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A Lifetime of Systems Thinking (thesystemsthinker.com)
228 points by yarapavan on Jan 21, 2019 | hide | past | favorite | 48 comments



> "Schools are upside down. Students should be teaching, and teachers at all levels should learn no matter how much they resist doing so."

i was musing about this the other day... split the day between teaching and learning (probably alternating by hour): teach the grade below you and learn from the grade above you. teachers would mainly guide the teachers and set the agenda. the student teachers can grade papers, with adult teachers spot checking their grading.

> "...the internal market economy..."

some chinese companies, notably haier, used some form of the internal market economy to become multinational behemoths. your group would only be successful if you added enough value to the internal value chain that another group would "buy" your product, with the external customer as the final arbiter in the chain.

> "The best thing that can be done to a problem is to solve it. False. The best thing that can be done to a problem is to dissolve it, to redesign the entity that has it or its environment so as to eliminate the problem."

problem definition implicitly frames a situation and thereby narrows the window of possible solutions. i've learned to look for these kinds of solutions because those kinds of solutions tend to be the most effective. when you want to stop a bad habit, don't focus on the stopping. create a world where the habit is unnecessary.


> i was musing about this the other day... split the day between teaching and learning (probably alternating by hour): teach the grade below you and learn from the grade above you. teachers would mainly guide the teachers and set the agenda. the student teachers can grade papers, with adult teachers spot checking their grading.

As a teacher, I think this is an interesting proposal. It definitely would help a lot, and the ones teaching would get a firmer grasp on the material without a doubt. I wonder if it could be integrated into something like Sal Kahn's model, however. Say, kids watch lectures at home, and then kids in the higher class help them work through problems, with teacher guidance to explain in more depth for curious students and to help work through problems.

There's a few issues I see with this, however, the main one being timing. There's only so many hours in a day, and if kids are going to both learn and teach, we'll have to cut down on something in the high school curriculum. Sadly, I fear this would mostly be electives or humanities classes, two things which are still needed. The other issue would be what to do with final year students. Would they only teach, or would they still need learning too? Ideally, they could get an internship, but who knows how that would really work, especially in rural areas/areas without many job opportunities.


I think the assumption is that the learning will be accelerated so what previously took four weeks might take two and where they might return to a topic the next year and do a refresher, instead they teach.


As a teacher (college/university level) teaching is one the main way I learn new things and consolidate/update my previous learnings. So from my personal, anecdotal experience teaching is a great way to learn and might even accelerates the learning curve, not slows it.


> we'll have to cut down on something in the high school curriculum.

It's a trade-off between breadth and depth.

Teaching increases depth and internalization, but it also can't be done when there's too many subject to cover.

When I was growing up, high school students took 9 subjects on average. In contrast, a high school teacher only teaches 1-4 subjects.


You just split your math time in two parts , between teaching and learning. You don't lose time bect teach time is review and practice time, and because having so many 1:1 tutors means learners learn faster than a teacher splitting time among 10-30 kids. This is how the pre industrial one_room schoolhouses worked.


it would basically split the learning across 2 years instead of 1, so hopefully it wouldn't require additional time. spend half the time each year; test rudimentary knowledge the 1st year, mastery in the 2nd year.

but if necessary, maybe performing arts could be pushed to non-profits to administer outside of school (as is often the case already).

and i'd suspect final year students would help teach each other in electives. maybe get freshmen from college majoring in the subject. in college, teaching assistants are often only a couple years ahead of you anyway.

i was just imagining how one room schoolhouses of yore (like on little house on the prairie) would work. =)


> it would basically split the learning across 2 years instead of 1, so hopefully it wouldn't require additional time. spend half the time each year; test rudimentary knowledge the 1st year, mastery in the 2nd year.

Hmm, that could be interesting, especially if the mastery is tested in the second half of the year. That would allow you to do the concepts you learned in the first half and bring those into the stuff you learned the previous year...But it could also be a huge gap between actually learning the concepts and then putting them to use teaching someone else. Maybe have it alternating years, where, say, freshmen are teaching 8th graders the first half, then being taught the second half. And that class keeps their schedule of first half teaching, second half being taught as they progress, with the year before and after having the opposite one.

