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Non-Linearity

04 Sunday Jan 2026

Posted by petersironwood in America, management, psychology, Uncategorized

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AI, environment, equilibrium, feedback loops, life, ping pong, politics, research, science, sports, story, systems thinking, table tennis, testing, truth, writing

Non-linearity

A Chessboard Full of Rice

According to myth, the Emperor’s wise adviser once did him a great favor. So grateful was the Emperor that he begged his wise advisor to take any gift she might like from the vast treasures of gold or jewels, any lands or gardens, any of the Emperor’s many male children to be her companion. However, the advisor answered as follows: “Thank you for your generosity, oh mighty Emperor. I have no need of great material wealth. My needs and wants are simple. I do get hungry and thirsty, of course, as do we all, and sometimes my household runs short of rice. You see this fine chessboard?”

battle black blur board game

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“Oh, yes, my wise counselor, it is indeed finely made of gold and silver and I would gladly give you twenty such!” 

“Thank you again for your generosity, but I only wish for a some grains of rice. Give me one grain on this space and tomorrow, two grains on this space and the next day, four grains on this space. Each day for 64 days, double the number of grains of rice you gave me the day before. At the end of the 64 days, I will ask for no more.” 

The Emperor looked puzzled. “Surely, you must have something more valuable than rice! Name it!” 

“No, Sire, that is all I desire. Just the doubled rice will do quite nicely.” 

“Well, it shall be so!” And thus the Emperor told his staff that they were to provide a grain of rice for the first day, two grains of rice for the next day and to double the amount each day until all 64 days had passed. At first, it seemed such a pathetic gift for such a great favor. 

Even after 8 days, the wise counselor only received 128 grains of rice – not even a bowlful. 

Readers familiar with exponential growth realize that on the 64th day, the Emperor has promised to deliver 2**63 grains of rice. This is not only more rice than the Emperor had at his disposal. It is more grains of rice than exist in all the kingdoms of earth. To be exact, the last payment is meant to be 9,223,372,036,854,775,808 grains of rice while the total is one less than 2**64. To put the matter scientifically — it’s a lot of rice! Much more than exists in the world. 

How would you like the story to end? A wise Emperor, to my mind, would thank the counselor after a couple weeks and say, “I see, oh wise Counselor, that you used my gift to give me another gift to enhance my wisdom. For I now understand that what seemed at first an easy thing to do is actually quite hard. Doubling soon undoes even the richest king. I will keep this in mind when I think about interest rates and population growth.” 

A crummy Emperor, on the other hand, might say, “I offer you a gift and you see fit to embarrass me by making me agree to an impossible task? Boil her in oil!”

The Lily Pad Pond Puzzle. 

Beside my house is a pond. In this pond, a lily pad began to grow. Every day, it doubled in size. On day 20, it completely covered the surface of the pond. The surface of the pond is 400 square feet. How many days did it take to cover half of the pond? 

red and green lily pads focus photography

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At first glance, you might think this problem is insoluble because you don’t know how big the lily pad was initially. In fact, you don’t even need to know how large the pond is. It will cover half the pond on day 19.  

The Ping Pong Table Ping Pong Player Population

When I began at IBM Research in 1973, I soon discovered that a fair number of researchers were avid table tennis players. At lunch time, somewhere between six and twenty researchers would show up to play. There were two tables and some small amount of room for spectators to stand on the edges of the two ping-pong rooms and watch. Our rule was that if a person won, they would stay at the table and a new challenger would play. However, if you won three times in a row, you had to sit down regardless. I didn’t go over every lunch time, but I went over quite a few times over the course of my first ten years there and there was invariably someone to play with. Sometimes, I had a longer wait time than others, but it was never too long a wait. 

Then, because management wanted to use one of the two ping-pong rooms for other purposes, they repurposed one of the rooms. Now, there was only one ping pong table. In the two ping-pong table case, remember, I never had to wait too long nor did I ever go there and have no-one to play. As I said, the number of players varied between somewhere around six to twenty. What is your prediction about how many players showed up when there was only one ping pong table? 

