Telegram RegisterThe public register of Telegram

Channel

嫩妹约会福利社

@sznmfl

On this record: Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Handles named that no longer answer · Cite this entry

8,470subscribers

+57 since we began measuring on 7 August 2026

Risers and fallers across the register · movement among entries of 3,162–10,000.

Register entry

Telegram ID-1003869916928
TypeChannel
Username@sznmfl
CreatedBetween 1 February 2026 and 30 June 2026— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded7 August 2026
Last confirmed live14 August 2026
Measurements held4
Confirmed unchanged1 time, most recently 14 August 2026
On Telegramt.me/sznmfl

Growth

8,4128,4708,4417 August 2026 — 8,413 subscribers7 August 2026 — 8,412 subscribers10 August 2026 — 8,419 subscribers14 August 2026 — 8,470 subscribers7 August 202614 August 2026
4 measurements spanning 7 days, net +57. 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 8,403–8,479 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
14 Aug 2026, 06:548,470+51
10 Aug 2026, 22:438,419+7
7 Aug 2026, 17:258,412-1
7 Aug 2026, 07:018,413first reading

Engagement

10 posts held, back to 31 July 2026the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 12 pagesof Telegram’s post history, 20 posts per page.

ERR · 30 days
39.7%
avg views ÷ 8,470 subscribers
Avg views / post
3,360
10 posts measured
Reaction rate
1.32%
reactions ÷ views · ER floor
Posts in window
10
of 10 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 10 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 August 2026
Posts held10 (31 July 202612 August 2026)
Views total33,628
Reactions total437
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken12 Aug 2026, 16:24 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
42s
Average length
14s

Measured directly from 3 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

437 reactions across 9 posts, in 4 distinct kinds. The most used accounts for 74.6% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
32674.6%
👍8719.9%
👏214.81%
🔥30.686%

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 10 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 437reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 10 most recent posts we hold, published 31 July 2026 to 12 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

12 Aug 2026, 13:35 UTC588 viewsread 12 August 2026
Video

⭐派大星包养⭐深圳外围 ⭐全国外围 🥳派大星包养 😊全网🙁纠纷记录 😊见面面试期不满意,100%退介绍费 😊资源真实有效,全部附带和妹子本人视频录屏认证,见面先看视频验证 😊中介费全网最低!!!支持比价! 😊支持新币担保,真实有效,保障客户资金安全 288入会会员永久6折 7888会员仅需4800 6888会员仅需4200 😢🤗😳😳:@hajimiby 派大星包养: t.me/paidaxingby 全网独家|超级好用选妃机器人: t.me/baogexfbot 🥳深圳外围 https://t.me/gougequanguoww 在狗哥这里安排,如果出现人照差距大,AI视频或者见到人以后您不满意,全程您一分钱不用出,车费我自己报销 🥳全国外围 https://t.me/gougequanguoww

12 Aug 2026, 04:32 UTC≈1,120 views5 reactionsread 12 August 2026
Photo

🎉 【南山林雪】白皮大长腿嫩姐 🎁 奖品清单 • P半价优惠券 × 1 🛡️ 参与条件 • 加入 深圳嫩妹约会 • 加入 嫩妹约会回忆录 • 加入 嫩妹约会福利社 • 加入 大学毕业生林雪 • 需消耗软妹币:10 • 必须设置用户名 🔮 祝福加持 • 祝福消耗:50软妹币 • 祝福上限:无上限次 • 祝福一次增加一个抽奖号,提高中奖率 • 幸运值祝福:支持 幸运值说明 ⌛ 抽选时刻 • 2026-08-19 21:30:00 📜 抽奖说明 1、48小时内与老师预约 2、5天内出击,过期无效 3、炸号作废 4、不允许任何形式转让 5、出击完需48小时内提供报告,不提供永久拉黑 ✨ 愿命运之剑指引你们前行,直至胜利之光照耀每一个人。

5

11 Aug 2026, 05:45 UTC≈1,980 views54 reactionsread 12 August 2026
Photo

🥪🥪新下海白皮嫩姐!! 眼神拉丝口活一流热情~~ ⭐️本期嫩妹:@Yqq5588 叶蓁蓁 ⤴️⤴️ 频道点我 ⭐️特点:#白皮 #御姐 #风骚 #性格好 #服务 #口技 #健谈 ⭐️ 详细报告: 点我查看 🍆🍆工兵锐评:新下海的白皮嫩姐,口活很好,口的时候会骚骚的看着你,服务态度都不错~ 🔥🔥🔥 视频见评论区~随手点赞,月入百万🤔🤔

43👍7👏4

10 Aug 2026, 12:43 UTC≈2,330 views42 reactionsread 12 August 2026
Photo

🥪🥪补档! 清纯外表下是个风骚反差眼镜娘嫩妹~~ ⭐️本期嫩妹:@ftyuanyuan 媛儿 ⤴️⤴️ 频道点我 ⭐️特点:168/大长腿/无纹身/学生妹/眼镜娘/热情 ⭐️ 详细报告: 点击查看 🍆🍆工兵锐评:反差很大的18岁妹妹,进门撞见一个眼镜娘,眼神拉丝骚的一批,这还是小嫩妹么。。。 🔥🔥🔥 视频见评论区~随手点赞,月入百万🤔🤔