> but if necessary, maybe performing arts could be pushed to non-profits to administer outside of school (as is often the case already).

The issue with this is that many would never get exposure to them, then. And people need exposure to it (we need to be well-rounded, basically; STEM people need more humanities and humanities people need more STEM). Plus, with people pushing other extra curriculurs (sports!) that take up a lot of school time, it's hard to see many choosing these.

Like, my hometown has an art guild, but few students do anything with it, sadly. It's quite a neat place. But they do a lot during school, and I'd hate to deprive that chance for those who are interested (and good). For some kids, it might be what keeps them coming to school and encourages them. Who knows? Plus, this would hurt rural areas quite a lot. But, I think the half-year plan mentioned above makes this point moot.

>and i'd suspect final year students would help teach each other in electives. maybe get freshmen from college majoring in the subject. in college, teaching assistants are often only a couple years ahead of you anyway.

That'd be an option...if you lived near a university.


That's how they did work, most of the teaching was senior peer to younger peer


> split the day between teaching and learning (probably alternating by hour)

In peer instruction[1], the lecturer asks a question, students each commit to an answer (eg using clickers, or held-up cards), then turn to discuss the question with peers, and then do another commit. In computer-supported peer instruction, when students turn to discuss the question with peers, an app tells each student which of their neighboring students to talk with, based on the students' recent clicker answers, to maximize productive discussion.

So for the future, perhaps we could do better than dividing teaching from learning by hour or day or year; better than partitioning teachers from learners by grade. Perhaps instead imagine dynamic minute-by-minute formation and dissolution of variously-sized groups for optimized and personalized learning.

AI: "Hmm, student A's puzzlement will soon exceed their frustration target profile, and student B just figured it out and is enthused, and student A-B pairings have a history of going well in this situation... message: 'A,B: I suggest you pair'".

[1] https://en.wikipedia.org/wiki/Peer_instruction


Could you expound on this more generally? I think it could be excellent prior art for pairing student/student and student/teacher.


I'm unclear what you're asking for? The computer-supported peer-instruction phone app example is based on work by Eric Mazur at Harvard (physics; physics education research; peer instruction). The AI example is simply a generic computer-human process hybrid, taking the existing teacher/tutor task of productively managing student grouping and learning, and scaling it with computer-based monitoring and optimization.

Prior art? If your interest is in patents, my fuzzy understanding is Mazur regrettably took a familiar path. Unable to get follow-on research funding on the topic, he created a startup, with Harvard patent(s) (on what exactly I must of course avoid knowing) for table stakes and moat. The startup of course failed, and was acquired by a large dysfunctional education incumbent for the anticompetitive "value" of the patents. Leaving society arguably much worse off than if the original physics education research had never been funded at all.

It's my fear that the conjunction of education with computer-human hybrid processes, and with with AR/VR, given the regulatory capture of patent policy, and plummeting ordinary skill levels, is creating a toxic stew of patents that will profoundly impede innovation in education in the US for many years.



> clairity 4 days ago | parent | on: A Lifetime of Systems Thinking

> "Schools are upside down. Students should be teaching, and teachers at all levels should learn no matter how much they resist doing so." i was musing about this the other day... split the day between teaching and learning (probably alternating by hour): teach the grade below you

Interesting idea but not so easy to do right: my wife when she was young had to teach her (much younger) little brother: the result? She was doing his homework instead of teaching him how to do it: much easier for her of course..


"Witness the difference between the ease with which we learned our first language without having it taught to us" - this is so much b.s. and ignores the fact you usually have at least one or two very dedicated teachers who help you out with language a lot - parents. I really don't like when people pick on education from a distance - such an easy target, but such a hard problem to "solve" in the broadest sense.


Things like https://en.wikipedia.org/wiki/Creole_language and children of immigrants often not learning their parents' language well make me skeptical of the importance you're assigning to parents as teachers.


There's many a motivation for a parent not teaching their native language to their children -- my step-father's parents didn't teach their kids Spanish because they didn't want them to have an accent (and also got beaten as children for speaking Spanish in school as that was the '30s rural New Mexico way).


Don't you think the bigger lesson from that data point is that immersive learning takes a lot more than 3 participants?


