花名:哎呀哎呀(SM) 位置:深圳 #福田 课费:1000p 1800pp SM : 1500p 2800pp 私聊:@ayay123123 频道:https://t.me/ayay7788i 双向:@mm50321_bot

Channel
深圳枫林榜 @szflw
@szflwbd
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
40,598subscribers
+12,685 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 |
|---|---|
| Type | Channel |
| 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 |
| 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 | 25 October 2026 |
| Measurements held | 48 |
| Confirmed unchanged | 1 time, most recently 25 October 2026 |
| On Telegram | t.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 why it has no browse page of its own yet.
Growth
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 25 Oct 2026, 04:09 | 40,598 | +192 |
| 24 Oct 2026, 02:39 | 40,406 | +74 |
| 23 Oct 2026, 04:29 | 40,332 | +91 |
| 22 Oct 2026, 01:20 | 40,241 | -16 |
| 20 Oct 2026, 16:36 | 40,257 | +94 |
| 19 Oct 2026, 15:28 | 40,163 | +180 |
| 18 Oct 2026, 12:54 | 39,983 | +671 |
| 17 Oct 2026, 11:11 | 39,312 | +479 |
| 16 Oct 2026, 08:10 | 38,833 | +231 |
| 15 Oct 2026, 11:30 | 38,602 | +103 |
| 14 Oct 2026, 14:38 | 38,499 | +456 |
| 13 Oct 2026, 03:16 | 38,043 | +1,298 |
| 8 Oct 2026, 18:55 | 36,745 | +49 |
| 4 Oct 2026, 04:58 | 36,696 | -196 |
| 25 Sept 2026, 09:40 | 36,892 | +910 |
| 17 Sept 2026, 06:56 | 35,982 | +170 |
| 15 Sept 2026, 07:40 | 35,812 | +145 |
| 13 Sept 2026, 16:41 | 35,667 | +375 |
| 11 Sept 2026, 20:21 | 35,292 | +595 |
| 9 Sept 2026, 07:19 | 34,697 | first reading |
Engagement
530 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 147 pages of Telegram’s post history, 20 posts per page.
- ERR · 30 days
- 0.986%
- avg views ÷ 40,598 subscribers
- Avg views / post
- 400
- 237 posts measured
- Reaction rate
- 0.175%
- reactions ÷ views · ER floor
- Posts in window
- 237
- of 530 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 47 of 237 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 25 October 2026 |
|---|---|
| Posts held | 530 (6 August 2026 – 25 October 2026) |
| Views total | 94,891 |
| Reactions total | 33 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 25 Oct 2026, 23:11 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
- ≈8,550
- Videos
- ≈1,160
- Links
- ≈1,210
Lifetime counters from Telegram’s own channel header, read 25 October 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
- 32m 34s
- Average length
- 10s
Measured directly from 195 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
112 reactions across 90 posts, in 8 distinct kinds. The most used accounts for 55.4% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 62 | 55.4% | |
| 👍 | 19 | 17.0% | |
| 🔥 | 9 | 8.04% | |
| 👏 | 7 | 6.25% | |
| 💯 | 7 | 6.25% | |
| 🎉 | 5 | 4.46% | |
| 👀 | 2 | 1.79% | |
| 👎 | 1 | 0.893% |
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 124 of the 530 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 112 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 530 most recent posts we hold, published 6 August 2026 to 25 October 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
花名:南山小嫩妹 位置:深圳 #南山 课费:1300p 2200pp 私聊:@YY55153 频道:https://t.me/+eHKCoGg3sMQ3ODdl 双向:@YY556bot
🍁深圳枫林晚 - @szflw 私聊老师发送“枫林晚”,优惠福利等着你🍁
花名:王梓欣(舞蹈老师) 位置:深圳 #南山 课费:1500p 2500pp 私聊:@WangZiXin9 频道:https://t.me/+LALJiNIx98wzMWMx 双向:@WangZiXinbot
深圳 #嫩妹 中高端(全区) #千元档 #可外出(需要车费🚘) #福田 #南山 #宝安 #沙井 #龙华 #龙岗 #罗湖 妹子自带工作室,小区公寓,安全卫生(见到妹妹合适付费给妹妹,不合适可以离开,没有看见人之前不收一分钱) 靠谱面付❤️趁年轻多做爱 无任何隐形消费,无套路❤️ 频道链接 https://t.me/uu1567888 客服 @uu7979111 双向联系机器人 @uu7979111bot 🍁枫林晚上榜编号:9830
花名:萱儿(巨乳) 位置:深圳 #龙岗 #坂田 课费:600p 1100pp 私聊:@Xer88o 频道:https://t.me/xuaner001xx 双向:@xuaner88_bot
❤2
花名:淼淼 位置:深圳 #福田 课费:700p 1300pp 私聊:@miaomiao9889 频道:https://t.me/miaomiao22889 双向:@miaomiao6868_bot
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🚀
花名:源源 位置:深圳 #南山 课费:1400p 2500pp 私聊:@aayuanu 频道:https://t.me/Ecy003x 双向:@Szyyjqrbot
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🍁深圳枫林晚 - @szflw 私聊老师发送“枫林晚”,优惠福利等着你🍁
花名:玟玟 位置:深圳 #南山 课费:1400p 2500pp 私聊:@Ww5208888 频道:https://t.me/Szjxyfy1 双向:@Sedchjqrzbot
Showing the 12 most recent of 530 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 6 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
- 1 October 2026
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 17 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.