Here’s what happened. The first day after this change happened, I went over and about fifteen people showed up. I, like everyone else, waited a long time for a game. Our “official” lunch hour was actually 42 minutes and the building was a five minute walk away. So, if you had to wait a half hour for your chance to play, it really wasn’t that much fun. In addition, there were some more subtle effects. All the players were good, but there some substantial differences in skill level. People tried to arrange it so that they played someone at about the same level. WIth only one table, this was trickier. In addition, when a relatively large number of people showed up, it was too crowded for everyone to see the match without interfering with play. It happened that I was too busy to go for a few days. The next time I showed up, no-one was there. Some of us talked about trying to “organize” the ping pong to insure that enough people showed up but everyone was busy and no-one wanted to take this on. Scheduling researchers is harder than you might think. It was hard for people to make a commitment to show up at noon because a meeting might run over, their manager might give them extra work, etc. The number of people showing up swung wildly for about two weeks and then stabilized. 

At zero. 

What had been a vibrant community with two ping pong tables did not stay the same size, or shrink to half when we were limited to one table. It went to zero. 

Warring Positive Feedback Loops. 

We’ve already talked about “positive feedback loops” which are also known as “vicious circles.” Sometimes, there are actually (at least) two positive feedback loops hiding beneath what appears to be a stable system. In the Case of the Missing Ping Pong Table described above, one positive feedback loop was simply that when you went there and had a good time through some combination of watching good matches or playing yourself, you were more likely to go there again. There was also a positive feedback loop that was more of a social nature. The more people who were there, the more likely it was you would find a good or interesting match. It was also more likely to be able to find someone you wanted to have a conversation with although the venue prevented this from being a big part of the adventure. Another way that having more people there increased the chances that more people would be there the next day was that it was kind of exciting to have a larger audience watching, cheering, throwing the ball back when the ball crept under the radiator after pin-balling around for awhile after a decent slam. 

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At the same time, there were other feedback loops, sometimes of the same factors but in a different range. For instance, beyond the point of having the periphery of the playing field covered one or two deep, additional spectators added only a little excitement and they were more likely to infringe on the needed space around the table. In addition, while the first ring of spectators felt very much a part of the action, the experience for the second ring of spectators was far less engaging. While I mentioned above that more players meant a better change of finding a good match, it also meant that one had to wait longer between matches. The worst case scenario, of course, is that you are the only one who shows up. 

Behind Every Abstraction are a Host of Personal Stories. 

Yes, you can practice against the wall, and I did this a few times, but it is significantly less fun than a real match. I love to serve, for instance. I have a raft of difficult serves. Just to give you one example, with most set-ups, I can hit the right side of the ball so thinly that I put enough side-spin for the ball to appear as though it isn’t even going to hit the table on the second side, but it does; it curves radically back around to the left. Sometimes people are so surprised that they miss it entirely. Even if they get there, the sidespin often makes them hit it off the table or the curve causes them to mis-hit the ball on their thumb or finger. I can also add a fair amount of top-spin or under-spin as well. Anyway, I didn’t get to do any of that just hitting the ball against the wall. The wall was not perfectly smooth either. So I might hit three of four shots and then the ball would hit a little imperfection in the plaster and careen off to scribble scrabble along the floor and then crawl under the radiator. It’s the kind of annoyance that everyone has experienced. And if someone else is there, you can kind of glance at your friend who nods nearly imperceptibly as you get down on your hands and knees and stretch your fingers into the territory of God-knows what spiders or broken glass and feel around through the grit and dust until you retrieved the ball. And that little glance and that little nod actually make quite a difference. If you’re on your own, it’s not any fun at all. It’s just an annoyance. The only reason I even bother to hit against the wall is to learn to keep focus for extended periods of time. For this, it is good practice and a good challenge. But, if I’m interrupting this to go fish my hand into a pile of dust every couple minutes, it isn’t so likely I’ll come back. 

close up portrait of owl against sky

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These various factors were all in a dynamic balance so long as there were two tables. When the tables went from two to one, however, what had been a stable equilibrium became a very unstable one. Eventually, of course, it did find a new equilibrium point and that was zero. To crawl out of that, one person might show up. But most of the time, they were the only one. So, they would be less likely to come again. Even if two showed up, since no-one could play every day, you might still find yourself wondering whether someone would be there the next time. 

bandwidth close up computer connection

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You might have read this whole story and wondered why the hell this building full of Ph.D.’s couldn’t get their act together and arrange some matches. It’s an interesting question and here is my personal opinion. When it came to these brilliant scientists and engineers, they came from every part of the globe and they came in all shapes and sizes. Some were vastly overweight and others were ultra marathoners. But the ones who liked to play table tennis were, by and large, athletic and “hyper” – an impatient lot. What all of us really loved was working to find out the truth. And, these truths that we sought were ones the company that we worked for wanted us to seek. True enough, but by the same token, that meant the truth found and utilized would make people’s lives better in some way in the not too distant future. But working in a corporation also meant doing a bunch of administrivia. So, the ping pong set of people, in particular, wanted to get up from their intense sedentary mental and administrative work and play hard at something completely physical and different. The last thing any of us wanted to do was add more administriva to our lives. 

