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Tools of Thought: Metaphors We Live By & Die By

24 Wednesday Dec 2025

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

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analogy, Democracy, elections, Feedback, government, life, love, mental-health, metaphor, politics, problem solving, programming, sense-making, thinking, thought, writing

Metaphors We Live By and Die By

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I love metaphors. I always have. I admit it. I think every youngster does, at least until they are exposed to poetry in English class. I was lucky to have an awesome English teacher who deepened rather than destroyed my natural love of metaphors. There are plenty in my own poems.  but in this post, I am not focusing on metaphors for poetry so much as metaphors that we use in our thinking. Metaphors impact the way we approach situations at work and at home. I was influenced to see this by two main sources. First, Lakoff & Johnson’s book, Metaphors we Live By  was first published in 1980. This book greatly influenced, among other things, our IBM Research team’s study of human-computer interaction. At this point in the history of human-computer interaction and user experience, researchers and practitioners began to explore how various metaphors (e.g.,desktop, trash can, windows, drag and drop) could be used to help users understand the capabilities of computers and how to invoke them. (See, e.g., Carroll, J. and Thomas, J.C. (1982). Metaphor and the cognitive representation of computer systems. IEEE Transactions on Man, Systems, and Cybernetics., SMC-12 (2), pp. 107-116). 

Consider the error messages “Illegal Syntax” and “User Error.” They both put the responsibility for an undesirable state of affairs squarely on the shoulders of the user. “Hey you! User! You did something dastardly! You used illegal syntax.”

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Generally, the term “illegal” implies that you did something that was against the law. It usually implies you did something unethical too. Gerry Weinberg, one of the pioneers of UX/HCI (a keynote speaker at the Gaithersburg Conference),  pointed out that the “legal” syntax of languages often has arbitrary restrictions. It might be more accurate to have an error message that says, “Our programmers were unable to take the time to allow dates to be entered in European or Chinese format. Please enter dates as MM/DD/YYYY as in 08/04/1961 for August 4th, 1961.” This longer message tells the user what was “wrong” with their input and how to correct it as well as conveying the very real truth that the limitation is with the software, not with the user. Similarly, what is called “User Error” actually comes up as a message when the user does something that seemed reasonable to the user and would most likely be interpretable by another human being but was not anticipated or could not be dealt with by the programming team. Suppose it said instead, “Software error. We did not anticipate this kind of input so we can’t deal with it.” Or, in many cases, a more honest message might be: “Software error. We knew people would want to do this, but we didn’t have budget to program properly.”  

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 At the same time I was thinking about metaphors and Human Factors in Computing Systems, I was also conducting therapy as a Fellow at the Institute for Rational Living. I was learning and supervising cognitive behavioral therapy under the direction of Albert Ellis. Here I observed how people used metaphors to help make sense of their lives and make decisions about their lives. For example, as pointed out by Lakoff & Johnson, people often viewed romantic love as a sickness! It is also common to view romantic love as a journey over which you have little or no control. It is understandable why it sometimes feels that way, but such a metaphor is not empowering. It does little to lead you to make reasonable decisions about love or about those whom you love. Think instead of love as a collaborative work of art. 

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The “Love is a collaborative work of art” metaphor encourages you to realize that you must collaborate with your partner to make a relationship work over time. You can’t really collaborate very well unless you communicate. It also encourages you to realize that work is involved. It encourages you to realize that it is a creative endeavor. While you can certainly learn from the successes and mistakes of others, in the end, your relationship is unique. It will take creativity to make your relationship work. It puts the responsibility for the relationship on you and your partner, not on forces beyond your control. 

It isn’t only love about which people often use inappropriate metaphors. For example, when it comes to overcoming addiction, overeating, under-exercising, people often use sin as their over-arching metaphor. “I was bad last night. I had two pieces of pumpkin pie.” “I was horrible all week. I had those evil donuts every morning.” The metaphor that “eating is evil” is inaccurate. After all, you have to eat to live. Furthermore, that metaphor doesn’t lead to any solutions except to try harder to be “good.” Worse than that, if often subverts a person’s efforts. “I didn’t want to have any ice cream but I did. Oh, well, the night is blown. I may as well eat the whole quart.” (Now that I’ve sinned, I may as well enjoy it). Weight is best thought of in purely physical terms. If you ingest more calories than you burn you will gain weight. If you burn more calories than you consume, you will lose weight. That’s it! (That accounts for almost everything. Intaking more fiber and fluid can have an impact as well as doing *some* light exercise after eating, but it’s mainly just a physics issue). Making it about good and evil does not help and, in my experience, is completely counter-productive. 

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Speaking of counter-productive metaphors, I have been annoyed and concerned for decades that the media have largely (though not wholly) reported on political matters as they report on sporting events. During election season, you will hear relatively little about the candidates, their positions, their backgrounds or their ethics. You will hear a lot about strategy and where they stand in the polls. Often you will literally hear nothing more than a sound bite per day about major candidates. Then, pundits will unendingly discuss and debate how this or that sound bite will work or not work with various voter groups. No matter how outrageous, unethical, or disgusting a candidate’s behavior is, the media will spend most of their coverage on how it will affect the “score.”

Metaphors have consequences. 