@lotteryln · 62,13962 posts深圳枫林晚优惠福利🧧
@youhuila · 9,47615 posts深圳枫林报告 @szflw
@szflbg · 20,6026 posts南山 初音· あんじ 疗愈私密抓龙筋SPA
@ggs66633 · 12,8013 posts深圳修车导航🚗
@szfenglinwan · 16,4653 posts南山 姬子 · 启行っぽい 嫩妹抓龙筋SPA
@wtqq168 · 8,2343 posts贝贝 小屋(裸身SPA)
@beibei88793 · 5401 post温雅个人濒道
@dthsbsijbxbehiijjd · 6331 post南山 梦境·漫语裸身古法抓龙筋 SPA
@mjmy12888 · 1,0971 post罗湖沐沐
@MumuLuohu · 3,8771 post灵儿的小窝
@ruyan62 · 5791 post罗湖莎莎💋💋管式服务
@szsasa668 · 1221 post南山七七的捕梦网💭🤍🕸️
@szxinqi · 1491 post龙华曦曦(甜妹)自聊兼职❤️
@XIXIOO2 · 1571 post小钰个人频道
@xyu20268 · 8001 post南山07莹莹
@ying5203 · 7521 post南山栖栖里 疗愈私密抓龙筋 SPA
@Yyepm · 5,8091 post
Names
Channels on the register whose handles appear in this channel's posts.
@szflw · 38,17382 posts积木 🔍 资源搜索 @jimu
@jimu · 123,90254 posts积木 供需|抽奖导航 @jimu
@lotteryln · 62,13914 posts深圳修车导航🚗
@szfenglinwan · 16,46513 posts深圳枫林晚优惠福利🧧
@youhuila · 9,47611 posts深圳枫林报告 @szflw
@szflbg · 20,6026 posts依依频道
@hdhehhg · 2124 posts南山栖栖里 疗愈私密抓龙筋 SPA
@Yyepm · 5,8094 posts深圳南山艾希(骚姐姐)剧情👅bb 足交 野战SM🐶圣水💦
@Aixiw93 · 17,0983 posts深圳南山反差婊源源的兼职日常
@Ecy003x · 3,4123 posts南山琳琳的频道
@ling0733 · 2,8453 posts深圳兔女郎•丝足SM抓龙筋SAP疗愈型
@manman_666999 · 4,7063 posts19岁草莓的朋友圈
@qqwrtu · 4,0493 posts深圳枫林学生荟
@szdld · 25,9923 posts听风晓月SPA馆
@tingfengSPA · 1,9893 posts南山 姬子 · 启行っぽい 嫩妹抓龙筋SPA
@wtqq168 · 8,2343 posts深圳🔥🔥南山🔥175小糯米御姐极品冷白皮车模1群
@xiaonuomihenbang · 20,4673 posts深圳【龙华欣欣】36D大🐻
@xiaoyull69 · 1,6783 posts小钰个人频道
@xyu20268 · 8003 posts贝贝 小屋(裸身SPA)
@beibei88793 · 5402 posts南山简悦 & 私享半裸抓龙筋高端SPA
@Joy52088 · 7,3412 posts南山糖心🍑UP主骚柯美御姐SM
@kemei188 · 9,4142 posts8️⃣
@LN66889900 · 3802 posts潮喷💦SM👠剧情📸道具
@qyr5455 · 8,6442 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.
Handles this channel named that no longer answer
- Dead references
- 4
- handles named in this channel’s posts, vacant today
- Evidenced gone
- 3
- we ourselves saw one of these resolve, at some point
- Never seen alive
- 1
- vacant every time we have ever looked
@szflwbd named 4 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.
Evidenced gone
We ourselves saw each of these resolve to a real page at some point before it went vacant — a genuine, evidenced change, not an inference from absence.
named in 1 post, 15 October 2026 – 15 October 2026 · confirmed gone 22 October 2026 (two independent sightings — see how we confirm a dead handle)evidenced
named in 1 post, 12 October 2026 – 12 October 2026 · confirmed gone 14 October 2026 (two independent sightings — see how we confirm a dead handle)evidenced
named in 1 post, 10 August 2026 – 10 August 2026 · confirmed gone 2 October 2026 (two independent sightings — see how we confirm a dead handle)evidenced
Never seen alive
References a handle that is not a live channel — we have no record it ever was one.
named in 1 post, 17 October 2026 – 17 October 2026
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 25 October 2026 — this entry's latest reading, not the date you are reading this.
“深圳枫林榜 @szflw” (@szflwbd), 40,598 subscribers as measured 25 October 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.