Street here in Arlington.” 

Photo by Tuu1ea5n Kiu1ec7t Jr. on Pexels.com

With the “What City Please?” greeting, the customer was apparently put into a more businesslike frame of mind and answers more succinctly. They now understand their role as proving information in a joint problem solving task with the operator. A typical answer would now be:

“Arlington.” 

“In Arlington, what listing?” 

“Dress shop on Main Street.”

The way in which a conversation begins signals what type of conversation it is to be. We know this intuitively. Suppose you walked up to an old friend and they begin with: “Name?” You would be taken aback. On the other hand, suppose you walk up to the line at the DMV and the clerk says, “Hey, have you seen that latest blog post by J. Charles Thomas on problem framing?” You would be equally perplexed! 

Conversation can be thought of partly as a kind of mutual problem solving exercise. And, before that problem solving even begins, one party or the other will tend to “frame” the conversation. That framing can be incredibly important. 

Even the very first words can cause someone to frame what kind of a conversation this is meant to be.

Words matter.

The Primacy Effect and The Destroyer’s Advantage

https://petersironwood.com/2018/02/13/context-setting-entrance/

Essays on America: Wednesday

After the Fall

The Crows and Me

Cancer Always Loses in the End

Come Back to the Light

Imagine All the People…

Roar, Ocean, Roar

The Dance of Billions

How the Nightingale Learned to Sing

Travels with Sadie

The First Ring of Empathy

Donnie Visits Granny!

You Must Remember This

The Walkabout Diaries: Bee Wise

Author Page on Amazon 

Problem Framing: Good Point!

08 Monday Dec 2025

Posted by petersironwood in AI, America, design rationale, HCI, management, psychology, story, Uncategorized, user experience

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AI, art, life, politics, problem finding, problem formulation, problem framing, problem solving, technology, thinking, tools, USA

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You have probably heard variations on this old saw, “To a hammer, everything looks like a nail.” I’ve also heard, “If you have a hammer, everything looks like a nail.” There is also this popular anecdote:

One night, I took my dog out for a walk and I noticed one of my neighbors under a nearby street lamp crawling around on his hands and knees, apparently looking for something. I walked over and asked, “What are you looking for?”

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“My car keys!” He replied.

I have pretty good vision, so I helped him. I didn’t see any car keys so after a minute or so I asked, “Where exactly did you lose your keys?” 

He stood up, cracked his back, and pointed back to a nearby park. “Over there.”

“Over there?! Then, why are you looking under the street lamp? Why aren’t you looking over at the park entrance?”

“Oh, that’s obvious! The light is so much better here!” 

For a time, I had to very interesting and challenging job in the mid 1980’s at IBM Headquarters to try to get the company to pay more attention to the usability of their products and services. As a part of this, I visited IBM locations throughout the world. At one fabrication plant, our tour guide took us by an inspection station. This was not an inspection statement for chips. It consisted of one person whose job was to look through a microscope and make sure that two silver needles were perfectly aligned.

After we left the station, our tour guide confided that they were strongly considering replacing the person with a machine vision system. The anticipated cost would be substantial, but they hypothesized that the system would be more accurate and faster. It was, our host, insisted, just the nature of humans to be slow and inaccurate.

Maybe. 

When I looked at the inspection station however, with my background in human factors, I had a completely different impression of the situation. The inspector sat on a fixed height stool and had to bend his neck at an absurd angle to look into the microscope. He was trying to align these silver needles against a background that had almost the same hue, brightness and saturation. 

Photo by Wesley Carvalho on Pexels.com

Other than blindfolding the man, I’m not sure what they could have done to make the task more unnecessarily difficult. I suggested, and eventually, they implemented, a few inexpensive ergonomic changes and time and accuracy improved.

Like other companies in the technology segment, IBM often saw problems as ones that could be solved by technology. At that time, technology systems was their main business. Since then, they have expanded more fully into software and services. In fact, those services now include experience design.

If you find yourself enamored of technology in general, or some specific class of technology such as machine vision, speech recognition, or machine learning, you might overlook much simpler and cheaper ways to solve problems or ameliorate situations. Of course, you might lose some revenue doing that, but you can also win long term customer loyalty. 

Even if you are a hammer, everything is not a nail. 

That applies as well to User Experience. You might design the most wonderful UX imaginable for a particular product or service. But if it is shoddily made so that it is error prone; if it lacks important functionality; if the sales force is inept; or if service is horrible, those failures can completely overwhelm all the good work you have done on the UX. Because of the nature of UX, you might learn important knowledge or suggestions for other functions as well. It often requires finesse to have such suggestions taken seriously, but with some thought you can do it. 

During my second stint at IBM, I worked for a time in a field known at that time as “Knowledge Management.” One of our potential clients was a major Pharma company who felt that their researchers should do a better job of sharing knowledge across products. They wanted us to design a “knowledge management system” (by which they meant hardware and software) to improve knowledge sharing. 

Simply building a “Knowledge Management System” would be looking under the streetlamp. They knew how to specify a technology solution from IBM and have it installed.

However — they were unwilling to provide any additional space, time, or incentives for their employees to share knowledge with their colleagues!  

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They were convinced that technology would be the silver bullet, the solution, the answer, the Holy Grail, the magic pill. They viewed technology as less disruptive than it would have been to change employee incentives, or space layout, or give them time to actually learn and use the technology system. 

This reaction to “knowledge management” was not unique. It was common.

To me, this seems very similar to the notion that health problems can all be solved with a magic pill. What do you think? 

