Prompt

Thanks for joining me for another edition of the SerenityThroughSweat blog.

AI has been in the news quite a bit recently with the continuing advancement of ChatGPT and the drama surrounding its upper management.

I came across some of the grassroots origin of AI, in the form of computational linguistics, while continuing research on my communications project.

I am far from a subject matter expert on AI, language, or communication, but here is my two cents nonetheless. And, you should take it, we are due for a recession anyway.

Computational linguistics really began as a field before it ever had a chance. By that I mean the right tools for the job hadn’t even been invented yet.

ChatGPT and other Large Language Models, LLM’s, require enormous datasets and computing power. Before the internet, and the personal computer, this meant manual entry and analysis of all those words.

The LLMs function less by looking at the “rules of language”, and more by analyzing the likelihood of what the answer should be based on existing information.

From the analysis on computational linguistics, “Members of the IBM research team flaunted their ignorance of linguistics as if to taunt the other researchers. Fred Jelinek is famously quoted as saying, ‘Every time I fire a linguist from our project, the performance of our system gets better’

I think the easiest way to think about these LLM’s is as probability engines. This work was pioneered by Claude Shannon (whose work I have covered in quite a few other posts)

The LLM absorbs and analyzes a huge amount of data. An unimaginable amount of data. Think about reading the entire contents of the internet. Every tweet, every news article, every blog. Then statistically analyzing all those words to look for patterns.

From a previous post covering the work of Shannon, “As Shannon showed, this model also describes the behavior of messages and languages. Whenever we communicate, rules everywhere restrict our freedom to choose the next letter and the next pineapple*” “Because you’re completely aware of those rules, you’ve already recognized that ‘pineapple’ is a transmission error. Given the way the paragraph and the sentence were developing, practically the only word possible in that location was ‘word’ “

When Shannon completed his mathematical theory of communication, the internet wasn’t even a pipe dream, and he did a tremendous amount of work developing the earliest computers.

His theories and ideas, though, would pave the way for how these LLMs operate. They look for patterns by searching and analyzing all of the current written work on a topic. They then recombine words in a statistically viable way to answer questions

You can debate whether or not this constitutes, learning, or understanding, or consciousness, but that’s not really the point. It is here now, in this current form, and it can be an extremely useful tool. It can also spit out unintelligible garbage. So how do you engage with LLMs in a way that is useful and productive?

I think the answer has already been covered in the AI action warning movie Irobot. “My responses are limited, you must ask the right questions”

In this light, the rise of ChatGPT and other LLMs has led to the creation of a new host of jobs, one of which is the prompt engineer.

I first heard about the prompt engineer from episode 556 of the freakonomics podcast.

Prompt engineers discern what it is that their customer wants, and then find a way to effectively communicate that to the LLM.

Asking the right questions, adding the right context and constraints, make all the difference. If you think about it, the same concept applies to communicating with our kids. Or with other adults who may be operating outside their area of expertise.

If you want your five year old to do something, you need to set up some guideraills, and provide clear expectations. If you want a coworker to complete a new task, you need to provide the context and desired outcome, in order to get the finished product you want.

LLMs function much like the very intelligent five year old. You can be amazed what they are able to produce if given the right prompt.

Sometimes, it is hard to know what exactly we want. It is even harder to find the right combination of words to effectively transmit that want to someone else. Asking the right questions, setting the right context and guardrails, can help us in the endeavor. Finding the right prompt, might just lead to some serenity.

Thanks for joining me, stay safe and stay sweaty my friends.

A team

Thanks for joining me for another edition of the SerenityThroughSweat blog.

This week is a little different. It is more of a writing exercise than an informative post.

While spending a lot of time in the car with the little ones, I had to switch up my Pandora radio stations a little bit.

At 5 and 3, El Duderino and Speedy will soon be ready for the gospel of Wu Tang, and the back country twang and blues of Tyler Childers. But, for now, those are lessons best saved for another day.

So, as I found some more age appropriate jams that were still in my wheelhouse I stumbled across this song from Ed Sheeran.

Here is a link to the YouTube video, as it is worth a listen before you continue on with the rest of the post.

I really love the way Sheeran communicates his story with incomplete sentences. Two word snippets that paint an incredibly vivid picture. All done in a rhythmic and rhyming prose that suits his strumming and falsetto.

