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Channel

报告榜

@tiyan0666

On this record: Topic · Growth · Engagement · Reactions · Posts · Citations · Cite this entry

17,264subscribers

+4,423 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-1002914010450
TypeChannel
Username@tiyan0666
CreatedBetween 1 August 2025 and 31 October 2025 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded6 August 2026
Last confirmed live19 September 2026
Measurements held34
Confirmed unchanged1 time, most recently 19 September 2026
On Telegramt.me/tiyan0666

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 10 September 2026 and assigned it the closest of 31 fixed categories, at 60% 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

12,84117,26415,052.56 August 2026 — 12,841 subscribers7 August 2026 — 12,906 subscribers8 August 2026 — 13,036 subscribers9 August 2026 — 13,127 subscribers10 August 2026 — 13,240 subscribers11 August 2026 — 13,315 subscribers12 August 2026 — 13,387 subscribers13 August 2026 — 13,563 subscribers15 August 2026 — 13,817 subscribers16 August 2026 — 13,965 subscribers17 August 2026 — 14,184 subscribers18 August 2026 — 14,276 subscribers19 August 2026 — 14,403 subscribers20 August 2026 — 14,483 subscribers21 August 2026 — 14,654 subscribers23 August 2026 — 14,817 subscribers24 August 2026 — 14,961 subscribers25 August 2026 — 15,075 subscribers26 August 2026 — 15,187 subscribers27 August 2026 — 15,302 subscribers28 August 2026 — 15,405 subscribers29 August 2026 — 15,489 subscribers30 August 2026 — 15,590 subscribers31 August 2026 — 15,683 subscribers1 September 2026 — 15,738 subscribers2 September 2026 — 15,822 subscribers3 September 2026 — 15,938 subscribers5 September 2026 — 16,148 subscribers8 September 2026 — 16,415 subscribers11 September 2026 — 16,634 subscribers13 September 2026 — 16,738 subscribers15 September 2026 — 16,859 subscribers17 September 2026 — 17,071 subscribers19 September 2026 — 17,264 subscribers6 August 202619 September 2026
34 measurements spanning 44 days, net +4,423. 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 12,178–17,927 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 34
Measured (UTC)SubscribersChange
19 Sept 2026, 13:5817,264+193
17 Sept 2026, 00:2117,071+212
15 Sept 2026, 01:2016,859+121
13 Sept 2026, 10:2016,738+104
11 Sept 2026, 11:2116,634+219
8 Sept 2026, 17:5916,415+267
5 Sept 2026, 14:0016,148+210
3 Sept 2026, 11:5515,938+116
2 Sept 2026, 07:2315,822+84
1 Sept 2026, 07:2915,738+55
31 Aug 2026, 09:3315,683+93
30 Aug 2026, 10:4715,590+101
29 Aug 2026, 13:1315,489+84
28 Aug 2026, 16:3415,405+103
27 Aug 2026, 15:2715,302+115
26 Aug 2026, 17:3915,187+112
25 Aug 2026, 15:5415,075+114
24 Aug 2026, 16:2414,961+144
23 Aug 2026, 03:1414,817+163
21 Aug 2026, 17:5414,654first reading

Engagement

52 posts held, back to 21 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 53 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
2.19%
avg views ÷ 17,264 subscribers
Avg views / post
378
21 posts measured
Reaction rate
0.304%
reactions ÷ views · ER floor
Posts in window
21
of 52 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 21 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 3 September 2026
Posts held52 (21 July 20263 September 2026)
Views total7,933
Reactions total13
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken3 Sept 2026, 10:17 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

21 reactions across 16 posts, in 7 distinct kinds. The most used accounts for 47.6% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
1047.6%
👏314.3%
👍29.52%
💯29.52%
🔥29.52%
😍14.76%
🥰14.76%

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 17 of the 52 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 21 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 52 most recent posts we hold, published 21 July 2026 to 3 September 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

3 Sept 2026, 06:10 UTC46 viewsread 3 September 2026

【时间】:2026-08-31 【老师】:南枝 【留名】:上帝 也疯狂 【评价】:👍 好评 【人照】:9 【颜值】:10 【身材】:9 【服务】:10 【态度】:10 【环境】:9 【综合】:9.5 【过程】:中的老师的半价,老师红休结束回来了,于是跟老师约好时间。按照老师遥控上门(公寓楼下没有门禁,方便进出),第一眼看到老师就被老师温柔的眼神吸引住了,人照一致,身材和描述的一样,主打一个真实(像这么真实的老师真的很少了),老师虽然皮肤黝黑了一点,但颜值真的不错,说话也很温柔。课室干净整洁,一进门老师就递水递鞋,因为我是中的半价,然后正常验一下券(个人觉得这非常正常,而且老师也提前说了不接受转让,本人出击,不接受的就别抽了呗)。交完水费后鸳鸯浴,洗干擦干就躺床上开始服务,老师真的很好看,把老师盯着都不好意思了,害羞的样子更让人爱不惜手,口活不错,一点齿感都没有,两个巨乳又大又软,口的差不多了,戴上小雨伞,传教士起手,边啃着巨乳,

