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Channel

昆明💕董思琪💥的频道

@dongsiqi1

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

90subscribers

+32 since we began measuring on 17 October 2026

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

Register entry

Telegram ID-1003969300842
TypeChannel
Username@dongsiqi1
CreatedBetween 1 April 2026 and 31 August 2026 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded17 October 2026
Last confirmed live25 October 2026
Measurements held4
Confirmed unchanged1 time, most recently 25 October 2026
On Telegramt.me/dongsiqi1

Growth

58907417 October 2026 — 58 subscribers17 October 2026 — 58 subscribers18 October 2026 — 75 subscribers25 October 2026 — 90 subscribers17 October 202625 October 2026
4 measurements spanning 8 days, net +32. 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 53–95 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
25 Oct 2026, 11:0490+15
18 Oct 2026, 15:0175+17
17 Oct 2026, 21:2258no change
17 Oct 2026, 20:4758first reading

Engagement

10 posts held, back to 22 September 2026 — the 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
88.5%
avg views ÷ 90 subscribers
Avg views / post
79.7
6 posts measured
Reaction rate
—
this channel exposes no reaction counts
Posts in window
6
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.

What these figures were computed from
WindowRolling 30 days · latest post in window 17 October 2026
Posts held10 (22 September 2026 – 17 October 2026)
Views total478
Reactions total—
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken17 Oct 2026, 21:22 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
24s
Average length
5s

Measured directly from 5 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

1 reaction across 1 post, in 1 kind.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
❤1100.0%

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 1 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 1 reactions 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 22 September 2026 to 17 October 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

17 Oct 2026, 10:42 UTC98 viewsread 17 October 2026
Video

😛 名称:#董思琪 📍 地区:#福州 #台江 💰 价格:#5P #10PP 😒 认证:#视频认证 ✈️ 联系:@dongsiqi 💟 频道:@dongsiqi1 🤖 双向:@dongsiqiBOT 🏷 标签:#六九 #口爆 #共浴

17 Oct 2026, 10:38 UTC26 viewsread 17 October 2026
Forwarded from @fuzhzourzzyPhoto

😛 名称:#董思琪 📍 地区:#福州 #台江 💰 价格:#5P #10PP 😒 认证:#视频认证 ✈️ 联系:@dongsiqi 💟 频道:@dongsiqi1 🤖 双向:@dongsiqiBOT 🏷 标签:#六九 #口爆 #共浴

17 Oct 2026, 10:11 UTC91 viewsread 17 October 2026
Photo

开课🀄️么么哒🉑🈷️🏠科室🉑蛇纹💋🉑6️⃣9️⃣🉑⬆️🚪🉑✌️🉑口爆……🈳

17 Oct 2026, 10:08 UTC89 viewsread 17 October 2026
Video

[所在位置]: 福州 台江区 [服务详情]: 约好时间上门,董思琪老师穿着性感紧身的黑色短裙和高跟鞋开门迎接,身材高挑火辣,前凸后翘,皮肤又白。她不冷场,很善于交谈,挺有趣的,聊天过程中一直笑盈盈的,让人感觉很放松又舒服。让人血脉偾张,果断交了水费。 洗完后老师直接开始服务,先是用柔软的大奶子贴着正面指滑、胸推,边磨边调情,舔着奶头,瞬间欲火撩拨得直往上窜。老师接着用那湿热柔软的小嘴含住的弟弟,口活一流,吸吮舔,爽得头皮发麻。 要了69互相伺候,老师下面已经湿得一塌糊涂。然后老师主动骑在我身上,Q弹屁股上下疯狂套弄,那又紧又热的小穴像一张小嘴一样死死包裹着小弟弟,层层叠叠地吸吮,爽得我点当场投降。 我翻身把老师压在身下猛干,老师浪叫着“老公好硬、好深”,水声啪啪作响,小穴里面又湿又烫,紧紧咬着不放。我边操边揉她又软又弹的奶子,呻吟越来越骚。最后在我猛烈冲刺下,我也在她一声声娇媚的老公叫声中缴械投降。 [机车行为]:…

17 Oct 2026, 10:07 UTC80 viewsread 17 October 2026
Video

艺名:#董思琪💃白领 位置:🏠福州🉑上门 🈶科室🏠 三围:#26岁 #身高165 #体重50kg #胸C🐻 联系: @dongsiqi 双向机器人 @dongsiqiBOT 频道: @dongsiqi1 群聊:@dongsiqi2 🏷️:#鸳鸯浴 #口爆#69#舍吻💋逼紧 #女友感 #情趣丝袜 #制服诱惑 #各种姿势 🈲 磕药 酒驾 打桩机 ———————— 分割线 ————————🥳

26 Sept 2026, 05:29 UTC619 views1 reactionsread 17 October 2026
Photo

【妹子花名】: 董思琪 【所在位置】: 宜昌、伍家岭 【修车费用】: 500P/1000pp 【联系方式式】: @dongsiqi 🈳🉑🈷️🀄️各位老公们……

❤1

25 Sept 2026, 07:20 UTC638 viewsread 17 October 2026

🈳开课🈳🉑🈷️🏠科室🈶🈳🀄️么么哒😗中秋节🥮快乐🎊各位哥哥🧍‍♂️们、我今天照常营业开课🀄️么么哒🉑🈷️

Showing the 10 most recent of 10 posts we hold for @dongsiqi1. 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

Republishes

Channels on the register whose posts this channel has forwarded.

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 2 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 25 October 2026 — this entry's latest reading, not the date you are reading this.

“昆明💕董思琪💥的频道” (@dongsiqi1), 90 subscribers as measured 25 October 2026. Telegram Register, tgregister.com/channel/dongsiqi1.

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.