We now find ourselves in an extremely weird position, at least in America. One candidate has “won” the “World Series” of elections (American Presidency). Many of the people who voted for him think of themselves as his “fans” and “supporters.” They believe their guy “won” so they want to continue to support “their team.” After all, imagine that you are a Yankees fan and the Yankees won the World Series. You get to have bragging rights until the next World Series. If one of the Yankees turns out to be a tax evader, you’re still going to be a Yankees fan. If one of the Yankee pitchers turns out to have cheated during the games, say, by putting illegal substances on the baseball, you’ll still be a Yankees fan. Another Yankee might be a wife beater. But, hey, they won the World Series! So you’re still a loyal Yankees fan. 

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Here’s the thing. It doesn’t make a whole lot of real difference in your life who won the World Series. It doesn’t matter materially to your kids. It doesn’t matter materially to your grandkids. Don’t get me wrong. It will make some difference in how you feel. You and your whole family might be happy they won. But it won’t make the air you breathe cleaner or dirtier. It won’t make the water you and your family drink pure or contaminated with carcinogenic toxins. It won’t make or break the economy. Having the Yankees or Boston Red Sox win the World Series will have zero impact on global climate change. Even if Chicago wins the World Series, it won’t start an atomic war. If the Phillies win, it won’t mean you will lose your health care. Stay loyal to those Yankees! Or to the Green Bay Packers. Or to Manchester United. Or to the India National Cricket Team. Or whoever your favorite team is. Why not? 

Politics though, regardless of how it is reported by the news media, is vastly and vitally different from a sporting event!  Who is in office can have a huge influence on what happens in the lives of people. In the case of an American President, who is in office can have a huge influence on the lives of people around the globe, not only today and tomorrow, but also for decades to come. 

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Collectively, those Americans who voted (about 137.5 million) in the last Presidential election hired someone for a job. (Actually, nearly 63 million voted to hire him while nearly 66 million voted to hire Hilary Clinton). POTUS is an important job and how that person does that job impacts your life in a very real way. It impacts the lives of your friends and your family. It impacts the lives of people around the world. Every action that person takes, every speech they give, every statement they tweet has an impact. You or I might send out a nasty tweet about people. But our nasty tweets are very unlikely to cause someone to construct and send pipe bombs to the people we tweeted about. We have hired someone to do a very important job. It isn’t a sporting event.

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Imagine instead of rooting for your favorite sports team that you hired a guy to take care of your kids. To you, that is certainly an important job. After you hire him, you discover that the person you hired lied to get the job. He lies to you every single day. He steals from you! Not only that. Every day, he trashes your house a little more. He has parties at your house and the people he invites include known criminals. Worst of all, this guy you hired is a child molester! That’s obviously a nightmare scenario. What makes it worse is that many people knew that the person you hired was a crook and a child molester. 

What do you do when there is a mountain of evidence that he is lying to you; stealing from you; trashing your house; consorting with known criminals; and is a child molester? 

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Do you keep him on to watch your kids anyway out of a sense of loyalty? 

Do you feel so guilty about hiring him that you insist to all your friends and relatives that this guy is doing a great job? (Because, after all, that’s what he keeps saying). 

Do you keep him on until he is convicted in a court of law? 

Of course you don’t! You fire him immediately. 

You have the power to choose the metaphors you use. You don’t have to stick with a metaphor just because it was the first one to occur to you. 

Metaphors have consequences. Whether in your personal life, work life, or political life, choose your metaphors with care. Don’t latch on to one simply because it’s the one the mainstream media discovered rakes in the most ad revenue.

Since I first wrote this post about metaphors, there has been a COVID epidemic. According to the respected British medical journal, Lancet, the mishandling of the COVID epidemic in America cost at least 200,000 unnecessary deaths. Treating a pandemic as though it’s just a cosmetic problem that will “magically disappear” like a prom pimple turns out not to be very effective after all.

Elections are not sporting events. You are not simply a “fan.” If democracy and the rule of law in America are to survive, you must be an active participant. Cheering and jeering are not enough.

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Roar, Ocean, Roar

We Won the War! We Won the War!

Siren Song

The Ailing King of Agitate

After All

An Open Sore

All We Stand to Lose

At Least he’s Our Monster

Stoned Soup

The Tale of the Three Blind Mice

Travels with Sadie: Teamwork

The First Ring of Empathy

The Walkabout Diaries: Variety

 Representation 

22 Monday Dec 2025

Posted by petersironwood in America, management, psychology

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AI, Business, Design, Dictatorship, Feedback, leadership, life, measurement, politics, problem solving, programming, Representation, science, symbol, testing, thinking, truth, writing

 Representation 

“Choose your words carefully.” We have all heard that advice. It’s good advice and choosing a good representation is key to solving problems, but the general point extends beyond choosing words. Take a few moments now to divide DCXXXV by IX without translating to Arabic numerals. Go ahead. I’ll wait. 

A photo I took of a plant in our garden known as “black roses.”

Choosing the “best” representation for a problem depends on the nature of the problem but it also depends on your own skills and experience with a representation. If you have memorized the multiplication tables up to 99 x 99 (rather than only up to 9 x 9), you can use different techniques for multiplication than if you haven’t. If you already know how to program in FORTRAN and LISP, some algorithms will be easier to program in FORTRAN and some will be easier in LISP. But if the only language you know is R, then under most circumstances, it will be far faster and less error prone to use R than to learn another language and then use that one. 

Every representation of a real-world situation will necessarily make some features of the situation obvious and other features will be hidden or less obvious. An elevator, for instance, might say, “Capacity: 12 people.” If all of the people are wildly obese, then 12 may not fit into the elevator. The capacity sign is assuming that the people will be somewhat average. If there are 12 adults in the elevator, and one of them is holding a newborn, it won’t make much difference. If there are only 10 people in the elevator and each one has a large suitcase full of gold bullion, there may be room for all 10 to stand, but the total weight of the cargo may exceed the capacity of the elevators, snap the cable, and plummet you to your death. Remember that the next time you get on an elevator filled with folks who have suitcases of gold bullion. 

