

I asked ChatGPT about existing experiments on this matter. Sheep behavious is real:
Key Studies: The “Hidden Votes” Experiment (Muchnik et al., 2013)
One of the most well-known studies on this topic was published in Science by Muchnik, Aral, and Taylor. Researchers manipulated upvotes and downvotes on a social news site (similar to Reddit) with 100,000+ users. When an initial upvote was artificially added to a post, it increased the likelihood that others would upvote it by 32%. Downvotes did not have the same effect—they were often corrected by other users. The experiment suggests strong social influence in voting behavior. “Bandwagon Effect in Online Voting” (Lorenz et al., 2011)
This study found that when people saw public votes before casting their own, they converged towards the majority opinion. The effect was particularly strong in subjective judgments, like ratings of art or music. YouTube and Social Proof (Salganik, Dodds, & Watts, 2006)
In a controlled music experiment, researchers manipulated download counts for different songs. Songs with high fake download numbers became even more popular, showing strong herding behavior. “Hidden Likes” Experiment on Instagram (2019)
Instagram conducted real-world A/B testing by removing visible like counts in several countries. Initial reports suggested reduced social pressure, but Meta has not released detailed statistics. What Happens When Votes Are Hidden? Some studies show that without visible votes, people rely more on personal judgment instead of following the herd. However, others found that herding still happens when other subtle signals (such as comments, engagement, or reposts) remain.
You base your answer on only first study when I pasted four examples? And potentially there is more?