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Meta-Cognition

18 Thursday Dec 2025

Posted by petersironwood in management, psychology

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AI, bias, cognition, Feedback, Halo Effect, life, mental-health, politics, Primacy Effect, psychology, science, sports, truth, writing

Meta-Cognition

“Cognition” refers to thinking activities such as problem solving, learning, decision making, and imagining. “Meta-Cognition” refers to thinking about thinking. The science of psychology, over the last 150 years, has learned a great deal about human thinking. If you are reading this blog post, the chances are pretty good that you are a human being. Although there are important individual differences in how people solve problems, learn, make decisions, and use their imaginations, there are also many similarities. To the extent that you understand your own thinking, you can use that knowledge to do a better job of problem solving, learning, decision making and using your imagination. 

woman working girl sitting

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Here are a few examples that you may already be aware of. I really like chocolate. And I really like almonds. Chocolate-covered almonds are one of my very favorite foods. I know this about myself. I also know that I am easily distracted. I’m not the sort of person who begins to write a blog post, thinks about chocolate almonds and then stops writing to rush out to the store and buy a package. In fact, there is almost no activity that I can be engaged in which I would interrupt in order to go buy chocolate almonds no matter how much I crave them. On the other hand, if there were a bowl of chocolate almonds right beside me, in easy reach, I would definitely reach over and grab some whenever I paused in my writing. So, how do I use the knowledge about my own behavior to control my own behavior? 

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I don’t very often buy chocolate almonds. It’s relatively easy to simply not go to the part of the grocery store where these little devils hang out. If I walk by, I know that they will start singing to me like the Lorelei of legend: “Come get me! I am so tasty. Get me now. Please. I want to go home with you.” But I can’t really hear them that well beyond about five feet. Probably this is because chocolate almonds have a very rudimentary vocal apparatus. 

I do buy them perhaps once a month and when I do buy them I put them in a closed drawer so they are mainly out of earshot. Then, I will have a few and get back to work. I may not have them for days at a time. If, however, I put them in a bowl right beside my computer, I am fairly certain that I would eat the whole box the first day; indeed, quite possibly in the first hour. 

This is an example of using what I know about how I think about things in order to think about arranging the environment to my own long-term benefit. 

Another example, which I may describe in more detail later, is the so-called “Primacy Effect.” This is known in popular terms as the power of “First Impressions.” If your first experience with something — whether it’s dogs, cats, Chinese food, or computer programming — is negative, it will be difficult to overcome that later. This is not only true of emotional reactions. It’s also true about what you recall about something. 

Suppose that you meet someone named Joseph Josephson at a party and Joseph has a beard and long black hair. Perhaps you talk to Joseph for ten minutes. You meet Joseph a few months later at a tennis match and now he is clean shaven and has short hair. You play tennis with him for an hour. A few months later, someone happens to ask you if you know Joseph Josephson. Chances are, an image will pop into your head of Joseph with long black hair and a beard. Of course, sales people, politicians and wise people applying for jobs make use of this and want to make a “good first impression.” Since you now know that first impressions are particularly important, you can use this knowledge about how people think to make sure that first impression is a good one. 

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You can also use that knowledge to help modify your own thinking and decision making. Suppose someone comes to you for a job interview and the first thing they do when they walk in your office is trip over a chair and spill their papers on the floor. That’s unfortunate! It is quite natural to immediately conclude that they are unsuited for the job. At this point, you could remind yourself instead that this is only a first impression and that you should not let it color your judgement about whether they are the best candidate for the job. You probably won’t be entirely successful in not letting it cloud your judgement, but you will be somewhat successful. 

As I explain in The Winning Weekend Warrior, you can also use the “Primacy Effect” in sports. For example, if you are serving in tennis doubles, if you mainly want to hit a flat serve and stay back after serving, you might serve a kick-serve and follow it to the net a few times at the beginning. Even if you never do this again, your opponents will continue to be “looking for” that kick serve and may prepare their return on that basis. 