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Every representation has its limitations. If you’re familiar with a field, you will hopefully learn to recognize what those limitations are. In a famous book, The Mythical Man-Month, (still worth reading, though it should be called “Person-Month”), Fred Brooks shows that such a metric as “man-month” or “person-month” has serious limitations in planning and executing software projects. Some have paraphrased his message this way: “You can’t use nine women to make one baby in one month.” According to Brooks, who had plenty of experience as a high level manager of large software projects, when management finds that a software project is behind schedule (which is quite often), there are two major reactions of management: 1) require more measurements, reports, and presentations to management and 2) hire more people. 

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The issue with reaction 1 is partly that it takes time away from the managers and workers in order to make those measurements, prepare those reports and presentations, and to attend the meetings. Beyond that, it puts the focus of attention on those measurements (representations) which will only be at best, modestly correlated with what the real problems are. If, for instance, requirements keep changing, or there are incompatibilities in the requirements, measuring lines of code produced is not only useless in itself; it keeps people from tackling the hard problem. A solution to a hard problem might be telling the client that there can be no more changes in requirements. A solution to a hard problem might be resolving the incompatibility in requirements. One can count lines of code pretty easily. One can count other things like “function points” with a little more work but it doesn’t require getting into the “hard” and people-oriented problems that really need to be solved. 

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Reaction 2 – adding more people – will put more “resources” on the project. You can easily count the people. You can easily count the hours they work. The problem is that a person-hour is, like the elevator capacity, an over-simplified metric. In fact, it is a much worse representation of the resources on the project than the elevator metric. First of all, studies show that even among programmers with equal training, there are often ten-fold differences in productivity. The second, and even bigger issue is that even really productive programmers who are added late to a project will have to learn about the project: the people, the requirements, and the code base. If these new people are stolen from an existing project, that will also put that project in jeopardy as well. If they are instead new hires, then in addition to all the technical knowledge that they need to come up to speed on, they will also have to learn all sorts of administrivia that will take time and brain space away from the project: how to commute to work, where the cafeteria is, how to fill out time cards. Most likely, they’ll have to attend ethics training, and diversity training, and safety training. Even worse, a lot of the knowledge that they will need to become a productive member of the team mainly exists in the heads of the very people who are doing the programming now! This means that the busiest, most productive people on the project will have to take time away from programming to spend it instead on answering questions that the new people will have. 

Even this understated the real impact however. Let’s look at that phrase I just used, “…will have to take time away from programming to spend it instead…” What hidden assumption about representation is buried in this phrase? It gets the reader to think along the lines that time is additive. If I am deeply involved in programming and I get an IM or phone call from a newbie asking me a question about the project, it might take an hour to answer. Does that mean I have subtracted an hour from my own productive programming? No. It’s probably much worse than that. Why? Because I am not a machine, but a human being. It will cost me much more than the hour to get back to the same state of flow that I was in when I was interrupted. 

I was involved for a time in looking at programmer productivity for high performance computing  using various tools and the X programming language. One of the people I interviewed put it this way: “My manager calls for an hour meeting for 10 am when I am in the middle of a complex [parallel programming] problem. He thinks he’s taken an hour of my time. For him it’s an hour long meeting. But for me, he’s really destroyed the whole morning.”  

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These representational issues apply far beyond software development. For example, in the USA and in many other countries, we look at GDP as a measure of the economic productivity of the country. But how does this metric shape — or distort — our view of productivity? If a parent stays home with small children and they both love the time together, and the parent uses that time to help grow a loving, educated, productive citizen, it adds to the well-being of the country as well as that child and that parent and that family. But GDP? Nada. If instead, the parent paid money to put the child in mediocre day care, that would add to the GDP. 

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Similarly, if I go to the grocery and buy a hard, tasteless tomato for myself, I will pay for the growing of that tomato, advertising it, shipping it, warehousing it, displaying it, and for the genetic alterations so that the tomato, while tasteless, is easy to transport without spoiling. Yay me! I have added to the GDP. But if I go to a friend’s house and taste a wonderful tomato, ask for some seeds or a cutting and grow my own heirloom tomato, watering it lovingly with rainwater, weeding around it, and fertilizing it with compost, I have added zero to the GDP. Yet, the tomato will give me more pleasure, not less, than the croquet balls they have in the store. 

Representation is a good thing! Humans use symbolic thinking to do many things that would be difficult or impossible without these kinds of representations. But we must remember the limitations and not confuse reality with our representations of reality. 

This is not a new phenomenon. In the American Revolutionary War, high ranking British military officers could not understand why the British navy “refused” to navigate their warships up the Bronx River to attack revolutionary positions upriver. If you’ve ever seen the Bronx River, you’ll realize why immediately. But the maps that the British brass looked at showed a navigable river! 

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Yes, we need to use representation in our thinking. But we also need to think about our representations. You cannot assume that the one that is customarily used is “right” in all circumstances. People of different backgrounds and cultures will often use somewhat different representations of a problem or situation. (This is one of the advantages of diversity). However you do it, it’s worth questioning whether the way you are representing a situation or problem is optimal, or even adequate, for the problem at hand. 

