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Channel

同盟会报告榜

@tztmn2

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

7,398subscribers

+1,490 since we began measuring on 8 August 2026

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

Register entry

Telegram ID-1003912905921
TypeChannel
Username@tztmn2
CreatedBetween 1 April 2026 and 6 August 2026 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded8 August 2026
Last confirmed live1 September 2026
Measurements held10
Confirmed unchanged1 time, most recently 1 September 2026
On Telegramt.me/tztmn2

Growth

5,9087,3986,6538 August 2026 — 5,908 subscribers8 August 2026 — 5,911 subscribers11 August 2026 — 6,079 subscribers14 August 2026 — 6,362 subscribers17 August 2026 — 6,562 subscribers20 August 2026 — 6,745 subscribers24 August 2026 — 6,942 subscribers27 August 2026 — 7,039 subscribers30 August 2026 — 7,274 subscribers1 September 2026 — 7,398 subscribers8 August 20261 September 2026
10 measurements spanning 24 days, net +1,490. 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 5,685–7,622 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
1 Sept 2026, 23:537,398+124
30 Aug 2026, 06:037,274+235
27 Aug 2026, 14:437,039+97
24 Aug 2026, 12:386,942+197
20 Aug 2026, 14:066,745+183
17 Aug 2026, 19:236,562+200
14 Aug 2026, 22:566,362+283
11 Aug 2026, 10:046,079+168
8 Aug 2026, 15:285,911+3
8 Aug 2026, 14:155,908first 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 5 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
3.03%
avg views ÷ 7,398 subscribers
Avg views / post
224
54 posts measured
Reaction rate
0.305%
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 8 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 20 August 2026
Posts held54 (6 August 202620 August 2026)
Views total12,096
Reactions total7
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken20 Aug 2026, 12:53 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.

Reaction mix

7 reactions across 6 posts, in 1 kind.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
7100.0%

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 8 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 7 reactions 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 20 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

20 Aug 2026, 12:43 UTC28 viewsread 20 August 2026

【台州同盟会】 https://t.me/tztmn3 【验证时间】:2026-08-20 【老师名字】:桃夭夭 【老师账号】:@Hbvbsn 【验证留名】:C(萌新版) 【人照相似】:9 【颜值身材】:7 【服务评分】:7 【态度评分】:8 【课室环境】:7 【体验过程】:进门就看到老师化了全妆穿着女仆装迎接,很好看,基本和照片上一模一样,交了水费后就开始洗澡了,虽然没有陪浴,不过这也不重要,洗完就躺着等老师服务,老师虽然是嫩妹,但是也能有唇吻漫游,舔奶奶这些服务,之后就开始口了,老师的口技还可以,没有齿感,带套进入之后发现老师居然是白虎,虽然好像是人工的,但也是难能可贵了,老师反应也很大,反馈十足,看着很有成就感,最后传教士体位爽出。

20 Aug 2026, 10:05 UTC100 viewsread 20 August 2026

【台州同盟会】 https://t.me/tztmn3 【验证时间】:2026-08-20 【老师名字】:楠楠 【老师账号】:@jiujiuwawa 【验证留名】:海绵宝宝 【人照相似】:6 【颜值身材】:6 【服务评分】:7 【态度评分】:7 【课室环境】:5 【体验过程】:老师是一个比较善解人衣的,进去就会帮你脱光然后带你去浴室洗澡,她会全部脱光帮你洗上面,洗下面,然后洗的差不多了给你再吹一下,让你一开始就全身都放松下来。然后进入房间就开始先付个费用,付完费用帮你擦干了,开始让翻身平卧趴在床上,然后会给你一个背面全裸游走服务,服务过程一直会亲着你的全身,然后双手一直握住小弟弟,让人很放松,没过多久就开始给你毒龙舔蛋蛋,让菊花一阵酸爽,会有一定的肿胀感,反正这方面服务是综合来说比较耐心的。时间大概过了几分钟后背面的服务应该结束了,然后就是正面,一开始还是酥酥麻麻的游走舔乳,靠的非常近服务大概过了3分钟就是一个口交,大概口交了几

