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Telegram profile photo for 彤彤杭州

Channel

彤彤杭州

@ttxz55

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

2,381subscribers

+214 since we began measuring on 10 September 2026

Risers and fallers across the register · movement among entries of 1,000–3,162.

Register entry

Telegram ID-1004360255815
TypeChannel
Username@ttxz55
Created24 August 2026measured — dated from the channel’s first post
First recorded10 September 2026
Last confirmed live15 September 2026
Measurements held4
Confirmed unchanged1 time, most recently 15 September 2026
On Telegramt.me/ttxz55

Growth

2,1672,3812,27410 September 2026 — 2,167 subscribers10 September 2026 — 2,167 subscribers12 September 2026 — 2,321 subscribers15 September 2026 — 2,381 subscribers10 September 202615 September 2026
4 measurements spanning 5 days, net +214. 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 2,135–2,413 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
15 Sept 2026, 13:172,381+60
12 Sept 2026, 04:212,321+154
10 Sept 2026, 08:222,167no change
10 Sept 2026, 07:472,167first reading

Engagement

7 posts held, back to 24 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 1 page of Telegram’s post history, 20 posts per page.

ERR · 30 days
28.8%
avg views ÷ 2,381 subscribers
Avg views / post
686
5 posts measured
Reaction rate
0.175%
reactions ÷ views · ER floor
Posts in window
7
of 7 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 5 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 9 September 2026
Posts held7 (24 August 20269 September 2026)
Views total3,429
Reactions total4
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken10 Sept 2026, 08:22 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
16s
Average length
8s

Measured directly from 2 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

4 reactions across 2 posts, in 2 distinct kinds. The most used accounts for 50.0% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
250.0%
😭250.0%

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 7 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 4 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 7 most recent posts we hold, published 24 August 2026 to 9 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

9 Sept 2026, 14:36 UTC120 viewsread 10 September 2026
Forwarded from @HzdxBGp

📖杭州大学专用报告📖 https://telegram.me/hz_dx 【课程评价】:#好评 【老师花名】:#彤彤 【联系方式】:@tthz22 【课时费用】:1000pp 【老师类型】:嫩御 【验证留名】:才 【验证时间】:9.9 【课室位置】:余杭良渚 【课程服务】: ▪️事前陪浴 ▪️69互舔 ▪️事后陪浴 【人照相似】:9 【身高体重】:净身高估计有166 【肤色罩杯】:黄皮B杯 【纹身数量】:无 【课室卫生】:整洁,有一次性牙刷,漱口水,一次性用品 【个人卫生】:不抽烟 【服务态度】:有无鸽子,无罚站 【详情反馈】: #老师缺点 这个价位没有缺点, #老师优点 身材,颜值,最主要价格在杭州绝对守门员 #情绪价值 优 #出击体验与流程总结 上个月看到彤彤老师到杭州断开,没机会约上,这次又来了,说是回去相亲失败了,今天刚刚来不会错过,看照片的确还可以,也想着去试试,见到本人的确不错,很高,生财非常苗条,看照片没有胸,脱完

24 Aug 2026, 13:45 UTC≈1,110 views3 reactionsread 10 September 2026
Video

不是我自己全部报销路费,杭州断开几天

😭21

Showing the 7 most recent of 7 posts we hold for @ttxz55. 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 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.

Names

Channels on the register whose handles appear in this channel's posts.

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

“彤彤杭州” (@ttxz55), 2,381 subscribers as measured 15 September 2026. Telegram Register, tgregister.com/channel/ttxz55.

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.