31👍8👏3

9 Aug 2026, 09:13 UTC≈2,770 views47 reactionsread 12 August 2026
Photo

🥪🥪肤白胜雪!172长腿嫩姐~~ 温柔粘人,高个妹子其实是个小妖精! ⭐️本期嫩妹:@linxueii 林雪 ⤴️⤴️ 频道点我 ⭐️特点:#172 #白皮 #大长腿 #温柔 #乖巧 #身材好 ⭐️ 详细报告: 点击查看 🍆🍆工兵锐评:大家都说林雪身材好,皮肤白屁股大胸软,但我觉得林雪很有小女人味,爱爱会紧紧把你抱紧,做完之后不让你离开,强势的依偎在你怀里3分钟。 🔥🔥🔥 视频见评论区~随手点赞,月入过十万🤔🤔

37👍7👏3

6 Aug 2026, 07:26 UTC≈4,510 views135 reactionsread 12 August 2026
Photo

👅👅夯爆了,新下海18可爱萝莉嫩妹~ 挑不出缺点,身材性格服务都很好!! ⭐️本期嫩妹:@ftdaji 妲己 ⤴️⤴️ 频道点我 ⭐️特点:#18 #新下海 #马甲线 #性格好 #乖巧 #嫩妹服务大师 #无纹身 ⭐️ 详细报告: 点击查看 🍆🍆工兵锐评:身材性格服务楞是没跳出一条毛病来,甚至18岁的妹妹还会冰火两重天??看得出妹妹很用心在学习服务,这妹子我是真喜欢,无脑吃类型 🔥🔥🔥 视频见评论区~看到点赞的都发财🤔🤔 PS:此妹妹课表有拍摄业务

108👍21👏6

4 Aug 2026, 10:59 UTC≈4,820 views42 reactionsread 12 August 2026
Photo

🫣🫣新下海18嫩妹来了!!! 热情活泼JK黄毛萝莉~~ ⭐️本期嫩姐:@tong683 彤彤 ⤴️⤴️ 频道点我 ⭐️特点:#18 #热情 #JK #新下海 #纹身 🍆🍆工兵锐评:颜值其实我挺喜欢的,有点小卡粉,肤色黄皮,妹妹很跳脱有趣特别是娇喘的时候,另外新下海妹就别指望服务了,800吃个嫩不错。 🔥🔥🔥 视频见评论区~看到点赞的都发财🤔🤔

👍2217🔥3

2 Aug 2026, 09:58 UTC≈4,620 views39 reactionsread 10 August 2026
Photo

😎😎强哥,我想吃你妹了~~ 短发秀气御姐,身材服务都在线!! ⭐️本期嫩姐:@Jingjing99910 七七 ⤴️⤴️ 频道点我 ⭐️特点:#御姐 #眼镜娘 #服务 #深喉 #性格好 #人工白虎 🍆🍆工兵锐评:短发秀气御姐,性格大大咧咧相处起来很舒服,服务很好把你搞得服服帖帖的,不反感世界波值得尝试~ 🔥🔥🔥 视频见评论区~看到点赞的都发财🤔🤔

29👍7👏3

2 Aug 2026, 08:02 UTC≈5,580 views36 reactionsread 10 August 2026
Photo

👅👅奶奶奶全是奶! 美乳嫩姐,服务一流~ ⭐️本期嫩姐:@lanxisz1 蓝汐 ⤴️⤴️ 频道点我 ⭐️特点:#E乳 #美乳 #服务流 #口技好 🍆🍆工兵锐评:人照8,胸很大形状很好,乳头乳晕不会像别的巨乳那般大,捏起来很舒服,胸控福音,在澳门会所干过,服务没的说,属于服务型老师~ 🔥🔥🔥 视频见评论区~看到点赞的都发财🤔🤔

26👍10

31 Jul 2026, 07:29 UTC≈5,310 views37 reactionsread 9 August 2026
Photo

🤗🤗背心小短裤!小小嫩萝~ 刚下海不久,大家温柔点调教! ⭐️本期嫩妹:@shu520520 小薯 ⤴️⤴️ 频道点我 ⭐️特点:#18 #刚下海 #服务弱 #紧穴 ⭐️ 详细报告: 点我查看 🍆🍆工兵锐评:下海不久的黄皮皮肤紧致嫩妹,轮嫩无可挑剔,论服务毛服务,推荐喜欢吃嫩的去调教调教,对服务有任何需求的兄弟都建议暂时不要预约。 🔥🔥🔥 视频见评论区~看到点赞的都发财🤔🤔

30👍5👏2

Showing the 10 most recent of 10 posts we hold for @sznmfl. 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 — 251,359 of 1,345,403entries 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.

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 1 registered channel — 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.

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.

“嫩妹约会福利社” (@sznmfl), 8,470 subscribers as measured 14 August 2026. Telegram Register, tgregister.com/channel/sznmfl.

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.