Plain and simple, they represent what people are interested in, based not on small statistical samplings, but on the actual behavior of millions of IMDb users. Unlike the AFI 100
IMDbPro uses proprietary algorithms that take into account several measures of popularity for people, titles and companies. The primary measure is who and what people are looking at on IMDb.
The rankings are updated on a weekly basis.
Sort of, users vote through their actions, every time someone visits an IMDb page about one of the over 3 million titles and over 6 million people in the database, we record that "pageview". It is the sum total of these pageviews that form the foundation of the STARmeter
No, IMDb has more than 250 million unique monthly visitors. The STARmeter
Some ranking systems are based on the opinion of one "expert" or a selected group of "experts". Others use statistical samplings of a few hundred or a few thousand people, offering them a controlled set of choices, and ranking only within that set.
We, on the other hand, offer a nearly unlimited set of choices with over 3 million titles and over 6 million people to choose from, and base our rankings on the behavior of a sampling group of more than 250 million unique monthly visitors in a real-world environment.
Fluctuations in STARmeter and MOVIEmeter values are normally more evident in people or films with lower rankings. STARmeter rankings are based on several statistical indicators,including the frequency and number of people who access a person's page or credits on IMDb. MOVIEmeter works in the same way, but ranks titles instead of people.
As is often the case when statistical calculations are performed on such a large sample of data, even small variations in popularity may produce significant changes in rank.
When an individual is very popular, the average interest of users over time remains fairly constant; with less popular names, it's more common to have sudden and sharp increases or decreases in the number of people who visit
their page or see their credits, which explains the higher variance in the STARMeter