The words and the melody make you feel something.  That is incredibly powerful, and only compounded by the fact that it is done with such an economy of words.

It seemed like a fun idea. Can you distill your feelings and a story into small two word snippets? Make them fit into Ed’s style of prosidy? I thought I would give it a try.

Below are two verses of my A-team rendition. One verse about flying and one about triathlon.

Hotels, new place, dont forget a brave face, try to sleep, and re trace.

Find food, work out, kids at home to think about, rain storms, self doubt.

And they say, he’s a little bit crazy. Stuck in his daydream, been this way since eighteen, but lately. His patience, is slowly sinking, wasting, crumbling like pastries, and they scream, the best things in life come free to us.

Cause we’re just under the management, and go mad just to pay the rent. We don’t wanna be away from home tonight. But we love the way that we pay the bills, and can’t easily transfer our skills. It’s a tightrope walk each night, for all those that fly.

Legs burn, dry throat, another lap to stay afloat, wheels turn, bike home

Run some, feet sore, training can feel like a chore, calm mind, worth more.

And they say he’s a little bit crazy, stuck in his daydream, been this way since eighteen, but lately, his patience is slowly sinking, wasting, crumbling like pastries, and they scream, the best things in life come free to us.

Cause we’re just under the training plan, no matter how much we already ran, and we just want to rest tonight. And in the morning we ride to another jam, transport to another land. Mental clarity is worth the price, for a few more miles tonight.

I had a lot of fun with this post.  Trying to find the words and the rhyming pattern for complex thoughts was an interesting exercise. Parsing them down into two word snippets forces you to assign value to your thoughts.

What is most important to you? How do you convey that to the reader in two word snippets? Does the whole say more than the sum of the parts?

Economy and value are often at odds with each other.   If you are forced to truncate your ideas,  the quality of the message can suffer.  But,  when it doesn’t,  it feels like that much more significant of an accomplishment in communication.

I think that is the true beauty behind A team.  I think there is a lot to be gained from distilling our thoughts down to their  most elemental levels.

I hope you enjoyed my own rendition. Thanks for joining me, stay safe and stay sweaty my friends.

Frequency

Thanks for joining me for another edition of the SerenityThroughSweat blog. Last week I mentioned that we would be talking about the Baader-Meinhoff phenomenon also known as the frequency illusion.

I first heard about the Baader-Meinhoff phenomenon while listening to the freakonomics podcast. They had put on a three part series on the history and economics of whaling. Now they were noticing whaling mentioned seemingly everywhere.

Yes, I listened to a three part series on whaling. Yes, it was quite interesting. Yes, you should read or re-read Moby Dick. Yes, you should find more ways to work “Thar she blows” into everyday conversation.

Now that we got that out of the way.

The Baader-Meinhoff phenomenon, also known as the frequency illusion is a type of cognitive bias.

When you learn a new word, important piece of information, or focus on a new hobby, you start to notice it more often.

You may even notice yourself noticing it more often. The question naturally arises, was this (word/thing/hobby) always mentioned this much, and I never noticed it. Or, am I aware of it now because it is gaining in popularity and being mentioned more often.

The phenomenon works through mechanisms of selective attention and confirmation bias.

Our attention is a valuable and finite resource. We have built in hardware that gives us some indication of what is important, so that we can focus that limited resource. (Not to say that those mechanisms can’t be hijacked)

Novel information tends to become a focal point for our attention. Especially if that novel information resolves a significant amount of uncertainty. (See my post on uncertainty here)

As the new focal point of our attention, we are more likely to notice the knew information, than we would have otherwise been before. Our selective attention is now trained and better able to detect it.

Confirmation bias is a form of cognitive bias whereby we actively seek out information that matches our preconceived ideas.

If you think pickleball is the coolest thing since sliced bread, you will find articles, people, and various other sources of information that will confirm that.

Neither of these mechanisms, or the Baader-Meinhoff phenomenon itself is particularly harmful. It is just a nice thing to be aware of.

Where it can get you into trouble, is not recognizing it for what it is, and making subsequent decisions based on perceived popularity.

Investing in a meme stock that you just heard about and are now seeing everywhere. Self diagnosing with some rare disease or syndrome you just learned about. Following a new fad diet that just popped up.