1 Sept 2026, 18:50 UTC169 viewsread 3 September 2026

【时间】:2026-09-02 【老师】:婉儿 【留名】:精武门 【评价】:👍 好评 【人照】:8 【颜值】:8 【身材】:9 【服务】:9 【态度】:8 【环境】:7 【综合】:8.17 【过程】:有幸中了老师的半价P券,知道老师开课了立马约上,不惜开了一小时车来到老师的上课地点,还算好找,进了教室环境还行就是教室有点小,是那种公寓,老师服务很好,舔得很舒服,不叫停一直舔,下面也很紧水也多,而且老师很嫩,二十不到的样子,胸也很大,很软有轻微下垂,老师不是那种瘦小型,身上有肉感,操起来反映很强烈!

1 Sept 2026, 12:15 UTC363 viewsread 3 September 2026

【时间】:2026-09-01 【老师】:语汐 【留名】:匿名 【评价】:👍 好评 【人照】:9 【颜值】:10 【身材】:10 【服务】:9 【态度】:9 【环境】:9 【综合】:9.33 【过程】:进门见到语汐妹妹,当时真的被惊艳到,远比照片上要漂亮颜值高的多,简单互撩缓解尴尬之后,开始浴室洗澡,语汐妹妹帮我前后洗完再来了一波水中萧,爽的我浑身鸡皮疙瘩,洗澡后我迫不及待的把她抱上床,语汐妹妹开始用小舌头舔我的身上,语汐的舌头还真挺软的,舔的我身上酥酥麻麻的真是舒服。语汐妹妹的口活也不错,先是把蛋蛋含在嘴里,又吸又允搞的我像是躺在了云里雾里。接着突然把弟弟放到了嘴里,上下的套弄, 我手也顺着摸笑笑妹妹下面的小逼,bb就流了很多的水。扒开小逼看看粉粉嫩嫩的很干净,忍不住一口吃了上去,相互69吃了一波,爽差不多了,就让妹妹帮我带上套子直接插了进去。感觉小逼又滑又紧,包裹性特别强,我先是传教士让妹妹爽了一会,接着让妹妹换到上面,没想

1 Sept 2026, 09:45 UTC136 viewsread 3 September 2026

【时间】:2026-09-01 【老师】:芊芊 【留名】:匿名 【评价】:👍 好评 【人照】:9 【颜值】:9 【身材】:9 【服务】:9 【态度】:9 【环境】:8 【综合】:8.83 【过程】:第一次在群里出击,见面发现妹子很嫩,s型身材好吧,腰窄腿细,皮肤也滑,看着就硬了,大🐻更是糊一脸,妹子态度很好,不催客,值得出击

1 Sept 2026, 04:17 UTC496 viewsread 3 September 2026

【时间】:2026-09-01 【老师】:小可爱 【留名】:匿名 【评价】:👍 好评 【人照】:9 【颜值】:9 【身材】:10 【服务】:10 【态度】:9 【环境】:9 【综合】:9.33 【过程】:看到老师在线就直接约了,回复很快,人也很爽快,一点都没有拖泥带水。见面之前其实还有点担心第一次见面会尴尬,结果一看到人就彻底放心了——真人跟照片几乎一模一样,身材匀称,属于偏御姐的那种感觉,皮肤也好,整体给人的第一印象就很舒服。 到地方休息了一会儿就交了水费,老师帮洗的时候特别细心,动作很温柔,完全没有那种粗糙或者敷衍的感觉,整个人很放松。上了床之后前戏也很到位,口技温柔细腻,几乎感觉不到牙齿,对比较敏感的人特别友好。正式开始前她还会再确认一下,很有耐心,完全以对方的体验感为主。 坐在身上的时候身材更明显,腰细、水多、紧致,过程中也很自然地主动拥吻,完全没有扭捏做作,整场下来更像是在跟一个大方、有感觉的女朋友在一起,而不是单纯的

