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Channel

思思个人频道

@sisi1889999

On this record: Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Cite this entry

194subscribers

+193 since we began measuring on 7 September 2026

Risers and fallers across the register · movement among entries of Under 1,000.

Register entry

Telegram ID-1004370943251
TypeChannel
Username@sisi1889999
Created7 September 2026measured — dated from the channel’s first post
First recorded11 September 2026
Last confirmed live18 September 2026
Measurements held4
Confirmed unchanged1 time, most recently 18 September 2026
On Telegramt.me/sisi1889999

Growth

119497.57 September 2026 — 1 subscribers10 September 2026 — 62 subscribers11 September 2026 — 62 subscribers18 September 2026 — 194 subscribers7 September 202618 September 2026
4 measurements spanning 11 days, net +193. 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”.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
18 Sept 2026, 19:41194+132
11 Sept 2026, 05:2262no change
10 Sept 2026, 15:1862+61
7 Sept 2026, 13:471first reading

Engagement

9 posts held, back to 7 September 2026the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 1 page of Telegram’s post history, 20 posts per page.

ERR · 30 days
149.9%
avg views ÷ 194 subscribers
Avg views / post
291
8 posts measured
Reaction rate
0.476%
reactions ÷ views · ER floor
Posts in window
9
of 9 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 2 of 8 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 11 September 2026
Posts held9 (7 September 202611 September 2026)
Views total2,326
Reactions total2
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken11 Sept 2026, 05:22 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
38s
Average length
13s

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

2 reactions across 2 posts, in 1 kind.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
2100.0%

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 2 of the 9 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 2 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 9 most recent posts we hold, published 7 September 2026 to 11 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

11 Sept 2026, 03:56 UTC24 views1 reactionsread 11 September 2026

——枫林体验 https://t.me/szflw 上课时间:9月10日 老师花名:思思 课室位置:#宝安 #固戍 老师电报:@sisi188999 颜值身材:风骚小妹 体验细节:在各频道到处看了好多老师,最后锁定了思思老师,来之前心怀忐忑,很担心踩雷,直到按照老师指引来到课室看到本人后才放下心来,人照基本没有差别,进来先闲聊几句,交了水费,就摸了摸老师的波波,思思的胸真是又大又软,奶头很敏感,摸着很爽,然后去洗澡,帮洗,洗得很仔细,也很体贴,洗完回课室躺下,AB面服务+毒龙,思思老师舌功了得,舔的好舒服,最喜欢老师用舌尖舔龟头的感觉,感觉很快受不了,就叫老师用69的方式,我不喜欢舔,就用手摸着老师的小BB,摸着摸着就润了,老师也卖力的吮吸着,三浅一深的,唅得我鸡鸡好舒服,在思思不停的进功下,在深喉中被打败,小躺一下洗澡穿衣走人。真是没白来一躺。 推荐程度:🍁🍁🍁🍁🍁 温馨提示:审美因人而异,服务亦有不同,报告好坏皆仅供参考。

1

10 Sept 2026, 05:13 UTC208 viewsread 11 September 2026
Video

开课❤️🈶🈳🈳❤️提前预约哦🌛❤️✈️💋 花名:思思 环保/92/95 位置:深圳 #宝安 #固戍 课费:400✈️500👄888双飞 私聊:@sisi188999 双向:@Sisi188999bot

9 Sept 2026, 04:27 UTC329 viewsread 11 September 2026
Forwarded from @xiuchegongbing

【深圳淘宝修车团报告】 https://telegram.me/xiuchegbdd 【老师花名】#思思 【联系方式】@sisi188999 【老师位置】#宝安#固戍 【工兵留名】夜色 【验证时间】9月8日 【修车费用】499 【颜值身材】馒头又大又白 【服务内容】口爆 【优点缺点】口活棒 【出击体验】频道里看到的颜值和身材,果断约好时间,遥控上楼,开门一看,果然颜值身材很哇塞,老师很有礼貌,课室干净整洁,让人很舒服,简单交流后调好水温让我洗澡,然后上床调情舔,接着老师先从B面开始服务我,柔情似水的舔我的背,用胸部给我推背,接着乳胶,跪着时给我毒龙,吃蛋蛋开始一直到整张口包裹住我的DD,舔了一会那几下深喉搞的我有点受不了了,69给我口的时候,忍不住用手摸妹子的小穴非常紧致,吃起来粉嫩多汁,老师也被我的口技征服,说没遇到像我这么会吃鲍鱼的了,真会说话,老师的吃鸡技巧开始,舔蛋蛋,吃蛋蛋,两个火球在老师的嘴里来回碰撞,被老师玩的明明

8 Sept 2026, 05:24 UTC396 views1 reactionsread 11 September 2026
Forwarded from @sz3hdsrp

【深圳三和修车报告】 https://t.me/sz3hdsrp 【学生留名】:小风 【出击时间】:9月7日 【老师名字】:#宝安思思 【深圳地区】:#宝安#固戍 【出击消费】:500 【颜值身材】:丰满 【服务内容】:口爆 【上课体验】:看到思思老师新人上榜,果断出击,约好时间,准时到达,公寓下面有很大停车场,很方便停车,按照老师指引上楼,开门一见果然跟照片是同一人,皮肤很白,馒头又大又圆,交了水费,思思老师就拉着去洗澡,全程帮洗,也可以裸着陪洗,洗完上床做服务,老师调情很到位,服务态度也好,舌💋也很舒服,也可69,舔蛋,完全很主动,最值的一提的是思思口活是真好,吮吸着我的小弟弟深入浅出的,不急不忙的慢慢口,真的太享受了,在老师牛逼口技下爆老师个满嘴,真是难得碰到这么好的老师,值得推荐一下! 【优点缺点】:主动 【老师电报】:@sisi188999 【满分打分】:9.5 【温馨提醒】:报告仅供参考,请理性选择,切勿对号入座

1

Showing the 9 most recent of 9 posts we hold for @sisi1889999. 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 3 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 18 September 2026 — this entry's latest reading, not the date you are reading this.

“思思个人频道” (@sisi1889999), 194 subscribers as measured 18 September 2026. Telegram Register, tgregister.com/channel/sisi1889999.

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.