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statistics and probability

statistics and probability

The Probability of Wealth

The Probability of Wealth

"Everyone in the market chases information. James Smith already knows the odds." James Smith is seventeen, broke, and invisible — a scholarship kid from Lyon who spends his lunch breaks reading annual reports no one asked him to read. He has no connections, no capital, and no name worth mentioning in the halls of French finance. But he has one thing nobody can see: a plan that stretches beyond his own lifetime. He doesn't want to be rich. He wants to build something permanent — a legacy so solid that his name will carry weight long after he's gone, and his children's children will never know what it means to start from nothing. Then a lab accident changes everything. A routine errand at a research facility. An equipment failure. A flash of white. When James wakes up in a hospital bed two days later, he notices something no one else can: a silent, translucent panel at the edge of his vision. It doesn't speak. It doesn't explain. When he focuses on any investment, it shows a single number — a probability score. Nothing more. He doesn't know what it is. He doesn't know why it works. He only knows it's his — and he will take that secret to his grave. What follows is not a story of a boy who got lucky. It is the story of a man who took one edge and built an empire from it — one calculated position at a time. From the trading floors of Euronext Paris to the boardrooms of global conglomerates, James moves in silence, leaving behind only results that no one can explain and a reputation that makes even the oldest money in Europe uncomfortable. He will become the greatest investor France has ever produced. And nobody — not his closest friend, not the woman who sees him most clearly, not the institutions that fear him — will ever know why. The probability is always in his favour. The reason is always his secret.
Urban
32 Chs
The Villainess Now Has the Whole Galaxy on Their Knees

