Vetting

How to Spot Bought Likes: When the Likes Stop Following the Views

A post with 887K views and one with 2K views got the same 1,250 likes. Real likes rise with reach. When they flatline across 44 posts, they're bought.

By Creator Receipts · July 8, 2026 · 6 min read

A satirical blister-pack labeled 'Buy 1,250 Likes' with nine compartments all offering the same 1,250 likes.

The short version: Real likes rise and fall with reach — a post seen by more people gets more likes. So when a creator's likes land on the same number no matter how many people saw the post, the likes aren't real. One flat post is a coincidence. Forty in a row is a receipt.

Key Takeaways

  • Real engagement scales with reach. If likes stay flat while views swing wildly, the likes were bought.
  • We audited a 238K creator's last 44 reels: views ranged from 2,163 to 886,954 — a 410× spread — yet 35 of 44 posts got between 1,200 and 1,600 likes.
  • Her biggest post (886,954 views) got 1,285 likes. One of her smallest (2,163 views) got 1,224. Statistically, reach barely moved her likes at all (correlation r = 0.16).
  • You can check this yourself in 30 seconds. Or run a free receipt and see it plotted for you.

Here's the fastest fraud check in the book, and it fits in one sentence: real likes follow reach.

A post that lands in front of 200,000 people picks up more likes than a post seen by 2,000. Not always in a perfect line, but directionally, always — more eyeballs, more taps. It's the most basic law of a real audience. Which makes it the most useful law for catching a fake one. Because bought likes don't know how many people saw the post. They just show up, on schedule, at whatever number the seller promised.

So when the reach goes up and the likes don't, you're not looking at a quiet post. You're looking at a subscription.

The one rule: real likes rise with reach

On a genuine account, the biggest posts get the most likes. A creator's viral hit pulls ten or twenty times the likes of their sleepy Tuesday post, because ten or twenty times as many people saw it. The two numbers move together. That relationship is the fingerprint of a real audience — and it's almost impossible to fake, because faking it would mean buying a different, precisely-scaled amount of likes for every single post.

Nobody does that. They buy a package: a flat number of likes that fires on everything they post. And a flat number is exactly what gives them away.

What bought likes actually look like

We ran a 238K-follower lifestyle creator's last 44 reels through Creator Receipts. Her views were all over the map — from 2,163 on a quiet post to 886,954 on a viral one, a 410-fold difference. If her likes were real, they'd swing across a huge range too.

They didn't. 35 of her 44 reels landed between 1,200 and 1,600 likes. Her median post got 1,301. Here's every reel, plotted by views (bottom, on a log scale) and likes (side):

The likes don't move, no matter who's watching 44 reels · each dot is one post · views on a log scale 2K10K100K1M 02K4K6K8K views per reel (log scale) the bought baseline — about 1,250 likes on nearly every post 886,954 views …still 1,285 likes 2,163 views → 1,224 likes ↑ the few that rise are the only posts with real likes Source: Creator Receipts audit · handle redacted
Views span a 410× range; likes sit on a flat line near 1,250. On a real account this cloud would climb left-to-right.

Look at the two ends of that line. Her biggest reel pulled 886,954 views and 1,285 likes. One of her smallest pulled 2,163 views and 1,224 likes. The bigger post reached 410 times more people and earned 5% more likes. That's not a quiet post or a lucky one. That's a like count that has no idea how many people showed up — because someone set it in advance.

Why one flat post proves nothing — but 44 proves everything

Any single post can be a fluke. A creator might have one weirdly low viral hit, or one post that overperformed. Noise happens. That's why you never call fraud off one number.

But we're not looking at one number. We're looking at 44, and the flatness holds across all of them. Statisticians measure how tightly two things move together with a correlation score from 0 (no relationship) to 1 (perfect). For a real creator, likes and reach usually score high — they climb together. For this account, views and likes score 0.16. Reach explains almost none of her likes. Split her posts in half and the point lands even harder: her lower-reach half averaged 1,227 likes; her higher-reach half got 4.6× more views and just 1,406 likes — a rounding error, not a jump. Across a sample that size, a flat line isn't bad luck. It's a purchase order.

How to run this check yourself in 30 seconds

You don't need a tool for the quick version. Open any creator's Reels and compare their biggest post to a middle-of-the-road one:

  1. Find their most-viewed reel and note the likes.
  2. Find a typical, lower-view reel and note the likes.
  3. If the view counts are wildly different but the likes are close, be suspicious. Real audiences don't do that.

That's the manual gut-check. The full version — every post plotted, the correlation scored, the baseline flagged — is exactly what a Creator Receipt does automatically, so you're not eyeballing it before you wire someone money. For the wider vetting checklist, see our guide to spotting fake followers, and for why the standard engagement rate misses this entirely, see how Instagram's engagement rate hides fraud.

Before you pay a creator, run a free receipt on their handle and check whether their likes actually follow their reach. It takes less time than reading their media kit.

Because a bought audience can fake a big number. It can't fake the relationship between two of them.

Run a free receipt on any creator — just your email. No card, no trial.

Frequently asked questions

How can you tell if an influencer bought their likes?
Compare likes to reach across many posts. On a real account, bigger posts get more likes. If likes stay flat while view counts swing widely, the likes are almost certainly bought. In one audited account, a 886,954-view reel and a 2,163-view reel both got about 1,250 likes — a near-impossible result organically.
Is a flat like count always fraud?
Not from a single post — one flat result is noise. The signal is consistency across a large sample. When 35 of 44 posts land in the same narrow like range despite a 410× spread in views, that's a manufactured baseline, not coincidence.
How many posts do you need to check?
Enough to rule out luck — a couple dozen is plenty. Across 44 posts, this creator's views and likes had a correlation of just 0.16 (near zero), which no real account sustains. A quick manual version: compare the likes on a creator's biggest and smallest recent posts.
Does a high like count mean an account is real?
No. A high like count is the easiest thing to buy. What's hard to fake is likes that scale correctly with reach. Judge the relationship between likes and views, not the raw like number. Run a free receipt to see it plotted.
Sign up for updates

Get the receipts in your inbox.

New data on influencer pricing, fake engagement, and how to vet creators. A few times a month, no spam, unsubscribe anytime.