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Channel

深圳俱乐部认证资源

@h00000c

Has discussion group

On this record: Growth · Engagement · What this channel posts · Posts · Posts recorded as deleted · Citations · Cite this entry

36,328subscribers

+238 since we began measuring on 3 November 2026

Risers and fallers across the register · movement among entries of 31,623–100,000.

Register entry

Telegram ID-1001866390397
TypeChannel
Username@h00000c
CreatedBetween 1 October 2022 and 30 September 2023 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded3 November 2026
Last confirmed live5 November 2026
Measurements held4
Confirmed unchanged1 time, most recently 5 November 2026
On Telegramt.me/h00000c

Growth

36,09036,32836,2093 November 2026 — 36,090 subscribers3 November 2026 — 36,196 subscribers4 November 2026 — 36,268 subscribers5 November 2026 — 36,328 subscribers3 November 20265 November 2026
4 measurements spanning 3 days, net +238. Dots are measurements; the straight line between them is drawn to join them, not to claim we know the path taken in between — snapshots are recorded only when a count changes, so gaps mean “no change observed”, never “interpolated”. The vertical axis spans 36,054–36,364 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
5 Nov 2026, 21:3136,328+60
4 Nov 2026, 23:1636,268+72
3 Nov 2026, 20:2136,196+106
3 Nov 2026, 04:2036,090first reading

Engagement

5 posts held, back to 10 October 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 9 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
10.1%
avg views ÷ 36,328 subscribers
Avg views / post
3,660
5 posts measured
Reaction rate
0%
reactions ÷ views · ER floor
Posts in window
5
of 5 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. It is computed over the 1 of 5 measured posts that carry a reaction reading, and over those same posts' views.

What these figures were computed from
WindowRolling 30 days · latest post in window 5 November 2026
Posts held5 (10 October 2026 – 5 November 2026)
Views total18,316
Reactions total0
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken5 Nov 2026, 20:10 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

Video runtime
38s
Average length
13s

Measured directly from 3 videos 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 5 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).

5 Nov 2026, 18:21 UTC6 viewsread 5 November 2026

👇请点击蓝色文字查看相对应资源👇 🟢️南山区 🟢️福田区 🟢️罗湖区 🟢️宝安区 🟢️龙华区 🟢️龙岗区 🟢️其他区 🟢️会所外围 💬深圳总群 📬修车报告 🌐其它城市

17 Oct 2026, 14:42 UTC≈3,630 viewsread 5 November 2026
Photo

#深圳梦幻专业Cos主题SPA✨ 【满意度TOP1🔝/ #深圳地区人气店家 #好评榜】 ------------------------------ #至尊95口爆服务内容(水会-会所) 💥动作任来~ 📱A套餐95:预约价格568 (70分钟内 口一次手一) 📱B套餐96:预约价格788 (70分钟内 口爆两次) 📱C套餐97:预约价格998 (双飞70分钟口爆两次) 📱D套餐97:预约价格998 (双钟120分钟口爆两次) 以上套餐包涵磨棒体验 ------------------------------ #极品94推油或丝足(水会-会所) 📱预约价格498 📱服务同上 最后手打 或丝足 (70分钟可出水两次不另收费) -------------------------- 诚信靠谱第一(非诚勿扰)! 多位佳丽在线上班,类型齐全,现场选人,满意为止!无任何隐藏消费! 覆盖区域: #罗湖 #宝安 #南山 #龙华 #龙岗 #福田 📱…

14 Oct 2026, 09:09 UTC≈4,190 viewsread 5 November 2026
Photo

【艺名】: #玥玥 【地址】: #龙岗区 【联系】: @min520758 双向 : @yueyhhbot 【频道】: https://t.me/yueyuedehouhuayuanp

14 Oct 2026, 08:54 UTC≈4,130 viewsread 5 November 2026
Photo

【艺名】: #小小安 【地址】: #龙岗区 【联系】: @An0413 双向 : @jsisjhhBot 【频道】:https://t.me/lijiamlaidhangke

10 Oct 2026, 05:21 UTC≈6,360 views0 reactionsread 5 November 2026
Photo

【艺名】: #贝贝 【地址】: #宝安区 【联系】: @beibei06789 双向 : @beibei003_bot 【频道】:https://t.me/beibei0987

Showing the 5 most recent of 5 posts we hold for @h00000c. 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.

Posts recorded as deleted after publishing

We recorded 3 posts on @h00000c as deleted — posts this register held that were missing from the channel’s public page on two separate reads, taken from different network addresses at least an hour apart.

A deletion is not wrongdoing. This register can see that a post it held is no longer on the channel’s public page, and when — not why. Expired ad placements, reposts, rotating links and corrections all look the same. This is a count of recorded detections, not an exact total: it misses deletions we could not see, because only a post we held and later re-read inside the page can be seen to go, and it may include a small number of wrong records. How this is measured.

First seen missing
4 November 2026
Most recent seen missing
5 November 2026
Median time before seen missing
34 hours
Seen missing in the last 30 days
3

Mentions

Named by 1 registered channel — 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.

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 5 November 2026 — this entry's latest reading, not the date you are reading this.

“深圳俱乐部认证资源” (@h00000c), 36,328 subscribers as measured 5 November 2026. Telegram Register, tgregister.com/channel/h00000c.

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.