These are all examples of things we may do based on their perceived popularity that can be aided by the Baader-Meinhoff phenomenon.

In researching the phenomenon, I found it’s backstory interesting and worthy of sharing.

I assumed that the Baader-Meinhoff phenomenon was named after a pair of scientists or researchers who either discovered or inspired the discovery.

There is no shortage of this naming convention in the sciences. The Pythagorean theorem, Bernoulli’s principle, Newtownian physics, Chomskyian grammer.

The Baader-Meinhoff phenomenon, however, was a term coined by Terry Mullen in a letter to the St. Paul Pioneer Press in 1994.

Terry describes the phenomenon of having printed news (in the days before internet and algorithms) reflect topics he was discussing with friends, regardless of their perceived social relevance. In this case, the Baader Meinhoff gang from west germany

From dictionary.com, “A group of left-wing West German terrorists, active in the 1970s, who were dedicated to the violent overthrow of capitalist society: Also known as: Red Army Faction”

Terry had been talking to his friend about the group in the early 90’s, (well past the peak of their activity or reporting on it) and was surprised when his friend directed him to a pri Ted news article about the group the next day.

He noticed the phenomenon continuing to pop up and coined the term using the terrorist group as the name.

There is debate as to whether or not this phenomenon has increased in its frequency in modern times. This could be due to the higher volume of information we consume. Same percentage of a much larger pie. Or could be artificiially increased by social media, data mining, and algorithms. A much larger piece or an also much larger pie.

Either way, I thought it was an interesting backstory, with actionable information. If you are aware of and seek out things that are happy, productive, and helpful, the Baader-Meinhoff phenomenon says you should continue to see more of the same.

Thanks for joining me, stay safe and stay sweaty my friends.

Uncertainty

Thanks for joining me for another edition of the SerenityThroughSweat blog. This week, I want to revisit one of the main language characters we visited a few months back, Claude Shannon.

It’s somewhat odd calling Shannon a language character.  I was first introduced to his world reading about lifespan and longevity.  His work was used as an analogy to demonstrate a point, even though he did do some work in genetics.

Shannon was a mathematician, an engineer, a teacher, and a tinkerer. He is considered the founder of the modern technology age.  He did work in World War II on code breaking, and on communication, but he was not a language person in the way we typically think about language.

Shannon was more concerned with the idea of transmitting and receiving messages, more so than actually constructing them.  (As language folks tend to obsess over).

Shannon’s breakthrough work was the mathematical theory of communication, which broke down sending information digitally.  I’m not a mathematician. Most of the original work (which I purchased)  is gibberish to me. But, I can understand the concept, and it is profound in its breakdown of communication to an elemental level.

I talked about one of the aspects of his world in a post from last November (Noise). But this week I wanted to talk about uncertainty.

Shannon starts with the idea of flipping a coin.  The outcome is either head or tails. This communicates to us a binary choice. The answer to the question, what happened in the coin flip, can be be expressed as a binary digit or ‘bit, one of two options.(yes the bit you are familiar with if you’ve used any computer technology in the last 40 years is  Shannon’s idea from the 60’s)

Shannon quickly noted though, that the coin flip is perfectly random, unless the coin is weighted.  In which case one outcome is  more likely than another.

He then went on to show (all of this mathematically of course) that most of our communication is very heavily weighted.  Because of our rules of grammer, syntax, phonology, and morphology, the next letter and the next word is highly dependent on the one that precedes it.

This was a highly useful realization and skill when Shannon was working in cryptography as a code breaker, but I think it means a lot to us as everyday communicators.

“for the vast bulk of messages, in fact, symbols do not behave like fair coins. The symbol that is sent now depends, in important and predictable ways, on the symbol that was just sent: one symbol has pull in the next.”

“As Shannon showed, this model also describes the behavior of messages and languages. Whenever we communicate, rules everywhere restrict our freedom to choose the next letter and the next pineapple*” “Because you’re completely aware of those rules, you’ve already recognized that ‘pineapple’ is a transmission error. Given the way the paragraph and the sentence were developing, practically the only word possible in that location was ‘word’ “

So much of what we say is predetermined, by custom, by ritual, by routine.  When it is time to actually say something outside the norm, it is easy to falter. To struggle to find the right words.

