Learn to Think in Color

How Do You Raise Money in Today’s Market? Capital is available. Conviction is scarce. Fundraising can look deceptively easy from a distance. Headlines feature enormous venture rounds, new funds continue deploying money, and certain sectors attract remarkable amounts of investment. But the total amount of money invested does not tell an individual founder how easy it will be to raise. Capital can be abundant while concentrating in a relatively small number of companies. That changes the fundraising problem. The challenge is not simply finding someone who has money. It is giving the right investor a compelling reason to allocate that money to your company instead of another opportunity. Start With the Milestone Many fundraising discussions begin with a number. “We need $5 million.” That may eventually be the correct amount, but it should probably not be the starting point. Begin with what the company needs to prove. A young company may need to demonstrate repeatable demand. A so...

How Do You Read a Room? Read the change, not the mind. Reading a room is often described as a kind of social intuition. Someone walks into a meeting, senses the mood, and seems to know immediately what everyone is thinking. But good social awareness does not require mind-reading. A more reliable approach is to notice what changes in the interaction and separate what you actually observed from the explanation you immediately want to give it. The Korean concept of nunchi provides a useful way to think about this. In practical terms, it involves noticing social cues and adjusting your behavior in response. Start With Changes in Pattern Imagine a leadership meeting where the CEO presents a new plan and asks whether anyone has concerns. Nobody objects. If you focus only on the words, the group appears to agree. But suppose the operations director, who challenged two earlier proposals, suddenly stops contributing. Two people glance toward the finance director, and the discussion beco...

How Can You Tell When a Prediction Is Being Treated as a Fact? You can tell when people stop making room for the prediction to be wrong. Predictions are necessary. Businesses forecast revenue, teams estimate completion dates, households anticipate expenses, and people make decisions about futures they cannot know with certainty. The problem is not prediction. The problem begins when an uncertain forecast gradually acquires the status of an observed fact. Listen to the Language Change Imagine a company forecasting $12 million in revenue next year. At first, the language is precise: “The forecast is $12 million.” A few meetings later, people begin saying: “We expect $12 million.” Eventually: “We'll have $12 million.” The underlying analysis may be exactly the same. What changed was the amount of uncertainty carried forward with the number. This is how predictions often become embedded as facts. Nobody formally declares the future certain. The language simply becomes mor...

How Much Can Something Change Before It Becomes Something Else? Something becomes different when enough of what made it recognizable as itself no longer remains. Imagine a wooden ship whose planks are replaced as they wear out. One plank is replaced, and nobody doubts that it is still the same ship. Another is replaced, then another, and the judgment remains easy. Eventually, though, every original plank is gone. Is it still the same ship? This is the Ship of Theseus, an ancient philosophical puzzle about identity and change. It sounds like an abstract problem until we realize that companies, relationships, institutions, products, traditions, and people face versions of it constantly. Why Counting Parts Does Not Solve the Problem One possible answer is that identity depends on how much of the original remains. Once enough parts have been replaced, perhaps the thing has become something else. But that explanation quickly runs into problems. A company can replace every computer, ...

Why Do We Trust the People We Trust? Trust starts before the evidence does. We like to think trust follows a simple process. Someone proves reliable, so we trust them. Someone disappoints us repeatedly, so we stop. Real trust is more complicated. We respond not only to what a person knows or whether they have been correct, but also to familiarity, consistency, care, confidence, status, shared values, and personal history. That makes trust essential—and imperfect. Trust Helps Us Live With Uncertainty No one can independently verify everything. We rely on doctors, teachers, engineers, friends, coworkers, financial professionals, journalists, mechanics, and countless other people because no individual can possess every form of expertise. Trust reduces the cost of having to begin every decision from zero. In that sense, trust is not a weakness in human reasoning. It is one of the things that makes cooperation possible. But because we need shortcuts, we also become vulnerable to us...

What Would AI Sound Like Without Sensationalism? Less prophecy. More product manual. Artificial intelligence is often described with enormous language. It is revolutionary, transformative, existential, unstoppable, miraculous, terrifying, or about to remake everything we know. Some of that excitement comes from real technological progress. AI systems can now perform tasks that would have seemed remarkable not long ago, and they are moving quickly into everyday work. But what happens if we remove the drama? AI begins to sound much more practical. AI Without Hype Sounds Like a Tool A less sensational description might say that AI is software capable of identifying patterns, generating outputs, summarizing information, making predictions, and helping people complete certain tasks more quickly. Sometimes it performs those tasks extremely well. Sometimes it makes obvious mistakes. Sometimes it removes hours of repetitive work. Sometimes it creates additional work because someone has ...