The Villainess Now Has the Whole Galaxy on Their Knees

Sophie Wexler transmigrated into a novel about The Galaxy, becoming the vicious, F-rank Healer-class cannon fodder. The original owner constantly caused trouble and made things difficult for the female lead, earning her the hatred of the entire internet. Upon transmigrating and seeing that everything had been ruined by the original owner, Sophie's only thought was: "What kind of nightmare start is this?!" To escape the original owner's fate, Sophie Wexler worked diligently, conducted herself conscientiously, stayed away from the male and female leads, compensated the soldiers harmed by the original owner, and strove to be a model citizen of The Galaxy, absolutely refusing to be the cannon fodder 'offed' by the Imperial Marshal! Broke and powerless, Sophie also had to support a man who'd been innocently dragged into the original owner's mess. She had no choice but to hustle. She started live streaming, became a masked singer, and held concerts. At first, netizens were scornful: 【Tsk, how good can she possibly sound?】 Later, the netizens were forced to eat their words. 【Damn, that's so good I'm on my knees!】 【What the hell, the violent episode of my Disorder Period has actually been soothed?!】 【The toxins in my Spiritual Sea have actually been eliminated!】 Her live streams went viral, the masked singer became a huge sensation, and tickets for her concerts were snapped up across The Galaxy. Sophie was content, thinking, "This time, I must have finally escaped the original owner's fate, right?" But what do you know, the man I've been doting on and supporting is actually the Imperial Marshal?! --- One day, Yancey Forrest came home to find that the boisterous person who was always claiming to be good to him was gone. His eyes darkened. Provoke me and then think you can leave? After catching her, Yancey traced his fingertips along Sophie's neck, smiling gently. "Why run?" Sophie trembled. "You... you're the Imperial Marshal?" His identity exposed, Yancey Forrest took her hand and slowly placed it on his own neck ring. "You know I won't kill you, don't you?"
Sci-fi
117 Chs
Increases the probability of 10 to 11
The probability of a normal non-safe buff was between 10% and 30%, depending on the equipment's quality, level, enchantment, and strengthening level. The probability of a safe buff was between 3% and 10%, but there was no separate probability of a 10 to 11 buff.
1 answer
2026-07-06 08:20
2 dice probability
For two dice, there were several possibilities: 1. ** Single number probability **: - Each die had six sides, and the numbers were 1, 2, 3, 4, 5, and 6. When a die is rolled, the probability of each number appearing is 1/6. When two dice were thrown, for example, the probability of both dice rolling a 1 was 1/6. Therefore, the probability of both dice rolling a 1 (the combination of 1 and 1) was (1/6)×(1/6)=1/36. Similarly, any particular combination of numbers (such as 3 and 5) has a probability of 1/36. 2. ** Point sum probability **: - The sum of the points was 2 (1 + 1), and there was only one possibility. The probability was (1/6)×(1/6)=1/36. - The sum of the points is 3 (1+2 or 2 + 1). There are two possibilities, and the probability is 2/36. - The sum of the points was 4 (1+3, 2+2, 3+1). There were 3 possibilities, and the probability was 3/36. - The sum of the points is 5 (1+4, 2+3, 3+2, 4+1). There are 4 possibilities, and the probability is 4/36. 3. ** Dice size probability (1 - 6 is small, 7 - 12 is big)**: - There were a total of 6x6 = 36 combinations of the two dice. Among them, there were 15 situations where the sum of points was 1 - 6 (small), and 21 situations where the sum of points was 7 - 12 (large). However, since it was impossible for two dice to have a point, the probability of a small point appearing was 5/11 (about 45.45%), and the probability of a big point appearing was 6/11 (about 54.55%). 4. ** The probability that the sum of the two dice numbers is odd (assuming the first die numbers are 1, 2, 3, 3, 5, 6, and the second die numbers are 1, 2, 4, 4, 5, 6)**: - For the first die, the probability of an odd number appearing was 4/6 = 2/3, and the probability of an even number appearing was 1/3. For the second die, the probability of an odd number appearing was 2/6 = 1/3, and the probability of an even number appearing was 2/3. To get the odd sum, there are two situations: if the first die is odd and the second die is even, the probability is 2/3×2/3 = 4/9; if the first die is even and the second die is odd, the probability is 1/3×1/3 = 1/9. Therefore, the total probability was 4/9+1/9 = 5/9. Hurry up and click on the link below to return to the super classic "Lord of the Mysteries"!
1 answer
2026-07-31 04:05
Baidu statistics
The Baidu statistics app was a statistics software officially launched by Baidu statistics. It provided professional, free, and efficient mobile statistics and analysis services for developers, helping to fully realize data-based and refined operations. It had a variety of functions, such as adding a dashboard to the application list to view the total contribution of the application at any time; selecting reports to organize and display all the reports and switching at any time; trend analysis to intuitively display the total of important indicators; retained user data can be fully displayed by sliding; column chart labels are clear and easy to understand the meaning of the graph; there are special reports for games, which can accurately obtain player payment and consumption data. The features of the software included audience insight (based on Baidu's massive data accumulation and multi-dimensional analysis of user portraits), terminal analysis (device distribution at a glance), traffic source analysis (monitoring different promotion data), and so on. However, on November 9th, 2024, a message appeared: "Baidu statistics Failed to fetch, please return to the main page." While waiting for the TV series, he could also read the exciting content related to this site!
1 answer
2026-07-20 11:21
What is the significance of 'Statistics Canada Turning Statistics into Stories'?
It's important as it makes data more accessible and understandable. By turning statistics into stories, Statistics Canada can engage a wider audience. People are more likely to remember and relate to information presented as a story rather than just raw data.
3 answers
2024-12-08 20:47
How does Statistics Canada turn statistics into stories?
They might use real - life examples. For example, if there are statistics about housing prices, they could tell the story of a family trying to buy a home in a high - priced market.
1 answer
2024-12-09 17:00
How useful is the 'Cartoon Guide to Statistics' for understanding statistics?
It's quite helpful. The cartoons make complex statistical concepts more accessible and engaging.
2 answers
2025-03-28 03:56
How useful is 'The Manga Guide to Statistics' for understanding statistics?
It's quite helpful. The guide presents statistics in a visually engaging and easy-to-understand way through manga.
2 answers
2025-03-29 14:35
How useful is the 'Cartoon Guide to Statistics' for understanding statistics?
It can be quite helpful. The cartoons make complex statistical concepts more accessible and engaging.
3 answers
2025-05-24 23:21
Destiny, 2000 words probability
I'm not sure what exactly you mean by the '2,000-word probability of fate' you mentioned. If you can provide more context or detailed information, I will try my best to help you. While waiting for the anime, you can also click on the link below to read the classic original work of The King's Avatar!
1 answer
2024-10-21 11:43
Hegemony reward probability
"We can come to the following conclusion: the probability of an orange card appearing in the Hegemony Card Pack is 5.6%. However, the exact number of orange card draws was not certain, because different card packs had different guarantee mechanisms. Some card packs guaranteed an orange card after a certain number of draws, while others did not have a minimum number of draws. According to the information provided, the probability of obtaining other Hegemony rewards cannot be known.
1 answer
2024-12-25 00:09
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