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Channel

合肥资源榜

@hefeisangonliuyuan2

On this record: Topic · Growth · Engagement · What this channel posts · Posts · Posts edited after publishing · Posts recorded as deleted · Citations · Handles named that no longer answer · Cite this entry

79,955subscribers

+23,885 since we began measuring on 7 August 2026

Risers and fallers across the register · movement among entries of 31,623–100,000.

Register entry

Telegram ID-1001487884310
TypeChannel
Username@hefeisangonliuyuan2
Description上榜认证管理: @zzx8999 合肥 上门 嫩妹 少妇 御姐 学生 资源↙️ 找老师认准出击推广群:https://t.me/hefeisangonliuyuan1
CreatedBetween 1 April 2019 and 30 September 2021 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded7 August 2026
Last confirmed live8 November 2026
Measurements held62
Confirmed unchanged1 time, most recently 8 November 2026
On Telegramt.me/hefeisangonliuyuan2

Topic

Other / unclassifiable — a classification, not a measurement. An on-box language model (Qwen3.6-35B-A3B-UD-Q6_K_XL, prompt version 1) read this channel’s own recent posts on 21 August 2026 and assigned it the closest of 31 fixed categories, at 78% 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

56,07080,72168,395.579,9557 August 20268 November 2026
62 measurements spanning 93 days, net +23,885. 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 52,372–84,419 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 62
Measured (UTC)SubscribersChange
8 Nov 2026, 06:5179,955-766
6 Nov 2026, 23:0980,721+374
6 Nov 2026, 01:1680,347+341
5 Nov 2026, 01:4180,006+398
3 Nov 2026, 22:0679,608+221
3 Nov 2026, 00:0679,387+562
1 Nov 2026, 21:2778,825+434
31 Oct 2026, 17:2778,391+508
30 Oct 2026, 14:3077,883+551
29 Oct 2026, 11:3077,332+404
28 Oct 2026, 07:1976,928+133
27 Oct 2026, 05:4776,795+983
26 Oct 2026, 08:3675,812+192
25 Oct 2026, 10:1575,620+374
24 Oct 2026, 09:5675,246+381
23 Oct 2026, 08:3674,865+559
22 Oct 2026, 11:0174,306+392
21 Oct 2026, 02:1873,914+297
20 Oct 2026, 03:1773,617+692
19 Oct 2026, 00:0072,925first reading

Engagement

327 posts held, back to 4 August 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 195 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
0.838%
avg views ÷ 79,955 subscribers
Avg views / post
670
121 posts measured
Reaction rate
—
this channel exposes no reaction counts
Posts in window
122
of 327 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 8 November 2026
Posts held327 (4 August 2026 – 8 November 2026)
Views total81,080
Reactions total—
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken8 Nov 2026, 14:33 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

Photos
≈4,210
Videos
≈672
Links
≈638

Lifetime counters from Telegram’s own channel header, read 8 November 2026 — not the date at the top of this page, which is when the subscriber count was last read. A count marked ≈ was rounded by Telegram before we ever saw it — t.me prints these counters in full below 1,000 and to three significant figures above, so ≈142,000 means somewhere between 141,500 and 142,499.

Video runtime
23m 36s
Average length
9s

Measured directly from 155 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.

Recent posts

Telegram’s own ‘edited’ marker: 7 of 122 posts held from the last 30 days (5.74%) carried it when this register last read them. The marker says a post was changed after publishing, not what it said before — this register holds the earlier wording only where an edit fell between two of its own reads (see the edit ledger and how it is measured).

8 Nov 2026, 13:28 UTC96 viewsread 8 November 2026
Photo

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8 Nov 2026, 12:05 UTC176 viewsread 8 November 2026
Photo

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8 Nov 2026, 09:42 UTC250 viewsread 8 November 2026
Photo

坐标:#合肥 #蜀山区 花名:#兮兮(新人刚下海) 课费:800p-1600pp 私聊:@xixi77700 双向:@xiaa8877_bot 频道:https://t.me/xixi777000 #服务详情参见课 ↘️下方评论反馈体验报告

8 Nov 2026, 09:38 UTC235 viewsread 8 November 2026
Photo

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7 Nov 2026, 10:01 UTC488 viewsread 8 November 2026
Photo

坐标:#合肥 #瑶海区 花名:#萱萱 课费:700p-1300pp 私聊:@xuanxuan00678 双向:@xuanxuan9396_bot 频道:https://t.me/xuanxuan9370 #服务详情参见课 ↘️下方评论反馈体验报告

7 Nov 2026, 09:40 UTC497 viewsread 8 November 2026
Photo

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7 Nov 2026, 08:58 UTC442 viewsread 8 November 2026
Photo

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7 Nov 2026, 08:40 UTC431 viewsread 8 November 2026
Photo

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7 Nov 2026, 07:15 UTC452 viewsread 8 November 2026
Video

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6 Nov 2026, 14:56 UTC733 viewsread 8 November 2026

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6 Nov 2026, 12:19 UTC768 viewsread 8 November 2026
Photo

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6 Nov 2026, 04:35 UTC669 viewsread 7 November 2026
Photo

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Showing the 12 most recent of 327 posts we hold for @hefeisangonliuyuan2. 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.

Posts edited after publishing

@hefeisangonliuyuan2 edited 10 posts after it first published — the same permalink now carries different wording than the one this register originally read, caught because our own crawl held a copy of the earlier text.

An edit is not deception. Typo fixes, price updates and corrections look exactly like this too — this register can tell you the wording changed and when, not why. How this is measured.

First edit seen
18 August 2026
Most recent edit
6 November 2026

Posts recorded as deleted after publishing

We recorded 6 posts on @hefeisangonliuyuan2 as deleted — posts this register held that were missing from the channel’s public page on two separate reads, taken from different network addresses at least an hour apart.

A deletion is not wrongdoing. This register can see that a post it held is no longer on the channel’s public page, and when — not why. Expired ad placements, reposts, rotating links and corrections all look the same. This is a count of recorded detections, not an exact total: it misses deletions we could not see, because only a post we held and later re-read inside the page can be seen to go, and it may include a small number of wrong records. How this is measured.

First seen missing
7 August 2026
Most recent seen missing
7 November 2026
Median time before seen missing
19 hours
Seen missing in the last 30 days
3

Mentions

Named by 4 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 8 November 2026 — this entry's latest reading, not the date you are reading this.

“合肥资源榜” (@hefeisangonliuyuan2), 79,955 subscribers as measured 8 November 2026. Telegram Register, tgregister.com/channel/hefeisangonliuyuan2.

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.