As an AI language model, I can analyze the movie taste based on the given rating history. Here are some possible TASTE-REASON pairs for the user's movie preferences:

TASTE: Action-packed thrillers
REASON: I rated movies like "Lethal Weapon 4" and "Terminator" highly, indicating my preference for action-packed movies with thrilling plots.

TASTE: Dramatic and emotional films
REASON: I gave high ratings to movies like "Legends of the Fall" and "Magnolia," suggesting that I enjoy movies with intense emotions and dramatic storylines.

TASTE: Quirky and unconventional comedies
REASON: Movies such as "Mystery Men" and "Mars Attacks!" received high ratings from me, indicating my appreciation for comedies that are offbeat and unconventional.

TASTE: Independent and art-house films
REASON: I enjoyed movies like "Dead Man" and "Crumb," which suggests that I have a taste for independent and art-house films known for their unique storytelling and visual styles.

TASTE: Classic and iconic movies
REASON: Movies like "Patton" and "Who Framed Roger Rabbit?" received high ratings from me, indicating my appreciation for classic and iconic films that have stood the test of time.

Now, let's analyze the user's tendency to give high and low ratings:

HIGH RATINGS: The user tends to give high ratings to movies that are action-packed, dramatic, quirky, independent, and classic. They appreciate thrilling plots, intense emotions, unconventional comedies, unique storytelling, and iconic films.

LOW RATINGS: The user has not given any ratings below 2, so we cannot draw any conclusions about their tendency to rate movies poorly.

Please note that these conclusions are based on the given rating history and may not necessarily reflect the user's complete movie preferences.