Channel
@quanqiu0001
On this record: Growth · Engagement · Reactions · Posts · Citations · Handles named that no longer answer · Cite this entry
1,346subscribers
-3 since we began measuring on 6 August 2026
Risers and fallers across the register · movement among entries of 1,000–3,162.
| Telegram ID | -1001860370249 |
|---|---|
| Type | Channel |
| Username | @quanqiu0001 |
| Created | Between 1 October 2022 and 30 September 2023— estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 6 August 2026 |
| Last confirmed live | 17 August 2026 |
| Measurements held | 5 |
| Confirmed unchanged | 1 time, most recently 17 August 2026 |
| On Telegram | t.me/quanqiu0001 |
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 17 Aug 2026, 14:55 | 1,346 | +2 |
| 14 Aug 2026, 04:07 | 1,344 | -6 |
| 10 Aug 2026, 15:26 | 1,350 | +4 |
| 7 Aug 2026, 05:20 | 1,346 | -3 |
| 6 Aug 2026, 19:31 | 1,349 | first reading |
5 posts held, back to 9 March 2024 — 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 pageof Telegram’s post history, 20 posts per page.
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 1 August 2026 |
|---|---|
| Posts held | 5 (9 March 2024 – 1 August 2026) |
| Views total | 78 |
| Reactions total | — |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 6 Aug 2026, 19:31 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.
4 reactions across 2 posts, in 1 kind.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 4 | 100.0% |
No sentiment is inferred, and none should be read in. This table is ordered by count and by nothing else. Emoji do not carry stable meaning across languages or communities — 🙏 is thanks in one channel and mourning in another — so we publish which ones were pressed and how often, and pass no judgement on what an audience meant by them.
Precision. Telegram publishes reaction counts per emoji and short-forms each one — 4.34K, 1.2M — so any single kind at or above 1,000 reaches us at three significant figures, and only counts below 1,000 are exact. The shares above are ratios of those figures and carry the same error. This is also why the total here can differ slightly from a reaction total printed elsewhere on the page: both are sums of the same rounded parts, taken over samples with different edges.
Coverage. Reactions were read on 3 of the 5 sampled posts in this sample. Summed by Telegram’s own count on each post — not by adding up the per-emoji breakdown above — those same posts carry 4reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 5 most recent posts we hold, published 9 March 2024 to 1 August 2026, using the newest reading held for each. Telegram Stars are excluded: they are a payment, not a reaction, and they have their own section.
https://t.me/quanqiu0022 济南 https://t.me/quanqiu0045 西安 https://t.me/quanqiu0018 沈阳 https://t.me/quanqiu0023 太原 https://t.me/quanqiu0053 哈尔滨 https://t.me/quanqiu0031 泉州 https://t.me/quanqiu0054 乌鲁木齐 https://t.me/quanqiu0040 银川 https://t.me/quanqiu0037 嘉兴 https://t.me/quanqiu0039 烟台 https://t.me/quanqiu0048 义乌 https://t.me/quanqiu0028 重庆 https://t.me/quanqiu0014 苏州 https://t.me/quanqiu0013 宁波 https://t.m…
@quanqiu0001 全球 @quanqiu0002 菲律宾 @quanqiu0003 柬埔寨 @quanqiu0004 泰国 @quanqiu0005 迪拜 @quanqiu0006 菲妹 @quanqiu0007 北京 @quanqiu0008 上海 @quanqiu0009 广州 @quanqiu0010 杭州 @quanqiu0011 深圳 @quanqiu0012 青岛 @quanqiu0013 宁波 @quanqiu0014 苏州 @quanqiu0015 昆明大理西双版纳 @quanqiu0016 合肥 @quanqiu0017 武汉 @quanqiu0018 沈阳 @quanqiu0019 天津 @quanqiu0020 珠海 @quanqiu0021 南京 @quanqiu0022 济南 @quanqiu0023 太原 @quanqiu0024 成都 @qua…
❤3
广州哈森❤️人甜甜03小萝莉新下海 极品动漫博主 可萌妹可御姐 三点粉 不照骗 不事不翘。 直男杀手。碧玺 163 c 03 85 禁🐱禁挂 #广州 #萝莉 #甜甜
广州哈森🏠小女友 03年 165 🐻 C 纯欲风 可爱型 完美女友feel 皮肤细腻雪白 不催不事
❤1
广州哈森家甜甜
Showing the 5 most recent of 5 posts we hold for @quanqiu0001. 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.
Citation-graph rank — 91,028 of 1,549,704entries in the measured graph. A weighted position computed from the forward and mention edges below — republished posts weigh more than named mentions — and recomputed periodically, over the whole graph. Published only as this ordinal position, never as a score: a position is a fact, and a score printed beside one channel’s name would read as a verdict this register does not make. The two counts beneath stay separate for the same reason mentions are never summed with forwards anywhere else on this page — a named-by count costs nothing to manufacture. The top 100 by this measure, or how it is computed.
Named by 54 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. The 24 listed below are the most frequent namers; the rest are counted above but not each listed.
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.
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.
@quanqiu0001 named 12 handles that resolve to nothing today. That is a fact about the reference, not necessarily a fact about the handle’s history — see the two groups below.
Most of these may never have existed as a live channel at all.A handle a channel names can be a typo, an aspirational name nobody registered, or a channel that was already gone before this one ever mentioned it. Unless a row below is marked evidenced, all we know is that it references a handle that is not a live channel today — not that anything “died”. How this is measured.
References a handle that is not a live channel — we have no record it ever was one.
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 17 August 2026 — this entry's latest reading, not the date you are reading this.
“🚗全球外围图片合集🚗” (@quanqiu0001), 1,346 subscribers as measured 17 August 2026. Telegram Register, tgregister.com/channel/quanqiu0001.
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.