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Telegram profile photo for 武汉客户反馈

Channel

武汉客户反馈

@whhl9598

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

362subscribers

+182 since we began measuring on 10 October 2026

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

Register entry

Telegram ID-1004324645695
TypeChannel
Username@whhl9598
CreatedBetween 1 June 2026 and 30 September 2026 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded10 October 2026
Last confirmed live3 November 2026
Measurements held4
Confirmed unchanged1 time, most recently 3 November 2026
On Telegramt.me/whhl9598

Topic

Other / unclassifiable — a classification, not a measurement. An on-box language model (qwen3.6:35b-a3b, prompt version 1) read this channel’s own recent posts on 3 November 2026 and assigned it the closest of 31 fixed categories, at 68% 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 the other topics.

Growth

180365272.510 October 2026 — 180 subscribers13 October 2026 — 283 subscribers20 October 2026 — 365 subscribers3 November 2026 — 362 subscribers36210 October 20263 November 2026
4 measurements spanning 24 days, net +182. 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 152–393 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
3 Nov 2026, 22:18362-3
20 Oct 2026, 00:58365+82
13 Oct 2026, 23:36283+103
10 Oct 2026, 21:22180first reading

Engagement

18 posts held, back to 8 October 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
65.0%
avg views ÷ 362 subscribers
Avg views / post
235
16 posts measured
Reaction rate
0.341%
reactions ÷ views · ER floor
Posts in window
18
of 18 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 4 of 16 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 10 October 2026
Posts held18 (8 October 2026 – 10 October 2026)
Views total3,766
Reactions total3
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken10 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.

Reaction mix

3 reactions across 3 posts, in 1 kind.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
❤3100.0%

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 4 of the 18 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 3 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 18 most recent posts we hold, published 8 October 2026 to 10 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

10 Oct 2026, 05:11 UTC222 viewsread 10 October 2026
Photo

#武汉 #会所 #会所 今日强推:305 037 116 服务天花板,好评满天飞 预约客服: @hk95980 双向机器人: @xt112bot

9 Oct 2026, 05:15 UTC290 viewsread 10 October 2026
Photo

老师编号:003 温柔体贴,声音御姐,身材一绝 会的活多 预约客服: @hk95980

8 Oct 2026, 12:23 UTC323 viewsread 10 October 2026
Photo

老师编号:119 身高:160 体重 95 胸围:c杯 颜值在线,制服控 老师控 好评满天飞

8 Oct 2026, 12:22 UTC271 viewsread 10 October 2026
Photo

老师编号:003 身高:160 体重:100 服务好 会配合 温柔

8 Oct 2026, 12:21 UTC264 viewsread 10 October 2026
Photo

老师编号:027 身高:158 体重:100 胸围:c➕ 服务天花板,配合度高 可胸推,可六九,可毒龙

8 Oct 2026, 12:19 UTC249 viewsread 10 October 2026
Photo

老师编号:170 身高:163 体重102 服务在线,颜值在线,温柔

8 Oct 2026, 12:18 UTC247 views1 reactionsread 10 October 2026
Photo

老师编号:256号 身高:160 体重105 胸围:D杯 温柔体贴,服务到位

❤1

8 Oct 2026, 12:17 UTC230 viewsread 10 October 2026
Photo

老师编号:116号 身高:158 体重96 服务天花板,好评多多 🉑69

Showing the 12 most recent of 18 posts we hold for @whhl9598. 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.

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 3 November 2026 — this entry's latest reading, not the date you are reading this.

“武汉客户反馈” (@whhl9598), 362 subscribers as measured 3 November 2026. Telegram Register, tgregister.com/channel/whhl9598.

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.