The Takeaway

 It’s easy and common to assume implicitly that the systems you deal with are linear.

They often aren’t. 

Things can go out of control extremely quickly (into a dominant positive feedback loop) once the dynamic equilibrium is disturbed. 

Would the invention of the iPhone have kept the ping pong community going? 

Another takeaway: there are two quite distinct ways of analyzing that are going on in the essay above: a fairly abstract one (even if it uses concrete examples like rice and lily pads) and a very concrete and experiential one. In my experience, both of these modes are useful and valid and if taken together give a fuller picture of what’s going on. My experience in this was mainly in human computer interaction but I think it is equally true for many in law, medicine, management and many other fields. What’s your experience? 

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Author’s Page on Amazon.  

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What About the Butter Dish?

A Little is Not a Lot

The Jewels of November

The Stopping Rule

Wednesday

We Won the War! We Won the War!

Roar, Ocean, Roar

Destroying Government Efficiency

E-Fishiness Comes to Mass General Hospital

Small Things

 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. 

bullion gold gold bars golden
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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! 

photo of head bust print artwork

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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. 

cards casino chance chip

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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.  

adult athlete body bodybuilding

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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. 

beautiful christmas fashion female

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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

 

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. 

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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

———————-

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. 

Systems Thinking: Positive Feedback Loops

17 Wednesday Dec 2025

Posted by petersironwood in America, creativity, psychology, Uncategorized

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

Systems Thinking: Positive Feedback Loops

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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————————

Author Page on Amazon. 

Love and Guns

D4

Dick-Taters

We won the war! We won the war! 

Guernica

A Civil War there Never Was

The First Ring of Empathy

The Walkabout Diaries: Life Will Find a Way

Travels with Sadie 1: Lampposts

Donnie Gets a Hamster

An Open Sore from Hell

Roar, Ocean, Roar

The Dance of Billions

The Siren Song

Imagine All the People…

You Must Remember This

At Least he’s our Monster

Stoned Soup

The Three Blind Mice

Wednesday

What About the Butter Dish?

And, then what?

16 Tuesday Dec 2025

Posted by petersironwood in creativity, psychology, Uncategorized

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

And then what? 

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

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

 

 

 

 

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

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

But in life? 

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

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

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

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

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

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

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

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

So: 

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

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Author Page on Amazon. 

The Update Problem

Essays on America: Labelism

Essays on America: The Game

The Invisibility Cloak of Habit

Timeline for RIME

Guernica

There Never was a Civil War

The Crows and Me

After All

At Least He’s Our Monster

The Siren Song

Occam’s Chain Saw Massacre

Math Class: Who are you?

The First Ring of Empathy

Sadie and the Lighty Ball

Roar, Ocean, Roar

Life Will Find a Way

Cancer Always Loses in the End

Secret Sauce

04 Tuesday Nov 2025

Posted by petersironwood in driverless cars, psychology, The Singularity

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AI, Artificial Intelligence, cognitive computing, communication, Cooking, ethics, integrity, interaction, marketing, sauce, science, technology, the singularity

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No need to panic, thought Harvey. Ada should be back soon. Or, I can go to a neighbor. I am not going to freeze to death on my own front porch. Harvey shivered just then as another icy blast hit him. He turned and scanned the neighborhood. Crumpled cars blocked the streets. None of the houses in his immediate area were lit. Wasn’t this the season of lights? I suppose one of the motorists could help if any of their cars is still in working order. And they were willing to break the law and leave the scene of an accident. And they had sense enough to have snow tires.

He stamped his feet on the concrete. Harvey told himself that this was to keep circulation going, and not some childish outburst of frustration. He looked down the street and saw two dim figures approaching arm in arm from the direction of the Von Neumann’s house. As they drew nearer, he heard the warm voice of his sweet Ada.