As I mentioned earlier, Shannon was an engineer. He was concerned with designing a system to effectively and efficiently transmit messages. In pursuit of solving that problem, he taught us a valuable lesson about constructing messages.

“what does information really measure? It measures the uncertainty we overcome. It measures our chances of learning something we haven’t yet learned. Or, more specifically, the amount of information something carries reflects the reduction in uncertainty about the object”

“Why doesn’t anyone say XFOML RXKHRJDFJUJ? Investigating that question made clear that our “freedom of speech” is mostly an illusion: it comes from an impoverished understanding of freedom. Freer communicators than us, free of course in the sense of uncertainty and information, would say XFOML RXKHRJDFJUJ. But in reality, the vast bulk of possible messages have already been eliminated for us before we use a sentence or write a line.”

If information reflects the reduction in uncertainty, that should be one of, if not the primary focus of our communications. Especially those novel ones that break from ritual and routine.

Think about 20 different people practicing basketball individually on a court.  There are bound to be some collisions, some balls bouncing off each other at the rim, and maybe even some injuries.  An aviation training area can be very similar. Multiple individuals, in a confined area, with different agendas.

In aviation, we make position reports both procedurally in certain airspace, and in high volume uncontrolled areas. Those reports need to resolve a lot of uncertainty in order to avoid disaster.  A good formula is who you are, where you are, and what your intentions are. 

If you know John is working on 3 pointers from the corner, and Phil is practicing layups, you can now decide how and where you want to practice, without disturbing, or being disturbed by, the fellow ballers.   A tremendous amount of uncertainty has been resolved.  That is valuable information. Much more concrete and actionable than, John and Phil are playing baskstball.

This, of course, is a task much easier said than done. To make all, or even most, of our messages precise enough to overcome the maximum amount of uncertainty, requires a novel concept. Thinking before we speak.

What information do I have? What information does the receiver of the message need. What do they expect to hear? What uncertainty needs to be overcome?

There is no shortage of uncertainty in our world. Overcoming even a small amount of it will lead to happier humans. And I’m sure there is serenity to be found along the way.

Thanks for joining me, stay safe and stay sweaty my friends.

Merriam-Webster

Thanks for joining me for another edition of the SerenityThroughSweat blog. This week, I wanted to share another interesting story I found while researching my linguistics project.

The history of dictionaries may seem like a boring subject. You write down words, and you define them. How hard could it be? There are actually a lot of questions that must be answered when deciding how to make a dictionary.

“What is the relationship between words and phrases? How far should a dictionary go in recording nominal phrases? (Fire escape, forest fire)”

“How strictly should a dictionary confine its inventory to recorded usage? Can a spelling form be shared by more than one word (record as a number and record as a verb).”

“How much attention should be paid to etymology? (Weave intransitive vs transitive verb)” Weave in and out of traffic, and Weave clothes on a loom come, from different origin words as an example.

Making a dictionary becomes a little more complex than just a book to check when you don’t trust your scrabble opponent.

One of the most popular dictionaries in the US, is the Merriam-Webster brand. Their story was featured in the chapter I was researching, on the history of lexicography.

“The Merriam dictionaries trace their history back to the American Dictionary of the English Language dutifully compiled by the polemical lexicographer Noah Webster in 1828.  It contains no fewer than 70,000 entries”

“Webster was an indefatigable collector of words with a rare gift for definition writing.”

“Unfortunately,  his etymologies were influenced by his belief that modern languages, including English, are derived from something called Chaldean, which he believed was the language used by Adam and God for their conversations in the Garden of Eden and the immediate precursor to Hebrew.”

“After his death, his successors-including his son-in-law, Chauncey H. Goodrich, and the redoubtable Noah Porter, president of Yale College- quietly abandoned the Chaldaean hypothesis and brought the etymologies into line with the findings of Germanic and Indo-European scholarship.”

That is a lot to unpack for a book that has been mostly superceded by online reference checking. But recall that for generations, the Webster dictionary reigned Supreme. It is eerie to think about how much power definition holds, and how that power was held by a religious fanatic.

I grew up Roman catholic, and considered myself fairly devout until after high-school. Even I had never heard of Chaldean before.

After some very preliminary research it seems that the Chaldean people were in Mesopotamia around 11-12 thousand years ago, and were assimilated into the Babylonians. You may recognize that name from it’s own biblical reference the tower or babel.