Suppose you are measuring “the number of user errors” that users make while using a prototype text editor. You move from prototype A which averaged 10 user errors per half hour test to prototype B which only averages 5 user errors per half hour. Yay! You’ve cut user errors in half! But what if the errors you eliminated were all fairly trivial; e.g., people with version A couldn’t figure out how to number their footnotes with Roman numerals instead of Arabic. In version B, that error, along with other trivial errors, was eliminated. But one of the new errors causes the system to crash and all the user’s work to be lost. Have you really made progress? 

All errors are not alike. All dollars are not alike. All people are not alike. Not even all tomatoes are equivalent. We constantly over-simplify and yet in some cases it’s necessary in order to deal with complexity. I don’t see how all such errors can be avoided. But it’s crucial for everyone, but especially for managers and executives, to be open to the cases where the representation that is being used has become counter-productive rather than “doubling down” on such errors. Finding and fixing errors of representation are generally harder to diagnose and fix than errors made with a representation. That is all the more reason why everyone, but especially leaders, must be open to changing the way issues are represented. 

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It is no accident that dictatorships generally result in nations wherein people have both less material wealth and less enjoyment and freedom. A dictator typically refuses to admit mistakes and fix them even if it means murdering someone to make the problem appear to go away. Ultimately, this process ruins any organization. Such a person need not be a national leader. They can be a company manager, a coach, a corporate executive, or a parent. Everyone makes errors, including errors of representation. But a reasonable person is open to fixing it when new information becomes available. You can be like that too. 

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Author Page on Amazon

Essays on America: Labelism

Reality Check

Wednesday

The Invisibility Cloak of Habit

Fish have no Word for Water

After All

All We Stand to Lose

A Lot is not a Little

Happy Talk Lies

The Loud Defense of Untenable Positions

At Least he’s Our Monster

Plans for US; some GRUesome

Siren Song

We Won the War! We Won the War!

————————————

 

   

Regression to the Mean

21 Sunday Dec 2025

Posted by petersironwood in America, management, psychology, sports

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AI, Business, Democracy, experiment, family, Feedback, HCI, learning, life, mental-health, personal-growth, politics, science, sports, testing, truth, USA, usability, UX, writing

Regression to the Mean

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While working full-time at IBM Research, I was also a Fellow at the Institute for Rational-Emotive Therapy in Manhattan. I wrote an article in 1978 for their Journal, Rational Living. The title was: “Why Do I Self-Down? Because I’m an Idiot?” Indeed, many people put themselves down and it is not helpful. I hypothesized several different causes for this kind of self-slamming behavior. Most of these causes you could probably figure out on your own. But one in particular is subtle and non-intuitive. It is based on a statistical phenomenon which few people know about despite the fact that it is extremely pervasive. This phenomenon is called “Regression to the Mean.” 

I want to define this term by explaining some examples. Imagine that you have a new soft drink which contains a combination of herbs that will purportedly make you smarter; e.g., gingko and bacopa. (There is some evidence these may actually work but let’s assume that they don’t or that your tea has too little to be effective). Here’s what you do to “prove” that it works anyway. You give an IQ test to 10,000 people and choose the 50 who score the lowest on the test and have them drink your tea for the next six months. At the end of that time, you give those 50 people an IQ test again and — Voila! The average (or mean) of the IQ scores has almost certainly gone up. Yay! It works! 

Or does it? One of your competitors is not too happy about your study. In fact, they aren’t even happy you put your tea on the market. They decide to prove that your tea is not only ineffective but that it makes people less smart. So what do they do? They give an IQ test to 10,000 people and they pick the 50 who score the highest. They have them drink your tea for six months and at the end of that time, they have them take another IQ test. In this case, the mean (average) score is lower than the first time! Ouch! They say your tea causes brain damage! 

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How can the same tea make people smarter and make them dumber? In this case, it does neither. What is going on? Here’s what is going on. When you measure something, there is always some error. Whether you are measuring your weight, your height, your blood pressure, or your IQ, the measurement is never exactly perfect. Your weight may vary slightly because of atmospheric pressure and more so because of water retention. If you take an IQ test, your score will partly reflect how well you do on such tests in general, but it will partly depend on luck. You may have felt particularly good that day, or a few of the questions might have been on topics you just heard about on TV the day before, or you may have made some lucky guesses. Or, you may have been unlucky on a particular day. You might have had a cold or misread one of the questions or forgotten your morning coffee. On any given day, some people will be a little lucky and some people will be a little unlucky. These things tend to balance out in a large group and if you tested all 10,000 people after six months, then assuming the tea has no real effect, no effect will be shown in the data. 

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However, if you select the very best scores, you are partly picking smart people, of course, but you are also picking the people who were lucky that day. When you test just those people six months later, they will generally be just as smart but there is no reason to suppose they will be lucky again. Some will be lucky both times, most will not be particularly lucky or unlucky and a few will be unlucky. The average score will be lower. Conversely, if you choose the lowest scoring people, you will partly be choosing people who don’t do well on such tests in general. But you will also be choosing people who were tired, sick, guessed wrong or were otherwise unlucky that day. When you retest, those people will still tend to be people who do poorly on such tests, but they won’t necessarily all be unlucky again. Some will. Some won’t. On average, the scores will be higher than they were the first time. 

