Pull up any account's last 20 videos and sort them by views. Most people expect a gentle slope: a few good ones, a lot of average ones, a few weak ones. What you usually see is a cliff. One or two videos tower over the rest, and the rest look like a different account.
That shape has a name in this guide: the 10% rule. It is not a law of nature. It is a pattern we keep finding when we measure real accounts, and it changes how you should read every set of video results.
The 10% rule is the observation that a small share of an account's videos, around the top 10%, delivers most of its views. In our scan of 42 public accounts, the top 10% of Reels drove about 66% of total views, and the bottom half drove under 9%. It means averages hide how an account really performs, and the few videos that break out are where the lessons are.
What we found when we measured it
We scanned 42 public creator accounts across five niches (fitness, food, travel, tech and finance), taking the last 90 Reels from each, about 3,800 Reels in total. Everything came from public view counts, measured against each account's own history. The method and its limits are written up in our research on outlier Reels and retention. Three results matter here.
Treat these as the shape of the pattern, not as constants. They come from Reels, from 42 accounts in five niches, and a different sample would give different numbers. The direction is what to take away: results are concentrated, and the concentration is large.
What it looks like in one account
Here is an illustrative account with 20 videos. Two of them broke out. The other 18 did what the account normally does.
| Group | Videos | Views (thousands) | Share of all views |
|---|---|---|---|
| Top 10% (2 videos) | 2 | 250 and 150 | 74% |
| Everything else (18 videos) | 18 | 137 in total, about 7.6 each | 26% |
| All 20 videos | 20 | 537 in total | 100% |
Illustrative numbers, to show the logic.
Two videos, 10% of the output, delivered about 74% of the views. Now look at what the usual summary numbers say about the same account:
| Measure | Value | What it tells you |
|---|---|---|
| Average views | 26.9K | Over three times what a typical video earns. It describes no real video. |
| Median views | 7.5K | A typical day for this account. |
| Best video against the median | 33.3× | A huge outlier. |
| Next-best video against the median | 20.0× | Another outlier. Everything else sits near 1×. |
The average (26.9K) is a number no video came close to. It is the product of two big results pulling it upward. The median (7.5K) is the honest description of the account, and the two outliers are the story. This is the same reason outlier scores use the median, not the average.
Why views concentrate
Short-form platforms do not distribute videos evenly. They test a video with a small audience, watch how people respond, and spend more reach on the ones that hold attention. Most videos stop at the first test. A few keep getting shown, and once a video is in that loop its views can multiply instead of adding up. The result is a handful of videos that travel far beyond the follower base and many that stay at home. You can read more about that mechanism in our piece on retention and outliers.
What the 10% rule means for you
1. Stop judging an account by its average
When results are concentrated, the average is mostly a measure of the biggest hit. Use the median for a typical day and the outlier count for how often the account breaks out. That also stops you from writing off a good account because one video distorted the number.
2. Study the few, not the many
The ordinary videos tell you what an account does every day. The top 10% tell you what the audience rewarded. If you are researching a niche, your time is best spent on the outliers. The ordinary majority adds very little.
3. Judge a creator by how often they break out, not by one hit
A creator whose results come from a single video is a different bet from one with several outliers and a healthy median. If you are choosing who to work with, look at the median, count the outliers, and read how concentrated the views are. Our guide to Breakout Performance Rate covers the repeat-rate side.
4. Expect most of your own posts to be ordinary
If you post 20 videos and two break out, that is not a failing account. It is the normal shape. The useful questions are what the two had in common and whether you can make that happen on purpose.
5. Post enough to give the hits a chance
If results depend on a few videos, then the number of attempts matters. An account that tests more distinct ideas gives itself more chances to find the one that travels. Just make each attempt a real test of a different idea, not a copy of the last post.
How to calculate your own top-10% share
You need the last 20 to 30 videos of an account, with their views.
1. List the views and sort them from largest to smallest
Put each video's views in column B and sort the column in descending order.
2. Find the total and the top 10%
With 20 videos, the top 10% is the top two. With 30 videos, it is the top three. Add those up.
3. Read the result
The result is the share of all views that came from the top 10%. Compare it with the median to see the whole picture: a high share and a low median mean the account lives on its hits. A lower share and a median that sits close to the average mean steadier, more predictable results.
How to see this in Statly
Statly calculates this for every profile you track. A profile's overview in Watchlist includes a Top 20% Views Share chart, which shows what share of views came from the top fifth of videos, with a plain-English note on how spread out the reach is, next to its median, its outlier count and a chart of every video's views over time. Trend Finder then pulls the outliers from every account in a niche into one list, so you spend your time on the videos that matter instead of the long tail.
Is high concentration bad?
Not by itself. Plenty of healthy accounts earn most of their views from a few big videos, because that is how the platforms distribute. It becomes a warning only in two situations: when you are deciding whether to rely on a creator's typical results, and when you are judging your own account by one big hit. In both cases the median and the outlier count give the fairer picture.
Questions and answers
What is the 10% rule for video views?
It is the observation that a small share of an account's videos, around the top 10%, delivers most of its views. In our scan of 42 public accounts, the top 10% of Reels drove about 66% of total views. It is a pattern, not a law, and the exact share varies by account.
Is the 10% rule the same as the 80/20 rule?
It is the same family of idea, where a small share of items produces most of the result. The numbers differ. In our scan the top 10% of Reels produced about 66% of views, not 80%, and the share varies from account to account, so do not treat either figure as fixed.
How do I calculate my top 10% share?
Sort the last 20 to 30 videos by views, add up the views of the top 10% (two videos out of 20, three out of 30), and divide by the total views of all of them. Compare the result with the median to see whether results are concentrated.
Is it bad if my views are concentrated in a few videos?
No. It is the normal shape for short-form video. It is worth noticing mainly when you are judging a creator's typical results or your own account by one big hit. Use the median and the count of outliers for the fairer picture.
How many videos do I need to measure this?
At least 20 where possible. With fewer than that, the top 10% is only one or two videos, and a single result can swing the number. Keep the same time window when you compare accounts.
What does the 10% rule mean when vetting a creator?
Check whether the creator's views come from one video or from several. A creator with a healthy median and several outliers is a more reliable bet than one whose results rest on a single hit. Median views, outlier count and view concentration together show the difference.
Does the 10% rule hold on TikTok and YouTube Shorts?
Our own scan measured Instagram Reels, so we can only report that result. The same logic applies wherever a platform spreads reach unevenly, and Statly tracks public Instagram, TikTok and YouTube accounts so you can measure it on your own sample.