Logistic Regression: Should You Send the Second Text?

I didn’t get a reply, so I sent a second text to clarify that I am normal. This was the first sign I was not.

That is logistic regression.

Logistic regression is a machine learning algorithm used for classification. It does not usually predict a number like price, height, or temperature. It predicts the probability that something belongs in a category.

In plain English, it asks:

Is this a yes or a no?

Will the customer buy?

Is this email spam?

Is this transaction suspicious?

Should I send the second text?

That last one is where the algorithm earns its tiny emotional clipboard. 📋 

Logistic regression looks at evidence and estimates a probability between 0 and 1.

A probability close to 0 means “probably no.”

A probability close to 1 means “probably yes.”

A probability around 0.5 means the model is sitting on the floor with you, also unsure, which is not ideal but at least now you have company.

For the second-text problem, the algorithm might look at clues like:

How long has it been since the first text?

Was the first text a question?

Was the conversation already active?

Did the other person usually respond quickly?

Was your first text “lol” or a twelve-paragraph emotional weather report? 📖 

Each clue adds weight.

A simple “Hey, what time are we meeting?” after two hours may get a high probability of “send a follow-up.”

A second “haha no worries if not” after eight minutes may get a lower probability.

A third “I just think communication is important” after fourteen minutes should probably trigger emergency airplane mode. ✈️ 

Logistic regression starts with a weighted score, then passes that score through a curve called the sigmoid. The sigmoid turns the score into a probability between 0 and 1.

That probability is the key.

The model does not simply shout “YES” or “NO” like a dramatic friend holding your phone hostage. It says:

“There is a 78% chance this belongs in the yes category.”

Then we choose a threshold.

If the threshold is 0.5, anything above 50% becomes yes, and anything below 50% becomes no.

So if the model predicts a 72% chance that sending a second text is reasonable, send it.

If it predicts 19%, put the phone down and go drink water. Hydration is your friend. 

The strength of logistic regression is that it is clear and practical. It gives a probability, not just a label. It also lets us see which clues influenced the decision.

Time since last message may increase the probability.

A direct logistical question may increase the probability.

Emotional spiraling may decrease the probability.

Typing “just checking if you saw this” after six minutes may cause the model to quietly cringe. 

The weakness is that logistic regression draws a fairly simple boundary. Real life is messier than yes or no. People are busy. Phones discharge. Meetings run long. Some people read texts, think of a reply, mentally send it, and then return three days later realizing they never sent it (me, I’m this kind of people) 😆 

Still, logistic regression is a strong first tool for classification.

It helps separate “reasonable follow-up” from “please hand your phone to a trusted adult.”

Linear regression predicts a number.

Logistic regression predicts a category.

Linear regression says, “This will cost $42.”

Logistic regression says, “There is an 86% chance you should not send that text.”

And honestly, that may be one of the most socially useful applications of machine learning.

Laughing at Home

 

Tomorrow is my birthday. Naturally, this has me thinking more deeply about my long-standing humor experiment, which began fifteen years ago, in April 2011.

For those who do not know me, are not familiar with Happy Thoughts Travel Fast, or have never encountered my philosophy of humor experiment, this post may shed some light on it.

Shedding a little more light into the world was pretty much the main motivating force behind the experiment, which of course started at home. Long before I treated humor as a formal philosophical inquiry, I loved its healing force, its therapeutic intelligence, and its capacity to give the body relief before the mind has organized a full explanation, complete with backstory, context, and supporting exhibits.

I love the sudden opening that happens when laughter interrupts heaviness and returns a person to breath, proportion, and the ability to get on with life a little lighter in the heart, mind, and soul. I love the sheer pleasure of being lighter in myself.

That love became the foundation of the experiment. Love for the kind of wisdom that helps us know when someone needs a laugh instead of a hard time. Love for humor and laughter because, at the end of the day, we all laugh in the same language. Love for the smiles I see on people’s faces when we laugh about life instead of whine or complain. 

The project behind Happy Thoughts Travel Fast began with love. It began at home. In my career and in life, I have seen many good people fall into themselves and then deeper into depression. These same people often mask brilliantly, but when you are paying attention, you can still see sadness just below the surface. Most of us can recognize the difference between a polite smile and a real one. We simply live in a society where it is rarely polite, appropriate, or convenient to discuss what people are actually carrying.

HTTF was my way of creating a little space away from my professional work for all the people I might be able to reach with a laugh at a distance. Over the years, I posted thousands of articles, comics, drawings, jokes, and random pieces of thought from my world. Some were creative and playful. Some were totally incoherent. I almost never edited because my time was limited and, clearly, I lean on the don’t-worry-about-it side of the spectrum when it comes to punctuation, grammar, and all things literary.

At the end of the day, I always come back to laughing. I come home to laughing. And I try to welcome others with a little levity and a laugh. I do this because I genuinely enjoy life and wish to spread good cheer. It is a renewable resource, you know.

Anyhow, as a philosopher, I also wanted more than an external account of laughter. I wanted to enter the joke as a field of experience. That makes sense with my background. I have spent much of my life working in the field to deliver critical infrastructure across the globe. It checks that I would approach humor the way I approach most things: as an active systems architect. 