The phenomenon of “Regression to the Mean” was first noted by Francis Galton in the 1880’s. Tversky and Kahneman, so far as I know, were the first to note that this phenomenon could easily cause managers, coaches, and parents to end up being unnecessarily negative. Here’s how it works. Let’s say you are learning to hit tennis serve. Although you will likely improve in general, over time, there will also be a lot of variation in your performance. Sometimes, everything will work well together and you’ll hit an excellent serve, one that is above your average level. At first, the coach’s natural inclination will be to praise this by saying, “Wow! Great serve!” or something like that. Unfortunately, your next serve, due to regression to the mean is very likely not to be quite as good as that one was. Your coach’s praising behavior was thereby punished. On the other hand, if you hit a particularly poor serve for your level, your coach might say, “Oh, come on. You can do better than that!” If they choose to say such things only on your very worst performances, then, due to regression to the mean, your next serve is likely to be somewhat better. In other words, their slamming you will be rewarded by your doing better the next time. The same general tendencies will apply to managers and parents as well.  

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The same applies to you! Whatever you are doing, your performance will vary somewhat over time. If you begin by praising yourself internally whenever you hit a particularly great shot, your next shot will most likely be not so great. On the other hand, if you put yourself down when you find your performance particularly bad, “You idiot! How could you miss that!?” Your next shot will tend to be somewhat better. Over time, your positive self-talk will tend to be punished and your negative self-talk will tend to be rewarded. 

It’s no wonder then that many managers, coaches, and parents end up saying very negative things about their charges. It’s also no wonder that many people say (or more likely think) many more negative things about themselves than they say positive things.

 

Is there anything to be done? First, simply be aware of this phenomenon. That is step one. If you are running a study, you need to be careful in selecting. The study about your tea could be fixed by re-testing the entire population; by selecting a random group of 50 rather than the best or worst; or by using a control group who did not drink tea but was retested anyway. When praising or punishing someone’s performance, do not bother with trying to reward or punish outcomes based on one trial. That’s actually a pretty poor way to coach yourself or others in any case. See The Winning Weekend Warrior for more on this. Also watch out for this when you read about various conclusions of other studies. Did the investigators select either the “best” or the “worst” for their study? If they did such a selection, did they talk about the bias this introduces? Did they have a control group? 

Meanwhile, treat your mistakes as opportunities to learn, not as opportunities to put yourself down. There’s really no point in self-downing. But if you do find yourself self-downing, remember that it’s common; relax; smile at this human foible; then quit doing it. At least give yourself a break for the holidays. 

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Tversky, A., & Kahneman, D. Judgment under uncertainty: Heuristics and biases. Science, 1974, 185, 1124-1131. 

Author Page on Amazon

My Cousin Bobby

The Update Problem

The Stopping Rule

Finding the Mustard

What about the Butter Dish?

The Self-Made Man

Labelism

Wednesday

Where does your loyalty lie?

After All

Roar, Ocean, Roar

Plans for US; some GRUesome

The Walkabout Diaries: Sunset

The First Ring of Empathy

Stoned Soup

The Tale of the Three Blind Mice

Fifteen Properties

A Pattern Language for Cooperation

Travels with Sadie: Cooperation

 

Tools of Thought: Theory of Mind

19 Friday Dec 2025

Posted by petersironwood in America, management, psychology, Uncategorized

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"Theory of Mind", AI, cooperation, Design, education, empathy, life, mental-health, poetry, politics, psychology, religion, sports, teamwork, truth, writing

Theory of Mind. 

“Theory of Mind” refers to the ability of most humans to imagine, at least to a degree, what another person is likely to do based on their knowledge of what the other person knows. Here is a simple test used to determine whether someone has this ability. 

You are the “subject” being tested and you are in a room with me (the “experimenter”). Your friend Vlad is in the room too. In full view of you and Vlad, I hide a giant luscious chocolate chip cookie (such as you might purchase from Panera, but won’t because you realize that if you buy it there is no way you aren’t going to eat it!). I “hide” this cookie in the top drawer of my desk. Now, Vlad walks out of the room. He’s well out of sight. Now, I take the cookie out of my drawer, and using great self-control, do not eat the cookie myself but instead put it in my pocket. 

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Now, I turn to you and ask, “When Vlad comes back, where will he look for the cookie?” If you are 2, 3, or 4 years old, you would say, “In your pocket!” I rephrase this a few times to make sure you understand that I am not asking you where the cookie actually is but where Vlad will search. You again insist that Vlad will look in my pocket. At such a young age, kids do not distinguish their state of knowledge from someone else’s. Most adults will have no problem with this task. They have a “theory of mind” that allows them to know that their state of knowledge is not the same as Vlad’s. Some adults diagnosed with autism will have trouble with this task however.

An interesting question arises as to whether other animals have a “theory of mind.” It is not a settled question. My purpose here however, is to explain what the term means and show how it’s useful for humans. Despite the fact that most adult humans have the capacity to do “theory of mind” tasks and that it is useful, they nonetheless often fail to evoke their capacity.

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A closely related concept is “empathy.” Empathy generally refers to being able to feel what another person feels emotionally. I see the distinction as one of perspective or emphasis rather than two different entities. These two concepts (empathy and Theory of Mind) are explored in much greater detail in the “Myths of the Veritas” series in this blog. For now, suffice it to say that you might empathize with another person by relating to their facial expressions, posture, or regarding what they say and how they say it. You might see a picture of a small, terrified four-year old alone in a cage and know that they are terrified without having any verified knowledge or detailed knowledge of what they “know” or “don’t know.” They might or might not know any English. And you might or might not know their language or even what their language is. But you can tell that they are in great distress just by looking at them. If you actually feel what it is like to be a small child separated from your parents and being trapped in a cage in a strange place, that is generally called “empathy.” 

