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Telegram profile photo for 深圳茶友汇公开榜

Channel

深圳茶友汇公开榜

@SZxiuche666

On this record: Topic · Observations · Also posting the same content · Growth · Engagement · What this channel posts · Reactions · Posts · Posts edited after publishing · Posts recorded as deleted · Citations · Handles named that no longer answer · Cite this entry

22,079subscribers

+1,052 since we began measuring on 6 August 2026

Risers and fallers across the register · movement among entries of 10,000–31,623.

Register entry

Telegram ID-1002390384122
TypeChannel
Username@SZxiuche666
Description欢迎加入深圳茶友汇!写报告抽白嫖卷! 每月都有白嫖卷/半价卷/优惠劵等活动 解禁/上榜/联系管理员: @szxcgl 提交报告: @zxsdjbot 茶友群:https://t.me/SZXLX 报告榜:https://t.me/szcyhbg
CreatedBetween 1 September 2024 and 31 March 2025 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded6 August 2026
Last confirmed live8 November 2026
Measurements held63
Confirmed unchanged1 time, most recently 8 November 2026
On Telegramt.me/SZxiuche666

Topic

Adult — a classification, not a measurement. An on-box language model (Qwen3.6-35B-A3B-UD-Q6_K_XL, prompt version 1) read this channel’s own recent posts on 10 August 2026 and assigned it the closest of 31 fixed categories, at 66% 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 the other topics.

Observations

These are measurements, not verdicts. Each one below states something we counted, alongside the evidence it was counted from, so you can check it rather than take it. None of them is graded: every observation this register holds is recorded at severity 0, because the precision of the detectors behind them has not been measured yet, and a rating we cannot support is worse than none. Read each as a fact about the data, not as a judgement about the channel. How we measure.

Content that also appears on other registered channels

Posts published here appear word for word on 1 other registered channel. The matching is on the text itself, not on Telegram’s forward marker, so it finds a copy whether or not it was labelled as one.

Matching posts — open both and compare (6 of the pairs behind the counts below)
Posted firstThenOverlapGap
@szcyhbg/2525 Aug 2026, 18:58 UTC@SZxiuche666/1563 · this entry5 Aug 2026, 18:58 UTC1.00under a minute
@szcyhbg/2536 Aug 2026, 05:27 UTC@SZxiuche666/1569 · this entry6 Aug 2026, 05:27 UTC1.00under a minute
@szcyhbg/2546 Aug 2026, 06:00 UTC@SZxiuche666/1570 · this entry6 Aug 2026, 06:00 UTC1.00under a minute
@szcyhbg/2556 Aug 2026, 08:48 UTC@SZxiuche666/1577 · this entry6 Aug 2026, 08:48 UTC1.00under a minute
@szcyhbg/2567 Aug 2026, 06:00 UTC@SZxiuche666/1578 · this entry7 Aug 2026, 06:00 UTC1.00under a minute
@szcyhbg/2577 Aug 2026, 12:18 UTC@SZxiuche666/1584 · this entry7 Aug 2026, 12:18 UTC1.00under a minute
Every channel this entry shares post bodies with
ChannelMatching postsText overlapTypical gapPublished first
@szcyhbg6 (6/6 hand-verifiable sample passed)1.00under a minute@szcyhbg (4–2)

Text overlap is the Jaccard coefficient over the set of distinct three-word phrases in the two bodies: 1.00 is identical wording, and the threshold for counting a pair at all is 0.70. Candidates are generated by simhash LSH (4 x 16-bit bands, exact Hamming <= 3) verified against the bodies with Jaccard over the SET of distinct 3-word shingles. Published first counts which side of each matching pair carries the earlier timestamp — in this corpus, which is the limitation directly below.

What this cannot establish

MEASURED, DOMINANT ERROR SOURCE: a post ingested before 2026-08-06 may have carried a forward header that was not recorded. A 45-pair hand-check against live t.me pages found 14 (31%) where the live page shows a forward header naming the other channel and the database has none, plus 4 more (9%) naming a third party. The text match itself was wrong 0 times out of 45. Read attribution_capture.items_in_trusted_window before treating the unattributed count as a claim.

