Explore vs. Exploit: How to Stay Young Forever

At a certain age, you notice a clear phenomenon: the protagonists of movies and TV shows are almost always young, typically between 20 and 30. They fall in love, save the world, start businesses, or simply make mistakes and grow. Once you pass 40, certain plotlines stop happening to you, and later on, you might lose your presence entirely.

In 2015, in the top 100 North American box office films, characters over 60—counting all characters, not just leads—accounted for only 11% [1], far lower than their actual proportion in the real-world population.

The stage belongs to the young. Middle-aged and elderly people on screen usually serve only two functions: either as background “kind elders” or as stubborn forces obstructing the growth of the young. Even if you are allowed to exist, you are no longer the focus of the story.

Is this a bias, or an accurate depiction of the real world?

On one hand, in the real world, the people doing “big things” are often not young, but middle-aged or even elderly. It was once thought that scientific discovery was a young person’s game, but now most Nobel Prizes in Physics are awarded for work completed after the age of 40 [2]. While the media loves stories of college or high school students becoming billionaires, the probability of startup success is much higher for middle-aged entrepreneurs. The average age of successful founders at the time of their company’s founding is 45 [3]. Think of today’s most influential directors, artists, and especially politicians—most are over sixty.

On the other hand, those doing big things are a minority. Most people do indeed exit the social stage as they age, quietly packing their bags for retirement. Their lives may not be worth filming because they no longer create any suspense.

So, there are two types of older people: ordinary people who follow the social script and gradually fade out, and the “outliers” whom scientists call “SuperAgers.” Movies simply cater to the perceptions of the ordinary.

This thinking tool tells you how to become the second type.

✵

The Explore/Exploit Tradeoff #

If you want your life to have a plot, you have to “shake things up.” In scientific terms, this is called “Exploration” (Explore)—trying something new today, going somewhere new tomorrow, doing things that might bring unexpected rewards but come with risks.

Young people have no “territory,” so they have no choice but to explore, which leads to interesting encounters. However, by middle age, people have already explored a piece of the world, found a “comfort zone,” and believe they should simply remain within the fruits of that exploration. This is called “Exploitation” (Exploit).

If you have built a great territory, shouldn’t you cultivate it deeply and enjoy it? Is it necessary to continue exploring new lands? But if you stop exploring, what if you miss out on a better territory?

The thinking tool we are discussing is the “Explore/Exploit Tradeoff.”

This is a classic problem in computer science and decision theory, also known as the “Multi-Armed Bandit Problem”: You are faced with several slot machines, each with a different winning probability that you don’t know. You have a limited number of coins (time and energy). What do you do? You have two strategies:

• Explore: Try machines you haven’t played before. This might cost you money, but it could lead you to a jackpot machine.
• Exploit: Stick to a machine you’ve already found with a decent winning rate.

Exploration is paying a cost to gain information; exploitation is extracting the maximum benefit from known information.

Eating at a new restaurant is exploration; going to your favorite old noodle shop is exploitation. Developing a new product is exploration; doubling down on your best-selling blockbuster is exploitation. How do you balance the two? Academia has proposed many algorithms, but there are a few principles to consider.

1. Explore first, exploit later. If you haven’t seen many options, how can you be sure the one in front of you is the best? Yet many people exploit without exploring—plunging into a career or a path without sampling alternatives. The correct approach is to treat early life as a “sampling period”: internships, cross-departmental work, auditing classes, meeting diverse people—first find out what fits you.
2. Don’t explore forever. Once you have a good idea of what’s out there, you should pick something good and cultivate it deeply. This is the “Optimal Stopping” problem: you should sample enough to set a benchmark, then settle when you find something better.
3. Continue exploring even if you have a great exploitation option. The more profit your current project brings, the more tempted you are to stop exploring. But every exploitation eventually hits diminishing returns. By the time the benefits run out and you are forced to explore, it may be too late.

A key factor is life expectancy. How do we find the right balance as we age?

✵

The Gittins Index: Time as the Ultimate Constraint #

Mathematicians solved this with the “Gittins Index” [5].

The key takeaway is that future exploitation must be “discounted”: if someone expects to be gone in ten years, today’s happiness is far more important than happiness in ten years. Therefore, whether to explore or exploit depends on how much time is left in the game.

If your expected remaining time is long, you should explore more—because if you find a “jackpot,” you have plenty of time to exploit it, yielding massive returns. Conversely, if you are leaving the game soon, it’s better to stick with what you know.

Most people’s problem is entering “exploitation mode” too early. Many people feel their life is set by age 30. With 30 or 40 years of career ahead, this is an insult to the Gittins Index. While it’s rational to shift from exploration to exploitation as we age, it’s a mistake to stop exploring entirely.

