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  2. Fast X - Wikipedia

    en.wikipedia.org/wiki/Fast_X

    Fast X. Fast X (also known as Fast & Furious 10) is a 2023 American action film directed by Louis Leterrier from a screenplay written by Dan Mazeau and Justin Lin, both of whom also co-wrote the story with Zach Dean. It is the sequel to F9 (2021), the tenth main installment, and the eleventh installment overall in the Fast & Furious franchise.

  3. List of films with a 100% rating on Rotten Tomatoes - Wikipedia

    en.wikipedia.org/wiki/List_of_films_with_a_100...

    For example, Lady Bird had a 100% rating based on 196 positive reviews when a film critic submitted a negative review solely in response to the perfect rating. [7] To date, Lady Bird has a 99% rating with 397 positive reviews and four negative reviews. [8] Paddington 2 held a perfect rating from its release in 2017 until a film critic published ...

  4. Middle gray - Wikipedia

    en.wikipedia.org/wiki/Middle_gray

    Middle gray. 50% CIELAB lightness. ( Y = 18.4%) In photography, painting, and other visual arts, middle gray or middle grey is a tone that is perceptually about halfway between black and white on a lightness scale; [1] in photography and printing, it is typically defined as 18% reflectance in visible light. [2] [3]

  5. Fed officials mull whether rates high enough as inflation ...

    www.aol.com/news/fed-officials-mull-rates-high...

    May 10, 2024 at 12:00 PM. ... she did not directly address whether she feels the Fed may need to again raise its benchmark policy rate from the 5.25%-5.50% range that has been maintained since ...

  6. Ten percent of the brain myth - Wikipedia

    en.wikipedia.org/wiki/Ten_percent_of_the_brain_myth

    The 10% of the brain myth states that humans generally use only one-tenth (or some other small fraction) of their brains. It has been misattributed to many famous scientists and historical figures, notably Albert Einstein. [1] By extrapolation, it is suggested that a person may 'harness' or 'unlock' this unused potential and increase their ...

  7. Bayes' theorem - Wikipedia

    en.wikipedia.org/wiki/Bayes'_theorem

    Bayes' theorem is named after the Reverend Thomas Bayes ( / beɪz / ), also a statistician and philosopher. Bayes used conditional probability to provide an algorithm (his Proposition 9) that uses evidence to calculate limits on an unknown parameter. His work was published in 1763 as An Essay towards solving a Problem in the Doctrine of Chances.

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