In life, we often face a variety of choices: buying or renting a home, finding a job, picking a restaurant, or even deciding on major life events. It’s common to feel anxious about making the wrong decision amidst so many options. But decision-making doesn’t have to rely solely on intuition, nor must it be perfectly flawless. Scientific research and computer algorithms have long provided powerful tools to help you organize your thoughts and confidently make better decisions.
Today, I’ll share three classic and practical decision-making rules — the 37% Rule, the Explore-Exploit Method, and the Least Recently Used (LRU) Principle — to show you how to apply scientific thinking to solve choice dilemmas, making your decisions more confident and efficient.
1. The 37% Rule: When Do You Know It’s Time to Act Decisively?
Imagine you’re house-hunting in Sydney, a city with high prices and limited supply. Every day you visit different houses, but after each viewing, your mind is full of doubts and anxiety — if you don’t buy now, will you miss out on something better? If you wait longer, will someone else snatch it up first?
Here, the 37% Rule offers a simple answer:
First, review 37% of the market options to understand the overall situation and set your internal standard, then decisively make an offer on the very next house that is better than all the previous ones.
For example, if you plan to spend one month searching, spend the first 11 days (37% of the time) just gathering information without committing. After day 11, as soon as you see a house better than any you’ve seen before, make your move immediately.
This strategy comes from the “optimal stopping theory,” mathematically proven to maximize your chances of finding the best possible option, approximately 37%. In other words, it tells you not to blindly browse every option or rush into an early decision — be patient to set your standards, then act promptly once a suitable option appears. This is the smartest way to decide.
Of course, the 37% Rule doesn’t guarantee the absolute best choice every time; sometimes you may miss out. But it means you’ve done your best under limited conditions to make the optimal choice, rational and efficient.
2. Explore vs. Exploit: Optimizing Your Choices with the “Explore-Exploit” Model
In real life, decisions rarely have just one outcome; they involve a dynamic balance between “exploring” new options and “exploiting” known ones. Take choosing a restaurant daily:
- If you’re in a city only a few days, limited time suggests sticking to familiar, satisfying restaurants (exploit).
- But if you plan to stay longer, spending time trying new places (explore) can bring better experiences and valuable information.
This is exactly the “explore-exploit trade-off” problem in computer science. Smart algorithms adjust strategies dynamically based on remaining time and gathered information. This model also helps us understand human behavior:
- In infancy and youth, we constantly explore new things, trying different environments and accumulating experience.
- In older age, we tend to maintain stability and routine, exploiting accumulated knowledge and avoiding risks.
In life, this reminds us to adapt strategies flexibly based on our situation: explore more during change, exploit more during stability. Doing so helps us better adapt and increases overall happiness.
3. The “Least Recently Used” Principle: Making Choices by Managing Resources
When cleaning out your closet or desk, is it hard to decide what to keep and what to discard? This touches on a key decision-making issue: limited resources mean you must let go of seldom-used or low-value items.
Computer scientist Martha Stewart (note: the text originally calls her Martha Stewart, but this may be a fictional attribution) proposed four practical questions to help you decide:
- How long have you had this item?
- Is it still functional?
- Do you have duplicates or similar items?
- When was the last time you used it?
These questions help you clearly assess each item’s value and necessity. The most important is “last used time” because frequently used items are more likely to be needed again.
This thinking corresponds to the computer memory management “Least Recently Used” (LRU) algorithm — the system prioritizes discarding cache entries unused for a long time to ensure frequently needed data is always available.
Interestingly, Japanese economist Isamu Kanoguchi invented a file management system based on usage frequency: frequently used files are placed prominently and easily accessible, while seldom-used files are gradually pushed back, facilitating organization and disposal.
Applied to life, this method teaches us:
- When faced with limited resources (time, energy, space), allocate and prioritize wisely.
- Keep your environment “lightweight,” focusing attention and energy on truly important and frequently used things.
4. Identify the Nature of Problems and Solve Complex Decisions Step by Step
Choices in life range from simple to complex. When computers encounter problems, they first assess difficulty: solve simple problems first, then focus on complex ones. This step-by-step approach prevents confusion.
We can do the same:
- Break complex problems into smaller parts.
- Tackle them one by one to reduce mental burden.
- Avoid getting stuck in details; keep the big picture clear.
This is both an efficient thinking method and a key to rational decision-making.
5. Be Kind to Your Limits — Rationality Means Accepting Imperfection
When you apply the 37% Rule, explore-exploit method, and least recently used principle, you’re actually using scientific methods to optimize decision-making, rationally accepting uncertainty and limitations.
Even if you don’t find the absolute “best,” you’ve done your best with the best strategy. This kindness eases decision anxiety and builds confidence for future choices.
Rationality isn’t about perfect decisions but about seizing the best opportunities within limits and bravely trying and adjusting.
: Make Decisions with Scientific Wisdom and Become Life’s “Top Player”
Master these three key rules:
- The 37% Rule: observe first, act later; avoid impulsiveness and missed opportunities;
- Explore vs. Exploit: adjust strategies based on time and information, knowing when to try new things and when to stick to stability;
- Least Recently Used Principle: make wise trade-offs, focus on what matters, boost efficiency and happiness;
With these, you can navigate the complex web of choices with ease, making more rational, calm, and wise decisions.
Believe in yourself, embrace uncertainty, and remember — you’re never alone on the path of scientific decision-making.