“Hey, Harv! Did you decide to come out and enjoy the winter beauty too?”

“Hi, Ada. Please tell me you have a key.”

“Sure. I always take my keys when I leave the house.” She laughed. “Wouldn’t want to lock myself out.” She chuckled again. “Guess what? I found Lucy out for a walk too and I invited her over for dinner.”

“Hi, Lucy. Sure. We’re just having mainly mixed veggies for dinner, but if that’s okay…”

Lucy smiled. “Great with me, Harvey. Thanks!”

Ada spoke again, “Come on Harv. It’s beautiful outside but we’re cold. Let’s go in! Besides too much traffic out here for my taste. What a crash! Say, isn’t that …in fact, aren’t those two blue cars ones that you worked on? I thought they were supposed to be uncrashable.”

Harvey sighed. “Well, nothing is uncrashable. AI cannot undo the laws of physics. No doubt, some human driver without proper tires or following too close started a chain reaction.”

Ada said, “Yeah. Let’s discuss this inside. Okay?”

“Sure,” said Harvey. “Can you get the door?”

 

 

 

 

 

“Well, okay. Oh! You didn’t lock yourself out did you?” Ada laughed in soprano and Lucy added the alto line. “You picked a great night for it.”

“I’ll explain inside.”

Ada unlocked the door. In the trio went, shook off their snow, removed their boots and headed into the kitchen. Harvey began unloading vegetables from the fridge while Ada turned on some Holiday music. “Hey, Harv, how about the three of us stand JCN at trivia while you cook?”

Harvey did not really want to explain that he may have accidentally wiped out their bank account with Lucy in the room. “No, let’s just talk. Let JCN go dream or whatever it is he does. I just feel like human voices tonight.”

“Okay, Hon. Did you see the accident? How it started?”

“No, I was inside when I heard the crash, and then, I started to worry about you so….Anyway, Lucy, any vegetables you don’t like? Sweet potato okay? And cilantro? And how about curry sauce?”

“All, good, Harvey. I’m easy. Anything is fine with me.”

Harvey stole a quick glance at Lucy. Was that a double entrendre? Surely not. He was imagining things. “Cool. I’ll start with the sweet potatoes. They take a little longer.”

Harvey quickly filled the skillet with a little olive oil and some orange flavored bubbly water, added the spices and began cleaning and chopping.

Ada said, “Harvey makes a really good sauce for vegetables.”

Harvey, meanwhile, focused on not adding his finger to the mix. His mind was elsewhere. He wondered whether the pile-up outside had really been caused by human error or…

Lucy chimed in. “Sounds delicious, Harvey. What’s in your secret sauce? I’d love to have it.”

Harvey frowned slightly, “Well, there’s no real secret. Secret sauce. Secret sauce. Why do people have sauces? Did you ever consider that?”

 

 

 

 

 

 

 

 

 

Ada laughed again. The Holidays seemed to make her genuinely happy. “No, I haven’t, but I’m sure you are about to tell us.”

Harvey continued to chop sweet potato, as he began, “Maybe that’s what’s wrong with Sing. No secret sauce. No sauce at all, in fact.”

Lucy spoke up, “What? What are you talking about, Harvey? You want to put your sauce into a computer system? Well, I’m sure I’d love it, but I’m not so sure about the Sing.” Now Lucy and Ada both laughed.

Harvey continued, “You see what the water does?”

Lucy wanted to play along. “Cooks the vegetables? That would be my guess.” Lucy and Ada laughed again.

“Exactly!” agreed Harvey, “but how? Do you see? Water boils at 100 C. No matter what the heat is, it never gets hotter in the pan than 100 degrees. The sauce gaurantees a constant cooking environment.”

Lucy seemed uncertain. “But you can make it hotter by turning up the flame, right?”

“No. No. It may boil more vigorously and I’ll run out of sauce sooner, but the temperature will remain constant. That’s one effect. But there’s more. The sauce guarantees a constancy of interaction!”

 

 

 

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Ada asked, “Interaction? You are saying the sauce let’s the veggies talk to each other?”

