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Articles I Like: The Law of Unintended Consequences: Shakespeare, Cobra Breeding, and a Tower in Pisa

The PolyBlog
March 4 2018

This is another article from Farnam Street, and I confess up until a few days ago, I’d never heard of them. Run by a guy named Shane Parrish, he’s based here in Ottawa. Some really fascinating stuff on there, with decent curation and a lot of links. This article highlights that:

Not all of our grand schemes turn out like we planned. In fact, sometimes things go horribly awry. In this article, we tackle unintended consequences and how to minimize them in our own decision making.

The Law of Unintended Consequences: Shakespeare, Cobra Breeding, and a Tower in Pisa | Farnam Street

You might think that the article is going to be about train wreck ideas or the butterfly effect causing tsunamis. Not really. In fact, I would say it is more about linear thinking from good intentions to good outcomes, without taking into account side effects. Some unknown, some unforeseeable, some just missed because they stopped thinking early. The article has a great quote from a book by William A. Sherden:

Sometimes unintended consequences are catastrophic, sometimes beneficial. Occasionally their impacts are imperceptible, at other times colossal. Large events frequently have a number of unintended consequences, but even small events can trigger them. There are numerous instances of purposeful deeds completely backfiring, causing the exact opposite of what was intended.

The conclusion is simple — systems thinking or second-order thinking is needed, but the article doesn’t pay much attention to the fact that often the culprit lies in defining the system too narrowly, when in fact the small system is part of a larger system, and it is the larger system that often has the other effects (like the examples of releasing a predator into a land to control one local population, not realizing that the predator will spread into the larger system). What I do like is the idea that sometimes the failure is in over-estimating the size of the system, assuming there are too many variables, and thus not trying at all to figure out ancillary effects.

Yet, if we know they exist (or in hindsight think we should have), the article explains some of the most common reasons:

Sociologist Robert K. Merton has identified five potential causes of consequences we failed to see:

Our ignorance of the precise manner in which systems work.

Analytical errors or a failure to use Bayesian thinking (not updating our beliefs in light of new information).

Focusing on short-term gain while forgetting long-term consequences.

The requirement for or prohibition of certain actions, despite the potential long-term results.

The creation of self-defeating prophecies (for example, due to worry about inflation, a central bank announces that it will take drastic action, thereby accidentally causing crippling deflation amidst the panic).

However, the article goes even further, adding in over-reliance on models and predictions (mistaking the map for the territory), survivorship bias, the compounding effect of consequences, denial, failure to account for base rates, curiosity, or the tendency to want to do something.

Of course, the article leads to the article I shared earlier (Articles I Like: Mental Models – The Best Way to Make Intelligent Decisions (113 Models Explained)), and the use of other mental models to help prevent a failure to consider other effects.

Cool stuff, love the site.

Posted in Goals | Tagged analysis, consequences, curation, ideas, learning | Leave a reply

Articles I Like: Mental Models – The Best Way to Make Intelligent Decisions (113 Models Explained)

The PolyBlog
March 3 2018

If you’re interested in goals and theory the way I am, then an article about “cross-training for the mind” and different ways of thinking in various disciplines is like catnip. When I saw the article, and that it was going to work through 113 different mental models, I couldn’t NOT click on that bait. In fact, their goal in the article is based on the following:

The overarching goal is to build a powerful “tree” of the mind with strong and deep roots, a massive trunk, and lots of sturdy branches. We use this tree to hang the “leaves” of experience we acquire, directly and vicariously, throughout our lifetimes: the scenarios, decisions, problems, and solutions arising in any human life.

