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르네상스 도박 분쟁이 확률론을 탄생시킨 방식

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17세기 파스칼과 페르마는 중간에 중단된 도박 게임에서 상금을 공정하게 분배하는 방법(점수의 문제)을 논의하며 현대 확률론의 기초를 확립했습니다. 이들의 연구는 주식 투자부터 보험에 이르기까지 오늘날 모든 종류의 위험 평가와 합리적 의사결정의 근간이 되었습니다.

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르네상스 도박 분쟁이 확률론을 탄생시킨 방식

우연히 중단된 도박 게임에서 상금을 어떻게 나눌 것인가를 둘러싼 논쟁은 초기 수학자들이 현대적인 위험 평가를 발명하게 만들었다.

저자: Jack Murtagh / 편집: Jeanna Bryner

수학을 좋아하시나요? 매주 발행되는 뉴스레터 Proof Positive를 구독해 보세요. (이메일을 입력하면 Scientific American 및 Springer Nature Limited의 개인정보 보호정책에 따라 정보가 처리되고 이메일 확인 및 발송을 위해 제3자 서비스가 활용됨에 동의하게 됩니다.)

상상해 보십시오. 당신과 내가 간단한 운 게임을 하고 있습니다. 우리는 각각 50달러를 상금(pool)에 걸고 동전 던지기를 시작합니다. 앞면이 나오면 당신이 1점을 얻고, 뒷면이 나오면 내가 1점을 얻습니다. 먼저 10점에 도달하는 사람이 100달러 전부를 가져갑니다. 게임이 진행 중이며, 현재 점수는 당신이 8점, 내가 6점으로 당신이 유리합니다. 갑자기 내 휴대전화가 울리고, 급한 일이 생겨 서둘러 떠나야 합니다. 이제 문제가 생겼습니다. 당신이 이기고 있기 때문에 나에게 내 50달러를 그냥 돌려주고 싶지 않을 것입니다. 하지만 나에게도 행운이 연속되어 역전할 수 있는 기회가 남아 있기 때문에 상금 전부를 당신에게 주고 싶지는 않습니다. 현금을 나누는 가장 공정한 방법은 무엇일까요?

'점수의 문제(Problem of points)' 또는 '상금 분할의 문제'로 알려진 이 퍼즐은 150년 이상 수학자들을 괴롭혔습니다. 그리고 그것에는 타당한 이유가 있었습니다. 이 문제가 처음 제기되었을 때만 해도 확률론(Probability theory)은 아직 발명되지 않았기 때문입니다. 17세기의 위대한 수학자 블레즈 파스칼(Blaise Pascal)과 피에르 드 페르마(Pierre de Fermat)는 유명한 일련의 서신에서 이 문제에 대해 서신을 교환했습니다. 그들은 상금을 공정하게 나누는 올바른 방법을 발견했을 뿐만 아니라, 그 과정에서 현대 확률론의 기초를 창조했습니다. 오늘날에도 이 해결책은 모든 종류의 위험 평가의 기초가 되어 주식 매수부터 해안가 주택 보험 가입에 이르기까지 모든 것에 대해 더 현명한 베팅을 할 수 있도록 도와줍니다.

1494년, 이탈리아의 수학자 루카 파치올리(Luca Pacioli)는 그의 교과서 '산술, 기하, 비율 및 비례의 개요(Summary of Arithmetic, Geometry, Proportions and Proportionality)'에서 처음으로 점수의 문제에 대해 접근했습니다. 그는 선수들이 중단된 시점의 점수 비율에 따라 상금을 나누어 가져야 한다고 제안했습니다. 지금까지의 예시에서, 당신은 지금까지 14번의 동전 던지기 중 8번을 이겼습니다. 파치올리의 해결책에 따르면 당신은 상금의 8/14를 가져가며, 이는 약 57.14달러에 해당합니다. 나는 남은 6/14를 갖게 됩니다. 이 해결책은 합리적으로 들리지만, 50년이 넘게 지나 니콜로 폰타나 '타르탈리아(Niccolò Fontana Tartaglia)'는 선수 간의 점수 비율이 극단적인 경우 이 방법이 실패한다는 것을 발견했습니다. 만약 단 한 번의 동전 던지기 후에 게임이 중단되었다면 어떨까요? 파치올리의 규칙에 따르면, 게임이 결정되기도 전에 단 한 번의 동전 던지기를 이긴 사람이 상금 전체를 가져가게 됩니다. 이는 명백히 불공정하며, 점수의 문제는 공정한 분할을 찾는 것이 전부이기 때문입니다.

타르탈리아는 대안을 제시했습니다. 가상의 게임에서 당신이 동전 던지기 2개 앞서 있다고 가정해 봅시다. 당신은 승리에 필요한 10번의 던지기 중 1/5을 더 진행한 것입니다. 그것이 목표에 1/5 더 가까워졌기 때문에, 타르탈리아는 당신이 원래 걸은 금액을 전부 돌려받고 상대방 걸음돈의 1/5을 가져가야 한다고 추론했습니다. 즉, 당신이 원래 걸은 50달러에 내 50달러의 1/5을 더한 총 60달러를 가져가는 것입니다. 이 새로운 접근 방식은 특히 극단적인 상황에서 더 공평하게 작동하는 것처럼 보입니다. 이제 게임이 한 번의 동전 던지기 후에 중단되더라도, 그 한 번을 이긴 사람은 상대방의 전체 금액을 가져가는 대신 단지 1/10만 가져가게 됩니다. 파치올리의...

