34 · The Motive Inventory

Why do you want to win gold at the IMC? Why do you want full marks on the A-levels? Why do you want to win the Putnam? Is it for the accolades? Is it love of maths and physics? Is it vengeance against the world — against institutions that did not validate the self-worth you perceive? Is it rage about your unreleased potential? Is it curiosity about what is within me and what can come out of me? Is it duty — because the dreams and goals that manifest in the soul are holy and sacred from God, so we must live and die for them? Or is this whole narrative a cultic obsession to escape a felt lack of competence and achievement? Is it a challenge through which I can learn to thrive under pressure? Is it a personal cross — pushing the frontier of what humanity perceives as possible in such a radically short time? Is it an unknown drive of unfathomable knowledge ingestion paired with mathematical intuition? It's all of them.

Do you think the sentiment and the mindset have more or less impact than the actual execution on goal attainment? I want these for 2026: the 관정이종환교육재단 full scholarship; Imperial EFDS admission; IMC gold, 135/135; Putnam 120/120; a first quantitative trading internship; the International Physics Competition. Do the reasons behind wanting these affect the probability of getting them done? How do I maximise that probability — or is that a shallow question? Is it better to use goalposts as a compass for the vectors of work, with the primary focus on solving maths problems and learning the concepts around them?

The answer that hit hardest: the primary variable is hours of focused problem-solving. Everything else is secondary. Mindset can become a substitute for execution — you can spend hours optimising your mindset while the problems go unsolved. The best mindset is the one that disappears into the work.

Singular focus: you cannot do all of these simultaneously. The IMC, Putnam, physics competitions, Imperial admissions, scholarship applications, trading internship — each requires a different preparation arc. Optimising for all at once leaves you excellent at none. Sequence. Decide the priority for the next three months, then the next three. The others go on hold — not abandoned, sequenced. Feedback loops: the most efficient learners are not the ones who consume the most information; they're the ones with the tightest feedback loops. For olympiad maths: attempt, fail, understand why, attempt similar, repeat — a loop of minutes to hours. Design your preparation for constant, high-quality feedback on where you are versus where you need to be. Input quality over input quantity: past papers as the primary material is correct for olympiad prep. Textbooks build the map; past papers navigate the terrain. People succeeding at Putnam level do not read textbooks cover to cover — they do problems, and when a problem requires an unknown technique, they go learn it, then return. The textbook serves the problem-solving, not the other way around. Deliberate practice on weakness: most people practice what they're good at because it feels good. Spend your time on what you're bad at. Log every failed problem; categorise by technique, mistake type, conceptual gap; attack the categories directly. It's uncomfortable — confronting your incompetence daily. That's the point. Rest as strategy: the ones who burn out are not the ones who worked less; they're the ones who never built rest into the system. Six to eight hours of deep focused work with scheduled sleep and recovery beats twelve hours of shallow work. And coaching: you need someone who has done it to look at your work — not a tutor who gives content, but a coach who sees where you're inefficient. If you can't access one, simulate the feedback through rigorous self-diagnosis, official solutions, past competitors' notes, and the community. Which means holding, almost as an instinct, the question: what is the problem in my thought process that must be addressed right now?