Mental Models: The Best Way to Make Intelligent Decisions (113 Models Explained)

The more mental models you have, the more roots and branches you have to build on. What types of models? How about:

General Thinking Concepts (11)

  1. Inversion
  2. Falsification / Confirmation Bias
  3. Circle of Competence
  4. The Principle of Parsimony (Occam’s Razor)
  5. Hanlon’s Razor
  6. Second-Order Thinking
  7. The Map Is Not the Territory
  8. Thought Experiments
  9. Mr. Market
  10. Probabilistic Thinking (See also: Numeracy/Bayesian Updating)
  11. Default Status

Numeracy (14)

  1. Permutations and Combinations
  2. Algebraic Equivalence
  3. Randomness
  4. Stochastic Processes (Poisson, Markov, Random Walk)
  5. Compounding
  6. Multiplying by Zero
  7. Churn
  8. Law of Large Numbers
  9. Bell Curve/Normal Distribution
  10. Power Laws
  11. Fat-Tailed Processes (Extremistan)
  12. Bayesian Updating
  13. Regression to the Mean
  14. Order of Magnitude

Systems (22)

  1. Scale
  2. Law of Diminishing Returns
  3. Pareto Principle
  4. Feedback Loops (and Homeostasis)
  5. Chaos Dynamics (Sensitivity to Initial Conditions)
  6. Preferential Attachment (Cumulative Advantage)
  7. Emergence
  8. Irreducibility
  9. Tragedy of the Commons
  10. Gresham’s Law
  11. Algorithms
  12. Fragility – Robustness – Antifragility
  13. Backup Systems/Redundancy
  14. Margin of Safety
  15. Criticality
  16. Network Effects
  17. Black Swan
  18. Via Negativa – Omission/Removal/Avoidance of Harm
  19. The Lindy Effect
  20. Renormalization Group
  21. Spring-loading
  22. Complex Adaptive Systems

Physical World (9)

  1. Laws of Thermodynamics
  2. Reciprocity
  3. Velocity
  4. Relativity
  5. Activation Energy
  6. Catalysts
  7. Leverage
  8. Inertia
  9. Alloying

The Biological World (15)

  1. Incentives
  2. Cooperation (Including Symbiosis)
  3. Tendency to Minimize Energy Output (Mental & Physical)
  4. Adaptation
  5. Evolution by Natural Selection
  6. The Red Queen Effect (Co-evolutionary Arms Race)
  7. Replication
  8. Hierarchical and Other Organizing Instincts
  9. Self-Preservation Instincts
  10. Simple Physiological Reward-Seeking
  11. Exaptation
  12. Extinction
  13. Ecosystems
  14. Niches
  15. Dunbar’s Number

Human Nature & Judgment (23)

  1. Trust
  2. Bias from Incentives
  3. Pavlovian Mere Association
  4. Tendency to Feel Envy & Jealousy
  5. Tendency to Distort Due to Liking/Loving or Disliking/Hating
  6. Denial 
  7. Availability Heuristic
  8. Representativeness Heuristic
    1. Failure to Account for Base Rates
    2. Tendency to Stereotype 
    3. Failure to See False Conjunctions
  9. Social Proof (Safety in Numbers)
  10. Narrative Instinct
  11. Curiosity Instinct
  12. Language Instinct
  13. First-Conclusion Bias
  14. Tendency to Overgeneralize from Small Samples
  15. Relative Satisfaction/Misery Tendencies
  16. Commitment & Consistency Bias
  17. Hindsight Bias
  18. Sensitivity to Fairness
  19. Tendency to Overestimate Consistency of Behavior (Fundamental Attribution Error)
  20. Influence of Authority
  21. Influence of Stress (Including Breaking Points)
  22. Survivorship Bias
  23. Tendency to Want to Do Something (Fight/Flight, Intervention, Demonstration of Value, etc.)

Microeconomics & Strategy (14)

  1. Opportunity Costs
  2. Creative Destruction
  3. Comparative Advantage
  4. Specialization (Pin Factory)
  5. Seizing the Middle
  6. Trademarks, Patents, and Copyrights
  7. Double-Entry Bookkeeping
  8. Utility (Marginal, Diminishing, Increasing)
  9. Bottlenecks
  10. Prisoner’s Dilemma
  11. Bribery
  12. Arbitrage
  13. Supply and Demand
  14. Scarcity

Military & War (5)

  1. Seeing the Front
  2. Asymmetric Warfare
  3. Two-Front War
  4. Counterinsurgency
  5. Mutually Assured Destruction

The article has lots of links to the models to explain them. It’s like a treasure-trove of mental improvement rabbit-holes. And perhaps the grounds for 113 new blog posts by me as I work through each of them! Mind-blowing.