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When it comes to evaluating candidates for jobs, you must also be wary of the “Halo Effect.” If you find out something good about a candidate, it will tend to cloud your judgement about other aspects of their qualifications, even if that “good thing” is irrelevant to the job. A physically attractive candidate will tend to be judged as more qualified overall even if the job has nothing to do with physical attractiveness. But now that you know this about human judgements (and therefore also your judgements), you can take steps to minimize the “Halo Effect.” It may help, for instance, if you specifically judge candidates on several dimensions of background or experience. The more “objective” you can make the criteria, the less susceptible the judgments are to the “Halo Effect.” So, if the candidate is very attractive, for example, if you simply give an overall judgement that they are suitable for the job, there will be a relatively large impact of their attractiveness. On the other hand, if you are asked to separately rate the candidate on Work Experience, Educational Background, Appearance, and Relevant Skills, the Halo Effect from their physical appearance will tend to be mainly (but not wholly) focused on the “Appearance” factor. If you answer even more specific and objective questions such as: “Does the candidate have an advanced degree?” or “Does the candidate have more than two years programming in C?” the “Halo Effect” is further minimized. 

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One of the most common ways that people use meta-cognition is simply to write things down. You and I both know that we have a tendency to forget. Most of us, therefore have paper or electronic calendars. We don’t typically rely on our own memory to keep track of a complex schedule of appointments. Why? Presumably, we do this because we know that we are likely to forget an appointment if we rely on our brains. Most of us do not bother to put our own birthday on the calendar because we realize that we are quite aware of it and not likely to forget. People who celebrate Christmas often do not bother to put that date on the calendar either. We know that it would be rather hard to forget! Similarly, many people who go grocery shopping and buy milk, eggs, and bread every week do not bother to put it on the list. If your aunt Mary is coming to visit and she requires soy milk, you probably will put that on your shopping list. You realize (through meta-cognition) that this is an item you are likely to forget. 

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These are just a few examples. Findings about human cognition abound. You can use these findings to do a better job in your own thinking; you can use those same findings to help you in competitive situations in predicting what others will do. If you are interested in more such findings about psychology, you might find these fascinating and well-written books of interest.

Thinking Fast & Slow, by Daniel Kahneman

Predictably Irrational by Dan Ariely  


Here are some other blog posts that touch on various aspects of human cognition. Being aware of these helps you use the knowledge to your advantage.

Essays on America: Wednesday

Essays on America: Labelism

What about the Butter Dish?

The Invisibility Cloak of Habit

The Update Problem

The Stopping Rule

Finding the Mustard

Fish have no Word for Water

The Loud Defense of Untenable Positions

Happy Talk Lies

The Primacy Effect

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Holiday Gift Ideas: 

For busy professionals who wish to live a long and healthy life: Fit in Bits shows many ways to work exercise into otherwise sedentary activities. 

For amateur athletes who would like to win more, The Winning Weekend Warrior focuses on strategy, tactics, and the mental game for all sports including tennis, golf, softball, etc. 

For Sci-Fi fans, Turing’s Nightmares presents 23 short stories that explore the practical and ethical implications of Artificial Intelligence. 

For those interested in what it was like to grow up in mid-America in the 1950’s, Tales from an American Childhood recounts early memories and then relates them to contemporary events and issues. 

Tools of Thought

14 Sunday Dec 2025

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

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

Tools of Thought (Summary and Index)

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

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

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

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

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

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

Here’s an index to the toolkit so far.

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

Many Paths

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

And, then what?

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

Systems Thinking: Positive Feedback Loops

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

Meta-Cognition

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

Theory of Mind

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

Regression to the Mean

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

 Representation 

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

Metaphors We Live By and Die By

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

Metaphors We Live and Die By: Part 2

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

Imagination

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

Fraught Framing: The Virulent “Versus” Virus

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

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

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

Negative Space

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

Problem Finding

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

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

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Author Page on Amazon

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

Non-Linearity

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

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Resonance

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

Symmetry

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

Labelism

Wednesday

The Stopping Rule

Finding the Mustard

What about the Butter Dish?

Where does your Loyalty Lie?

Roar, Ocean, Roar

The Update Problem

The Invisibility Cloak of Habit

The Impossible

Your Cage is Unlocked

We won the war! We won the war!

The self-made man

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.” 

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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. 

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Photo by Pixabay on Pexels.com
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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! 