While your comment about people picking on education does hold true, I don't think the way the child learns from her parents is similar to what is done at school. Here, the child tries to speak on her own and gets a lots of feedback from her parents that help her get better at it.

If you haven't read any of John Holt's books, they might interest you.


Exactly. I remember reading in an introductory linguistics book (Fromkin's, I believe) that a linguist once conducted an experiment with his child. The kid kept saying "I want other one spoon!" or something similar. The linguist was able to get the kid to say "another spoon" perfectly, but then when he told the kid to say it all the kid went right back to "I want other one spoon". He just hadn't intuited all the rules yet. Basically, L1 acquisition is just that -- acquisition; it's not really learning in the sense we think of it in terms of L2 and other subjects (though, of course, learning the standard at school is an entirely different animal).


I didn't know that website but it seems to have lots of interesting content.

On a related note, Thinking in Systems: A Primer by Donella H. Meadows is one of my favorite books.


To build on this discussion, what are some highlights in that book that you found useful?

I ask because I've read some systems thinking books (e.g. Systemantics) that were difficult to apply in real life. I come from the perspective of someone with a systems/theory builder personality. The only systems thinking book that I found remotely practical was The Fifth Discipline by Peter Senge.

The most useful piece of short writing on systems thinking that I've come across is "How Complex Systems Fail" [1, 2], which talks about designing systems for resiliency, and not for rigid notions of reliability.

[1] "How Complex Systems Fail" https://web.mit.edu/2.75/resources/random/How%20Complex%20Sy...

[2] Its accompanying O'Reilly conference talk https://www.youtube.com/watch?v=2S0k12uZR14


I read both Systemantics and Thinking in Systems.

I agree that both of them were not very rigorous, e.g. in terms of making predictions or presenting falsifiable claims. But I enjoyed parts of both.

From Thinking in Systems, I got 2 main things out of it:

- Many systems can be modelled in terms of resources and flows.

- If you want to affect a system, find the leverage points.

But both claims could have been justified more. It feels like the author states them as a given.

Specifically, she doesn't talk much about modelling error. OK, so I came up with a set of resources and flows to model a system. How do I know if it's good? Will it work in some cases and wildly mispredict in others?

I think they just did computer simulations? How did you check it against the real world? I think that was entirely missing from the book. I'd be happy for a correction.

Overall, the book felt like it was incomplete (which is not surprising, given the back story of its publication).

I think I read this book because Bill Gates recommended it. I can understand why he would have liked it. I'm not sure there is much that's actionable for a programmer or software designer, though.

I'd be interested in other takes on it too. Did I miss something? I also wonder why it's so highly thought of. I think it does have a unique point of view, and raises interesting questions, but it also made me wonder if that view is true! It's perhaps too vague to be true or false.

----

I enjoyed Systemantics, to a point. The negative view of systems tends to be the more accurate one in my experience ;-)


If you found Peter Senge's book practical you would probably like Thinking in Systems. It takes a few systems archetypes and explores them in reasonable detail and has charts of simulations. I browse through my copy every once in a while when thinking about a problem, and it often sheds some light on the problem.

Before reading this book, I did not think much about delays but now I try to identify them as soon as possible.


http://donellameadows.org/archives/leverage-points-places-to...

(On mobile) If I grabbed the right link that’s chapter 6 (maybe edited a bit?) of Thinking in Systems. If it interests you you’ll probably like the rest of the book.


I really enjoyed "Business Dynamics: Thinking and Modelling for a Complex World" by John Sterman. It's an older book, but it answers all of the questions that you ask. The book starts out by giving a high level overview of how systems modelling (and iteration on these models) occurs in practice, along with case studies and models that represent those case studies. The book talks about stocks and flows and real life examples on how stocks and flows work. While I wouldn't say this book is as rigorous as an engineering math text, it has a section on nonlinear dynamical systems and the math that these models represent in some sparse detail, so you can try to apply rigor to the models presented.


I know "me too" kind of comments are frowned upon in HN, but to anyone thinking "Should I read that book?" I want to add another "it's one of my favourite books", is a book I recommend to almost anyone.