Apparently there are multiple references not only in the Bible, but also from other renowned scholars, (Pliny the elder and Cicero) to Chaldean knowledge. There appears to be multiple references to their expertise in astronomy, astrology, vibrations, and numerology.

Some or all of that may be nonsense. I don’t know. And frankly, I don’t know how to know if any of it is real or not. Either way, it is fun to think about next time you have to check the dictionary when your five year old asks the difference between gunk and sludge.

We base our lives on definitions. How we identify ourselves, each other, the occurrences of our day to day experiences, they all depend on agreed upon definitions. The ability to set those definitions is a great power. And, as Uncle Ben would say, with great power comes great responsibility.

Thanks for joining me, stay safe and stay sweaty my friends.

Presupposition

Thanks for joining me for another edition of the SerenityThroughSweat blog. In continuing research for my linguistics/communication project, I found this interesting back story that I wanted to share with you.

I am a sucker for a good academic cat fight. For one thing, academics, especially linguists and philosophers, have a way with words.  Their ability to feud with civility, yet use absolutely scathing remarks, is truly a hidden treasure. Sadly, it is one that often goes overlooked. Because, well, you have to be a nerd to read these papers.

This nerd was reading and researching about semantics, and came across the theory of presupposition. Presupposition in interpersonal communication is very easy to take for granted, but it is critical to an effective transfer of meaning.

Here is a quick example. The sentence “I have lost my keys”, presupposes “I had keys before” and “I do not have my keys now”.  While that seems obvious, think of all the things we say to each other every day that require significant amounts of presupposition. 

Now imagine talking to a hunter/gatherer. Someone who has very little in shared cultural/societal experience. Even if they understood each of the individual words and their semantic and syntactical significance, there is a good chance they would not have the same presuppositions.

Presupposition has been explored a few times in the history of modern linguistics, but its first recorded (however, often unattributed) explanation goes back to the time of Aristotle. This leads us to our academic feud.

The story starts with Aristotle’s bivalent theory of truth. Aristotle’s truth theory states: (a) that every proposition is by nature either true or false, without any possible middle or any possible third truth value, and (b) that a proposition is true just in case it ‘corresponds’ with reality and false otherwise.

Eubulides came from the school of the Stoa, and taught philosophy at Megara.  He came up with several paradoxes to challenge Aristotle’s truth theory. You can read about them here.

The paradox of the horns lies at the basis of presupposition theory. It is illustrated by the following fallacy: “What you haven’t lost you still have”.  “You haven’t lost your horns.”  Ergo: “you still have horns.” (How fun is it to say ergo, right)

The statement is obviously silly and false.  It does however illustrate presupposition quite well. You have to have had horns in order to lose them. So the sentence cannot be true in the Aristotelian sense, hence the paradox.

This is all great, a bunch of linguistic and philosophical shenanigans, but the story gets better.  There is some evidence that this specific reference, was not only a challenge to Aristotle’s intellect, but also to his manhood.

The reference of a man having horns comes from a historical reference of the man as a cuckold.  So now Eubulides is playing word games, whilst telling the world Aristotle’s wife is stepping out on him, all in a philosophy class. Shots fired.

There are several different theories about the horns referencing cuckholdry. This article from the BBC shows a more  recent instance of the insult  between Portuguese government officials in 2009.

The article gives a fairly succinct summary of the gesture, and it’s history.  The etymology is from the cuckoo bird that would lay its egg in other birds nests. Thus leaving the chick to be raised by the unsuspecting other bird.

And of course Chaucer’s the miller’s tale gives us, “For she was wild and young, and he was old, And deemed himself as like to be a cuckold.”

In Roman times, horns were given to returning soldiers as a symbol of success on the battlefield. They took on the unintended meaning of cuckholdry when it was discovered a significant number of soldiers returned to errant wives.

The gesture is more recognized, as well as more offensive, in certain countries and cultures. I had no idea it was even a thing, but latin countries such as Columbia, Greece, Spain, Portugal, Mexico, and Italy seem to take the most offense at the gesture.

From the article again, “This is a Latin country. If you say to someone, your wife did this, it is humiliating.”
“It is a great thing to do if you want to start a fight.”