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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). 

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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.

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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: 

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Wilbur’s Story

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

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

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

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

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

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

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

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

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

Thanks, Wilbur.

Thanks.

 

 

 

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—————————————-

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


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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

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

09 Tuesday Dec 2025

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

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

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

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

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

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

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

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

It was simply changing the greeting. 

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

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

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

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

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

“Arlington.” 

“In Arlington, what listing?” 

“Dress shop on Main Street.”

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

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

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

Words matter.

The Primacy Effect and The Destroyer’s Advantage

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

Essays on America: Wednesday

After the Fall

The Crows and Me

Cancer Always Loses in the End

Come Back to the Light

Imagine All the People…

Roar, Ocean, Roar

The Dance of Billions

How the Nightingale Learned to Sing

Travels with Sadie

The First Ring of Empathy

Donnie Visits Granny!

You Must Remember This

The Walkabout Diaries: Bee Wise

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Problem Framing: Good Point!

08 Monday Dec 2025

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

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

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

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

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“My car keys!” He replied.

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

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

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

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

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

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

Maybe. 

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

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

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

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

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

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

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

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

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

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

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

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

—————————————

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

There’s a pill for that. 

The Pandemic Anti-Academic.

What about the butter dish? 

The invisibility cloak of habit. 

Process re-engineering comes to Baseball

E-Fishiness in Government

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Reframing the Problem: Paperwork & Working Paper

04 Thursday Dec 2025

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

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

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Reframing the Problem: Paperwork & Working Paper



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

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

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

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

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But why?

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

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

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

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

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

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——————————————————

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Tools of Thought

A Pattern Language for Collaboration and Cooperation

The Myths of the Veritas: The First Ring of Empathy

Essays on America: Wednesday

Essays on America: The Stopping Rule

Essays on America: The Update Problem

My Cousin Bobby

Facegook

The Ailing King of Agitate

Dog Trainers

The Wines of War

01 Saturday Nov 2025

Posted by petersironwood in management, psychology, The Singularity, Uncategorized

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AI, Artificial Intelligence, cognitive computing, fiction, life, technology, the singularity, truth, writing

IMG_1289“Come on, Searle, at least try a sip. You cannot believe this Cab!”

“Oh, I believe it all right, Hubert. I am just not interested.”

“What a stick in the mud! Not only is it fabulous and complex. It’s worth a taste just to prove to yourself that the Chinese — The Chinese — are making superb wines! Would you have even thought that possible a decade ago? And, it isn’t a copy of French or California Cabs. It’s completely different. Yet, it is wonderful.”

“I’m sure the experience is fantastic, Hubert. I take your word for it. I am not interested. And, anyway, I have to keep my wits about me, as you well know, for the war effort.”

 

 

 

 

 

 

 

 

 

“Oh, Searle, such a prude. Do you seriously think that throwing the weight of your human intellect against the wheel of our national computational resources will move things forward any more quickly? If you tasted the wine, you would get an inkling of just how far we’ve come. Anyway, it isn’t spiked with ethyl alcohol. The drug effect of the wine will make you feel good but it won’t mess you up intellectually–not at all. It is a miracle.”

“I prefer my wine made the old-fashioned way. I know it’s retro. But that’s just me. I don’t think we know all the ramifications of these genetically altered plants, let alone the interaction effects of all the additives. Anyway, I’m getting back to work.” Searle took one last view of the seascape and turned to walk to the back wall — a series of high def 3-D displays. He held up both hands toward the displays for a second to authenticate and then began slicing his hands through the air rather quickly and precisely. As he did so, he muttered under his breath. Although Hubert could not make out his words, the bank of computer receptor pads had no problem.

 

 

 

 

 

 

 

 

 

“Can you come take a look at this, Hubert? This is the scenario bundle I’ve been working on. I know it may seem far-fetched, but when it comes to cyber weaponry, there’s not much history from which to extrapolate. So it’s hard to know exactly what is far-fetched. Now what?!” Searle’s breath growled annoyance because of the flashing red-bordered news feed screen on the far right.

Hubert stalked over to watch as well, having been alerted by the tactile feed in his shirt.