30 Aug 2026, 12:00 UTC196 viewsread 3 September 2026

✨ 命运揭晓时刻 ✨ (广佛)老师联合抽奖🧧活动 开奖了 抽奖人数:285,抽奖号数:1683 1. 科比【祝福7次】 中得:🧧26 2. 一剑诛仙镇八荒🗡️【祝福2次】 中得:🧧26 3. 里去不了【祝福1次】 中得:🧧26 4. 三天三夜【祝福22次】 中得:🧧26 5. 还是你牛【祝福25次】 中得:🧧26 6. 我是爱你的【祝福26次】 中得:🧧26 7. 噩梦【祝福1次】 中得:🧧26 8. 咔咔咔【祝福4次】 中得:🧧26 抽奖说明: 本活动由几个老师联合抽奖,中奖联系 @laoshijio_bot 兑奖 🔍 杜绝黑幕,点击查看本次开奖全程验证

30 Aug 2026, 08:55 UTC483 viewsread 3 September 2026

【时间】:2026-08-30 【老师】:珊珊 【留名】:匿名 【评价】:👍 好评 【人照】:9 【颜值】:9 【身材】:9 【服务】:9 【态度】:9 【环境】:9 【综合】:9 【过程】:来到房间坐着休息一下。老师跨坐上来亲了一会,然后再去沐浴,老师帮洗,然后帮擦干,进房间帮忙擦脚,趴着开始背面服务,亲耳朵是真受不了,指滑也很痒哈哈。皮肤很滑,就在背上摩擦,转身后开始A面,亲了一会,抹了一下下面,来水了。哈哈然后再服务一会开始69,反馈真实,突然一下水更多了,继续亲了会,没异味还可以,水挺多。然后等老师穿雨衣,穿之前再给口了一下,开始进攻,本想着换俩姿势,奈何123了,休息了一会洗漱离开了,空了再去。愉快的出击。

29 Aug 2026, 08:55 UTC783 viewsread 3 September 2026

【时间】:2026-08-29 【老师】:倩倩 【留名】:匿名 【评价】:👍 好评 【人照】:9 【颜值】:10 【身材】:10 【服务】:9 【态度】:10 【环境】:9 【综合】:9.5 【过程】:一周之内二倩倩老师了,没招,感觉跟倩老师做就像有魔力似的,太爽了。老师做爱特投入,让你也不知不觉跟着融进去了,那种肉体心灵上一起爽的感觉真的难得。而且老师情商无敌高,直接情绪价值也拉满了。还会再刷,不想交作业,怕以后排不上,但是又不能食言,真特么#纠结

29 Aug 2026, 06:32 UTC757 views1 reactionsread 3 September 2026

【时间】:2026-08-29 【老师】:可欣 【留名】:匿名 【评价】:👍 好评 【人照】:10 【颜值】:9 【身材】:9 【服务】:9 【态度】:10 【环境】:9 【综合】:9.33 【过程】:交个可欣老师的作业。无论是颜值和身材都是很不错,又纯又御,长腿蜜桃臀很性感,皮肤光滑细腻,老师很会调情,前戏做的很足,kh无齿感,舌吻通透,胸手感很棒,小穴紧致水润,后入视觉拉满,腰臀比绝佳,老师技术很到位,服务态度热情友好。

1

29 Aug 2026, 06:04 UTC138 viewsread 3 September 2026

【时间】:2026-08-29 【老师】:小蓝莓 【留名】:東京~好嗨~熱FUN 【评价】:👍 好评 【人照】:9 【颜值】:9 【身材】:9 【服务】:8 【态度】:8 【环境】:8 【综合】:8.5 【过程】:好幸运连续中了小蓝莓的半价,刚好在周五天气晴朗待老师开课抓紧机会立即预约。按照指引顺利到达,开门看到小蓝莓人照有9成相似,颜值挺高的身材也很好。见面交流几句就立即交水费一起去浴室冲洗,小蓝莓属于慢热的妹妹,一开始比较害羞后面慢慢熟悉了话题就会滔滔不绝。冲洗后来到床上小蓝莓服务不算多,不过课表有的都有,口技没问题也很认真,口了好一段时间我看没有要停的迹象,主动叫停小蓝莓让她帮带伞入正题。小蓝莓的颜值身材确实很棒,天然C杯随节奏摆动让人欲罢不能,而且柔软手感舒服,床上反馈也很真实。感觉来了能明显感觉到小b越来越紧。各种姿势体验过后最后选择传教士抓这大🐻出水。不介意服务少的颜值党匈奴可以推荐出击,而且放在600这个档位性价比

Showing the 12 most recent of 52 posts we hold for @tiyan0666. 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.

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 20 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 19 September 2026 — this entry's latest reading, not the date you are reading this.

“报告榜” (@tiyan0666), 17,264 subscribers as measured 19 September 2026. Telegram Register, tgregister.com/channel/tiyan0666.

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.