I wanted to know what humor does to perception when the self becomes part of the inquiry. That is not so different from philosophers and scientists postulating on the nature of infinity from inside a finite bioenergetic mechanism (i.e., the human body). I wanted to test how laughter changes the way a person thinks, teaches, remembers, responds, and is recognized by others. I wanted to bring humor into ordinary life and see whether wisdom could prevail while one was still able to laugh in public.

In 2011, I legally changed my name so that this same wisdom, laughter, and goodwill could become a single public entity. I won’t lie. At first, this was hard for some people who only knew me through my work. My real friends knew I was never as serious as my resume might otherwise imply. At the same time, some colleagues thought I went "off the deep end" and could barely bring themselves to say the word laughing, much less address me as Dr. Sophy Laughing (Soph, to my friends). 

So what did I do?

I told more jokes.

I explained that I had missed my calling as a medical practitioner, and to imagine going in for surgery only to discover that the anesthesiologist's name was Dr. Laughing. With a name like that, you know she is there to make you feel better.

That little quip of an explanation usually brings a laugh, and that is good because that is what all of this has been about.

Still, I am like most everyone else. I have good days and bad ones. Even when my name reminds me to laugh, I do not always laugh.

In late 2017, I had a second serious spinal cord injury. I broke an insane number of bones in that fall, but I still managed to fake my way through dinner. The next morning, we took me to the emergency room. I knew I was badly hurt, but the doctors and medical professionals we encountered treated my situation as though it could not possibly be that serious. Fast forward: the good doctors at Stanford University finally acknowledged my neck was badly broken after eighteen months of emergency visits, five insurance plans, and a lot of work navigating a less than efficient medical care system. 

Not the funniest of situations.

Since we were not getting anywhere here in the States, and since I work internationally, we were finally able to cast my recovery net further. Doing so, we were referred to a brilliant spine surgeon and his five-person surgical team in Cancún. They routinely operate on spinal cord injuries because of all the surfing injuries there. Anyhow, they saved my life. I am forever indebted to them, to my family for taking care of me, to the friends who helped us find this team, and to Mexico.

Then the pandemic hit. It felt like one thing after the other and in the middle of that I kept thinking, life is supposed to be fun. Not because life owes us anything, but becuase we owe our selves the best experience our minds can conceive, even if our vision of the world is through rose-colored glasses slightly. It doens't cost anything to improve our attitude. I upped mine, as I say. Now, up yours! haha (j/k)

My humor theory would not be complete without mentionioning that there is a deep undercurrent of spirtiuality and respect for life. I didn't get up at 4:30am to write all these years for the applause. I genuinely wanted to separate myself from the seriousness of my career to philosophize. 

When it comes to drawing lines in the sand, I do not make jokes at the expense of others. I acknowledge that there are a lot of folks out there who enjoy and wield sarcasm like a lightsaber, digging into the nitty gritty or low-brow weeds for that raw, biting humor that Netflix publishes. Some of that stuff cracks me up, but I prefer to laugh with people while we laugh at life. I would rather assign a funny backstory to a force of nature or a domestic topic than make a joke about how people and cultures are different. In large part because I've worked on four continents and in my experience, people are pretty much the same. I've encountered the same archetype personalities across borrders. The challenge with lifting up others in humor is that you have to be light enough to not add extra weight. I've also noticed that comedians who reach lower are already there, so its not much of a stretch. They can put on a smiley face when performing, but behind the scenes, they're often times struggling with the incongruity of it. 

So, long story short, it has been a hot minute since I have been actively blogging. But I am happy to return. I think I have had enough time inside this experiment to do it justice, both as a philosopher and as a practitioner.

Knowing how to laugh, losing the desire to laugh, and then returning to humor again reminds me that this experiment was never whimsical or fleeting. Perhaps shedding light on my own humor journey will remind others that you can lose your laugh and still get it back. No fanfare. No special recipe. No dramatic announcement. No email campaign. Although, full disclosure, I am thinking about offering a masterclass on the mechanics and philosophy of humor for those who are interested in learning how to lighten up and how to help others do the same.

I cannot tell you how many meetings I have been in where the energy started to lean a little sideways. A well-timed bit of levity or a small joke can shift the whole room and minimize disputes before they harden into something heavier. Humor is not a foolproof solution for solving complex interpersonal challenges, but it sure does move the needle toward a lighter space where people can solve those challenges easier.

As it turns out, laughing is not only at home, in a name, in a blog, or even on stage. It is a big part of our ordinary lives. And speaking from fifteen years of experience, laughing is a pretty good way to show up.

The Responsible Humor Matrix

 

Not all jokes are created equal. Some build rooms. Some burn them down. Most wiggle their way somewhere in the middle while other's are busy checking their phones.

The Responsible Humor Matrix is a quick diagnostic. Four types of humor. Four types of targets. One question running underneath all of it: what is this joke actually doing?

Let's find out.

The Four Humor Types

Bonding — the joke that says we're in this together. The shared eye-roll. The callback only your team would get. The thing that makes a group feel like a group.