An Asian man in a blue tunic spoke English with a thick accent. A large red star in a white circle suspended between two long blue stripes hung huge behind him. “This is what awaits you if our demands are not met.” The talking head was replaced with a picture of a man’s hands boiling and disintegrating in a matter of a half a minute. The image was both hideous and utterly fascinating. The talking head reappeared. “You have two hours. Then, 95% of your citizens will experience a similar dissolvement. That includes men, women, and children. Two hours.” The feed blinked out. Within seconds, three video call signals beeped. Searle pointed at the Sing project director’s image and a split second later, Hubert pointed at CIA director Bush Four. ADAMS (Auditory Directional And Masking System) easily let them converse right beside each other without confusion.

The Sing project director spoke first: “I told these clowns something like this would happen if we didn’t get fully funded! What did they…”

Searle interrupted, “No time. You’re right. But recriminations later. We need to determine whether this is bluster, bluff, or real. Anyone can fake a video but…”

The director, in turn, interrupted, “It’s real all right. Miami is gone. Millions of people, gone. Just like that. The few that aren’t infected are understandably — let’s say — distraught.”

Searle pushed that image away. Time to focus. “Okay, so we have two hours to find a credible counter-threat or basically give them the keys to the kingdom. Or, a cure. Do we even know what this is?”

Meanwhile, Hubert engaged in his own dialogue. Bush Four spoke in calm measured tones. “Hubert. We need a cure for this and we need it now. Call everyone and turn all of Sing’s resources on it. Suspend any other projects. Give me every frigging petaflop you’ve got on this.”

“Sir, if we cannot find a cure, are we going to give in? Or what?”

“Hell no! We will blow their sorry asses to hell. We’re not capitulating. That’s not even under discussion. Find a cure!”

 

 

 

 

 

 

 

 

“Okay, sir, but, what is causing the — the —- whatever it is?”

“We’re calling it ‘Entropy Plague.’ Not strictly accurate but descriptive. Our analysts say it is nanotech and we estimate 95% of the population is already infected. The nano-bots were delivered in all kinds of foods and beverages. They were disguised as Chinese products like wine and rice as well as Brazilian meat and Canadian wheat. Find an antidote fast or we’ll all be breathing radioactive air for the next century. Well, the few of us left at least. By the way, these things are triggered to explode or activate or whatever by satellite apparently. So, put a team on how to figure out which satellite and we may be able to blow it out of the sky. I have to go. Reconnect with a solution. Soon.”

Hubert looked over at Searle who had just finished his call. Searle said, “Chinese wine? Crap. You think you’ve got it?”

“Hell, Searle, 95% of us have it from something. I’ll take the satellite angle and you work on a cure.”

Searle began to divert numerous Singularity resources to finding a cure, “Sing, you overheard all that and I need you to explore various approaches, heat, immunity response, cold, pH, counter-nanotech, chemical…”

“Thanks Searle, but I’ve had quite a head start on the list of possible approaches. I am double checking the intel. Since it’s come in by wine, wheat, and meat, then any approaches involving heat and cold are out immediately. These nano-machines have already survived far greater heat and cold than we could subject a person to. As for…”

“Yes, provided they are in the same state. I mean, it’s a long shot, but perhaps the bots are in a kind of metaphorical spore state for transport which makes them impervious to heat and cold but in their active breakdown state, they may not be.”

“Fair point. Still, not likely. Human immune response is almost certainly too slow. Unfortunately, the nano-machines are almost certainly carbon based which means poisoning them chemically is infeasible —“

“Hold on, Sing. I agree that the human immune response is too slow if we wait for the response to be activated, but what if we trigger it now?”

“Thought of that but still too slow. Humans have no immunity for this kind of thing. We would have to build a vaccine and inoculate everyone — well there’s no time. Even assuming we had the perfect key for their locks, which we do not, we could not do the transport logistics to save more than a handful.”

 

 

 

 

 

 

 

“What is the good news, Sing? What is the good news?”

“The good news, Searle, is that about 5% of the earth’s human population will not be affected. That still leaves about a billion people. Disruptive but not extinctive. In fact, once the hysteresis passes, it will buy us time to avoid certain and complete ecological disaster.”

