Four blue lobsters, one yellow, and one albino lobster have been caught in the Canadian Maritimes in the last two weeks. To put that into perspective, the odds of catching a blue lobster is 1 in 2 million, a yellow is 1 in 30 million, and an albino is 1 in 100 million! The CBC puts it into perspective.
According to the Many Worlds Interpretation of quantum physics, we live in an infinite web of alternate timelines. It's a serious claim that carries some rather serious scientific, philosophical, and existential baggage. And here are the nine weirdest possible implications.
The laws of probability seems simple at first thought, but scratch the surface and their inner truth can be rather more counterintuitive. This video describes one of those situations—and the answer might prove more useful than you think.
'Rational expectations' is a term commonly thrown around by economists trying to work out why people do stuff. It's based on the idea that individuals weigh up the pros and cons of a certain action, and use that to make a decision. It's one of the fundamental underpinnings of a free market economic model, but as this…
When you throw a coin in the air to make a decision, you'd expect the outcome of the toss to be 50-50 whether you catch it or let it land on the ground. But, according to randomness expert Persi Diaconis, that's simply not true.
The Monty Hall Problem is a fantastic probability brain teaser based on the American television game show Let's Make a Deal—and this video is the best explanation of it you're likely to find.
You are on a game show, and get to choose between three doors. Behind one is a grand prize. Behind the others there's nothing. But there's a twist — and it can double your chances of winning. Welcome to the Monty Hall Problem.
When we are choosing which action to take, one of the most basic calculations which guide us is, "How likely is it to lead to one option or another." We need to think of all possible outcomes, and the rough probability of each one occurring. There is a problem with this. We are not great at assessing probability. …
There's a simple cognitive test that humans tend to fail— at least, they fail when their performance is compared to the performance of rats. Why? Because our brains screw us up. But a specific brain injury can bring us up to rat-level.
Ever been asked to settle something beyond a reasonable doubt? Ever taken part in a cause in which the evidence is overwhelming? Ever been completely sure you're right? Sure you have. Plenty of times. So many times that occasionally, you have to have been wrong.
Statistics are used by scientists, medics and corporate types every day to predict what the future holds—but that doesn't always mean they do it right. In this video, Sci Show explains some of the quirks of statistics, and how you can use them to work out the odds of pretty much anything.
In 2009, the Bulgarian lottery turned the same number sequence twice within five days. Naturally, this made people a tad suspicious. After all, the odds of the same number sequence appearing twice in a row are millions to one against. But actually, it wasn't that suspicious at all.
When stepping into a casino, it can be useful to have a clear sense of how probability works and how it applies to the games that you're playing. In today's discussion about gambling however, we're reminded that a gambler's fortune can depend on more than just random odds.
One of the famous intuitive mistakes in probability comes from the simple question, "Do boys have more sisters than girls do?" A quick analysis of the situation may prompt you to say yes. A more in-depth look might change your mind.
Blaise Pascal was 17th century genius who invented the mechanical calculator. Pierre de Fermat is famous for a theorem that took three hundred years to prove. What could bring these two minds together? A washed up gambler, down on his luck.
Animator Shuyi Chiou and the folks at CreatureCast give an adorable introduction to the central limit theorem – an important concept in probability theory that can reveal normal distributions (i.e. bell curves) across data that does not appear to fit a normal distribution curve.
Are you convinced that the shuffle mode on your iPod is messing with your mind? Or that certain numbers are bound to come up in the next lottery? If yes, you may be holding on to some serious misconceptions about randomness. Here’s what it means for something to truly happen by chance.
Take a very good look at the arrows on this this Monopoly board. It shows all the various ways you can end up in jail. That tidbit alone should fundamentally alter the way you look at this classic game. Here's why — and more.
We think that getting more information about a situation helps us make more accurate predictions. There are times, though, when some well-chosen information can wreck our rationality. All we need is a good stereotype.