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

TASTE: I enjoy classic movies with a touch of mystery and suspense.
REASON: I rated movies like "Poltergeist III" (1988) and "Cape Fear" (1991) highly, which are known for their thrilling and suspenseful elements.

TASTE: I appreciate light-hearted comedies with a mix of romance.
REASON: Movies such as "Sister Act 2: Back in the Habit" (1993) and "When Harry Met Sally..." (1989) received high ratings from me due to their comedic and romantic storylines.

TASTE: I have a fondness for adventure and fantasy films.
REASON: Movies like "Willow" (1988) and "Planet of the Apes" (1968) captivated me with their imaginative worlds and thrilling adventures.

TASTE: I enjoy crime dramas with intense storytelling.
REASON: Movies such as "Carlito's Way" (1993) and "In the Heat of the Night" (1967) received high ratings from me because of their gripping crime narratives.

TASTE: I appreciate thought-provoking science fiction movies.
REASON: Films like "Contact" (1997) and "Three Kings" (1999) intrigued me with their exploration of futuristic concepts and societal issues.

Now, let's analyze the user's tendencies in giving high and low ratings:

HIGH RATINGS: The user tends to give high ratings (above 3) to movies that fall into genres such as mystery, suspense, comedy, romance, adventure, fantasy, crime drama, and thought-provoking science fiction.

LOW RATINGS: The user tends to give low ratings (below 2) to movies that may not align with their preferred genres or fail to engage them in terms of story, characters, or overall enjoyment.

Please note that these conclusions are based solely on the given movie-rating history and may not represent the user's complete movie taste.