—————————————

Since originally writing, we have had the spectacle of DOGE: Destroying Our Government’s Effectiveness under the excuse of making it “more efficient.” It might be (as I strongly suspect) that the destruction was quite intentional. It might be (as some think) that it was accidental. In either case, the result was predictable because the method was guaranteed not to work to actually make things more efficient. If you really wanted to do that, you would take the time to understand a system before trying to redesign it. You would identify all relevant stakeholders and get their input. You would not redesign a system using a gang of young hackers but instead use an interdisciplinary team of experienced experts. You would check out your redesign both with those who were doing the work and with at least one group who were not familiar but had similar experience. Then, on the basis of feedback, you would redesign. When you were sure that you had the design right, you would not then institute it everywhere but in one small trial installation.

There’s a pill for that. 

The Pandemic Anti-Academic.

What about the butter dish? 

The invisibility cloak of habit. 

Process re-engineering comes to Baseball

E-Fishiness in Government

Author Page on Amazon

Reframing the Problem: Paperwork & Working Paper

04 Thursday Dec 2025

Posted by petersironwood in AI, creativity, design rationale, HCI, management, psychology, Uncategorized, user experience

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AI, ethics, leadership, life, philosophy, politics, problem finding, problem formulation, problem framing, problem solving, thinking, truth

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Reframing the Problem: Paperwork & Working Paper



This is the second in a series about the importance of correctly framing a problem. Generally, at least in formal American education, the teacher gives you a problem. Not only that, if you are in Algebra class, you know the answer will be an answer based in Algebra. If you are in art class, you’re expected to paint a picture. If you painted a picture in Algebra class, or wrote down a formula in Art Class, they would send you to the principal for punishment. But in real life, how a problem is presented may actually be far from the most elegant solution to the real problem.

Doing a google search on “problem solving” just now yielded 208 million results. Entering “problem framing” only had 182 thousand. A thousand times as much emphasis on problem solving as there was on problem framing. [Update: I redid the search today, a little over three years later. On 3/6/2024, I got 542M hits on “problem solving” and 218K hits on “problem framing” — increases in both but the ratio is even worse than it was in 2021] [Second update: I did the search today, Dec. 4th, 2025, and the information was not given–but that’s the subject of a different post].

Let’s think about that ratio of 542 million to 218 thousand for a moment. Roughly, that’s 2000 to 1. If you have wrongly framed the problem, you not only will not have solved the real problem; what’s worse, you will have often convinced yourself and others that you have solved the problem. This will make it much more difficult to recognize and solve the real problem even for a solitary thinker. And to make a political change required to redirect hundreds or thousands will be incalculably more difficult. 

All of that brings us to today’s story. For about a decade, I worked as executive director of an AI lab for a company in the computers & communication industry. At one point, in the late 1980’s, all employees were all supposed to sign some new paperwork. An office manager called from a building several miles away asking me to have my admin work with his admin to sign up a schedule for all 45 people in my AI lab to go over to his office and sign this paperwork as soon as possible. That would be a mildly interesting logistics problem, and I might even be tempted to step in and help solve it. More likely, if I tried to solve it, some much brighter & more competent colleague would have done it much faster. 

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But why?

Why would I ask each of 45 people to interrupt their work; walk to their cars; drive in traffic; park in a new location; find this guy’s office; walk up there; sign some paper; walk out; find their car; drive back; park again; walk back to their office and try to remember where the heck they were? Instead, I told him that wasn’t happening but he’d be welcome to come over here and have people sign the paperwork. 

You could make an argument that that was 4500% improvement in productivity, but I think that understates the case. The administrator’s work, at least in this regard, was to get this paperwork signed. He didn’t need to do mental calculations to tie these signings together. On the other hand, a lot of the work that the AI folks did was hard mental work. That means that interrupting them would be much more destructive than it would to interrupt the administrator in his watching someone sign their name. Even that understates the case because many of the people in AI worked collaboratively and (perhaps you remember those days) people were working face to face. Software tools to coordinate work were not as sophisticated as they are now. Often, having one team member disappear for a half hour would not only impact their own work, it would impact the work of everyone on the team. 

Quantitatively comparing apples and oranges is always tricky. Of course, I am also biased because my colleagues are people I greatly admire. Nonetheless, it seems obvious that the way the problem was presented was a non-optimal “framing.” It may or may not have been presented that way because of a purely selfish standpoint; that is, wanting to do what’s most convenient for oneself rather than what’s best for the company as a whole. I suspect that it was more likely just the first idea that occurred to him. But in your own life, beware. Sometimes, you will mis-frame a problem because of “natural causes.” But sometimes, people may intentionally hand you a bad framing because they view it as being in their interest to lead you to solve the wrong problem. 

Politics, of course, takes us into another realm entirely. People with political power may pretend to solve one problem while they are really following a completely different agenda. One could imagine, for instance, a head of state claiming to pursue a war for his people when he’s really doing it to keep in power. Or, they could claim they are making cities safe by deploying troops when they are really interested in suppressing the vote in areas that can see through his cons. Or, a would-be dictator could claim they are spending your tax dollars to make government more efficient when that has nothing to do with what they are *actually* doing–which is to collect data on citizens and make the government ineffective in order to have people lose confidence in government and instead invest in private solutions.

Even when people’s motivations are noble or at least clear, it is still quite easy to frame a problem wrongly because of surface features. It may look like a problem that requires calculus, but it is a problem that actually requires psychology or it may look like a problem that requires public relations expertise but what is actually required is ethical leadership.

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——————————————————

Author Page on Amazon

Tools of Thought

A Pattern Language for Collaboration and Cooperation

The Myths of the Veritas: The First Ring of Empathy

Essays on America: Wednesday

Essays on America: The Stopping Rule

Essays on America: The Update Problem

My Cousin Bobby

Facegook

The Ailing King of Agitate

Dog Trainers

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