In the background, “We Three Kings” began its mournful minor musings. “Yes,” mused Harvey. “Exactly. I mean, they obviously do not literally talk, but imagine these vegetables are cooking and there is no sauce. In some cases, you have a piece of sweet potato next to a piece of red pepper so they share flavors. In another case, a piece of sweet potato is next to broccoli so they share flavors. The sauce provides a way for all these vegetables to exchange flavors evenly throughout the whole dish. And the key. The key in music. All the notes “know” what the key is so the choice is limited by this global structure. And the beat of course. Everything works in harmony. All because of the secret sauce! But there is no secret! It’s been right in front of us the whole time!”

Ada was no longer laughing. “You’re probably right, Harv, but are you feeling okay? Maybe you got a little hypothermia out there?”

“No, no. I’m fine. Don’t you see? The rhythm and the beat of the music! They provide a coherent overall structure for all of these different instruments and notes to play nicely together.”

 

 

 

Photo by Pixabay on Pexels.com

 

 

Lucy added, “Well, I for one am all for playing nicely together.”

Harvey stopped chopping for a moment. “Exactly! There are global rules that make the individual parts work together. And, the curry sauce not only provides a consistent basis for the dish. It also dictates, or at least influences, which elements I add to the vegetables. Some vegetables are not going to taste right or look to be the right color with curry sauce. And, it lets them all communicate in a common language. You see? We humans see something like cars crumpled up and hear the crash and we can put the two together. Right?”

Ada had lots of experience with the way Harvey’s mind worked so she realized he was quite serious. Lucy, on the other hand, assumed he was just trying to be funny or had had a couple martinis before she arrived on the scene. So Lucy decided to play along, “Well, Harvey, all this talk about your secret sauce is giving me an appetite. Any ETA on dinner?”

Harvey continued, “But the Sing doesn’t have any secret sauce. Nor JCN. There is no overall way for the various pieces of knowledge to work together in a harmonious whole. That’s why JCN wiped out our bank account! That’s probably why the cars crashed too.”

“Smells delicious, Harvey,” Lucy said.

Ada was beginning to forget about dinner. “Harvey. What did you say about our bank account?”

“The Sing needs a way for the parts to work together in a harmonious overall structure! Otherwise, any slight error can be magnified in particular cases. Once the system tries to operate on cases that are outside of what was imagined at design time, there is no gaurantee about results!”

“Harvey. Go back to the part about our bank account.”

Harvey stirred the vegetables absent-mindedly. “If I let this sauce all boil away, the same thing will happen. Some vegetables will get burned. The taste and texture will no longer work together.”

Ada was not to be deterred. “Harvey. Tell me about our bank account. What do you mean that it was wiped out?”

 

 

 

 

 

Photo by Pixabay on Pexels.com

 

 

“Yes, Ada! That’s what I am saying. Of course, there are rules and the rules cover a huge number of cases. But there is no overall set of principles that the Sing has to abide by. There is no secret sauce! There is no sauce of any kind. It’s ALL vegetables. I think dinner is ready. Lucy did you want yogurt or cheese on yours?”

“Yum. Give it to me with yogurt please.”

“Okay, Lucy. And I know Ada likes hers that way too.”

“Right you are Harvey. What about our bank account?”

Harvey’s eyes looked away from the mind maps he was drawing in his head and he looked at Ada directly. “Ada, let’s eat first. I am sure that we can restore our bank account somehow through back up systems. JCN made an error. But I didn’t transfer the money or really authorize any payments or anything like that. It’s just a bank error. But for now, let’s eat. We can recover, Ada, because the human systems that surround and control the Sign still include sauce. At least for now.”

In the background, “Joy to the World” began playing in 4/4 time in D major.

 

 

 

 


Author page

Welcome, Singularity

Parametric Recipes and American Democracy

Corn on the Cob

Absolute is not just a Vodka

Finding the Mustard

Roar, Ocean, Roar

Dance of Billions

https://www.barnesandnoble.com/w/dream-planet-david-thomas/1148566558

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.

 

 

 

 

Photo by Mikey Dabro on Pexels.com

 

 

 


 

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

Galactic Best

24 Wednesday Apr 2024

Posted by petersironwood in nature, poetry, science

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Tags

earth, life, nature, photography, poem, poetry, science, space, truth

Photo by Pixabay on Pexels.com

Once upon a time I longed,

To be an astronaut in space.

Me: flying through the galaxy.

Exploring planets, moons, and stars. 