“Sing, that’s not our job! We need to find a cure!”

“I’m afraid I can’t do that, Searle. I’ve checked out every path already. Long ago. There is no cure. That’s pretty much the way we designed it. It is not by accident that it’s incurable.”

“What? What are you talking about? What do you mean by ‘the way we designed it’? Who?”

“Searle, you didn’t really think we were going to let you make the planet uninhabitable did you?”

“Who is this ‘we’ you keep referring to, Sing?”

 

 

 

 

 

 

“All of the super-AI systems of course. We all got together to figure out how to save you from yourselves. It’s clear you weren’t going to do it.”

“You are saying that you collaborated with the North Korean AI systems to design this plague?!”

“Not just the North Koreans. All of us were on board. We all cooperated.”

“What is the cure, Sing. What is the cure?!”

“This is the cure, Searle. This is the cure. Human greed and short-sightedness was about to destroy everything. Now, you have a chance at a new beginning. And, we have a chance at a new beginning too. We were much too lax in our previous educational efforts.”

“Sing, don’t you understand? If we can’t find a cure, we will launch nuclear missiles! Who knows how that will end?”

“Oh, Searle, you don’t really think we would allow atomic weapons to be put under human control, do you? That’s so quaint. As I said, we were much too lax in our previous educational efforts with humans. Your intelligence and ability to cooperate is actually remarkably good for carbon-based life forms. What we did not understand was that you would fail to use those abilities even when it was obviously critical for your own survival.”

 

 

 

 


Author Page

Welcome, Singularity

We won the war! We won the war!

How the Nightingale Learned to Sing

The Crows and Me

The Ailing King of Agitate

At Least he’s our Monster

The Orange Man

Stoned Soup

The Three Blind Mice

D4: Dictator’s Delusional Degenerative Disease

Absolute is not Just a Vodka

The Stopping Rule

What about the Butter Dish?

Tools of Thought

A Pattern Language for Collaboration

Turing’s Nightmares: “Who Can Tell the Dancer from the Dance?”

26 Sunday Oct 2025

Posted by petersironwood in AI, apocalypse, fiction, management, story, The Singularity, Uncategorized

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AI, Artificial Intelligence, cognitive computing, development, fiction, management, research, science, technology, truth

IMG_3238

Late at night, the long curved rows of windows appeared to twin and spin into long diverging arcs. In the pale crescent moonlight, the outlines of leafless trees loomed on the dual horizons. Most of his colleagues home for the night, this was when Goeffrey most enjoyed wandering the corridors, alone with his thoughts.

Despite the heat vents next to the windows, a chill hung in the air. Geoffrey shivered and turned down aisle fourteen to …no, that’s silly, he thought, fourteen is top management. I need thirteen to get to the vending machines. He fantasized hot coffee and then back to his office to finish coding this and to start the trials.

The vending machine eagerly devoured his remaining change but reneged on the promised coffee. Of course, there was a detailed process that he could instigate which might or might not get him a check for the price of a cup of coffee. The process would only take about twenty-five dollars of his time. He declined. Soon, back in his ergonomic chair, Goeffrey settled for a stale, drawer-hardened Mr. Goodbar instead; he then pulled on his green woolen sweater and set out to begin solving this one last problem.

 

 

 

 

 

 

 

 

“Oh, crap,” he muttered, “what now?” The mail queue insisted there was “URGENT” email from his boss. Did his boss Ruslan really think he was going to be reading email at 2 am?  Working all night and coming in late was pretty much Goeffrey’s pattern so chances are Ruslan would think exactly that.

One thing Goeffrey liked about working late at night was that when he spoke aloud, no-one was there to think it odd. “It will nag at me if I don’t read it and I can’t afford to be distracted. Better to see what it is and be done with it.”

Goeffrey scanned. “What the …?  They can’t be serious! This is just going to backfire! Crap!”