I didn’t think I would end up exploring insults to manhood between government officials when I started my research on pragmatism, but life is full of winding roads and uncertain paths.

I hope you enjoyed wandering down this one as much as I did. Thanks for joining me, stay safe, and stay sweaty my friends.

Binary

Thanks for joining me for another edition of the SerenityThroughSweat blog.  While continuing my linguistics research I seem to have taken a fork in the road to information theory.

Sometimes you follow these paths to dead ends. But sometimes, the path leads to somewhere interesting even if it isn’t exactly where you thought you were heading, or needed to go in the first place.

Information theory was pioneered in the 1940’s and 50’s by Claude Shannon. We talked about him a little bit in the post on noise.

One of the ideas that helped kickstart Shannon’s theory, was that of the mathematician and logician George Boole.

George Boole in the laws of thought, explains the way that any question of logic can be turned into math. This is done with conditional statements AND, OR, NOT, and IF, along with an evaluation of if the statement is true 1, or false 0.

Imagine you want to find out how many people in your city are blonde women. The characteristic blonde can be represented by x and female by y. The statements will either be true 1, or false 0. AND would be represented by multiplication •, OR by addition +.

Each data point (person) can then be evaluated by the equations which can be translated easily back and forth between math and plain English.

1•1 = 1 blonde and female. 1•0=0 blonde and male. If you decide you are only concerned with how many women there are, 1+1=1 for the group of blonde women and 0+1=1 for the group of non blonde women.

This foundation laid by Boole in the 19th century set the stage for Shannon and other inventors to build our modern computing era. Boolian algebra would work with electrical circuits laid out either in parallel or in a series to evaluate the data.

Binary implies and either/or, true/false, 1 or 0.  When setting code to evaluate these statements or questions, computation can be accomplished at lightning speeds.

This is why definitions are so important.  As more and more of our world is driven by this binary code, true or false, statements can only be properly evaluated if we have agreed on the definitions.

This is a blessing for our modern information age. Tasks that would require huge amounts of human time and energy, and would be very error prone, can now be automated.

2+2=4. Is the picture of a stop sign.  Are the letters in This scramble grstl.  These can all be assigned yes or no values.  True or false.  And they are very simple examples.  But as we move away from simple examples and in to more complex questions, the binary coding becomes more challenging.

Writing code to evaluate human defined terms is where I want to focus.  The past few years has seen a rise in social media platforms restricting posts in one way or another.

Sometimes this is done by removing the posts entirely. Sometimes it is done by flagging the post, putting some sort of warning, or label, or explanation on it.  Sometimes it is done by adjusting the post’s visibility.

Most of these restrictions are performed at least initially by a computer.  A computer operating in binary.  The post is true or false. It contains misinformation or it doesn’t. It contains banned content or it doesn’t.

This is not a blog post about censorship, those platforms policies, or one specific position over another. It is about the process. The mechanisms behind evaluating posted content.

If these posts are being flagged initially by an algorithm. That algorithm has to be programmed to observe certain characteristics or definitions.

As we saw from the onset, computers are faster and less error prone than humans at binary logic. When it comes to subjective rationalization, not so much.

If misinformation, or objectionable content, or hate speech is clearly defined, and we all agree on the definitions, then a binary logic calculation is magically fast and efficient.

However, if we go all the way back to 1964, to the court case Jacobellis V. Ohio which ultimately ended up in the supreme court, we see the root of the problem.

A movie theater was being sued for showing a movie with a sex scene. As the court case moved it’s way up the legal system to higher and higher courts, each court was unable to successfully define obscenity and pornography.

The problem is summed up well by justice Stewart in the popular legal quote “I shall not today attempt further to define the kinds of material I understand to be embraced within that shorthand description; and perhaps I could never succeed in intelligibly doing so. But I know it when I see it, and the motion picture involved in this case is not that.”

If humans “perhaps can never succeed in intelligibly defining” such terms, how can we expect a computer code, written by humans to do so?

Yet this is to a large extent the situation we find ourself in. Whoever controls the definition, and writes the code, establishes the binary. What is tru and what is false.

I have said it before, and I will say it again, words are important. The way we collectively define them is important. Participating in conversations about those definitions is important and everyone has the right to a voice in that conversation.