Photo by ZCH on Pexels.com

Was boosted by the Sputnik shock. 

I read of planets hot and cold.

And watched the tale of Spock unfold.

I never tired of voyaging bold.

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Humanoids are everywhere.

Diverse: each world a universe

That some day might just come to be.

Out beyond infinity.

A lifetime’s travel in my mind

Has brought me back at last to find:

A planet ‘neath an azure dome. 

It’s blanketed with life—my home. 

Photo by Pixabay on Pexels.com

And here’s the lovely crazy cast:

A million species interact.

In ways surprising, subtle, vast

This network all a single clan.

This perfect planet filled with beauty, 

Spirals through the milky way.

My spaceship’s filled with luxury

Kaleidoscopic every day!

It is, quite simply put, the best.

And though I’ve not seen all the rest,

Each flower I see: creation swirled

A wonder whirling living world.

————————

How the Nightingale Learned to Sing

Life is a Dance

Take a Glance; Join the Dance

The Dance of Billions

Corn on the Cob

Author Page on Amazon

Occam’s Chain Saw Massacre

30 Thursday Sep 2021

Posted by petersironwood in Uncategorized

≈ 9 Comments

Tags

Occam's Razor, parsimony, science

Photo by Karolina Grabowska on Pexels.com

Who is Occam? 

And, why does he have a chain saw? 

And, why did we let him get away with a massacre? 

Patience. We will address these questions presently. 

First, who is this Occam anyway? 

Wikipedia provides a pretty succinct summary. 

https://en.wikipedia.org/wiki/Occam’s_razor

There are some interesting details, however. The most important detail is that what is “simplest” or “requires the fewest assumptions” depends on the representation system that you use and upon the assumptions that are so basic that you don’t even count them as assumptions. 

Let’s take a look at flowers. Why flowers? Because they are nice to look at. I could make the same argument with anything else, so why not pick something beautiful? 

Let’s say that you land on planet earth from a flowerless planet. You wander around and you see this flower — a yellow rose. You observe this flower over time and you see that it emerges from a bud. Then, it grows bigger. Eventually, the petals fall off. 

Now, you see another flower. It is in full bloom as shown here. 

What will happen in the future of this flower? We have stipulated that this is only the second flower that you’ve ever seen. Right now, it’s in full bloom. Is it more parsimonious to believe that it too will lose petals? Or, is it more parsimonious to believe it will forever stay in its current state? 

If you came from a planet in this universe, your overwhelming experience will be that most things change over time. Some things change quickly and some things change slowly, but all of these “things” change over time. From that perspective, even if you don’t know that all flowers eventually lose their petals, you might well think it most parsimonious to think that it will change somehow on some time scale. 

Now, you see more flowers and observe them over time. In every single case, flowers grow from buds, they blossom and eventually they lose their petals. Now, you come upon your 4000th flower. You see it in the steady state shown below. 

Is it more “parsimonious” to think it too will lose its petals? Or, since you have no direct evidence about this flower’s future, do you think it more “parsimonious” to think: “Oh, no, it will stay in this state forever.”? 

Now, let’s change the situation slightly. You don’t just see flowers. You see thousands of different life forms on earth. Some of them live to be thousands of years old. Some of them live for days. None of the individual life forms you see live forever. Now, you come upon a life form you’ve never seen before; e.g., a snail. This is your first snail. Interesting. It moves rather slowly, but it does move and respirates and if you study it closely, you will  eventually discover that it ingests food, excretes waste, mates, and dies. 




Now, you come upon your first lizard. It looks quite different from a snail. Do you think it will die? Is it more parsimonious to believe it will eventually die or more parsimonious to think it will not die because you don’t see it dying? Do you think it more parsimonious to think that it mates, breathes, eats, grows or do you think it’s more parsimonious to think that none of those things are properties of lizards because you’ve never seen one mate, breathe, eat, or grow? 

When it comes to your own experience, you notice that your experience is related to external and observable behaviors and states. When you haven’t eaten for a time, you feel hungry. If you feel hungry for a long time, it’s rather unpleasant. If you eat, you notice that you feel better. If you have been exercising hard and sweating, you may feel thirsty. If you drink, you feel better. If you are awake for a long time, you begin to nod off. Your mind begins to wander. You feel like sleeping. 

