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Channel

深圳枫林榜 @szflw

@szflwbd

On this record: Topic · Observations · 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

44,110subscribers

+16,197 since we began measuring on 6 August 2026

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

Register entry

Telegram ID-1003397917787
TypeChannel
Username@szflwbd
Description关注频道🍁嫩妹首发! 私聊老师发送“枫林晚”,优惠福利等着你🍁 🚗修车导航:https://t.me/szfenglinwan 🍁查找老师🔍 https://t.me/mingyue1bot 👮‍♀️本群管理:https://t.me/qwer3456
CreatedBetween 1 November 2025 and 31 March 2026 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded6 August 2026
Last confirmed live11 November 2026
Measurements held64
Confirmed unchanged1 time, most recently 11 November 2026
On Telegramt.me/szflwbd

Topic

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 74% 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 in near-verbatim form on 3 other registered channels. 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
@szflwbd/13795 · this entry7 Sept 2026, 08:59 UTC@SZ_3hdsbd/211537 Sept 2026, 09:43 UTC1.0044 minutes
@SZ_3hdsbd/2147014 Sept 2026, 07:37 UTC@szflwbd/14982 · this entry28 Sept 2026, 10:18 UTC1.0014 days
@szflwbd/15121 · this entry1 Oct 2026, 08:06 UTC@SZ_3hdsbd/220351 Oct 2026, 08:12 UTC1.007 minutes
@szflwbd/16224 · this entry22 Oct 2026, 07:43 UTC@SZ_3hdsbd/2274122 Oct 2026, 07:48 UTC1.004 minutes
@SZ_3hdsbd/2246214 Oct 2026, 06:15 UTC@szflwbd/16509 · this entry28 Oct 2026, 06:00 UTC1.0014 days
@szflwbd/13790 · this entry7 Sept 2026, 07:21 UTC@SZ_3hdsbd/2146614 Sept 2026, 07:20 UTC0.987 days
Channels this entry shares post bodies with, where at least one matching post pair has no forward credit between the two channels, or to a common source, recorded in our data
ChannelMatching postsText overlapTypical gapPublished first
@SZ_3hdsbd8 (8/8 hand-verifiable sample passed)0.9910 daysthis entry (5–3)
@SZ_shcjzl6 (6/6 hand-verifiable sample passed)0.9942 hourseven
@DGXC0086 (6/6 hand-verifiable sample passed)1.003.6 hours@DGXC008 (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. 9 of the 9 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 123 comparable posts for this entry, running 6 August 2026 to 10 November 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).

Recorded under the keys clone_copy · clone_mutual, last confirmed 11 November 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.

Growth

27,91344,11036,011.56 August 202611 November 2026
64 measurements spanning 97 days, net +16,197. 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 25,483–46,540 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 64
Measured (UTC)SubscribersChange
11 Nov 2026, 08:4144,110+18
9 Nov 2026, 12:5144,092+53
8 Nov 2026, 07:5744,039+318
7 Nov 2026, 00:5443,721+377
6 Nov 2026, 00:4143,344+469
5 Nov 2026, 01:1542,875+374
4 Nov 2026, 01:2142,501+227
3 Nov 2026, 02:4942,274+208
2 Nov 2026, 04:2142,066+262
1 Nov 2026, 06:5441,804+193
31 Oct 2026, 05:0141,611+221
30 Oct 2026, 04:1041,390+37
29 Oct 2026, 07:0741,353+207
28 Oct 2026, 03:3141,146+194
27 Oct 2026, 06:3040,952+118
26 Oct 2026, 07:0640,834+236
25 Oct 2026, 04:0940,598+192
24 Oct 2026, 02:3940,406+74
23 Oct 2026, 04:2940,332+91
22 Oct 2026, 01:2040,241first reading

Engagement

650 posts held, back to 6 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 183 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
1.22%
avg views ÷ 44,110 subscribers
Avg views / post
539
213 posts measured
Reaction rate
0.114%
reactions ÷ views · ER floor
Posts in window
213
of 650 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 39 of 213 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 12 November 2026
Posts held650 (6 August 2026 – 12 November 2026)
Views total114,825
Reactions total25
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken13 Nov 2026, 01:46 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
≈7,270
Videos
≈962
Links
≈1,060

Lifetime counters from Telegram’s own channel header, read 13 November 2026 — not the date at the top of this page, which is when the subscriber count was last read. A count marked ≈ was rounded by Telegram before we ever saw it — t.me prints these counters in full below 1,000 and to three significant figures above, so ≈142,000 means somewhere between 141,500 and 142,499.

