#龙华 老师艺名:龙华 金智妍 身材比例:165cm 🐻C 消费价位 : 800p 1500pp 联系方式:@yyaaa2005 双向限制: @yyaaa2005_bot 频道简介 : @hkAI2027
❤2

Channel
@szfuck
On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Posts · Posts edited after publishing · Citations · Handles named that no longer answer · Cite this entry
32,215subscribers
+6,325 since we began measuring on 7 August 2026
Risers and fallers across the register · movement among entries of 31,623–100,000.
| Telegram ID | -1001096834229 |
|---|---|
| Type | Channel |
| Username | @szfuck |
| Description | 深圳聊天 https://t.me/+VLR6cLhxRAU0ZDBk 報告抽獎 @shareqq 被頻道老師騙定金,告知群主 @wonusd |
| Created | Between 1 September 2016 and 30 September 2017 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 7 August 2026 |
| Last confirmed live | 18 September 2026 |
| Measurements held | 33 |
| Confirmed unchanged | 1 time, most recently 18 September 2026 |
| On Telegram | t.me/szfuck |
Other / unclassifiable — a classification, not a measurement. An on-box language model (Qwen3.6-35B-A3B-FP8, prompt version 1) read this channel’s own recent posts on 9 September 2026 and assigned it the closest of 31 fixed categories, at 88% confidence. This is a model’s judgement about what the channel is likely to be about, not a fact this register measured the way a subscriber count or a view count is measured — it can be revised on a later pass, and it carries no weight anywhere else on this page. How this classification works, and why it has no browse page of its own yet.
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 18 Sept 2026, 17:18 | 32,215 | +507 |
| 16 Sept 2026, 07:21 | 31,708 | -347 |
| 14 Sept 2026, 13:39 | 32,055 | -75 |
| 13 Sept 2026, 02:37 | 32,130 | -404 |
| 11 Sept 2026, 06:01 | 32,534 | -693 |
| 8 Sept 2026, 12:55 | 33,227 | -652 |
| 5 Sept 2026, 09:40 | 33,879 | -222 |
| 3 Sept 2026, 12:40 | 34,101 | +188 |
| 2 Sept 2026, 07:13 | 33,913 | +12 |
| 1 Sept 2026, 04:07 | 33,901 | +126 |
| 31 Aug 2026, 06:57 | 33,775 | +209 |
| 30 Aug 2026, 04:46 | 33,566 | -117 |
| 29 Aug 2026, 05:15 | 33,683 | +10 |
| 28 Aug 2026, 05:23 | 33,673 | +232 |
| 27 Aug 2026, 02:54 | 33,441 | +559 |
| 26 Aug 2026, 03:06 | 32,882 | +397 |
| 25 Aug 2026, 00:13 | 32,485 | +783 |
| 23 Aug 2026, 09:34 | 31,702 | +485 |
| 21 Aug 2026, 18:27 | 31,217 | +236 |
| 20 Aug 2026, 15:54 | 30,981 | first reading |
58 posts held, back to 5 August 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 77 pages of 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 21 September 2026 |
|---|---|
| Posts held | 58 (5 August 2026 – 21 September 2026) |
| Views total | 39,803 |
| Reactions total | 50 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 23 Sept 2026, 06:38 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.
Lifetime counters from Telegram’s own channel header, read 23 September 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.
Measured directly from 31 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.
98 reactions across 54 posts, in 3 distinct kinds. The most used accounts for 92.9% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 91 | 92.9% | |
| 👌 | 6 | 6.12% | |
| 🔥 | 1 | 1.02% |
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 58 of the 58 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 98 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 58 most recent posts we hold, published 5 August 2026 to 21 September 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.
#龙华 老师艺名:龙华 金智妍 身材比例:165cm 🐻C 消费价位 : 800p 1500pp 联系方式:@yyaaa2005 双向限制: @yyaaa2005_bot 频道简介 : @hkAI2027
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#福田 老师艺名:福田 则小九 身材比例:166cm 🐻C 消费价位 : 600p 1100pp 联系方式:@KendreKeryn8757 双向限制: @Vv211219bot 频道简介 : @Ss32615
❤1
#龙岗 老师艺名:龙岗 悠悠 身材比例:173cm 🐻B 消费价位 : 800p 1400pp 联系方式:@aa7700113 双向限制: @xiaominlove_bot 频道简介 : @youyou7758521
❤1🔥1
#深圳会所 #深圳按摩SPA #深圳抓龙筋 深圳独家【全新体验】半裸♥️顶级SPA +热石私享沉浸式抓龙筋,“细腻深处直达云顶之上,余音袅袅身心共振享受非凡” 纯口碑,不偷一分钟,时间内无限次释放:胸推,臀疗,龟头责边缘控制,强制高潮,脱敏疗法,三起三落,体验不一样的爽感,头皮酥麻虐恋求饶的感觉,反复高潮,长达5-10分钟。 【私享A课】体验价700/80分钟 【私享B课】体验价900/90分钟 可胸、可手、可足多重释放 位置:#南山 #福田 #宝安 #龙华 #罗湖 私聊: @sznsmmspa 频道:https://t.me/qypdb 🐧QQ:3760728326或3815746522
#福田 老师艺名:福田 长舌头 宝儿 身材比例:166cm 🐻C 消费价位 : 1088p 60分钟 1688一口一p 90分钟 2088 120分钟无限制 联系方式:@baor5 双向限制: -- 频道简介 : @baor555
❤1
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❤4
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❤1
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❤3
Showing the 12 most recent of 58 posts we hold for @szfuck. 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.
@szfuck edited 1 post after it first published — the same permalink now carries different wording than the one this register originally read, caught because our own crawl held a copy of the earlier text.
An edit is not deception. Typo fixes, price updates and corrections look exactly like this too — this register can tell you the wording changed and when, not why. How this is measured.
Named by 2 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.
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.
@szfuck named 2 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 18 September 2026 — this entry's latest reading, not the date you are reading this.
“深圳共享備頻” (@szfuck), 32,215 subscribers as measured 18 September 2026. Telegram Register, tgregister.com/channel/szfuck.
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.