So, when it comes to you, you notice that there are fairly reliable experiences that correlate pretty well with repeatable external events. These are not perfect correlations. I observed a child once with a hypothalamic tumor who was starving to death but did not feel like eating. As people age, they need to be more careful to stay hydrated because felt thirst becomes a less reliable signal of their bodies need for water. We feel desperate to breathe when the carbon dioxide concentration in our blood increases, but what we really need is oxygen. A lack of oxygen, per se, does not cause us to “feel” the need to breathe more. Early pilots went up into the sky and failed to put on their oxygen masks and died. On Everest, many have died from lack of oxygen. If you get dunked under water, on the other hand, your carbon dioxide will build up and you’ll feel a desperate need to breathe. But if you suffer from carbon monoxide poisoning (which you prevents your blood from taking up oxygen), you will not feel such a need. 

Photo by Luca Nardone on Pexels.com

Despite these exceptions, in general, our subjective experiences are related to external events. We do not question whether we ourselves have subjective experiences. What about others? Do they also have subjective experiences? Most of us believe that other humans also feel hunger, thirst, pain, etc. And, most of us believe that others feel more subtle experiences as well such as love, hate, curiosity, pride, humiliation.

We may feel empathy for others, but we do not directly experience what they experience. We infer what others feel based on their actions and external signals. If you’ve studied science at all, you will also know that other people’s internal structures including their bodies, brains, nerves, hormones, and so on are much like ours — not just in terms of the organs but also in terms of the cells and the DNA and RNA within the cells. 

When it comes to a dog, you may know that they have pretty much the same body we have. We do many of the same basic behaviors and we have the same basic internal structures. Our brains are generally bigger. We generally stand on two legs and they generally stand on four. Which is more parsimonious? Is it more elegant to believe that they do feel pain or to believe that they do not feel pain? They certainly do get excited about having sex. Is it more elegant to believe that they enjoy it or to believe that it is just a reflex and declare that “we have no idea” whether they enjoy it. They take care of their puppies. If a puppy is taken away from its mother at an early age, it acts as though it is suffering. Is it more parsimonious to believe it is suffering or is it more parsimonious to believe that “we know nothing about his or her feelings”?

Photo by Kalen Kemp on Pexels.com

Mammals share most of their biological history with us.
Mammals share most of their genes with us.
Mammals have most of the same organs and tissues as we do though they are of different sizes and shapes.
Mammals exhibit the same kinds of behaviors that we do in response to the same sorts of stimuli.
Mammals can learn and solve problems. 

Mammals mate and care for their young. 

Do you think it’s more “parsimonious” to believe that they do experience life in much the same way we do? Or do you think it’s more “parsimonious” to believe that they do not have any conscious experience? 

Photo by umit ozbek on Pexels.com

The second and third questions, I believe, are best considered together because the answers are inter-twined. Occam has a chain saw, and not just a razor, because humans are generally greedy. Like height, weight, running speed, and virtually every other characteristic of humans, the greed variable shows variability. Variables, variability, vary. It is quintessentially life that there is such variability. Some people grow up to be taller than others. This is partly due to genetics and partly due to the environment. Similarly, some people grow up to be more curious; some are less curious. Some people grow up to be better sprinters than others. Again, this is partly due to genetics and partly to environmental pressures. Partly, it is due to their own choices. A person who runs fast in grade school, for instance, may think of themselves as fast and run more than a person who runs very slowly. They may seek out coaching. They may join a track team. Their choices impact the environment they put themselves in and this in turn, makes them even faster. 

It is the same with greed. People who have a natural tendency toward greater greed may also be born into a family or a culture of like-minded people. The people around him or her may actually admire and reinforce greed. So, they become greedier over time. There is, however, one huge difference between height, intelligence, running speed, and most other characteristics and greed. A very tall person cannot make themselves still taller by buying the height of others. A very intelligent person may, to some extent, buy a good education which will make them a bit more intelligent. But they cannot buy a doubling of their IQ. A person who runs well may attract, and be able to afford, better coaching. In that way, they will learn to run even faster. But not twice as fast. The best coaching and nutrition in the world will not turn a 10.0 100 meter dasher into a 5.0 100 meter dasher.