Posted in Goals | Tagged analysis, goals, ideas, learning, mental models, motivation, thinking | Leave a reply

Articles I Like: Dread accompanies me through life

The PolyBlog
February 24 2018

Firefox has this little feature when you pull up its built-in home page with a search engine box — just below the box is your recently viewed webpages, nothing unusual there, but between the search and history are three articles that Firefox thinks might be of interest to you. I have no idea if they are actually using an algorithm of the web history and past searches, or just curating interesting stories, but I often find one or more of the stories worthy of clicking. I figured initially that it was just clickbait, but most of the time, when I’ve actually clicked, the article has been worth the click.

Take for instance one from today. The article is written by a philosophy professor and revolves around anxiety. It starts with some powerful events — the death of his parents — that are not powerful in terms of trauma but in their normalcy. He then talks about how it impacted his sense of safety, life, religion even. His view of the universe. And then talks about his journey to understand anxiety from a personal, psychological, even existential perspective, informed by the works of philosophers and psychologists.

While it doesn’t end as strongly as it starts, and it veers into philosophy and psychology in ways that will bore a lot of people, it is a very compelling cerebral contemplation of anxiety. Here are some of my favourite highlights:

I had imagined that with my father’s death, the world had exacted its pound of flesh, a tax so terrible it would be levied only once. But in 14 years, death came calling again. One God – a child’s God, mythical and compassionate – died with my father; another – an adult’s God, a God of reasonableness, the one that ensured this world would not do excessively badly by you – died with my mother.

[…]

Prompted by the production of new traumas and losses in our lives, anxieties can interact and recombine like viruses to form newer ‘strains’ that course through us, surprising us with their ferocity and visceral feel. We should not expect our anxieties to remain the same as we age; by paying close attention to their nature, their ‘look and feel’, we can track changes in ourselves and our ‘table of values’.

I learned that I respond with anxiety to this world’s offerings. I’m a better person for this knowledge of myself.[…]My trajectory through the world is thus informed, at every step, by the anxieties that afflict me.

[…]

Our anxieties rush into the mental spaces we leave open, reminding us of all that can go terribly wrong.

Dread accompanies me through life but it is not without consolation | Aeon Essays
Posted in Learning and Ideas | Tagged anxiety, ideas, learning, philosophy, religion, self, spiritualism

A horror-filled business case…

The PolyBlog
August 25 2016

Back in January of this year, Joe Castaldo published an article through Canadian Business magazine. It has a relatively innocuous title — “The Last Days of Target” — but the sub-title gives you a hint of the content…”The untold tale of Target Canada’s difficult birth, tough life and brutal death”. I didn’t see the article at the time, and I’m not even sure I would have clicked if I had. After all, wasn’t the demise of Target relatively straight-forward?

It seemed so to the casual observer. Towers, K-mart, Woolco, Zellers…all of them went down-market, bottomed out, and couldn’t make it work. Enter Target to try and tread the same path with a hopefully different ending. One more akin to Walmart. I’d been curious about Target when it opened, in the same way that I am curious when I see a coffee shop open and close in a location, only to be replaced a few months later by, yes, you guessed it, another coffee shop. Particularly when it isn’t part of a chain that will sustain it through the lean start-up months…somebody else just tried the same thing in the same spot and went bust. Yet here is someone else dreaming their dream, and repeating the same process, options, and outcomes.