✵

The Feedback Loop of Aging #

There is a fascinating mechanism: withdrawing from social life accelerates aging.

Studies have long shown that social isolation is linked to a higher risk of early death [6]. A 2024 study [7] using AI to assess biological age found that socially isolated people tend to have a biological age older than their chronological age.

Why? There is a terrifying feedback loop:

• Withdrawal from social/public life → Reduced input (less stimulus).
• Reduced input → The brain and body enter “energy-saving mode.”
• Energy-saving mode → Less willingness to go out.
• Less willingness to go out → Further withdrawal.

It’s not that we withdraw because we age, but that we age because we withdraw.

✵

SuperAgers: The Power of Continuous Learning #

“SuperAgers” is a group of people over 80 whose memory and cognitive abilities are as good as those in their 50s or 60s [8]. Their cerebral cortex is “younger” and even thicker in certain areas than that of middle-aged control groups.

While genetics, exercise, and diet matter, the most crucial factor is exposure to novel and interesting things, especially learning new skills.

Studies show that when older adults learn challenging new skills—like digital photography or a new language—their cognitive performance improves significantly. One study [10] showed that intensive training in new skills can make cognitive scores typical of people 30 to 50 years younger.

Youth is not about the state of your skin; it’s the frequency of your system updates.

✵

The Rhythm of Success: Explore-Exploit Cycles #

An even more powerful algorithm is to turn exploration and exploitation into a fixed rhythm.

Complex systems scientist Dashun Wang found that successful people often have “hot streaks” in their careers [11]. These are 3-4 year periods of dense, high-quality output.

The secret? They always explore first, then exploit; exploit to achieve results, then explore again, and exploit again [12].

Before a hot streak, there is usually a phase of high-diversity exploration. Once they capture a unique style or a “right” feeling, they focus all their energy on that one thing—exploitation. Once that style is “mined out,” they start a new round of exploration.

This is a practical career rhythm: Exploration is finding a vein to mine; exploitation is playing a winning hand to the fullest. Most importantly, winning once doesn’t mean your career is finished. Life is long; you can go through several “explore-exploit” cycles.

✵

Conclusion #

The Gittins Index depends on your remaining time; the shorter the time, the less you explore. But biological findings suggest that exploration itself can extend your remaining time.

We don’t explore just for exploitation; sometimes we just want to know. Satisfying curiosity is its own reward.

As we’ve said before, what we love most isn’t certainty, but the moment when uncertainty becomes certain. Movies love to film the young because their narratives are naturally exploratory. Perhaps what we truly love isn’t youth, but exploration itself.

Notes

[1] Smith, Stacy L., Katherine Pieper, Marc Choueiti, et al. The Rare & Ridiculed: Senior Citizens in the 100 Top Films of 2015. USC Annenberg Media, Diversity, & Social Change Initiative, 2016. [2] Jones, Benjamin F., and Bruce A. Weinberg. “Age Dynamics in Scientific Creativity.” Proceedings of the National Academy of Sciences 108, no. 47 (2011): 18910–18914. [3] Azoulay, Pierre, Benjamin F. Jones, J. Daniel Kim, and Javier Miranda. “Age and High-Growth Entrepreneurship.” American Economic Review: Insights 2, no. 1 (2020): 65–82. [4] Elite Daily Lesson Season 1: “Mathematicians tell you when to end your single life.” [5] Gittins, John C. “Bandit Processes and Dynamic Allocation Indices.” Journal of the Royal Statistical Society: Series B (Methodological) 41, no. 2 (1979): 148–177. [6] Holt-Lunstad, Julianne, Timothy B. Smith, Marta Baker, et al. “Loneliness and Social Isolation as Risk Factors for Mortality: A Meta-Analytic Review.” Perspectives on Psychological Science 10, no. 2 (2015): 227–237. [7] Rajai, Nazanin, et al. “Association Between Social Isolation With Age-Gap Determined by Artificial Intelligence-Enabled Electrocardiography.” JACC: Advances 3, no. 9 (2024): 100890. [8] Marc Milstein, The age-proof brain: Strategies for boosting brain health and preventing dementia and cognitive decline (BenBella Books, 2022). [9] Park, Denise C., et al. “The Impact of Sustained Engagement on Cognitive Function in Older Adults: The Synapse Project.” Psychological Science 25, no. 1 (2014): 103–112. [10] Wu, Rachel, and Jessica A. Church. “To Stay Sharp as You Age, Learn New Skills.” Scientific American, June 29, 2023. [11] Liu, Lu, et al. “Understanding the Onset of Hot Streaks across Artistic, Cultural, and Scientific Careers.” Nature Communications 12 (2021): 5392. [12] Riley Mann, “What Triggers a Career Hot Streak?” Kellogg Insight, OCT 4, 2021.