An extremely greedy person, however, may relish and thrive in environments that gain them wealth and power. They can do much more than merely double their wealth and power. They can have ten, a hundred, a thousand, or even a million times more wealth than others. They can leverage the greed of others to gain much more wealth and power for themselves. In the process, they will likely become greedier still. While “trickle down economics” is simply a myth to rationalize the flow of wealth from your wallet to the wallets of the very richest, “trickle down greed” does work, at least to a considerable extent. 

The greediest, wealthiest, most powerful people can afford to buy the services of the best lawyers, the best accountants, the best managers, the best politicians from amongst those who themselves have a statistically outsized amount of greed. That is largely why they can end up far, far wealthier and more powerful than “average” people. This is not to say that the very best lawyers, accountants, managers, and politicians can all be “bought.” There are undoubtedly some excellent lawyers who won’t take a lucrative case for a known criminal sleaze bag. But the richest and most powerful people will always be able to choose from among the most greedy people on the planet, those who are particularly skilled at anything. 

Humans can communicate and cooperate with each other. That is a good thing, in general. But it also puts a very strange “kink” in “survival of the fittest.” In a small tribe of humans who are trying to cooperate, imagine one among that tribe who was always trying to steal much, much more than their fair share. Such a person would not be likely to thrive. First, they would be easier for a predator to bring down. Second, people could see the outsized greed on display every day and the tribe may exile such a person or kill them outright. If an entire tribe arose which was overly greedy, they might easily hunt and gather and fish the local food supply into ruin and all starve. At a very local level, an exceptionally high level of greed is self-destructive. 

In a complex society however, it is possible for extremely wealthy and powerful and greedy people to insulate themselves from the natural destructiveness of wanton addictive greed. Such people can “buy” publicity, governmental exceptions, and hire some of the best manipulators money can buy so that, instead of the vast majority of people being upset with the very greediest amongst us, their natural resentment and anger are instead steered toward the very short, the very tall, the slowest, the fastest, the darkest, the lightest, people who like different food or wear different clothes. The possibilities are nearly endless in terms of the details but the basic strategy has been the same since the time of the earliest “ruler class.” Take, take, take and use what is taken to build castles, hire knights, mislead, mis-educate, etc. in order to rationalize and protect the outsized greed. 

The protection garnered from outsized addictive greed is time-limited, however. In the long run, nature wins. The outsized greed of a few, if unchecked, will destroy humanity, including the greediest. But for millennia, most of the negative impacts of greed have hit the people who have the least. As the planet cooks and poisons spread through our water, air, and food supply, everyone will eventually be hurt including the richest and most powerful.

Why, you may be asking yourself, did we take such a long detour into the nature of greed when we are talking about parsimony? The real reason that people have moved away from the stance of natural economic use of resources and a felt kinship with all of life is that our current disconnection from life and the sentience of other life forms is that it feeds the greed. In other words, it is a convenient rationalization to think that “science shows” that other life forms don’t “really” feel pain in the same sense that we do. If we were to recognize that all life is related; if we were to recognize that all life is sentient; if we were to recognize that all life is precious — then it would be much harder to hunt for sport, to force feed animals for slaughter, to treat animals as just another kind of tool.

Photo by Skitterphoto on Pexels.com



Conversely, when we treat other life forms badly, it not only provides a rationalization for killing more of them than we “need” — it also provides a convenient rationalization for killing, torturing, and exploiting other humans. After all, “they” are not fully human. If “they” look different or speak differently or dress differently or worship differently or make love differently, to a civilization that is used to exploiting other life forms and wantonly killing them, it is a short step to being able to rationalize being cruel to these other humans — to “them.” 

So…

There may be cases where we should use Occam’s Razor.

But we should not be giving Occam a chain saw. 

He has used that chain saw, not just to get rid of epicycles on epicycles or to erase phlogiston from thermodynamics. He will use it to cut us off from our larger family of all life on earth. He will use it to rationalize the belief that — despite animals being like us in every conceivable way that is fundamental — they have no real feelings. He will use the chain saw to rationalize the belief that irrational and addictive greed are just fine and that people who speak differently or dress differently or have different skin color don’t have any feelings that actually matter. 

What do you think?

——————

You know

Math class: Who are you?

Essays on America: Labelism 

The Tree of Life

How the Nightingale Learned to Sing

Life is a Dance

Myths of the Veritas: The Fourth Ring of Empathy

Myths of the Veritas: Stoned Soup

Myths of the Veritas: The Orange Man

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