Find a famous person
[3061] Find a famous person - Find the first and the last name of a famous person. Text may go in all 8 directions. Length of words in solution: 5,10. - #brainteasers #wordpuzzles - Correct Answers: 49 - The first user who solved this task is On On Lunarbasil
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Find a famous person

Find the first and the last name of a famous person. Text may go in all 8 directions. Length of words in solution: 5,10.
Correct answers: 49
The first user who solved this task is On On Lunarbasil.
#brainteasers #wordpuzzles
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Magic Window

Two guys are sitting at a bar.

"You know why I love this bar?" asks the first one.

"No," says the second guy. "Why do you love this bar?"

The first guy points at the window, which is six stories above the ground. "It has a magic window," he says. "You jump out of that window, and you can fly."

The second guy just shakes his head. "Shut up."

"No," says the first guy. "It really is a magic window. I'll prove it to you."

So the first guy gets down from his bar stool, runs at the window, jumps out of it, and flies. He flies around the building twice, up and down, and finally comes back in. He walks to his barstool, and takes a sip of his drink. "See?" he says.

The first guy looks confused. He looks at his drink. "I must be drunk," he says.

"Still don't believe me?" asks the second guy. "I'll show you again." He gets down from his stool, runs and jumps out of the window again. This time he performs some impressive aerial acrobatics, spins, flips, dives. When he finally comes back in, the second guy is staring at him, slack-jawed.

"Wow," says the second guy. "A magic window." He gets off his barstool, takes a running jump out of the window, and promptly plummets to his death. The first guy starts laughing.

The bartender comes over to the first guy with a stern look on his face. "Superman, you're a real asshole when you're drunk."

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Thomas Bayes

Died 17 Apr 1761 (born 1702). English theologian and mathematician who was the first to use probability inductively and who established a mathematical basis for probability inference (a means of calculating, from the frequency with which an event has occurred in prior trials, the probability that it will occur in future trials). This became the basis of a statistical technique, now called Bayesian estimation, for calculating the probability of the validity of a proposition on the basis of a prior estimate of its probability and new relevant evidence. Later statisticians cite disadvantages of the method that include the different ways of assigning prior distributions of parameters and the possible sensitivity of conclusions to the choice of distributions.
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