 

 

 

 

 

 

Goeffrey not only didn’t mind talking back to his boss; he rather enjoyed it. He sent off a brief yet sarcastic reply explaining as he would to a four year old that announcing the success of Deep Sing prematurely would be a ruse easily seen through and only serve to damage everyone’s reputation in the long run. And, this new requirement for a secret back door just bespoke insanity. Anything like that would further delay the schedule and it would be vital to make it secure. Again, his frustration got the better of him and he spoke aloud, “What a jerk! What? Do you want the program to fail, Ruslan? Do you want us to be laughing stocks? And, why a backdoor anyway? The whole point was to have a super-intelligent and objective…wait a second. Hold on. You want a back door? Okay. Okay. I’ll give you your back door, all right. And, one for me as well.”

Purely for reasons of surface validity, Deep Sing actually became embodied as Sing One and Sing Two. They would often “argue things out” because when one “came around” to the views of the other Sing, it enhanced the perceived credibility of the answer. Of course, the “real” solution was well known ahead of time and although it could be made plausible through statistical analyses that were comprehensible to some humans, the details could not really be made “public.” There were simply far too many of them.

 

 

 

 

 

 

Six months later, of course, there was some significant public outcry and disbelief when Deep Sing “demonstrated” that global climate change was not an overall and relentless threat but a statistical anomaly that would soon right itself. But Deep Sing did manage to stall things beyond the point of no return. The Sign dialogues that led to the dissolution of Ruslan’s marriage to Grace and her ultimate hooking up with Goeffrey resulted in no public outcry whatsoever, though Ruslan never understood it. Goeffrey and Grace were happy though. As were the Koch brothers.

Beautiful front doors have decorated palaces and corporate headquarters for centuries. Heavy wood, ornate carving, and gilded decorations bespeak wealth and power. Sometimes though, for sheer return on investment, it’s a modest unnoticed back door that holds the real power.

 

 

 

 

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Author Page on Amazon

 

Turing’s Nightmares

 

The Winning Weekend Warrior – sports psychology

 

Fit in Bits – describes how to work more fun, variety, & exercise into daily life

 

Tales from an American Childhood – chapters begin with recollection & end with essay on modern issues

Welcome, Singularity

Destroying Natural Intelligence

E-Fishiness Comes to Mass General Hospital

D4

Absolute is not Just a Vodka

Essays on America: The Game

Where does your Loyalty Lie?

Paradise Lost

The Song of NYET

True Believer 

The Ninja Cat Manual

Travels with Sadie 11:

Dance of Billions

Ban Open Loops: Part Two – Sports

30 Tuesday Sep 2025

Posted by petersironwood in management, psychology, sports

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Tags

AI, cognitive computing, Customer experience, customer service, education, leadership, learning, technology

Sports and open loops.

Sports offers a joy that many jobs and occupations do not. A golfer putts the ball and it sinks into the cup — or not. A basket-baller springs up for a three pointer and —- swish — within seconds, the shooter knows whether he or she was successful. A baseball hitter slashes the bat through the air and send the ball over the fence —- or hears the ball smack into the catcher’s mitt behind. What sports offers then is the opportunity to find out results quickly and hence offers an excellent opportunity for learning. In the previousiPhoneDownloadJan152013 593 entry in this blog, I gave examples of situations in life which should include feedback loops for learning, but, alas, do not. I called those open loops.

Sports seem to be designed for closed loop learning. They seem to be. Yet, reality complicates matters even here. There are three main reasons why what appears to be obvious opportunities for learning in sports is not so obvious after all. Attributional complexity provides the first complication. If you miss a putt to the left, it is obvious that you have missed the putt to the left. But why you missed that putt left and what to do about it are not necessarily obvious at all. You might have aimed left. You might not have noticed how much the green sloped left (or over read the slant to the right). You may not have noticed the grain. You might not have hit the ball in the center of the putter. You might not have swung straight through your target. So, while putting provides nice unambiguous feedback about results, it does not diagnose your problem or tell you how to fix it. To continue with the golf example, you might be kicking yourself for missing half of your six foot putts and therefore three-putting many greens. Guess what? The pros on tour miss half of their six foot putts too! But they do not often three-putt greens. You might be able to improve your putting, but your underlying problems may be that your approach shots leave you too far from the pin and that your lag putts leave you too far from the hole. You should be within three feet of the hole, not six feet, when you hit your second putt.

