Shown
125% above the 14-day average.
Public YouTube analytics dashboard
Viewing this channel as it looked on Apr 11, 2026. 17 days before the most recent data.
Open Channel StatsNew ChannelThe smallest maturity stage — only milestone signals fire so thin samples don't drive statistical claims.
3 daysdays tracked
3 videos so far · 80 total views
Click rate
0.4 points below the 14-day average.
Views
140% above the 14-day average.
Subscribers
125% above the 14-day average.
Temperature
—
Baseline takes about five weeks to compute.
This week
What's moved in the last 7 days.
This channel is 3 days old. 3 videos published. Currently in the seedling stage. 80 cumulative views.
2
subscribers
2 subscribers — a first for this channel
This channel's first 2 subscribers came across 2 videos.
First subscribers typically come from viewers who wanted to keep watching past the video they landed on — which makes them more a signal about retention and content depth than about any single metric.
Also nearby
Queued to happen
EMERGING
Channel Page
Across 2 recent days, Channel Page has contributed 4 views — still below the 30-view threshold, but worth watching: sources that clear the floor usually show up on the traffic page with their own per-video share.
Traffic breakdownDETECTOR NEARING
3 of 4
Around 1 more video on this channel and the Day-1 predictor detector typically reaches its sample threshold. At that point, the Moment card can surface a correlation between first-day views and later totals on this channel.
What's movingDETECTOR NEARING
0 of 3
This channel is roughly 3 videos short of the point where the relative-outlier detector usually fires. Once it does, videos that sit well above or below the channel's own median get flagged as cross-video outliers in the Moment card.
What's movingThe Catalog
Which videos are the outliers — notes and lead changes along the bottom.
3 videos in 3 days. Most are still too new to compare against each other — by the 20th video, cross-video shapes start to be honest.
The Audience
Who is finding this channel?
Discovery phase: Suggested for Viewers — see Traffic.
Daily traffic mix
Each river is a traffic source; width follows daily views. Hover a stream to highlight its share over the last few days, or tap to open that source’s detail page.
Algorithmic dependency
What share of recent views came from sources where the viewer chose to come back (Direct, Channel Page, Playlist, End Screen, Link). The complementary share is algorithmic discovery (Browse, Suggested, Search). The ratio drifts as a channel matures; both extremes have legitimate channel patterns.
Persistence and replacement
Each week, what share of last week’s viewer mix came back versus how much of the mix is new. Compares the (source, country) buckets that delivered views in consecutive weeks.
Publishing cadence
Inter-publish gap distribution and the detected publishing pattern across the trailing 28 days. Weekend cells use a cooler tone, weekday cells a warmer one — descriptive only, not a verdict on the schedule.
Publishing cadence appears after the first 28 days.
Day-of-week rhythm
Day-of-week view tracking starts after 3 full weeks of data (1 so far).
The Pattern
Not enough catalog for cross-video patterns yet. This chapter fills in around the 20th video, when things like "longer videos hold viewers better on this channel" start to have statistical support.
3 of 20 videos so far.
The Coda
What this data doesn’t tell you.
Is this channel normal?
This site can’t answer that — no one channel can. What it shows you is one real channel, honestly. Every number here is real; nothing has been smoothed or flattered. Compare silently to whatever channels you study most often, and draw your own conclusions.
Real “normal” would come from comparing against many channels at the same stage in the same niche. That’s a future direction; it’s not something one channel’s data can answer today. Country breakdowns — views, average watch, net subscribers — are shown above. Click rate by country isn’t, since YouTube doesn’t report how often a thumbnail was shown by country. Device-type and subscribed-vs-non-subscribed splits aren't shown in this public view.
Half of this channel's subscribers came from one of 3 videos. Concentration like this is common at small catalogs and is descriptive, not a verdict.
What we tested:0 hold here·0 don't·0 inconclusive·→ See what we tested
Today's reading
This channel doesn't yet have enough data to test any beliefs in the canon.
Everything above is small-sample. Pattern-matching on a handful of videos usually produces mostly noise; by around the tenth video more of the chapters fill in with statistically meaningful content.
Most early-stage signals tend to stabilize after the catalog crosses a few dozen videos.