20 Aug 2026, 07:57 UTC143 viewsread 20 August 2026

【台州同盟会】 https://t.me/tztmn3 【验证时间】:2026-08-20 【老师名字】:魔丸萝 【老师账号】:@A_Amonymousyt 【验证留名】:无糖 【人照相似】:6 【颜值身材】:6 【服务评分】:5 【态度评分】:7 【课室环境】:8 【体验过程】:新来的小萝莉,一定要去吃吃看,定点抢到工兵。约课还算顺利,在路桥公寓。开门后,老师身穿一身jk,白袜,兔子拖鞋,精致妆容,150左右,95斤,有点壮硕,黑黄皮,一口一个哥哥,叫人都麻了。不过还算嫩,愉快的交了水费,各自洗澡,没有一次性用品,看来老师第一次下海,什么都不懂,没准备。后来聊天发现,老师才17岁,16岁破处,很久没做了,第一次下海,什么都不懂,可以原谅,一股青涩感。 上床后,老师口的技术还不错,就是时间不长,然后老师让我自己戴套,额,说自己不会,看来真的青涩啊。接着女上,老师艰难的慢慢插进去,一直说痛,我小鸡鸡也被夹着痛,算了换我传教吧,传教

20 Aug 2026, 07:55 UTC137 viewsread 20 August 2026

【台州同盟会】 https://t.me/tztmn3 【验证时间】:2026-08-20 【老师名字】:摇一摇 【老师账号】:@Yyy9127 【验证留名】:God bless you 【人照相似】:8 【颜值身材】:7 【服务评分】:10 【态度评分】:10 【课室环境】:8 【体验过程】:刷到极品少妇,果断出击,见到老师,嗯,很有感觉,那种韵味,迷人的女人味,身材修长,凹凸有致,小蛮腰 大长腿,美滋滋,询问是澳门过来的,职业素养很高,甚是欢喜,洗香香,少妇最为迷人的地方就在于,举手投足散发的女人味,上头,我愿沉沦少妇,不愿醒来。B面毒龙 实实在在,口技了得,丝滑漫游,口的也很爽,滋润,口的时候还会 撅着屁股凑过来,让你一探芳野,情绪价值拉满,遭不住,戴套女上起手,润的一批,湿哒哒的,很紧,很会摇,扭的贼销魂,神色糜烂纵欲,极品少妇,随机传教士,开M字,很会迎合,让你每一下都顶到底,伴随阵阵娇喘,阴道开始收缩 抽动,搅动这鸡

20 Aug 2026, 04:33 UTC175 viewsread 20 August 2026

【台州同盟会】 https://t.me/tztmn3 【验证时间】:2026-08-20 【老师名字】:奶盖 【老师账号】:@taotao520131 【验证留名】:无糖 【人照相似】:7 【颜值身材】:6 【服务评分】:7 【态度评分】:8 【课室环境】:8 【体验过程】:喜中100优惠券,丝滑约课。地点在椒江新小区,还算安全。开门后,又是3个妹妹在一个房间,还是那么欢乐。奶盖老师很可爱,拉着我进房间,交了水费,带着洗个残废澡,态度好评,妹妹很开朗,话很多,不冷场。 上床后,开始口,口技术很棒,果然姐姐懂的多点,时间也久。随后戴套女上,很紧,很热,老师摇的很卖力,时不时发出娇喘。一会老师累了,换我传教,一边吸着老师的嫩足,一边爽出。