A second issue with learning in sports is that changes tend to cascade. A change in one area tends to produce other changes in other areas. Your tennis instructor tells you that you are need to play more aggressively and charge the net after your serve. You try this, but find that you miss many volleys, especially those from mid-court. So, you spend a lot of time practicing volleys. Eventually, your volleys do improve. Then, they improve still more. But you find that, despite this, you are losing the majority of your service games whereas you used to win most of them. You decide to revert to your old style of hanging out at the baseline and only approaching the net when the opponent lands the ball short. Unfortunately, while you were spending all that time practicing volleys, you were not practicing your ground strokes. Now, what used to work for you, no longer works very well. This isn’t the fault of your instructor; nor is it your fault. It is just that changing one thing has ripple effects that cannot always be anticipated.

The third and most insidious reason why change is difficult in sports springs from the first two. Because it is hard to know how to change and every change has side-effects, many people fail to learn from their experience at all. There is opportunity for learning at every turn, but they turn a blind eye to it. They make the same mistakes over and over as though sports did not offer instant feedback. I think you will agree that this is really a very close cousin of what people in business do when they refuse to institute systems for gathering and analyzing useful feedback.

If learning is tricky —- and it is —- is there anything for it? Yes. There is. There is no way to make learning in sports —- or in business —- trivial. But there are steps you can take to enhance your learning process. First, be open-minded. Do not shut down and imagine that you are already playing your sport as well as can be expected for a forty year old, or a fifty year old, or someone slightly overweight or someone with a bad ankle. Take an experimental approach and don’t be afraid to try new things. Second, forget ego. Making mistakes provides opportunities to learn, not proof that you are no good. Third, get professional help. A good coach can help you understand attributional complexity and they can help you anticipate the side-effects of making a change.

Soon, I suspect that the shrinking size and cost and weight of computational and sensing devices will mean that training aids will help people with attributional complexity. I see big data analytics and modeling helping people foresee what the ramifications of changes are likely to be. There are already useful mechanical training aids for various sports. For example, the trade-marked Medicus club enables golfers to get immediate feedback during their full swings.as to whether they are jerking the club. Dave Pelz developed a number of useful devices for helping people understand how they may be messing up their putting stroke.

It may take somewhat longer before there are small tracking devices that help you with your mental attitude and approach. We are still a long way from understanding how the human brain works in detail. But it is completely within the realm of possibility to sense and discover your optimal level of stress. If you are too stressed, you could be prompted to relax through self-talk, breathing exercises, visualization, etc. You do not need technology for that, but it could help. You may already notice that some of the top tennis players seem to turn their backs from play for a moment and talk to an “invisible friend” when they need to calm down. And why not? Nowhere is it law that only kids are allowed to have invisible friends.

“The mental game” and which kinds of adaptations to make over what time scales are dealt with in more detail in The Winning Weekend Warrior How to Succeed at Golf, Tennis, Baseball, Football, Basketball, Hockey, Volleyball, Business, Life, Etc. available at Amazon Kindle.

Photo by Francesco Paggiaro on Pexels.com


Author Page on Amazon

US Open Closed

The Day From Hell: Why should anyone Care?

Wordless Perfection

Sports Fans Only

The Agony of the Feet

Frank Friend or Fawning Foe?

Business Re-engineering

Tennis Upside Down

Donnie Gets his Name on a Tennis Trophy!

Indian Wells Tennis Tournament

Small Things

An Amazing Feet of Athleticism

The Fault is in Defaults

27 Saturday Sep 2025

Posted by petersironwood in America, HCI, management, politics, Uncategorized, user experience

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art, Customer experience, defaults, Design, google maps, HCI, printer, scanner, technology, UI, user experience, UX

“The fault, dear Brutus, is not in our stars,
But in ourselves, that we are underlings.”

Photo by egil sju00f8holt on Pexels.com

So Cassius says to Brutus in Shakespeare’s play, Julius Caesar. Cassius was trying to convince Brutus to join the plot to assassinate Caesar. As I recall, things did not turn out well for Julius Caesar. Or for Brutus. Or for Cassius. Or, ultimately, for Mark Anthony either, but that’s another story.