When I visited Target, I saw slightly better clothing options than the previous Zellers, prices were good, nothing that stood out in electronics, toys, etc. that said: “buy me”. And, while I did buy a few things over time, I did notice a lot of empty shelves at times but far more importantly? Empty stores. No one was shopping there. You could shoot a cannon through the store, just as you could have through most Zellers outlets, particularly the one in the same location previously. Some people said Target would make money off the groceries and household consumables, but that’s not really a draw for me. I like shopping at PC stores or other various grocers. And Shoppers Drug Mart serves me just fine. I wasn’t their prime demographic, true, but I’m not against saving money if the place is reliable.

Yet reading Castaldo’s article is like reading a mix between a Harvard Business Case and a Stephen King horror novel. The errors and screw-ups and just complete incompetent management behind the scenes are mind-boggling. Back when I was in university, we did a “practical” strategic analysis of a local recycling company. We were all young business students, wanting to help them plan their strategic future, we were going to help them figure it out, bring our academic excellence to bear. After working with them over a few weeks, it became painfully obvious — their biggest threat was their own operation. They needed to make sure they could get the big doors open at the factory reliably EVERY morning so they get the trucks on the road for pickups, long before they could start thinking, “What’s next?”. And that was our recommendation…forget the future, you got to make sure the doors are open. After reading the article, I’m left with the same reaction — forget all their business acumen, how did they even get the doors open on the first store?

The article is awesome, but here are some of the highlights:

  • they couldn’t figure out basic distribution from warehouse to the retail stores, and to be able to restock … basic principles stores have been doing for years yet they ended up with extensive empty shelves in stores…it even took them 2 years to figure out that dates for delivery from vendors were being interpreted as shipping dates instead of when they should arrive…2 YEARS????;
  • choosing SAP to integrate all their systems with a two-year window and not paying enough attention to data integrity (see this excerpt: A team assigned to investigate the problem discovered an astounding number of errors. Product dimensions would be in inches, not centimetres or entered in the wrong order: width by height by length, instead of, say, length by width by height. Sometimes the wrong currency was used. Item descriptions were vague. Important information was missing. There were myriad typos. “You name it, it was wrong,” says a former employee. “It was a disaster.”)…end result? Only 30% accuracy;
  • registers spit out the wrong change or charged the wrong prices or oftentimes confirmed credit card payments that hadn’t actually gone through;
  • massively ambitious launch schedules; and,
  • insanely optimistic sales projections, particularly when they decided not to try and compete on groceries to get people into the store given the level of existing competition on groceries in Canada.

The standard explanations for the scope of the disaster are there…nobody wanted to be the bearer of bad tidings, they tried to make something work with new untested techno systems rather than adjusting working solutions, leaders were not experienced battle-tested problem solvers, over-extension happened before solidifying the basics, a lack of training…the usual suspects. All knowable though.

However, two examples really stood out for me. First, their internal business analysts switched off the “warning” indicators in their software for stock replenishment so that they wouldn’t look bad (not unlike removing the battery in your fire alarm because you don’t like the noise instead of seeing why smoke is filling your house). Second, one week they released their new flyer and every item on the first page was out of stock before the stores even opened that week.

While they fixed a lot of the issues, it was too little too late. Kind of like the classic cliché, they didn’t get a second chance to make a good first impression.

As an aside I love the reference to their decision to use SAP though…that decoding it was like peeling an onion, there were many layers and it made you want to cry.

Hard to believe that a company the size of Target could get SO many things wrong, and some of them pretty basic as well as known pitfalls to avoid.

Posted in Learning and Ideas | Tagged business, error, horror, ideas, Target | Leave a reply

TED talks about Education by Ken Robinson

The PolyBlog
March 30 2011

The videos below are two of the TED talks by Ken Robinson (2006 and 2010), who focuses on education systems. The first is about creativity, and how it is as important as literacy, but whereas we learn literacy, we tend to “unlearn” creativity.

The second one looks at how education systems tend to be like manufacturing enterprises, assembly line entities that go linearly from kindergarten to higher education. His talk argues for a different way of looking at it, more like a fine-dining restaurant than McEducation. The quote from Lincoln alone is probably worth the price of watching. Enjoy…

Posted in Learning and Ideas | Tagged creativity, education, government, ideas, system | Leave a reply

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