Learn to Think in Color

Who Benefits from the Questions You’re Not Allowed to Ask? The most revealing rule in a room may be the one nobody admits exists. Framing the Question Who benefits from the questions you are not allowed to ask? Usually, it is the person, group, or system that needs an important claim to remain untested. A discouraged question may protect a reputation, a revenue target, a family story, a political certainty, or a leader’s authority. The question matters because silence does not merely keep a room comfortable; it often assigns the risk of being wrong to someone who has less power to object. The Boundary and the Beneficiary The direct answer is not automatically “the villain.” It is whoever gets to continue as before because examination has been made costly. That cost may be obvious, such as retaliation or exclusion. More often it is subtle: the eye roll when someone asks for the underlying numbers, the private warning not to be “difficult,” the compliment reserved for people who are “tea...

How Do You Know If You’re Getting Better at Asking Questions? The real sign isn’t that your questions sound smarter. It’s that they fit the moment and change what happens  How Do You Know If You’re Getting Better at Asking Questions? The real sign isn’t that your questions sound smarter. It’s that they fit the moment, serve the purpose, and change what happens next. Framing the question: Getting better at asking questions is not about sounding deeper, sharper, or more impressive. It is about learning to align a question with its purpose. The real test is whether your question fits the moment, reaches the right audience, and creates useful movement. Over time, the practice changes you too: you become more aware of what a question can clarify, interrupt, reveal, or transform. Stop Using the Wrong Scorecard A question can sound intelligent and still go nowhere. Polished, thoughtful, beautifully phrased — and yet leave everyone exactly where they started. That is performance, not progr...

What's Upstream from AI? Big-Picture Framing – Before the Algorithms We usually start thinking about AI at the moment of output: the answer on the screen, the suggestion in the product, the summary in your inbox. But the real leverage point sits  before AI  ever runs—upstream in the human choices, data, and incentives that quietly shape what these systems can and can’t do. Think of AI as the last mile of a long pipeline. Upstream are decisions about which problems deserve automation, what “good” looks like, whose data we use, and what risks we’re willing to accept. This piece gives you a simple mental model for that “before AI” layer, so you can influence outcomes long before you’re stuck arguing with a model’s answer. What does “upstream from AI” actually mean? Most AI debates start too late. A model behaves strangely, people argue about prompts, and someone suggests another safety filter. By then, the important decisions have already been made. “Upstream from AI” is everythi...

How Can You Tell How Biased a Question Is? Simple ways to spot when a question is steering you High-level framing Biased questions don’t just seek information — they quietly steer it. Learning to recognize biased questions helps you think more clearly about surveys, news, meetings, and 1:1 conversations. In this post, we’ll walk through a simple checklist for spotting biased questions, a way to rewrite them, and why sometimes  biased questions are actually intentional and useful . You’ll also see why  perfect neutrality is impossible  and why the real skill is choosing your frame on purpose, not pretending you don’t have one. Why Biased Questions Matter Think of a biased question like a tilted pool table. You can still aim carefully, but the ball will always drift in one direction. Biased questions often: Smuggle in assumptions Use judgmental language Only invite one type of answer Example: “Why is our marketing team so bad at execution?” You’re not really being asked to ...