20 Aug 2026, 04:29 UTC154 viewsread 20 August 2026

【台州同盟会】 https://t.me/tztmn3 【验证时间】:2026-08-20 【老师名字】:菁菁 【老师账号】:@jing668869 【验证留名】:尘鞍 【人照相似】:7 【颜值身材】:7 【服务评分】:7 【态度评分】:7 【课室环境】:7 【体验过程】:期盼许久,佳人终归。约在七夕见面,或许也属缘分。开门相见,依旧是那粉色的媚儿,一身粉色连衣裙,淡粉色的胭脂抹在两颊,渐渐的唇色,是令人心颤的颜值。寒暄片刻,便进入沐浴环节。每一寸肌肤,前面后面,都被她精心清洗。我们互相简单擦干,来到课室,她挑选了一条崭新的白丝穿上,便开始温存。 灵巧的舌头先在我乳尖跳跃、盘旋,再一路向下,来到已经抬头的地方。令人惊叹的口技让我彻底沉浸在温柔乡里,含得又深又软,舌尖不断挑弄前端,时不时用喉咙轻轻挤压。待下面涨得不行,才戴上套子进入。真的很紧很紧,肉壁被一寸寸突破又紧紧摩擦包裹的感觉,直达最底部。感受着下体的交融,我忍不住浅吻身下

20 Aug 2026, 04:28 UTC139 viewsread 20 August 2026

【台州同盟会】 https://t.me/tztmn3 【验证时间】:2026-08-20 【老师名字】:兔兔 【老师账号】:@tutu080900 【验证留名】:α「花香蓝莓🫐」休息⏰ 【人照相似】:7 【颜值身材】:5.9 【服务评分】:7 【态度评分】:7 【课室环境】:7 【体验过程】:算是二刷兔兔老师了。熟门熟路摸到老师楼下。 一开门,老师穿着一身极具视觉冲击力的黑色透视性感内衣迎接,车灯亮眼。老师的态度温柔健谈、全程不冷场,服务意识拉满。 没让老师陪洗,自己冲洗了,老师帮忙擦干。先b面按摩了会儿,指滑,吸皮 ,水漫,毛推臀推服务是直接拉满,纯舌毒龙,一边摸着蛋蛋一边顶,胯下吹 太舒服了,开4简直是女菩萨。换a面 不得不说老师的口技,一刷的时候就有点顶不住了。二刷直接被老师口爆了。 口的实在太舒服。直接射老师嘴里了。嘿嘿123了,果断要了pp 休息了会儿 老师调会儿情 就骑上来开摇。很润。老师累了就开始传教士开凿。

20 Aug 2026, 04:27 UTC158 viewsread 20 August 2026

【台州同盟会】 https://t.me/tztmn3 【验证时间】:2026-08-20 【老师名字】:啦啦酱 【老师账号】:@lalajiang11 【验证留名】:God bless you 【人照相似】:7 【颜值身材】:7 【服务评分】:7 【态度评分】:7 【课室环境】:7 【体验过程】:丝滑约课 见面穿的洛丽塔,发现老师奶子还挺大的 闲聊会边去洗浴 洗澡的时候发现老师的纹身还挺好看的 正面反面都有认真洗 来到床上,还有胸推跟深喉 服务算不错的了 不一会儿 老师已经湿透了 求着哥哥要进来 我说那你自己坐上来吧 她好像真的很久没有做过了一时不知道如何女上位 进去那一瞬间 我感觉被两团热火包围 老师也情不自禁的自己动了起来 换到男上位的时候 老师的白浆已经出来了 这让我更兴奋 让她把白丝穿上 腿架在我的脖子上 不一会儿老师就潮红了 我问她最喜欢什么姿势 她说后入 我哪能忍 调