One of the ways to add a substantive "me, too" or "+1" is to provide additional insight and reasoning as to why (and omit the "me, too" or "+1").


It's actually _hard_ to explain why, I have tried several times (IRL) and it's really hard to get to the point. Funnily enough, soon after reading it I happened to be at an unconference where there was a Thinking in Systems session. And the speaker likewise tried his best to get us (I was in the audience, and tried to give a hand as well when I saw issues) to get the point, but didn't succeed either. I suspect I would need to read it 4 or 5 times before I can get to that point, but it's a book I'm actually looking forward to re-reading soon.

There's a way to the analysis of a system or a model that you can get on an intuitive level (or even, on a formal level, given where most of the HN readership works or has interests), but the exposition in TiS goes further, and tries to make you think not only on all the sources acting on a system, but how you could get to build or adapt a system for a specific objective.

See? What I wrote above makes just marginal sense. It's not a complicated book, it's an enjoyable read but the concepts inside go deeper than what I could get into something that makes much sense.


Cheers! I hope you didn't take my original comment as a criticism, which wasn't at all it's intent. I meant it as a prompt or prod, and at a general audience, rather than you specifically.


No, I didn't at all, it encouraged me to figure out something to prod people to read the book, which I was a tad too lazy in my previous comment :) Appreciated!


Could you describe what makes this book your favourite? I read it this year because it was recommended in another thread. I didn't find anything interesting in it but maybe I missed something obvious.


My take:

If you already have a decent foundation in systems dynamics and thinking, the most valuable part of the book is Chapter 6 (Leverage Points) which is about how to change systems (not control them, but actually drive changes to their structure).

The value of the book, beyond that, is that it's a good introduction to systems dynamics and thinking for people who aren't systems thinkers yet (or nascent systems thinkers who don't have the vocabulary yet). Trying to explain systems thinking to others is hard, surprisingly so. This book serves either as something to give them to read (for those who are motivated to better themselves, surprisingly few in my office) or provides a good set of examples when trying to discuss system dynamics and thinking with those who don't want to (either ever or yet) read something themselves.

The examples aren't esoteric or abstract, they're things that most people can relate to. Which is very helpful. A high level system dynamics book might try and talk too much about the math or structure but using labels like A and B, rather than Oil Reserve or Car Inventory. Leaving out the math (or enough of it) also makes this approachable even to the most math-phobic (and the equations behind the models are all available in an appendix so they're not missing, just shifted to let people focus on the structure and nature rather than formulas and numbers).


I added a comment below, but I find it very hard to describe. Some of the points in the book, and the way of analysing/deconstructing systems was different to how I approach problems (I'm a "trained mathematician"), and that was enough to make me see the world in a very slightly different shade. That's enough for me to make it a great book.


I was wondering about the book. It sounded promising, either way. Thank you for the recommendation.

Any other resource on the topic of system design that you, or anyone reading, could recommend?


This article was published around 1999. Russel Ackoff mentions he is 80 in the article and he died in 2009 at the age of 90. The Systems Thinker started in the 1980s and discontinued publication in 2013. https://thesystemsthinker.com/about/


> The perceived need to learn something new is inversely proportional to the rank of a manager. Those at the top feel obliged to pretend to omniscience, and therefore refuse to learn anything new even if the cost of doing so is success.

Wonder what happens when a manager spends his career perched atop a giant tower with his name on it.


That's a guy who'll have one of the best brains.


A stable genius in his own words.


I find the hierarchy of “mental content” to be kind of confusing.

He posits “the hierarchy of mental content, which, in order of increasing value, are: data, information, knowledge, understanding, and wisdom.”

Coming from a Shannon-centric view of the world - can someone explain the data/information distinction for me?


I believe the distinction is: information is encoded in data (or, data holds information). E.g. a compressed data file stores the same information as it's uncompressed form, but the information is not necessarily usable without further processing.


From a practical engineering viewpoint more than information theoretical: The bytes of an image is data. That the image contains a cat is information. The pixels of the image is data. That the predominant color of the image is green is information.

The distinction is usually dependent on a particular viewpoint. Some sort of interpretation is usually applied to gain information from data. Information are the things relevant and applicable to the task at hand, data (on its own) is not. The data not considered information may be considered noise.


