Amazon uses an offline item to item comparison table. Every so often it will collect all items viewed or bought by people who bought this product to make a table of what to recommend. If an item is added right before this information is pulled, it's likely to have a small sample size. This will then remain til the next update. So it's possible this was based off only a handful of people making the results very skewed and that it hasn't updated since.
Source: my professor who helped design Amazon's algorithm
I won't say their name because that would indirectly identify me but they left Amazon to teach a few years ago so this information could absolutely be outdated.