Telegram lets a channel forward a post with a header naming the source, and we only began reliably recording that header on 2026-08-06. 3 of the 4 matches recorded here fall after that date and carried no header when we read them. The rest predate reliable capture and are not evidence either way.

“Published first” means first in this corpus. We hold 10 comparable posts for this entry, running 5 August 2026 to 7 August 2026. A channel we have read one page deep will look younger than a neighbour we have read in full, and the order would flip with no change in the underlying facts.

The detector’s own notes on this observation, as it recorded them. Names in this_style are fields of the underlying evidence record, which the plain-English paragraphs above read out for this entry.

  • Verbatim republication has three causes and the text separates only two: a clone/mirror, unattributed copy-paste, or BOTH channels copying a common third source that neither attributes. The spread filter (content held by at most 8 channels) reduces the third and does not remove it.
  • 'Earliest' means earliest IN THIS CORPUS. A channel ingested one page deep will look younger than a neighbour ingested in full; corpus_coverage above is there to be checked before the direction is believed.
  • shared_verified_est extrapolates the sampled pass rate over the full narrow match count; sampled/passed are the numbers actually measured.
  • Absence of a forward header is not proof of intent: Telegram lets a channel disable forward attribution, and a credit written in the body is not parsed as attribution here (mention_edge_either_way above is the closest available signal).

Across the whole group of 2, the earliest publisher we hold is @szcyhbg. That is a statement about our reading window, not a claim of authorship.

Recorded under the key clone_copy, last confirmed 7 August 2026. An observation that a later pass no longer finds is cleared, and a cleared observation is removed from this page rather than being shown struck through — we do not keep publishing a claim we have withdrawn. Dispute an observation.

Also posting the same content

This channel’s posts match, word for word or near enough, posts on 1 other registered channel, found by comparing text fingerprints across every channel on the register. That matching has been checked by hand against the live Telegram pages and found reliable — 0 wrong of 45 pairs re-read.

Which channel, if either, published first is deliberately not shown. The same hand-check found that reading wrong 18 of 45 times — 60%, no better than a coin flip — because it depends on how deep our own crawl happened to reach into each channel’s history, not on when the content was actually first posted. This list is ordered by subscriber count, the same as every other listing on this site, never by which channel we think came first. Word-for-word matching has several ordinary explanations besides copying — a channel mirroring itself, an unattributed repost, or two channels independently repeating the same wire story — and this measurement cannot tell those apart. How this is measured.

Growth

15,69622,07918,887.56 August 20268 November 2026
63 measurements spanning 94 days, net +1,052. 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 14,739–23,036 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 63
Measured (UTC)SubscribersChange
8 Nov 2026, 15:1422,079+289
7 Nov 2026, 11:0721,790+148
6 Nov 2026, 08:2421,642+206
5 Nov 2026, 05:4021,436+365
4 Nov 2026, 04:0921,071+274
3 Nov 2026, 07:1620,797+278
2 Nov 2026, 04:3920,519+287
1 Nov 2026, 06:1920,232+129
31 Oct 2026, 06:5920,103+282
30 Oct 2026, 08:3119,821+327
29 Oct 2026, 04:5819,494+321
28 Oct 2026, 04:0119,173+283
27 Oct 2026, 01:4818,890+131
26 Oct 2026, 04:1718,759+185
25 Oct 2026, 02:1718,574+154
24 Oct 2026, 05:4718,420+248
23 Oct 2026, 08:5618,172+162
22 Oct 2026, 12:1018,010+272
21 Oct 2026, 03:0017,738+265
20 Oct 2026, 02:5617,473first reading

Engagement

74 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 73 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
4.83%
avg views ÷ 22,079 subscribers
Avg views / post
1,070
8 posts measured
Reaction rate
—
this channel exposes no reaction counts
Posts in window
8
of 74 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.

