Telegram RegisterThe public register of Telegram

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
TypeChannel
Username@szflwbd
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 live14 August 2026
Measurements held9
Confirmed unchanged1 time, most recently 14 August 2026
On Telegramt.me/szflwbd

Growth

27,91329,82428,868.56 August 2026 — 27,913 subscribers7 August 2026 — 27,948 subscribers8 August 2026 — 28,175 subscribers9 August 2026 — 28,533 subscribers10 August 2026 — 28,786 subscribers11 August 2026 — 29,013 subscribers12 August 2026 — 29,120 subscribers13 August 2026 — 29,343 subscribers14 August 2026 — 29,824 subscribers6 August 202614 August 2026
9 measurements spanning 8 days, net +1,911. 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 27,626–30,111 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
14 Aug 2026, 12:1629,824+481
13 Aug 2026, 03:1429,343+223
12 Aug 2026, 05:1229,120+107
11 Aug 2026, 05:1529,013+227
10 Aug 2026, 04:4628,786+253
9 Aug 2026, 08:0228,533+358
8 Aug 2026, 06:0128,175+227
7 Aug 2026, 04:4827,948+35
6 Aug 2026, 20:1627,913first reading

Engagement

54 posts held, back to 6 August 2026the 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.

What these figures were computed from
WindowRolling 30 days · latest post in window 13 August 2026
Posts held54 (6 August 202613 August 2026)
Views total22,746
Reactions total9
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken14 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.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
9100.0%

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

13 Aug 2026, 12:00 UTC597 viewsread 14 August 2026
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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🍁

13 Aug 2026, 08:38 UTC742 views0 reactionsread 14 August 2026
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位置不同,价格有点偏差,私我了解价格🐆 先收定金的都是骗子,本人的是到店付费,不收任何定金 东莞94也可安排 95 时间60分钟568 口💋爆 🈶️独立的卫生间🛁口爆👅射嘴里 真舌毒🐉,真🐼调情,舌尖漫游👅,舔蛋蛋,蛇绕缠身🐍,69🔥式互口,环游口👄69式互口💋躺着口👄横着口💋竖着口👄站着口👄深喉口,最后无套射妹妹嘴里,95包括94的项目 会所SPA94 时间70分钟398一498 背部头部放松按摩,蚂蚁上树🐜十指弹琴👏丝袜诱惑👠,背部舌尖漫游👅,胸推臀推,高山流水💦,真舌毒龙🐉,69式互舔💋蛋蛋吃鲍鱼,🦎蛇绕全身,舌尖画太阳☀️,等等各种绝技,最后,🌺式调情,手推出水, 独家96口爆2次750 96服务如下 梦幻联动艳舞挑逗💃🏼 吸🍳舔🍳深🐒🫦爆(爆第一次) 🐻推🐼压🫦罐拔痧 🇯🇵日式毒🐲倒挂金钩🪝 🧊🔥吐珠,🐻滑全身 🇺🇸美式毒🐲🐻推🐻打 👅扫禁区🧹抓🐲筋 爱的魔

13 Aug 2026, 07:40 UTC756 viewsread 14 August 2026
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坐标: #南山 艺名:#小叶老师 #好评推荐 频道:https://t.me/Joy52088 个性标签:#治疗型疗愈抓龙筋 #舒缓精油SPA #前列腺前高开发# 脱衣舞 #养生瑶浴SPA #丝足入魂 #魅惑变装 #边缘脱敏训练 深圳(独家)简悦 & 疗愈型治疗型古法抓龙筋天花板,以男性健康为核心,专研手法多年,提升JJ持久度、软硬度、敏感度,快速恢复生殖巅峰状态。注重疗愈效果,全方位体验感,情绪价值,轻奢高端的氛围环境,喋喋迷音,享受你我独处的私密空间,丝足入魂,丝丝入心脱衣舞。泡泡浴SPA,沉醉于你我的浪漫,抓龙筋带来的极致刺激,极致诱惑,三起三落,脱敏训练,前列腺保养前高开发,酥麻酸爽,欲罢不能,高潮迭起🤩🤩 🧑‍🎓快速预约: 私聊:@Joy88888 QQ : 3544946767 v x : mojunru020 (小叶子) 双向机器人🤖:@Joy88888bot 营业时间:12:00 - 02:00

13 Aug 2026, 07:29 UTC717 viewsread 14 August 2026
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花名:王建国 位置:深圳 #南山 课费:1500p 2500pp 私聊:@Wjg888a 频道:https://t.me/+DBaMoSBK5sw0YzQ1 双向:@Szgefwjgbot

12 Aug 2026, 17:37 UTC158 views1 reactionsread 12 August 2026
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花名:李狗蛋(嫩妹) 位置:深圳 #南山 课费:1500p 2500pp 私聊:@Lgdmm 频道:https://t.me/+Tkf1ueNaWtlkZDVl 双向:@Lgdmmbot

1

12 Aug 2026, 12:00 UTC433 viewsread 12 August 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 Aug 2026, 09:29 UTC554 viewsread 12 August 2026
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花名:琪琪(新人) 位置:深圳 #龙岗 #坂田 课费:700p 1400pp 私聊:@qiqi118899 频道:https://t.me/qiqi778899001 双向:@qiqideshuangxiangbot

12 Aug 2026, 09:27 UTC528 viewsread 12 August 2026
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【行政区-会所名字】 南山-壹水汇*SPA按摩*会所 【价格区间】店内价格568预约价格498 【会所详细地址】广东省深圳市南山区粤海街道南海大道乐杜鹃艺术酒店2楼 #南山#南海街道#粤海区#深圳#会所#spa ✅#南山#壹水汇•spa会所 预约热线: ✈️:@SZHSKY 微信:LMM--5200 QQ:1853861721 频道链接:https://t.me/SZHSKYYY 双向联系:@SZHSKYBBOT ⏰营业时间:下午12:00-凌晨 06:00 💰项目收费:门店568预约价498 🔞服务流程:全身放松,半裸调情,舌尖漫游, 🎹十指弹琴⛰高山流水,海底捞月,趴式毒🐲、贵妃偷桃🍑,亲咪咪吸舔🥚,可摸下路,丝足调情,69互动,✋🏻🐻🦶🏻出,可安排双飞,时间内可2氵,免费留宿。 港式按摩94~00~05后小妹妹 ⚠️没报预约号一律按正规按摩处理⚠️ 🧍‍♀️挑选佳丽🧍‍♀️:到店里去选,不满意可以换,选

12 Aug 2026, 07:01 UTC80 viewsread 12 August 2026
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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) 👉 助力可提升搜索排名与曝光 🚀

12 Aug 2026, 05:56 UTC166 views1 reactionsread 12 August 2026
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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

12 Aug 2026, 05:40 UTC214 viewsread 12 August 2026
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花名:莉莉 位置:深圳 #南山 课费:700p 1400pp 私聊:@lili5359 频道:@linlin4675 双向:@linlin5359_bot

12 Aug 2026, 05:00 UTC210 viewsread 12 August 2026
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花名:米可(莞式) 位置:深圳 #福田 课费:1000p 1600pp 私聊:@mike188mike 频道:https://t.me/mike8877123 双向:@xiaoxingyun333_bot

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.

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.