Thanks for joining me, stay safe and stay sweaty my friends.

Noise

Thanks for joining me for another edition of the SerenityThroughSweat blog.  This week I want to talk about noise.

Maybe not in the typical sense that we think of it. There are different types of noise, and they all play a part in disrupting not only effective communication, but our general happiness and even our health.

I found the idea of noise disrupting our health in the book Lifespan by Dr David Sinclair.  Dr Sinclair’s  message condensed down to an elevator pitch, is that ageing is a disease that can be treated, halted, and even potentially reversed. 

A significant part of ageing is noise in the communication between our genes and our cells. Minimizing that noise, and ensuring genes and cells effectively communicate, keeps cells healthy, operating properly, and young.

Dr. Sinclair goes on to quote Claude Shannon, one of the founding fathers of information theory back from 1948.

Shannon’s noisy channel coding theorem, says that “however contaminated with noise interference a communication channel may be, it is possible to communicate digital data error free up to a given maximum rate through the channel. (a mathematical theory of communication, 1948)

Dr Sinclair uses this theory of information transfer as an example for how our genes and cells communicate, as well as what we can do to minimize the noise, thus maximizing the error free data transfer (effective communication)

This got me thinking about the types of noise we experience in interpersonal communications, some of which I recognized without knowing they had their own specific domains. Physiological, physical, psychological, and semantic noise all play their own part in disruption.

Physiological noise refers to anything going on within our personal body that might hinder communication. This could be a headache, hunger, fatigue or other physiological conditions. Think those Snickers commercials. Why don’t you have a Snickers, you don’t listen so well when you’re hungry.

Physical noise refers to disruptions that are physical in nature but external to the receiver. Think headset/radio/phone malfunction, a crowded room, or even a bright and distracting light.

Psychological noise refers to disruptions that are internal to the receivers thought process. If you are preoccupied with another problem, or day dreaming instead of listening that would be psychological noise.

Finally semantic noise is a misunderstanding of words between the sender and receiver. This could be due to lack of shared knowledge, language barrier, or cultural differences.

There is no shortage of barriers to effective communication. There is always some noise present, and often there is a lot of it. The constant noise we live with, makes determining Shannon’s maximum error free data transfer rate a crucial piece of information to know and apply.

Staying at or below the applicable Shannon rate for a given exchange will ensure the message is transmitted effectively. If you have ever had a conversation at a loud concert, with a foreign speaker, a toddler, or someone with a bad hangover, you already understand self limiting your rate of data transfer through the given channel. (If you’ve ever been the hungover one this is greatly appreciated)

Taking account of the noise around us, and the overall capacity of our channels of communication is a demanding and everpresent task. One that helps pave the path to serenity.

just a walk in the park

Thanks for joining me, stay safe and stay sweaty my friends.

Delimitation

Thanks for joining me for another edition of the SerenityThroughSweat blog. Continuing to work my way through linguistic research I came across the following entry from General Course in Linguistics by Ferdinand Sassure.

“A linguistic entity is not ultimately defined until it is delimited, i.e. separated from whatever there may be on either side of it in a sequence of sounds. It is these delimited entities or units which contrast with one another in the mechanism of language”

At the same time I was reading this passage I was listening to the Huberman Lab podcast with movement and mobility master, Ido Portal.  When Ido spoke about movement he intentionally didn’t define it or delimit it.

You can find the full conversation on the Huberman Lab podcast, but I’ll paraphrase his message. “A fluid is delimited by it’s container but that is not the entirety of it’s being. So it is with movement”

Ido also said it was his goal to not answer any of Professor Huberman questions because words are incomplete and delimiting entities.

I was struck the the diametric opposition of these two points.  It is obviously a philosophical thought experiment. One that may not have an entirely productive outcome. But, I found it fun to engage in none the less.

On the one hand, a linguistic unit (not always as simple in academic terms but for our purposes today: a word) only has meaning by it’s delimitation from all other words.  On the other hand, an idea, being delimited by a word will often fail to capture the entirety of it’s essence or being.

Words are our most effective tool to express ideas. But words are an imperfect tool.  Both Sassure and Portal approach the same point, that words are primarily negatively defined entities, from different angles.

That means that words are defined more so by what they aren’t, than what they are.  It is easier to define a difficult word by pointing out how it is unlike other words than what it actual is itself.