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If I were to ask you what kind of pleading this four year old is likely to make in court, if you have  the capacity for a “Theory of Mind,” you might well ask, “Well…I don’t know. What do they know about courts or proceedings? What could they know? They are only four years old.”  You’d be correct, of course, to question whether it was meaningful to have a four year old acting for themselves in court. This would be particularly true if they had to plead in a court where they were unfamiliar with the culture, the venue, and the language. But even a really smart four year old who had been brought up in America and spoke excellent English would not be capable of really understanding the consequences. This kind of understanding demonstrates a deeper theory of mind than simply knowing that because a specific piece of information is in your own head doesn’t mean it’s in someone else’s head. 

In The Myths of the Veritas, people are given a range of tasks that involve what is called empathy. To me, although one can draw a conceptual distinction between understanding another person’s knowledge and feeling an echo of another person’s feelings, when it comes to many practical situations, it’s more important to put oneself in another person’s shoes, than to correctly label the process. 

Writers must often deal with multi-level theories of mind. There is what the writer knows about the events that are being written about in a story. There are the spheres of knowledge that various characters have. Most often, different characters have critically different states of knowledge. What the reader knows is yet again different. And all of these spheres of knowledge change throughout the course of the narrative. 

In The Myths of the Veritas, for example, the author knows throughout that ALT-R is making POND MUD put his face in the mud purely to humiliate him and keep power over him. ALT-R knows it as well. Over time, most readers will come to the same conclusion but not necessarily at exactly the same place in the narrative. Most of the Veritas tribe initially know nothing about this incident, but She-Of-Many-Paths intuits it and eventually many of the Veritas come to understand it. At first POND MUD is fairly certain ALT-R saved his life by making him do it. But as he observes and interacts with ALT-R and others, he begins to doubt that and then goes about actively seeking information from others that would help clarify ALT-R’s true motives. 

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In Othello, the writer knows from the beginning that Iago is an evil sociopath. The audience knows quite early that Iago is an evil sociopath and learns more about his schemes through speeches that Iago delivers directly to the audience. Othello himself, on the other hand, has his state of “knowledge” manipulated by Iago. The audience knows that Othello is being duped by Iago but Othello himself does not know of it or of Desdemona’s innocence when he murders her though at that point, the writer, the audience, Desdemona, Iago, Cassio and other characters all know that Desdemona is innocent. We have some sympathy for Othello because we realize that he is operating on false information. 

Let’s turn to a happier piece of fiction, The Gift of the Magi by O’Henry (William Sydney Porter). In this story, a couple with financial struggles each gives up their most prized possession to buy a gift for the other. The functional value of the gifts is destroyed by what they gave up. Della knows that Jim’s most prized possession is his gold watch so she sells her beautiful hair to get money to buy him a watch chain. Jim knows that Della’s most prized possession is her beautiful hair so he sells his watch in order to buy her some jeweled combs for her hair. Of course, the real gifts they give are not diminished by their being no longer functional. The real gift is the gift of love. The author obviously knows all this from the beginning. Readers “catch on” to what is happening at various points in the narrative, but Jim and Della are the last to learn of the full irony. 

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Sadly, many people seem not to bother trying to understand the situation and capabilities of others. In one of the simplest cases, people are apparently unable to understand how very basic physical properties of the universe result in various people having various states of knowledge. On the tennis court, in a “friendly game,” the players themselves make the calls and keep track of the score. The server is supposed to announce the score before every serve. Some people actually “announce” the score by saying it so softly that only they can hear it! 

In other cases, novice drivers will follow a semi truck so closely that the truck drive cannot see the car behind them. Another trick of drivers is to turn their blinkers on – but only as they begin making the turn. In another post, I explain how one person’s driving behavior in “stop and go traffic” can influence many other people’s. In particular, if you leave a large space between your car and the one in front of you, it makes it easier for many people around you to drive more smoothly because they have a much more complete view of what is happening in front of them. 

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A more subtle failure in “Theory of Mind” occurs when a person assumes that everyone is motivated in the same way that they are. For example, a person may be so partisan that they will always defend and promote people in their own political party no matter how heinous the crimes of that person. This is an error, but a concomitant error is that such people assume everyone who doesn’t defend the criminal, and certainly anyone who actively resists such a crooked politician is doing so from a purely partisan perspective because that’s what they would do. Sociopaths who cheat may assume that everyone would cheat and the only reason they don’t cheat is because those non-cheaters are not smart enough to get away with it. 

When teamwork is operating at a high level, whether it’s hockey, soccer, tennis doubles, basketball, families, or design teams, people exhibit excellent “Theory of Mind” skills. How are yours? Have you experienced such high functioning teams? How can you improve your skills at “Theory of Mind”? 

One way to improve your “Theory of Mind” skills is to become aware of the kinds of perceptual, memory, and problem solving errors that people are generally prone to. Many of the posts linked to below explore some aspect of human psychology.

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Author Page on Amazon

The Primacy Effect

Labelism

Wednesday

The Update Problem

The Stopping Rule

My Cousin Bobby

Where does your Loyalty Lie?

The Invisibility Cloak of Habit

How the Nightingale Learned to Sing

Roar, Ocean, Roar

The Iroquois Rule of Six

Happy Talk Lies

The Loud Defense of Untenable Positions

Cancer Always Loses in the End

Who Won the War?

After All

The Last Gleam of Twilight

E-Fishiness Mass General Hospital

Me Too

    

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?

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. 

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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. 

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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.

