🍁深圳枫林晚 - @szflw 私聊老师发送“枫林晚”,优惠福利等着你🍁

Channel
深圳枫林榜 @szflw
@szflwbd
On this record: Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Cite this entry
29,824subscribers
+1,911 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 | -1003397917787 |
|---|---|
| Type | Channel |
| Username | @szflwbd |
| Created | Between 1 November 2025 and 31 March 2026— estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 6 August 2026 |
| Last confirmed live | 14 August 2026 |
| Measurements held | 9 |
| Confirmed unchanged | 1 time, most recently 14 August 2026 |
| On Telegram | t.me/szflwbd |
Growth
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 14 Aug 2026, 12:16 | 29,824 | +481 |
| 13 Aug 2026, 03:14 | 29,343 | +223 |
| 12 Aug 2026, 05:12 | 29,120 | +107 |
| 11 Aug 2026, 05:15 | 29,013 | +227 |
| 10 Aug 2026, 04:46 | 28,786 | +253 |
| 9 Aug 2026, 08:02 | 28,533 | +358 |
| 8 Aug 2026, 06:01 | 28,175 | +227 |
| 7 Aug 2026, 04:48 | 27,948 | +35 |
| 6 Aug 2026, 20:16 | 27,913 | first reading |
Engagement
54 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 20 pagesof Telegram’s post history, 20 posts per page.
- ERR · 30 days
- 1.41%
- avg views ÷ 29,824 subscribers
- Avg views / post
- 421
- 54 posts measured
- Reaction rate
- 0.283%
- reactions ÷ views · ER floor
- Posts in window
- 54
- of 54 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 9 of 54 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 13 August 2026 |
|---|---|
| Posts held | 54 (6 August 2026 – 13 August 2026) |
| Views total | 22,746 |
| Reactions total | 9 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 14 Aug 2026, 02:35 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
- 3m 15s
- Average length
- 11s
Measured directly from 18 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
9 reactions across 8 posts, in 1 kind.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 9 | 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 9 of the 54 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 9reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 54 most recent posts we hold, published 6 August 2026 to 13 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.
Recent posts
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❤1
🍁深圳枫林晚 - @szflw 私聊老师发送“枫林晚”,优惠福利等着你🍁
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花名:莎莎 位置:深圳 #福田 课费:1400p 2500pp 私聊:@sssl0403 频道:https://t.me/+AgjTduu1N2EyMTZl 双向:@sssl0403_bot
❤1
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Showing the 12 most recent of 54 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.
Citation-graph rank
Citation-graph rank — 368,121 of 1,336,469entries 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.
Mentions
Named by 5 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.
@szflw · 33,7209 posts积木 🔍 资源搜索 @jimu
@jimu · 141,6915 posts南山 姬子 · 启行っぽい 嫩妹抓龙筋SPA
@wtqq168 · 12,9282 posts宝安 冰冰 (新人刚下海)
@bingbing144 · 4,6981 post瑶瑶兼职 💋后花园💋
@fffqq12341 · 2,1771 post时光MMK私影恋爱体验馆
@ffxdz6756585 · 3971 post南山小鱼,个人兼职
@hdjdjdjdjhf · 5261 post龙华 茉莉(大美女)
@iy5545 · 3,2921 post南山简悦 & 私享半裸抓龙筋高端SPA
@Joy52088 · 8,1351 post龙华大长腿白虎衣衣频道
@kdnnfjjm · 781 post福田 佳佳的相册
@lanlan520000 · 2271 post积木 供需|抽奖导航 @jimu
@lotteryln · 64,9041 post南山 思欲 疗愈半裸抓龙筋SPA
@Lxzlj52000 · 4,8451 post泰屿会所·变装魅舞
@nanstaiyuvip · 2351 post贵宾厅
@NN07521 · 2,5901 post坂田琪琪开课频道
@qiqi778899001 · 211 post19岁草莓的朋友圈
@qqwrtu · 1,6881 postcoco粉丝们的报告记录
@sizubaogao · 1,4891 post小小菜
@skajajs · 121 post深圳修车导航🚗
@szfenglinwan · 14,5511 post壹水汇.spa会所
@SZHSKYYY · 1,4541 post听风晓月SPA馆
@tingfengSPA · 1,6801 postSM三通小钰个人频道
@xyu20181 · 7751 post深圳枫林晚优惠福利🧧
@youhuila · 8,7421 post
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 14 August 2026 — this entry's latest reading, not the date you are reading this.
“深圳枫林榜 @szflw” (@szflwbd), 29,824 subscribers as measured 14 August 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.