When does using a 5-star rating system turn out to be the same as using a binary one? Given a dataset where 4500 reviews of consumer goods, provided via a 5 star rating system, have the following distribution:

*

*18% between 1 and 3 stars


*82% between 4 and 5 stars
Is it "right" to think that under similar conditions (i.e. same type and selection of goods) a binary rating system could yield similar results (18% thumbs down and 82% thumbs up) but with the advantage for the users to take less time to rate?
I assume that a binary rating system is quicker to use in comparison to 5 item-scale as mentioned here:
Why would Netflix switch from its five-star rating system to a like/dislike system?

Some people will only give a thumbs up if they view the product at a $5$. Some will for any rating of $4$ or higher. Some will for any rating higher than $1$. Some people will oppose such a rating system, preferring to be able to make a star-like rating. When you do the binning yourself, you get to make that choice.
I have my reservations about binning when you have a spectrum like you have, but I think the issues of human psychology will influence your data collection, yes.