 

 

 

Photo by GEORGE DESIPRIS on Pexels.com

 

 

 

—————————————-

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

Problem Framing: Good Point!

08 Monday Dec 2025

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

≈ Leave a comment

Tags

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

Photo by Pixabay on Pexels.com

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?”

Photo by Photo:N on Pexels.com



“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!  

Photo by Chokniti Khongchum on Pexels.com

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

An Open Sore from Hell

16 Sunday Nov 2025

Posted by petersironwood in America, poetry

≈ 6 Comments

Tags

coward-ICE, cowardice, Democracy, Dictatorship, fascism, history, life, poem, poetry, politics, truth, USA

Everything is swell

There’s an open sore from hell

Knocking on the door

Don’t bother with the bell

Monsters with a mask

Have a thrilling vital task

Tear apart our nation 

Feel the thrill of their elation

Parading as a patriotic posse pod

Parading as the very voice of God

Knocking down the door

Acting as the whore

Of the petty orange melon 

Of the child rapist felon

The Puppeteer of Puke

Acting like a Duke

Imagining he’s King

Because his teeny thing-a-ling

The ICEholes just deprave

Nothing noble, nothing brave

To tear apart our should and could

Nothing holy, nothing good

Not the smallest jot of joy 

The monster that’s the Monster of Destroy

Thinking its his toy

To militarily deploy

Addictive greed his only creed

In his crusade of self-destruction

Hate and fear and no construction

And the open sore from hell

Doesn’t bother with the bell

Knocking down the walls

Builds a cage of gilded halls

Photo by Pixabay on Pexels.com

But the people, ah, the people

Can see the void beneath the steeple

Will not go gently into that blank night

Will not forsake the shining light

Will not let the greedy rapists win

Veneers of lies are wearing thin

And soon the king of agitate

Minions spewing lies and hate

Grow weary of their dreary ways

Grow leery of their dead-eyed days

And the people, ah, the people see

What the Not-See Party cannot see

That cancer always loses in the end

The light of love soon will mend

The open sores of cancerous greed

They’re but a self-destructive weed

Who wilts and whines and whinges 

When their chief departs his hinges

—————

The Ailing King of Agitate

At Least He’s Our Monster

Absolute is not Just a Vodka

Cancer Always Loses in the End

D4

Dick-Tater-$hits

Imagine All the People

Roar, Ocean, Roar

The Dance of Billions

Destroying Natural Intelligence

Peace

Who Won the War? 

We Won the War! We Won the War!

The US Extreme Court

Come to the Light Side

Where Does Your Loyalty Lie?

What About the Butter Dish? 

My Cousin Bobby

Labelism

The Game

The Walkabout Diaries

The First Ring of Empathy

Travels with Sadie

The Truth Train 

The “Not-See” Party

Ban the Open Loop

29 Monday Sep 2025

Posted by petersironwood in America, essay, HCI, politics, psychology, Uncategorized, user experience

≈ Leave a comment

Tags

AI, Democracy, life, technology, truth, USA

IMG_5372

Soon after I began the Artificial Intelligence Lab at a major telecom company, we heard about an opportunity for an Expert System. The company wanted to improve the estimation of complex, large scale, inside wiring jobs. We sought someone who qualified as an expert. Not only could we not locate an expert; we discovered that the company (and the individual estimators) had no idea how good or bad they were. Estimators would go in, take a look at what would be involved in an inside wiring job, make their estimate, and then proceed to the next estimation job. Later, when the job completed, no mechanism existed to relate the estimate back the actual cost of the job. At the time, I found this astounding. I’m a little more jaded now, but I am still amazed at how many businesses, large and small, have what are essentially no-learning, zero feedback, open loops.

As another example, some years earlier, my wife and I arrived late and exhausted at a fairly nice hotel. Try as we might, we could not get the air-conditioning to do anything but make the room hotter. When we checked out, the cashier asks us how our stay was. We explained that we could not get the air conditioning to work. The cashier’s reaction? “Oh, yes. Everyone has that trouble. The box marked “air conditioning” doesn’t work at all. You have to turn the heater on and then set it to a cold temperature.” “Everyone has that trouble”? Then, why hasn’t this been fixed? Clearly, the cashier has no mechanism or no motivation to report the trouble “upstream” or no-one upstream really cares. Moreover, this exchange reveals that when the cashier asks the obligatory question, “How was your stay?” what he or she really means is this: “We don’t really care what you have to say and we won’t do anything about it, but we want you to think that we actually care. That’s a lot cheaper and doesn’t require management to think.” Open Loop.

Lately, I have been posting a lot in a LinkedIn forum called “project management” because I find the topic fascinating and because I have a lot of experience with various projects in many different venues. According to some measure, I was marked as a “top contributor” to this forum. When I logged on the last time, a message surprised me that my contributions to discussions would no longer appear automatically because something I posted had been flagged as “spam” or a “promotion.” However, there is no feedback as to which post this was or why it was flagged or by whom or by what. So, I have no idea whether some post was flagged by an ineffectual natural language processing program or by someone with a grudge because they didn’t agree with something I said, or by one of the “moderators” of the forum.

LinkedIn itself is singularly unhelpful in this regard. If you try to find out more, they simply (but with far more text) list all the possibilities I have outlined above. Although this particular forum is very popular, it seems to me that it is “moderated” by a group of people who actually are using the forum, at least in many cases, as rather thinly veiled promotions for their own set of seminars, ebooks, etc. So, one guess is that the moderators are reacting to my having simply posted too many legitimate postings that do not point people back to their own wares. Of course, there are many other possibilities. The point here is that I do not have, nor can I easily assess what the real situation is. I have discovered however, that many others are facing this same issue. Open loop rears its head again.