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April 19, 2026 7 min read Add Us On Google Add SciAm How a Renaissance gambling dispute spawned probability theory A dispute over how to divvy up the pot in an interrupted game of chance led early mathematicians to invent modern risk assessment By Jack Murtagh edited by Jeanna Bryner Love math? Sign up for our weekly newsletter Proof Positive Enter your email I agree my information will be processed in accordance with the Scientific American and Springer Nature Limited Privacy Policy . We leverage third party services to both verify and deliver email. By providing your email address, you also consent to having the email address shared with third parties for those purposes. Sign Up Imagine you and I are playing a simple game of chance. We each throw $50 into a pot and start flipping a coin. Heads, you get a point; tails, I get one. The first person to reach 10 points walks away with the full $100. The game gets underway, and the score is currently eight to six in your favor. Suddenly my phone rings: there’s an emergency, and I must leave in a hurry. Now we have a problem. You don’t want to just hand me my $50 back because you’re winning. But I’m reluctant to give you the whole pot because I still have a chance to hit a lucky streak and mount a comeback. What is the fairest way to split the cash? Known as the “problem of points,” or “problem of the division of the stakes,” this puzzle stumped mathematicians for more than 150 years. And it did so for good reason: probability theory hadn’t been invented when the problem was first posed. Two greats of 17th-century math, Blaise Pascal and Pierre de Fermat , corresponded about the problem in a famous series of letters . They not only discovered the correct way to share the pot but also created the foundations of modern probability theory in the process. To this day, the solution is the basis for risk assessments of all kinds, helping us make smarter bets on everything from buying a stock to insuring a home along a coastline. In 1494, Italian mathematician Luca Pacioli first took an early crack at the problem of points in his textbook , the title of which translates to Summary of Arithmetic, Geometry, Proportions and Proportionality . He proposed that players should split the pot in proportion to how many points they each have at the time of interruption. In our running example, you have won eight of the 14 flips thus far. According to Pacioli’s solution, you would take eight fourteenths of the pot, which equals about $57.14. I would take the remaining six fourteenths. The solution sounds sensible, but more than 50 years later, Niccolò Fontana “Tartaglia” noticed that it failed in cases where the point ratio between players was extreme. What if the interruption came after a single coin toss? Under Pacioli’s rule, the winner of that one flip would take the entire pot, even though the game was far from decided. This would be clearly unfair—and the problem of points is all about seeking a fair split. On supporting science journalism If you're enjoying this article, consider supporting our award-winning journalism by subscribing . By purchasing a subscription you are helping to ensure the future of impactful stories about the discoveries and ideas shaping our world today. Tartaglia proposed an alternative method. Imagine that, in our hypothetical game, you’re ahead by two flips. You have one fifth of the 10 flips needed to win. Because that’s one fifth closer to the goal, Tartaglia reasoned that you should get your full stake back and take one fifth of my stake: the original $50 you put in plus one fifth of my $50, for a total of $60. This new approach seems to operate more equitably, especially at the extremes. Now if the game got interrupted after one flip, then the winner of that flip would take only one tenth of their opponent’s stake instead of all of it. While Pacioli’s method rewards the winning player based on the size of their lead relative to the number of flips thus far, Tartaglia’s method rewards them based on the size of their lead relative to the total length of the game. Tartaglia doubted his own innovation, though, writing , “In whatever way the division is made there will be cause for litigation.” He believed that no perfect mathematical solution existed and that the problem was designed to cause arguments. It turns out he was at least right to doubt his own solution. Imagine that one player had 199 points and that the other had 190 points during a game with a goal of 200 points. Tartaglia would award the first player only nine two-hundredths of their opponent’s stake, or $2.25, even though their opponent would need 10 tails in a row to win. The first player’s measly payout hardly seems to reflect their overwhelming likelihood of winning at that stage of the game. The debate went nowhere until the mid-17th century, when a French gambler and intellectual socialite enlisted the help of mathematician Blaise Pascal . Pascal immediately saw that the solution lay not in the score at the time of interruption but in the future possibilities of the score, and he wrote to his friend and fellow mathematician Pierre de Fermat to help him prove it. Their correspondence yielded two completely unique approaches to the problem. Amazingly, their disparate approaches always arrived at the same solution. This convergence sealed their confidence in their results, and mathematicians now agree that they had found the fairest way to divide the stakes. Fermat’s solution was to look at all possible continuations of the game after the point at which it was interrupted and count the number of those continuations that result in a win for each player. A fair percentage of the total pot awarded to a player should be the percentage of possible futures in which that player wins the game. Take our recent example game’s score of eight to six with a goal of 10 points; Fermat would notice that the game must end within five coin flips. If the first player won one flip and the second won three, then they would be tied at nine to nine, and the game would end on the next flip. If the game stopped at this point, Fermat’s method for dividing the pot would list all possible outcomes of those five coin flips and then tally the ones that amassed 10 points for each player. In some of those possible futures a player will win in fewer than five flips, but that’s okay: we can imagine that if the game ends early, the players flip the coin a few extra times just to make the accounting easier. The figure below reveals the answer to our puzzle. The first player wins in 26 out of the 32 possible continuations of the game, so they are due 26 / 32 = 81.25 percent of the pot, or $81.25. Fermat’s solution, though elegant, suffered from one major drawback: What if there were too many possible continuations to list? Even if only 20 flips remain in our game, we would have to consider more than a million imaginary futures to uncover a fair split. Pascal offered a genius answer and, in the process, provided the earliest reasoning on what would become the concept of expected value , which remains a fundamental pillar of modern probability theory. Pascal’s method begins with an uncontroversial claim: if the game is tied at the time of interruption, then the two players should split the pot equally. If the score were nine to nine when the interruption happened, then each player would take $50 back. Now we work backward from there. If the score were nine to eight in favor of the first player, Pascal’s approach would ask what would happen after one more flip. There would be a 50 percent chance that the player in the lead would win that coin flip, reach 10 points and take the entire pot. On the other hand, there would be a 50 percent chance that the other player would win