Relief — the pressure-release valve. The laugh right after something tense, difficult, or genuinely absurd. It doesn't minimize what happened. It helps everyone survive it.

Critique — the joke with a point. Satire. Irony. The observation that gives something meaning by making it funny. This one has power, which means it also has responsibility.

Attack — humor used as a weapon. Designed to diminish, embarrass, or exclude. It gets laughs the way a bully gets attention — briefly, and at someone's expense.

The Four Targets

Self-directed — you are the joke. Usually safe for bonding and relief. Critique of yourself requires care (there is a line between self-aware and self-defeating). Attack directed at yourself is just a bad hair day.

Peer-level — joking with someone at your same level of power, context, and trust. Bonding and relief work beautifully here. Critique needs care — even between peers, a pointed joke can feel differently on the receiving end than it was intended. Attack is still high risk, trust or no trust.

Public figure or system — politicians, institutions, corporations, policies, the DMV. This is where critique lives and thrives. Punching up at power is a legitimate comedic tradition with a very long history and an excellent track record. Bonding and relief need care — not everyone shares your relationship to the target. Attack is still high risk, even here, because how you go after power says something about you.

Vulnerable target — someone already carrying something heavy. Someone with less power, less protection, or less choice in the situation. Every column here either warns you or stops you entirely. Often harmful. High risk. Don't be a tool. 

Check Your Humor Compass

Before you send the group chat message, deliver the line, or post the thing — five quick checks:

Target — who is receiving this joke? Is it at someone's expense?

Context — what room are you in? What just happened? What is the vibe?

Power — are you punching up, sideways, or down? Direction changes everything.

Consequence — who carries the cost if this hits wrong? Is it you, or is it them?

Human dignity — does this joke leave everyone's dignity intact, including the target's? If yes, proceed. If you have to think about it for more than three seconds, that is probably your answer.

Takeaway

Ask what the joke is doing, to whom, and for what purpose.

Bonding and relief are your workhorses — safe, connective, genuinely useful. Critique is your sharpest tool — handle accordingly. Attack is not a humor style. It is a choice, and it is almost always the wrong one.

The best jokes make people feel seen, not small. They make the room bigger. They leave everyone — including the target — with somewhere to stand tall. 

That is responsible humor. It is also just funnier.

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Happy Thoughts Travel Fast | happythoughtstravelfast.com

Decision Tree 🌴 The Algorithm That Keeps Asking Questions

I asked whether the leftovers were still good. The decision tree asked, “Does it smell like food or like something that should have been thrown out three days ago?”

That is a decision tree.

A decision tree 🌴 is a machine learning algorithm that makes predictions by asking a sequence of questions.

It works like a flowchart. 📈

At each step, the model asks one question that splits the data into smaller groups.

Is the cake bigger than three layers? 🍰 

Did the customer click the link? 🤞 

Is the email from your boss? 😬 

Has the leftover container started growing something unrecognizable?

Each answer sends the example down a different branch.

Eventually, the tree 🌴 reaches a final decision, called a leaf.

For the leftovers problem, the tree 🌴 might look like this:

Is it older than four days? 🤢 

If yes, do not eat it.

If no, does it smell normal? 👃 

If no, do not eat it.

If yes, was it seafood? 🍤 

If yes, absolutely do not play games with fate.

That is the beauty of a decision tree. 🌴 It feels natural because humans already think this way. We ask questions, narrow the possibilities, and arrive at a practical conclusion.

Decision trees 🌴 work because many choices can be broken into smaller tests.

A bank deciding whether to approve a loan may ask about income, credit history, debt, and payment behavior.

A doctor 👩🏼‍⚕️ assessing risk may ask about symptoms, age, test results, and medical history.

A person standing in front of the fridge at midnight may ask whether the pasta is dinner or evidence.

The model learns which questions are most useful by looking at past examples. It tries to split the data in a way that separates outcomes clearly.

A good question creates order.

A weak question adds confusion.

For example, “Is the food in a sealed container?” might help a little.

“Was the moon emotionally distant when you cooked it?” probably helps less, unless your kitchen has unusually rich metadata.

The strength of decision trees 🌴 is that they are easy to understand. You can follow the path from question to question and see how the model reached its answer.

That makes them useful when explanation is important.

Their weakness is that they can become too detailed. A tree can memorize tiny quirks in the training data instead of learning the larger pattern. That is called overfitting.

In fridge terms, overfitting is when the model decides that Thursday lasagna is always safe because one Thursday lasagna survived once in 2021.

That is not wisdom. 🤓

That is survivor bias with cheese. 🧀 

Decision trees 🌴 are practical, visual, and surprisingly intuitive. They turn messy decisions into a sequence of smaller questions.

So the basic rule is simple:

Use a decision tree 🌴 when the problem can be broken into clear choices.

Question it when the tree 🌴 becomes too specific, too confident, or weirdly attached to old lasagna.

A decision tree 🌴 does not need to know everything.

It just needs to ask the next useful question.

And sometimes that question is:

Why is the container growing fur? 🐻