My Oscars Predictions | Tosh Show

Quick Overview

Daniel Tosh announces his picks for the Oscar Best Picture nominees, revealing his personal favorites were "Sinners" and "Train Dreams" while expressing disdain for films like "Poor Things" and the original "Frankenstein" remake, ultimately concluding that none of the nominated films deserved to win based on his criteria.

Key Points: Daniel Tosh predicts that "Sinners" will win Best Picture, despite noting his father, RFK Jr., seemed to dislike it. Tosh rated "Sinners" and "Train Dreams" as two-for-two (both good) in his personal viewing, while calling "Poor Things" and the new "Frankenstein" remake bad or mediocre. Tosh expresses that he has never seen the original "Frankenstein" film, but notes that the 2014 remake was nominated despite being a dark comedy about a white character who is actually a racist, which he found to be a much better character than the actual monster. Tosh praises the casting in "Poor Things," specifically mentioning Emma Stone's performance, even though he admits he hasn't seen the movie. Tosh criticizes the Oscar-nominated film "Train Dreams" for having a plot where the main character's life seems to be an elaborate setup for a single, sad outcome. He jokingly suggests that the Oscar committee should only select films where the main characters are dogs, or perhaps only one two-way tie between "Sinners" and "Train Dreams." Tosh concludes the segment by stating that he hopes the Academy learns from the nominated films and does not reward movies that are merely politically correct or feature unlikeable characters.

Context: Daniel Tosh hosts an episode of his podcast, "Tosh Show," where he reviews and offers comical commentary on the films nominated for the Academy Award for Best Picture. He discusses various nominees, including "Sinners," "Train Dreams," "Poor Things," and the new remake of "Frankenstein," often contrasting their critical reception with his own subjective, humorous takes on their themes and characters. The segment is structured as a mock awards show prediction session.