Why dying is often hard, but sometimes easy
You are sitting across from your doctor. You came in for a routine follow up appointment that is supposed to end with "everything looks fine, see you next year." But it does not end that way. The doctor uses words you only half hear. Terminal. Months, possibly. We can talk about what to do next.
You will replay this moment for the rest of your life, however long that is. The fluorescent light over the desk. A child laughing somewhere down the hallway. The faint smell of disinfectant. A text message from a friend you forgot to answer this morning. None of it has changed in the last minutes. You walk out of the office. The same faces sitting in the waiting room. The same barista at the corner. The same streets on your way home.
Nothing in the world has changed, but everything in your world has.
The number you never wrote down
Most people would say the new information of that moment is that you found out that you will die. It is not. You already knew you would die. You have known since you were five or six. The developmental research is fairly settled (Speece & Brent, 1984). By the time you can ride a bike, you have absorbed the fact that everything alive eventually stops. Death is not new information. You have been living with it for thirty years or fifty or seventy. And yes, knowing death as an abstract category is not the same as confronting one's own finitude, but for this argument besides the point.
The new information is the time horizon. Until that appointment, you were maybe operating with an implicit horizon of decades. Probably never have written it down anywhere or made it explicit in some other form. But every decision you made was being weighed against that hidden number. The job you took because it would compound. The skills you were building. The savings you were accumulating. The trip you were going to take "next year." All of that planning rests on a horizon you never named but always assumed. The diagnosis is not the introduction of death into the model, but the rewriting of the time variable.
Now two things have to happen at once. The first is grief. You have to mourn the futures that will not happen. The version of you who would have grown old, saw the graduation of your children, held grandchildren, finished the slow projects. Worse, you have to grieve the time you spent optimizing for a horizon that turned out to be wrong. Every sacrifice you made for the long term was made in a world that no longer exists. The regret of that misallocation is its own kind of pain, separate from the fear of dying.
The second is recalibration. The horizon is now different. The strategy has to change. The decisions you make from this point forward have to be optimized for a new and much shorter timeframe. You cannot do this slowly. The whole point of having less time is that you have less time. Somewhere in the back of your mind a clock has started to tick louder.
The geometry of every decision
The terminal illness example is the most extreme version of a problem that quietly governs every decision you make.
Every decision you make is calibrated against a time horizon, whether you have named that horizon or not. And the horizon is not one number. It is two.
The expected horizon is what you think the timeframe is. The actual horizon is what the timeframe turns out to be and they are almost never the same. People are also bad at estimating even the expected one (Buehler, Griffin, & Ross, 1994), which means the input to every strategy is wrong before the strategy even runs.
Your expectation about how long the game lasts informs what strategy you choose. If you think you have forty years, you compound. If you think you have three, you concentrate. The expected horizon is the input. The strategy is the output. But the strategy you pick does not just sit downstream of the horizon. It runs back the other way. The choices you make can (but doen have to) change how long the game actually lasts. A reckless strategy can shortens it. A protective strategy can extends it. Some strategies run a small chance of cutting the horizon to zero.
So the expected horizon shapes the strategy, the strategy shapes the actual horizon and the actual horizon is almost guaranteed to be different from the expected one.
The founder, the retailer, the career
A founder raises a Series A and quietly assumes the next round is eighteen months out. The strategy that follows is calibrated to that horizon. Hire ahead of revenue. Spend on growth. Push the gross margin question to next year. Then the market turns. The next round does not come. The runway that was supposed to last eighteen months runs out at fourteen. The strategy was correct for the expected horizon, although it got the company killed under the actual one.
The reverse plays out just as often. A retailer assumes the shift to e-commerce is decades away and keeps the long-arc strategy. Refurbish the stores. Deepen the supplier relationships. Train the floor staff. The expected horizon was thirty years of slow adaptation. The actual horizon was eight. The patient compounding work that would have paid off across thirty years became dead weight at year nine. Everything that was a strength inside the expected horizon turned into a liability under the actual one. Christensen (1997) gave this its canonical form. Incumbents do not fail because they manage badly. They fail because they manage correctly for a horizon that disruption has already shortened.
You see it in careers. Someone bets a decade on a slow-compounding craft, expecting twenty more years of upside. The industry collapses in five. The compounding never gets to do its work. Or the opposite. Someone abandons a craft early because they expect a short window of relevance. They watch the people who stayed make a thirty-year arc out of the same starting position.
In every one of these cases, the people involved optimized correctly for their expected horizon - the failure point was not reasoning. You allways have to pick a strategy without knowing the horizon and the outcome will be largly determend by the inescapable structure of making decisions when the horizon is not knowable in advance.
A life that doesn't need to know
The doctor's news lands hard when the life it interrupts was built on a single horizon assumption. Everything was calibrated for forty more years. The diagnosis does not just shorten the horizon, but exposes how much of the life was sitting inside the wrong frame. The first wave of grief is often about this misallocation.
The same news lands differently when the life it interrupts was built what Taleb calls barbell-shaped. A strategy in finance of staying extremely safe with most of one's exposure and extremely aggressive with the rest, precisely so that no single horizon assumption breaks the whole portfolio (Taleb, 2012). What makes the barbell work in finance is asymmetry. The safe end caps the downside, the aggressive end has uncapped upside, and the middle gets neither protection nor leverage. The same shape applies to time. The short-horizon end pays immediately, so its value cannot be taken from you by a horizon that turns out to be shorter than expected. The long-horizon end compounds without limit if the horizon cooperates. The person playing barbell-shaped is giving up the medium-horizon optimization where most people actually live: the five-year career plan, the moderate ambition, the "I'll be happy when X". While being exposed to horizon risk on both sides without being protected on either.
The barbell is, at root, a refusal to commit to one expected horizon and therefore one of the few moves available to you when you cannot know how long you have, because it does not require you to know. The walks taken, the meals eaten with friends and family, the calls made and the emotional risks taken, regardless of payoff - all short term things. The other part runs on the long horizon: the savings still compounding, the craft still being deepened, the children still being raised, the book still being written and the friendships still fostered. The technical term for barbell strategies are bimodal strategies - more on that in future essays as well as their differentiated use for business and personal life.
This is not a recipe for ease at the doctor's office. There is no recipe. Also not a recipe on how to live a life - there is definitely no recipe for that. What this essay tries to illustrate is why some lives feel finished even when they end early, while others, ended on "schedule", feel cheated.
None of us gets to know the actual time horizon of our lives. So... Dying is hard when you optimized for one horizon and got another. It is easier when you did not.
References
Buehler, R., Griffin, D., & Ross, M. (1994). Exploring the "planning fallacy": Why people underestimate their task completion times. Journal of Personality and Social Psychology, 67(3), 366–381.
Christensen, C. M. (1997). The innovator's dilemma: When new technologies cause great firms to fail. Harvard Business School Press.
Speece, M. W., & Brent, S. B. (1984). Children's understanding of death: A review of three components of a death concept. Child Development, 55(5), 1671–1686.
Taleb, N. N. (2012). Antifragile: Things that gain from disorder. Random House.