Video runtime
39m 15s
Average length
10s

Measured directly from 234 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

129 reactions across 105 posts, in 8 distinct kinds. The most used accounts for 61.2% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
❤7961.2%
👍1914.7%
🔥96.98%
👏75.43%
💯75.43%
🎉53.88%
👀21.55%
👎10.775%

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 149 of the 650 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 129 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 650 most recent posts we hold, published 6 August 2026 to 12 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: 11 of 213 posts held from the last 30 days (5.16%) 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).

12 Nov 2026, 12:00 UTC616 viewsread 13 November 2026
Photo

🍁深圳枫林晚 - @szflw 私聊老师发送“枫林晚”,优惠福利等着你🍁

12 Nov 2026, 11:49 UTC624 viewsread 13 November 2026
Photo

花名:可可 位置:深圳 #光明 课费:800p 1500pp 私聊:@keke16581 频道:@keke510 双向:@Tetriskeke67678bot

12 Nov 2026, 08:14 UTC748 views1 reactionsread 13 November 2026
Photo

花名:恬恬(新人) 位置:深圳 #南山 课费:1300p 2200pp 私聊:@tiantian360 频道:https://t.me/+yGNsnyQezpIxZDY1 双向:@tiantian360_bot

❤1

12 Nov 2026, 07:02 UTC787 views1 reactionsread 13 November 2026
Photo

Telegram 中文圈搜索引擎,积木 JIMU 帮你查询任何您想要的群组、频道(不论公开与私密) 🧩 积木:@jimu · @jimux · @jimuxx 👉 所有入口都能助力提升排名🚀

❤1

12 Nov 2026, 06:26 UTC851 viewsread 13 November 2026
Photo

花名:敏恩 位置:深圳 #南山 课费:1400p 2600pp 私聊:@mminen 频道:@mminendaxiong 双向:@mminen_bot

12 Nov 2026, 05:48 UTC855 viewsread 13 November 2026
Photo

花名:小希(嫩妹) 位置:深圳 #福田 课费:998p 1988pp 私聊:@fugeliu 频道:https://t.me/xixi1156788 双向:@xixi115678_bot

11 Nov 2026, 12:37 UTC627 views1 reactionsread 12 November 2026
Photo

花名:圆圆 位置:深圳 #南山 课费:1200p 2000pp 私聊:@yuanyuan7889 频道:https://t.me/+7Vgj3k239SllMTRl 双向:@lailai5277bot

❤1

11 Nov 2026, 12:00 UTC651 viewsread 12 November 2026
Photo

🍁深圳枫林晚 - @szflw 私聊老师发送“枫林晚”,优惠福利等着你🍁

11 Nov 2026, 11:49 UTC610 viewsread 12 November 2026
Photo

花名:奶油妹妹 位置:深圳 #南山 课费:1300p 2000pp 私聊:@nymei 频道:https://t.me/yuanyal99 双向:@jianshi578bot

11 Nov 2026, 07:02 UTC783 viewsread 12 November 2026
Photo

Telegram 中文圈搜索引擎,积木 JIMU 帮你查询任何您想要的群组、频道(不论公开与私密) 🧩 积木:@jimu · @jimux · @jimuxx 👉 所有入口都能助力提升排名🚀

11 Nov 2026, 06:09 UTC821 views1 reactionsread 12 November 2026
Photo

花名:KoKo 位置:深圳 #福田 课费:1200p 2200pp 私聊:@vvvvk3 频道:https://t.me/+wwiSq2J9BK5lMDJl 双向:@kokowen_bot

❤1

11 Nov 2026, 05:52 UTC775 viewsread 12 November 2026
Photo

花名:筱晨(嫩妹) 位置:深圳 #南山 课费:1300p 2400pp 私聊:@xiaochen5885 频道:https://t.me/xiaochen05o 双向:@xiaochen5885_bot

Showing the 12 most recent of 650 posts we hold for @szflwbd. 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

@szflwbd edited 7 posts 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
15 August 2026
Most recent edit
4 November 2026

Posts recorded as deleted after publishing

We recorded 3 posts on @szflwbd 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
9 August 2026
Most recent seen missing
2 October 2026
Median time before seen missing
29 hours
Seen missing in the last 30 days
0

Forward network

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 19 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.

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.

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

“深圳枫林榜 @szflw” (@szflwbd), 44,110 subscribers as measured 11 November 2026. Telegram Register, tgregister.com/channel/szflwbd.

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.