Think about a word like morose: “having a gloomy or sad disposition”. But feeling morose isn’t gloomy, or sad, or upset, or depressed. If it were, those words would do, and there would be no need for morose. The same could be said of ecstatic. Happy, joyful, glad, excited… All of these words are close but not exact. We define our some of our most important words negatively, by how they are unlike other “known” quantities.

I think that is why there is such beauty in art. Whether it is the written word, music, or some form of visual expression or story telling. We appreciate the exquisite exchange of ideas.

With an inherent knowledge that words are imperfect, and negatively defined, we are captivated when the right combination of words transcends those boundaries. When a passage speaks to us in a way that isn’t delimited by it’s container. When we feel that we truly understand it’s essence.

Maybe it was your favorite song. A poem that spoke to you. A passage by your favorite author. We all have some array of words which has deeply touched us and conferred meaning beyond the sun of their parts.

Riding through a zwift academy workout this morning “The Light” by Common came on. The rapper’s take on complex topics accompanied by captivating beats, is rivaled only by his longevity in the industry. The song is a dive into relationship communication and one line stuck with me as I struggled to breath through the above FTP effort.

“I never call you my b*tch or even my boo, there’s so much in a name, and so much more in you.”

Words are incredible tools. Occasionally we can string them together in a way that is transcendent. For the rest of the time there is beauty in the struggle to define essence with imperfect tools.

Thanks for joining me, stay safe and stay sweaty my friends.

Value

Thanks for joining me for another edition of the SerenityThroughSweat blog. While continuing research for my linguistics project I found this interesting philosophical quote on value.

Values always involve:

(1) something dissimilar which can be exchanged for the item whose value is under consideration.

(2) similar things which can be compared with the item whose value is under consideration.

An easy example would be the value of a five dollar bill. With a five dollar bill you can buy a gallon of gas (maybe), and you could also get five one dollar bills, or a number of euros, based on a value exchange rate.  The value consideration of the five dollar bill is based on both similar and dissimilar items.

Currency of any kind is an easy example because it comes in denominations that are easily changed.  A less concrete (or more concrete depending on where you live) example would be a home.

The home would be priced in the local currency, but would also have it’s value partially determined by comparable homes in the area. Homes with similar features, amenities, square footage etc.

With dollars, the value determination from the similar category is really the same, where as with the home, the determination based on the similar category is only comparable.  The difference may seem minute but it is important.

The examples given are tangible, but the discussion quoted was about linguistics, and specifically, linguistic units.

Whether you want to break down individual words, syllables, or individual signs (signs, has a very specific and nerdy linguistic definition, that we might get into at a later date) each has a value based on the two criteria above.

Going on a yeti hunt

“A word can be substituted for something dissimilar: an idea. At the same time, it can be compared to something of like nature:another word. It’s value therefore is not determined merely by that concept or meaning for which it is a token” (Sassure, Course in General Linguistics)

Sassure then goes on to cite the value of the word mouton in French as compared with the word sheep in English. While the meaning is generally the same (a four legged wooly animal that Mary had as a pet) the value in each language is different.

In French mouton can be used to mean both the animal as well as the cooked meat. In English the animal is referred to as a sheep and the meat is mutton. So the value of the word in each language is different.

The difference in value is due to the presence, or absence of other similar items. It’s value is determined in part by how much it can be delimited from other elements in the same system.

The subtly of similar and comparable, and the variance between value determination in similar and dissimilar categories together form a complex process for effectively determining value.

This is something we do almost instinctively on a very regular basis. Something is on sale. Something looks like a good deal. Something is overpriced. As a consumer driven nation this is a process we engage in regularly.

But what about value determination for items without price? How you choose to allocate your free time? Things like opportunity cost. What value do you derive from your choices? How is that value determined.

This is mental exercise I engage in frequently. Comparing the money saved and the pride of completing a home improvement project yourself, against the time taken that could be spent doing other things with family or friends, the frustration that inevitably comes with these projects, and the workmanship that despite my best efforts will not be the same quality as a professional.

Each option has its own value. Delimited by what it can provide, and what it can exclude. A constant reexamination and assessment of value is important to properly align priorities. It is also a step toward serenity.

Thanks for joining me, stay safe and stay sweaty my friends.