Why a big following feels safe
When we are unsure, we look at what other people did. The psychologist Robert Cialdini calls this social proof, one of his six principles of persuasion, and it is strongest when the crowd looks like us. A page with 48,000 followers feels like 48,000 people who checked before you did.
The shortcut also feeds itself. In a well-known experiment with 14,341 people, showing how often songs had already been downloaded widened the gap between hits and the rest and made success harder to predict; quality only partly decided which songs won. In another, on a social news site, adding an early positive rating made later positive ratings 32% more likely and lifted final ratings by 25% on average.
So a big number is not only something you read. It is something that grows because people read it. That is exactly why it is worth faking.
What a follower count shows, and what it does not
What it shows
- That an account has existed long enough to collect attention
- That its photos, offers or giveaways interest people
- Roughly how far a post will travel
What it does not show
- Who runs the account, or whether that has changed
- Whether anyone who followed ever bought or met them
- How they behave when an order goes wrong
- Whether the followers are people at all
Following someone costs nothing and promises nothing. People follow for a nice photo, a contest or a friend's tag. None of those followers has vouched for the seller's honesty, because no one asked them to.
The crowd can be bought
In January 2019 the New York Attorney General settled with Devumi, a company that sold followers, likes and views on platforms including Twitter and YouTube. The activity came from bots and from single people running many fake accounts, and some of those accounts copied real people's names and photos without their knowledge. The office called it the first finding by a law enforcement agency that selling fake engagement is illegal deception.
In the US, the FTC's rule on reviews and testimonials, in force since 21 October 2024, also bans buying or selling fake indicators of social media influence, such as bot followers or views, when they are used to misrepresent influence for a commercial purpose. A rule like that exists because the trade is real and ordinary.
Spotting fake followers from the outside is guesswork. The better question is not whether the crowd is real, but whether the crowd answers what you need to know. Usually it does not.
Who it fails, and how
It fails the buyer who pays an Instagram boutique in full because the page looked established, in Mumbai or in Ohio alike. It fails the person who trusts a match because their profile links to an account with a big audience, which may belong to someone else entirely. And it fails honest small sellers, who look weaker next to a page that bought its numbers.
Notice the move. A question about who they are gets answered with how many people watch them. That is not proof of a scam, but it is not an answer either.
What works instead
We think the useful questions are the ones a count cannot answer. Who is this, checked somewhere they do not control? What is their record with people who actually paid them? And what happens if you ask to pay in a way that protects you?
- Look for named buyers you can trace, with specific details, not a stream of hearts and fire emojis.
- Prefer a payment route with protection over a full advance to a stranger. Our guide to Instagram shopping scams in India covers this in detail.
- Ask them to show who they are before you pay or meet. Plenty of honest people will; a page that only points back to its numbers has told you something too.
- Give a small, new seller the same checks, not more suspicion. Everyone starts at zero.
Questions
Isn't a big following better than nothing?
How can I tell if someone's followers are fake?
Should I distrust a seller with very few followers?
We built Realr around the question a follower count cannot answer: someone proves who they are once, and shares that claim, not their documents, with anyone who asks before money moves.
Ask someone to verifySources
- New York Attorney General: settlement with sellers of fake followers and likes (Devumi), 30 January 2019
- FTC: final rule banning fake reviews and testimonials, including fake social media indicators (August 2024)
- FTC: The Consumer Reviews and Testimonials Rule, questions and answers
- Salganik, Dodds and Watts (2006), Experimental study of inequality and unpredictability in an artificial cultural market, Science
- Muchnik, Aral and Taylor (2013), Social influence bias: a randomized experiment, Science
- W. P. Carey School of Business, Arizona State University: Cialdini on social proof