What these figures were computed from
WindowRolling 30 days · latest post in window 4 November 2026
Posts held74 (5 August 2026 – 4 November 2026)
Views total8,532
Reactions total—
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken8 Nov 2026, 16:07 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
238
Videos
57
Links
63

Lifetime counters from Telegram’s own channel header, read 8 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
2m 40s
Average length
11s

Measured directly from 15 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.

Reaction mix

5 reactions across 5 posts, in 1 kind.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
❤5100.0%

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 8 of the 74 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 5 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 74 most recent posts we hold, published 5 August 2026 to 4 November 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.

Recent posts

Telegram’s own ‘edited’ marker: 1 of 8 posts held from the last 30 days (12.5%) 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).

4 Nov 2026, 06:00 UTC≈1,820 viewsread 8 November 2026
Photo

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3 Nov 2026, 18:56 UTC257 viewsread 8 November 2026
Video

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2 Nov 2026, 09:56 UTC446 viewsread 8 November 2026
Photo

📊 1条车评,综合评分9.0 💋 艺名:南山贝贝 #南山区 💰 课费:900p · 1600pp 🏷 标签:#陪浴 #六九 #水中萧 #丝袜 #制服 #嫩妹 ☎️ 联系方式 电报:点击获取 频道:点击查看 ✍️给老师写评价 💡查看全部车评 🔥点击进群👉深圳茶友汇🅢

2 Nov 2026, 06:00 UTC≈1,760 viewsread 8 November 2026
Photo

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31 Oct 2026, 12:01 UTC≈1,780 viewsread 8 November 2026
Photo

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31 Oct 2026, 12:01 UTC≈1,720 viewsread 8 November 2026
Photo

🎰 坂田诺𤋮半价福利 📮 参与条件: 🌏️ 归属地 广东 🪪 必须设置用户名 🎫 加入-深圳坂田诺熙天然E🐻 🎫 加入-深圳茶友汇报告榜 🎫 加入-深圳茶友汇🅢 └ 🎟️ 发言数大于 6 条 🎫 加入-深圳茶友汇公开榜 🎁 奖品内容: 💰️ 半价p(必须这报告) × 1 ⚠️ 抽奖说明: 1、开奖后5天内完成约课出击,退群、炸号、过期无效; 2、(半价卷)出击完后必须提交出击报告(不提交者拉黑)不去提前说; 3、转让优惠卷需老师同意; 深圳茶友汇:https://t.me/SZXLX 🔋 人品加成:⚡️× 9 规则 📅 开奖日期:(北京时间) 2026年11月02日 14时00分00秒

31 Oct 2026, 11:41 UTC175 viewsread 8 November 2026
Photo

📊 0条车评,综合评分0 💋 艺名:诺熙 #龙岗区 💰 课费:700p · 1400pp 🏷 标签:#陪浴 #水中萧 #六九 #高跟👠 #坂田 ☎️ 联系方式 电报:点击获取 频道:点击查看 ✍️给老师写评价 💡查看全部车评 🔥点击进群👉深圳茶友汇🅢

28 Oct 2026, 09:09 UTC574 viewsread 8 November 2026
Photo

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3 Sept 2026, 06:00 UTC200 viewsread 3 September 2026
Photo

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1 Sept 2026, 06:30 UTC≈1,540 viewsread 3 September 2026
Photo

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1 Sept 2026, 06:23 UTC98 viewsread 3 September 2026
Photo

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28 Aug 2026, 06:00 UTC≈1,640 viewsread 3 September 2026
Photo

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Showing the 12 most recent of 74 posts we hold for @SZxiuche666. 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 edited after publishing

@SZxiuche666 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.

First edit seen
3 November 2026
Most recent edit
3 November 2026

Posts recorded as deleted after publishing

We recorded 6 posts on @SZxiuche666 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
16 August 2026
Most recent seen missing
6 November 2026
Median time before seen missing
5 days
Seen missing in the last 30 days
1

Forward network

Republished by

Channels on the register that have forwarded this channel's posts into their own feed.

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 18 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.

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

“深圳茶友汇公开榜” (@SZxiuche666), 22,079 subscribers as measured 8 November 2026. Telegram Register, tgregister.com/channel/SZxiuche666.

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.