Information is data with a meaning.

Like a series of bits is just data, but by decoding and interpretating them they can become useable information, a number or a string.


> Information is data with a meaning.

Of course, we can turns this on its head:

https://en.wikipedia.org/wiki/Template:Marshall_McLuhan

Or rather, like a certain German philosopher did with another certain German philosopher, turn it from standing on its head to standing on its feet.


The listserver at the bottom of the article (k-12sd@sysdyn.mit.edu) doesn't seem to work. Does anyone have the correct address, or is it an MIT only thing?


This is a great example of Spiral Dynamics Stage Yellow.

https://www.youtube.com/watch?v=w0d1TsOcbQs


Any other references to what you're referring other than a very long video? I don't know this Actualized.org group at all or the person talking, and clicking on the forum lead to even more confusion.


Yes, sorry, that was a pretty lazy post :) The most exciting thing about Stage Yellow is that it's the first stage of Tier 2, which means beings at this stage can see that there are levels before it.

More details[1]

What is the essence of the Yellow value system?

Core Values: Systemic, integral, emergent

Paradigm: Synergy “ I am learning.”

World View: The world is a complex, self-organizing, natural system that requires integral solutions.

Life Motto: “I manifest myself, but not at the cost of others.”

Life Theme: Effective action to support the whole.

Life Philosophy:

I am searching for freedom and embrace (integral) space and complexity.

What is the origin of the Yellow value system?

Period: 50 years ago

Geographical Location: The Western World

Founders: Systems thinking and holists such as, for example, Einstein, Bohm, Wilber and Graves.

In reaction to: At a given point, the Green value system may cause frustration because complex problems that humanity is confronted with cannot solely be solved by consensus and a people-focused way of thinking and living. Moreover, the Green group process takes a lot of time and energy, which can be used in more useful ways. The need to take oneself and the world to the next level causes people to break out of the group and to offer their unique contribution to the world in a complete independent and free way. This is done by combining different existing ideas, theories and models and distilling new connections from them. The world is now seen as an integral whole, in which the value of all value systems is acknowledged. However, some values and manifestations are more suitable and appropriate than others. There’s a freedom from fear, from nature, from the boss, and from others, as one simply does what one needs to do. There’s a new consciousness emerging, which sees life just as life, and that life is an integral part of a big and vast universe in which humans just play a small role.

How do you recognize the presence of Yellow?

Yellow is recognized by the large amount of ideas, connections and complexity that it introduces. Yellow’s starting point is an overarching vision about a system (on an individual, group, organizational, national, planetary and/or cosmic level) and then determines what the system needs to grow and blossom. In order to do so, Yellow will pass by personal and purely human-orientated interests. Yellow is also characterized by an enormous drive and focus (Yellow knows exactly in which direction it wants to move). Yellow has the ability to look far into the future and, at the same time, keep things close at home and integrate the past. Yellow often has visionary and revolutionary ideas about the future.

How do you recognize the absence of Yellow?

There is a lack of focus from a broader perspective. There is no overview or vision about the future. The skill to look at a problem from different angles is lacking. People are “afraid” of chaos and turbulence. Energy does not “flow” and structures and processes exist primarily to keep things as they are. There is not a lot of vision and the issues of the day take up all the energy.

What are the general characteristics of the Yellow value system?

* Overarching view of living systems * View life as a chaotic organism in which change is a constant and in which insecurity is an acceptable way of living * Integrative structures and evolutionary streams * The need to develop natural living environments that support human evolution in a step-by-step and phased way * Integration of head, heart and gut feeling * Focused on both process and content * Moves freely in different value systems * Change is a constant: it’s emergent and about long-term thinking * “Acupunctural interventions”; small actions with a big impact * Personal freedom without harming others or nature * Thinks and acts from an inner-directed core

Sayings

* We cannot solve our problems with the same thinking we used when we created them * Imagination is more important than knowledge * There are no facts, only interpretations * Wisdom is knowing what you do not know * Good wine needs no bush * Do right and fear no one * Turn your hand to anything * The darkest hour is before the dawn * If someone strikes gold, everyone will know

[1] http://spiraldynamicsintegral.nl/en/yellow/




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