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Channel
囡囡的朋友圈
@nannanya_1234
On this record: Growth · Engagement · What this channel posts · Posts · Citations · Cite this entry
21subscribers
Risers and fallers across the register · movement among entries of Under 1,000.
Register entry
| Telegram ID | -1004453329718 |
|---|---|
| Type | Channel |
| Username | @nannanya_1234 |
| Description | 频道:https://t.me/nannanya_1234 @nannanya123_bot双向,个人首开,配合好🈚套k,🉑69🐍稳,陪浴szx,情绪价值高 |
| Created | Between 1 June 2026 and 30 September 2026 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 4 November 2026 |
| Last confirmed live | 4 November 2026 |
| Measurements held | 1 |
| On Telegram | t.me/nannanya_1234 |
Growth
Growth history is still building. We hold one measurement for this entry. A trend needs at least two, taken days apart — so this will fill in on its own rather than being estimated. We do not publish numbers we have not measured.
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 4 Nov 2026, 10:22 | 21 | first reading |
Engagement
9 posts held, back to 4 November 2026 — the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 1 page of Telegram’s post history, 20 posts per page.
- ERR · 30 days
- 335.7%
- avg views ÷ 21 subscribers
- Avg views / post
- 70.5
- 8 posts measured
- Reaction rate
- —
- this channel exposes no reaction counts
- Posts in window
- 9
- of 9 held
ERR is average views per post over the last 30 days divided by subscribers, the definition TGStat uses, so this figure is comparable with the one you will see elsewhere. It falls structurally as a channel grows: a high ERR on a small channel and a low one on a large channel describe reach mathematics, not quality. We publish the figure and the sample it came from and pass no verdict on it.
ER is defined industry-wide as (forwards + reactions + comments) ÷ views — note the denominator is views, not subscribers. Telegram’s public web preview carries views and reactions but not forward or comment counts, so the reaction rate above is the reactions term only and is therefore a floor: the true ER for this channel is higher by an amount we have not measured and will not estimate.
| Window | Rolling 30 days · latest post in window 4 November 2026 |
|---|---|
| Posts held | 9 (4 November 2026 – 4 November 2026) |
| Views total | 564 |
| Reactions total | — |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 4 Nov 2026, 10:22 UTC |
Views are a single reading per post, taken at the time above. A post published in the last day or two is still accumulating views, which pulls the 30-day average down slightly. That is a property of the standard definition rather than a fault in it, so we keep the definition rather than “correcting” the number into something nobody can reproduce.
Precision. Telegram publishes view counts on its public widget in short form — 8.12K, 3.7M — so any reading at or above 1,000 reaches us rounded to three significant figures, and only counts below 1,000 are exact. Averages and rates derived from them are shown to the same precision rather than to the unit: a figure like 3,701,250 would assert digits nobody measured.
Reaction counts are published per emoji and rounded the same way, so a total below 1,000 is exact and a larger one is a sum that may carry a rounded component from each emoji above 1,000. Because it is a sum, it does not look rounded — read a large reaction total as three significant figures per contributing emoji rather than as the figure it prints.
What this channel posts
- Photos
- 18
- Videos
- 1
- Links
- 5
Lifetime counters from Telegram’s own channel header, read 4 November 2026 — not the date at the top of this page, which is when the subscriber count was last read. Below Telegram’s rounding threshold, so these counts are exact.
- Video runtime
- 10s
- Average length
- 10s
Measured directly from 1 video with a duration reading, out of the posts we hold for this channel — not this channel’s whole posting history, only the sample this register has actually read. An exact reading to the second, taken from the post itself rather than from Telegram’s own rounded chrome, so it carries no ≈ mark.
Recent posts
Telegram’s own ‘edited’ marker: 0 of 9 posts held from the last 30 days (0%) carried it when this register last read them. The marker says a post was changed after publishing, not what it said before — this register holds the earlier wording only where an edit fell between two of its own reads (see the edit ledger and how it is measured).
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Channel photo removed
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哥哥们,可以私聊我
@nannanya_123
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Photo, posted without a caption
Showing the 9 most recent of 9 posts we hold for @nannanya_1234. View and reaction counts are the latest single reading for each post, not a live figure, and a recent post is still accumulating both. A view count marked ≈ was rounded by Telegram before we ever saw it — t.me prints views in full below 1,000 and to three significant figures above, so ≈1,200,000 means somewhere between 1,150,000 and 1,249,999. Unmarked counts are exact. Text is reproduced from the public post preview and truncated for length.
Forward network
Republishes
Channels on the register whose posts this channel has forwarded.
Built only from forwarded posts we have actually read, on both sides. Coverage is early and deliberately incomplete: a missing link means we have not read the post that would prove it, never that the relationship does not exist. Counts are distinct forwarded posts observed, so they only ever go up as we read more.
Mentions
Named by 4 registered channels — every channel on the register whose own posts have named this one, by its current username or any other username it currently holds, merged from two separately captured readings of the same fact so a namer caught by only one of them is not missed and a namer both caught is not counted twice. A username this channel has since dropped is not matched — that handle may belong to someone else now, and crediting today’s namer to yesterday’s owner would misattribute it.
Named by
Channels on the register whose posts name this channel's handle.
Names
Channels on the register whose handles appear in this channel's posts.
@chasesh_jlq · 34,9041 post野寻·上海小喇叭
@chasesh_xlb · 5,1401 post野寻·上海作业评价
@chasesh_zypj · 7,8271 post上海修车社区【公开榜】
@hvsjubs1 · 37,5881 post上海修车社区【轮播群】
@shanghai720 · 21,2951 post上海修车社区【报告区】
@shanghai722 · 10,8031 post上海修车社区【交流群】
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@XFL98 · 2,4121 post上海凤栖楼公告群🔔(免费上榜)
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@xfltop · 16,2301 post
A mention is a weaker signal than a forward and is counted separately for that reason — naming a channel is not republishing it, and a handle in a post body is easy to place deliberately. The post counts beside each row below are distinct posts in which the handle appeared, from posts we have read on both sides — the “Named by N registered channels” figure above is a different count, of distinct NAMING CHANNELS rather than posts, and is not the sum of the rows under it.
Cite this entry
A live page changes as we take new readings, so a citation should name the measurement it is based on, not just the URL. The line below cites the subscriber count as measured 4 November 2026 — this entry's latest reading, not the date you are reading this.
“囡囡的朋友圈” (@nannanya_1234), 21 subscribers as measured 4 November 2026. Telegram Register, tgregister.com/channel/nannanya_1234.
Full measurement history, CC BY 4.0. Every reading this register holds for this entry, not just the latest one, as a dated, downloadable record: CSV · JSON. Free to use with attribution to tgregister.com. Each file carries its own generation timestamp, which is the figure to cite for exactly when the data was retrieved.