The final example comes from trying to re-order checks today. In my checkbook, I came to that point where there is a little insert warning me that I am about to run out and that I can re-order checks by phone. I called the 800 number and sure enough, a real audio menu system answered. It asked me to enter my routing number and my account number. Fine. Then, it invited me to press “1” if I wanted to re-order checks. I did. Then, it began to play some other message. But soon after the message began, it said, “I’m sorry; I cannot honor that request.” And hung up. Isn’t it bad enough when an actual human being hangs up on you for no reason. This mechanical critter had just wasted five minutes of my time and then hung up. Note that no reason was given; no clue was provided to me as to what went wrong. I called back and the same dialogue ensued. This time, however, it did not hang up after I pressed “1” to reorder checks. Instead, it started to verify my address. It said, “We sent your last checks to an address whose zip code is “97…I’m sorry I’m having trouble. I will transfer you to an agent. Note that you may have to provide your routing number and account number again.” And…then it hung up.

Now, anyone can design a bad system. And, even a well designed system can sometimes mis-behave for all sorts of reasons. Notice however, that designers have provided no feedback mechanism. It could be that 1% of the potential users are having this problem. Or, it could be that 99% or even 100% of the users are having these kinds of issues. But the company lacks a way to find out. Of course, I could call my Credit Union and let them know. However, anyone that I get hold of at the Credit Union, I can guarantee, will have no possible way to fix this. Moreover, I am almost positive that they won’t even have a mechanism to report it. The check printing and ordering are functioned that are outsourced to an entirely different company. Someone in corporate, many years ago, decided to outsource the check printing, ordering, and delivery function. So people in the Credit Union itself are unlikely to even have a friend, uncle or sister-in-law who works in that “department” (as may have been the case 20 years ago). So, not only does the overall system lack a formal feedback mechanism; it also lacks an informal feedback mechanism. Tellingly, the company that provides the automated “cannot order your checks system” provides no menu option for feedback about issues either. So, here we have a financial institution with a critical function malfunctioning and no real process to discover and fix it. Open loop.

Some folks these days wax eloquent about the up-coming “singularity.” This refers to the point in human history where an Artificial Intelligence (AI) system will be significantly smarter than a human being. In particular, such a system will be much smarter than human beings when it comes to designing ever-smarter systems. So, the story goes, before long, the AI will design an even better AI system for designing better AI systems, etc. I will soon have much to say about this, but for now, let me just say, that before we proceed to blow too many trumpets about “artificial intelligence systems,” can we please first at least design a few more systems that fail to exhibit “artificial stupidity”? Ban the Open Loop!

Notice that sometimes, there may be very long loops that are much like open loops due to the nature of the situation. We send out radio signals in the hopes that alien intelligences may send us an answer. But the likely time frame is so long that it seems open loop. That situation contrasts with those above in the following way. There is no reason that feedback cannot be obtained, and rather quickly, in the case of estimating inside wiring, fixing the air conditioning signs, providing feedback on why there is “moderation” or in the faulty voice response system. Sports must provide a wonderful venue that is devoid of open loops. In sports, you see or feel the results of what you do almost immediately. But you underestimate the cleverness with which human beings are able to avoid what could be learned by feedback. Next time, we will explore that in more detail.

As I reconsider the essay above from the perspective of 2025, I see a federal government that has fully embraced “Open Loop” as a modus operandi — in some cases, they simply ignore the impact of their actions. In other cases, they do claim a positive impact but it is simply lies. For instance, it is claimed that tariffs are “working” in that foreign countries are paying money to America. That’s just an out and out lie. So, the entire government is operating with no real feedback. We are told that ICE will target violent gang members and dangerous criminals. The reality of their actions is completely disconnected from that.

The Trumputin Misadministration works with no loop at all that correctly relates stated goals, actions taken supposedly to achieve those goals, and the actual effects of those actions. That can only happen when the government accepts and celebrates corruption. But the destruction will not be limited to government actions and effects. It will tend to spread to private enterprise as well. Just to take one example, if unchecked by courageous and ethical individuals, sports events will become corrupted.

 

 

 

 

 

 

Photo by Mark Milbert on Pexels.com

There’s money to be made by “fixing” events and there will be pressure on athletes, managers, referees, to “fix” things so that the very wealthy can steal more money. Outcomes will no longer primarily be determined by training, skill, and heart. Of course, as fans learn over time that everything is fixed, the audience will diminish, but not to zero. Some folks will still find it interesting even if the outcome is fixed like the brutal conflicts in the movie Idiocracy, the lions eating Christians in the Roman circuses, or the so-called “sport” of killing innocent animals with high power guns. It’s not a sport when the outcome is slanted. Not only is it less interesting to normal folks but it doesn’t push people to test their own limits. There’s nothing “heroic” about it. Nothing is learned. Nothing is really ventured. And nothing is really gained. 

 

 

 

 

 

 

Photo by Gareth Davies on Pexels.com

———–

Where does your loyalty lie?

My Cousin Bobby

The First Ring of Empathy

The Orange Man

The Forgotten Field

Essays on America: The Game

Essays on America: Wednesday

Absolute is not Just a Vodka

How the Nightingale Learned to Sing

Travels with Sadie 1

The Walkabout Diaries

Plans for US; Some GRUesome

At Least he’s Our Monster

The Ant

The Self-Made Man

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