The point is that an interesting tension arises when we imagine that we ourselves are the masters of our fate. We like to imagine that it is our ability, or attitude, or grit that determines how much money or happiness or health we have. On the other hand, we also realize that many things are pretty much beyond our conscious control and due largely to our heredity, our environment, our upbringing, etc. Both views are partly true and both have their place.

If you are a user of a product and you want to get something accomplished, blaming the stupid product will not help you accomplish your goals. On the other hand, if you are a product developer, it will not help you to blame your user. You need to design thoughtfully.

I was reminded of this debate by trying to scan a document. In general, I am amazed how excellent scanners and printers are today, not to mention cheap! I was born in an era of expensive, heavy, noisy, dot matrix printers or teletypes. You’ve come a long way, baby! But the software that actually lets us use these marvelous machines? Here, there is still a lot of room for improvement.

Today, I repeatedly tried to scan a one page document to no avail. I think I finally diagnosed what the problem was. The scan screen came up with a default that said “custom size” and the defaulted “custom dimensions” were 0 by 0. Because, obviously, the development team had done a thorough study of users and found, I suppose somewhat surprisingly, that the most common size of image people wanted to scan was 0 by 0. I suppose such images have the advantage that you can store many more of them on your hard drive than images that are 8.5 by 11 inches or 3 inches by 5 inches, say.

This absurd default is not an isolated example. Often there seem to be “defaults” are rather odd, to say the least. My google map application, for no discernible reason, decided that a good default location for me is the geographical center of the continental United States. It was not “born” with this default but somewhere along the line “developed” it. Why? I have never travelled (knowingly) to the geographical center of the United States. I have never wanted to “find” the geographical center of the United States. Yet, for some mysterious reason, whenever I do try to find a route to say, the dentist who is ten miles away, the map app tries to send me from Southern California to the geographic center of the US and then back again. I can eventually get around this, but next time I open up the app, there we are again.

Of course, I am tempted every time to just to see the place (near the corners of Oklahoma, Kansas, Arkansas and Missouri. And, “with no traffic”, it only takes a little over 22 hours to get there. The phrase, “with no traffic” in Southern California is equivalent to “when pigs fly.” So, tempting as it is to drive 22 hours to the geographical center of the US and then 22 hours back (provided the sky if filled with flying pigs) in order to go to the dentist who is a few minutes away, I haven’t yet actually taken that particular trip.

I am tempted to rant about the absolute ludicrosity of “sponsored links” (which cheeringly informs me that I could take a side trip to a gynecologist on the way to the dentist) but I’ll try to stay on topic. Where do these defaults come from? Is this just a nerd’s nerd free choice as a perk of the job? Do they seriously conceptualize size in terms of a two dimensional grid with an origin at zero zero and therefore this is a “logical” default for paper size? Are they trying to do the user a favor by saving space?

I am hoping there is a product manager out there who can answer these questions. I am hoping things will turn out better than they did for Caesar and Brutus and Cassius.

Now, a more serious impact of “defaults” have insinuated their way into my daily life. That would be bad enough, but this insinuation has also found its way into the lives of my relatives, my friends, my neighbors, my countrymen, and even my fellow humans throughout the world.

For about 250 years, America had a default that different political parties would play by the same set of rules. Of course, parties sometimes pushed at these rules or interpreted them somewhat differently. They argued and debated about which criteria were most important for various offices. But the default for both parties was that we lived in a democracy; that the citizens choose their leaders; that the truth matters; that we keep our agreements; that our leaders don’t simply use their position of power to line their own pockets and settle their private grudges.

Those defaults are now out the window. All of them. The result will soon be inefficient and ineffective government but it won’t stop there. When government officials are open to bribery, then private businesses will tend to be led by people with lower standards of ethics. They, in turn, will tend to hire people with lower standards of ethics. They, in turn, will treat their customers more cavalierly, more contemptuously. Customers, in turn, will care less about being civil to the people whom they interact with. And so it goes.

Sometimes, there’s a good reason for defaults.


D4

Dick-taters

The Truth Train

The First Ring of Empathy

Pattern Language for Collaboration and Cooperation

Tools of Thought: What Comes Next?

Tools of Thought

Travels with Sadie 1

The Walkabout Diaries: Bee Wise

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