19 Aug 2026, 16:04 UTC219 views1 reactionsread 20 August 2026

【台州同盟会】 https://t.me/tztmn3 【验证时间】:2026-08-19 【老师名字】:菁菁 【老师账号】:@jing668869 【验证留名】:棱镜 【人照相似】:8 【颜值身材】:9 【服务评分】:7 【态度评分】:7 【课室环境】:7 【体验过程】:按时到达目的地,丝滑进入。刚进门有点不知所措,随后闲聊。菁菁颜值很高啊,本人比频道照片更好看,画着个淡妆,披着长发,走在路上我都要回头看的。身材瘦瘦的该有肉的地方有肉。洗完澡躺下,吃了一会菁菁,随后菁菁开始服务,舔熊舔的好爽,然后舔蛋蛋口,口活很好,菁菁长在了我的审美上比较对胃口,弟弟比较敏感一直流水,随后戴套深入交流,进去了好爽非常紧致,随后123出货了。

1

19 Aug 2026, 13:58 UTC222 viewsread 20 August 2026

【台州同盟会】 https://t.me/tztmn3 【验证时间】:2026-08-19 【老师名字】:夏天 【老师账号】:@gsxt777 【验证留名】:海森堡 【人照相似】:6 【颜值身材】:6 【服务评分】:6 【态度评分】:6 【课室环境】:7 【体验过程】:【过程】:拍下工兵,ls指挥上楼,位置还算安全,到了之后先洗了一个残废澡,有水中箫,然后换b面,胸推臀推简单服务后,换a面,ls口活很不错还有深喉看得出来ls吃的很卖力,然后进入正题,先是传教,在后入,最后在后入中出货,去的有点迟,彼此都有点疲惫,总结是一次不错的cj

19 Aug 2026, 10:32 UTC219 viewsread 20 August 2026

【台州同盟会】 https://t.me/tztmn3 【验证时间】:2026-08-19 【老师名字】:泉泉 【老师账号】:@quanquan201314 【验证留名】:Kobetaizhou 【人照相似】:8 【颜值身材】:7 【服务评分】:5 【态度评分】:9 【课室环境】:4 【体验过程】:抽中的泉泉-200的卷,跟ls约了时间就出击了。泉泉和双胞胎在一个地方,有实力的朋友可以4P,哈哈哈哈。人照相识度很高,颜值可以比较干净。有符文跟双胞胎一样属于精神小妹符文战士。皮肤手感不错,胸也有B,对欲望的刺激度还可以。起手式就是口,69舔逼。户型干净漂亮也没什么味道。口硬了以后带伞作业,温润感不错,紧度还行,各种动作都会配合运动,全程无机车

19 Aug 2026, 09:36 UTC217 views1 reactionsread 20 August 2026

【台州同盟会】 https://t.me/tztmn3 【验证时间】:2026-08-19 【老师名字】:妲己 【老师账号】:@daji08888 【验证留名】:God bless you 【人照相似】:9 【颜值身材】:8 【服务评分】:8 【态度评分】:8 【课室环境】:8 【体验过程】:以下是扩写后的版本(约500字): 见到妲己,一如既往的妩媚娇羞,那对媚眼半遮半露,唇角带着若有若无的笑意,看得我心头一热。如此娇滴滴的尤物,肌肤胜雪,身段柔软,我便甚是喜欢。先拿漱口水仔细漱了一下口,清清爽爽,随后蛇了她一口,唇齿间全是她身上淡淡的体香,甜丝丝的,口水都变得香甜,美滋滋的。 我急不可耐地脱去衣物,抱着她走进浴池,温热的水漫过身体。双手慢慢抚摸爱妃娇嫩的肌肤,从纤细的脖颈滑到圆润的肩头,再往下揉捏那对柔软丰盈,指尖轻点她小腹上细嫩的肌理。此情此景,我便当一回纣王,尽情宠幸这惑国的狐狸精。 浴后擦干,我将她抱上床榻,立刻

1

Showing the 12 most recent of 54 posts we hold for @tztmn2. 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 — 143,319 of 1,629,808 entries 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

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 1 September 2026 — this entry's latest reading, not the date you are reading this.

“同盟会报告榜” (@tztmn2), 7,398 subscribers as measured 1 September 2026. Telegram Register, tgregister.com/channel/tztmn2.

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.