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Channel
解忧素材文案馆
@wenan80
On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Advertising · Posts · Citations · Handles named that no longer answer · Cite this entry
15,802subscribers
+4,406 since we began measuring on 7 August 2026
Risers and fallers across the register · movement among entries of 10,000–31,623.
Register entry
| Telegram ID | -1002422688421 |
|---|---|
| Type | Channel |
| Username | @wenan80 |
| Created | Between 1 September 2024 and 31 March 2025 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 7 August 2026 |
| Last confirmed live | 9 September 2026 |
| Measurements held | 20 |
| Confirmed unchanged | 1 time, most recently 9 September 2026 |
| On Telegram | t.me/wenan80 |
Topic
Gambling & betting — a classification, not a measurement. An on-box language model (Qwen3.6-35B-A3B-FP8, prompt version 1) read this channel’s own recent posts on 10 September 2026 and assigned it the closest of 31 fixed categories, at 99% 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 why it has no browse page of its own yet.
Growth
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 9 Sept 2026, 17:37 | 15,802 | -12 |
| 6 Sept 2026, 10:20 | 15,814 | -12 |
| 4 Sept 2026, 03:40 | 15,826 | +1 |
| 2 Sept 2026, 20:08 | 15,825 | -15 |
| 1 Sept 2026, 20:16 | 15,840 | +7,404 |
| 30 Aug 2026, 05:07 | 8,436 | -14 |
| 27 Aug 2026, 13:17 | 8,450 | -315 |
| 24 Aug 2026, 11:08 | 8,765 | -337 |
| 21 Aug 2026, 02:17 | 9,102 | -163 |
| 18 Aug 2026, 12:54 | 9,265 | -738 |
| 17 Aug 2026, 09:55 | 10,003 | -104 |
| 15 Aug 2026, 16:37 | 10,107 | -6 |
| 14 Aug 2026, 03:17 | 10,113 | -675 |
| 12 Aug 2026, 22:46 | 10,788 | -105 |
| 11 Aug 2026, 21:27 | 10,893 | -5 |
| 10 Aug 2026, 19:16 | 10,898 | -228 |
| 9 Aug 2026, 16:02 | 11,126 | -263 |
| 8 Aug 2026, 16:11 | 11,389 | -7 |
| 7 Aug 2026, 17:01 | 11,396 | no change |
| 7 Aug 2026, 16:50 | 11,396 | first reading |
Engagement
182 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 41 pages of Telegram’s post history, 20 posts per page.
- ERR · 30 days
- 2.24%
- avg views ÷ 15,802 subscribers
- Avg views / post
- 354
- 129 posts measured
- Reaction rate
- 0.525%
- reactions ÷ views · ER floor
- Posts in window
- 129
- of 182 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 15 of 129 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 2 September 2026 |
|---|---|
| Posts held | 182 (4 August 2026 – 2 September 2026) |
| Views total | 45,656 |
| Reactions total | 18 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 3 Sept 2026, 10:17 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
- 21m 50s
- Average length
- 9s
Measured directly from 150 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
20 reactions across 17 posts, in 3 distinct kinds. The most used accounts for 65.0% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| 👍 | 13 | 65.0% | |
| ❤ | 5 | 25.0% | |
| 🔥 | 2 | 10.0% |
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 21 of the 182 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 20 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 182 most recent posts we hold, published 4 August 2026 to 2 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.
Advertising
- Ad load
- 2.20%
- 4 of 182 posts carry an ad marker
- Regulatory tokens
- 0
- none — marked by hashtag only
- Median views · ads
- 50.0
- over 4 measured posts
- Median views · rest
- 460
- over 178 measured posts
An ad marker, not a judgement about a post. A post is counted here because it carries one of two explicit markings: an erid token, which Russian law has required on paid placements since 2022 and which is issued against a specific advertising contract, or a #реклама / #ad hashtag in the body, which is the channel declaring it itself. The first is documentary; the second is a self-declaration and is weaker. No classifier reads the text and decides — nothing on this site guesses that a post is an advertisement.
This is a floor, and it can only ever be a floor. A channel that runs paid placements without marking them produces no marker for us to count, and an unmarked ad is indistinguishable from an ordinary post on the public surface. The ad load above therefore means “the share of posts that declared themselves”, never “the share of posts that were paid for”. A low figure is not evidence of a channel that runs few ads.
Both figures are medians, and no ratio between them is published. Each is a view reading that actually occurred on a post, picked by percentile_disc rather than averaged, so one viral post cannot move it and no interpolated value is invented between two readings. The sample on one side is under five posts, which is too thin to compare. The two figures are shown side by side with the count behind each, and deliberately not divided into a headline like “ads get x% fewer views” — an arithmetic that is easy to print and, at this sample size, means nothing.
Measured over the 182 most recent posts we hold, published 4 August 2026 to 2 September 2026. Views are the latest single reading held for each post, and any reading at or above 1,000 is rounded by Telegram to three significant figures.
Recent posts
老师你错了 这个社会只有强与弱没有对与错
🔥1
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薄凉的秋天真的来了,空气中透着一种莫名其妙的疏离感
或许你也喜欢过我 在那些聊天记录里
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见过好多人 像你的发 像你的眼 但都不是你的脸
一路走来都是老师 感谢离开 感谢伤害 感谢爱
你从来都不缺人陪 只是在无聊的时候想起我
小时候以为义气值千金 后来才发现江湖问路不问心
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Showing the 12 most recent of 182 posts we hold for @wenan80. 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
Names
Channels on the register whose handles appear in this channel's posts.
@guochan7 · 52,51311 posts【182官方频道】赌王之王
@svip182999 · 12,74411 posts182体育雅典娜机器人
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@U99GBH · 3,5069 posts8K国际 大赢家聚集地
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@N1GF888 · 6,0155 postsN9.COM|官方频道
@N9_com1 · 11,6505 postsN9.COM 福利频道导航
@n9pd888 · 7,9615 posts球速体育--福利通知-PG-电子-真人百家乐
@qs77999 · 12,2715 postsPG/麻将糊了/体育/电子/百家乐应有尽有
@qs7999 · 12,6475 posts【球速体育】官方合营招商
@QSTYZY · 9295 posts赌王之王-PG电子/麻将胡了/捕鱼/百家乐/棋牌
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@tiyu182zs · 3,3555 postsM.GAME官方频道
@mgame9527 · 12,0724 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.
Handles this channel named that no longer answer
- Dead references
- 1
- handles named in this channel’s posts, vacant today
- Evidenced gone
- 1
- we ourselves saw one of these resolve, at some point
- Never seen alive
- 0
- vacant every time we have ever looked
@wenan80 named 1 handle that resolve to nothing today. That is a fact about the reference, not necessarily a fact about the handle’s history — see the two groups below.
Most of these may never have existed as a live channel at all. A handle a channel names can be a typo, an aspirational name nobody registered, or a channel that was already gone before this one ever mentioned it. Unless a row below is marked evidenced, all we know is that it references a handle that is not a live channel today — not that anything “died”. How this is measured.
Evidenced gone
We ourselves saw each of these resolve to a real page at some point before it went vacant — a genuine, evidenced change, not an inference from absence.
named in 2 posts, 22 August 2026 – 23 August 2026 · confirmed gone 21 August 2026 (two independent sightings — see how we confirm a dead handle)evidenced
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 9 September 2026 — this entry's latest reading, not the date you are reading this.
“解忧素材文案馆” (@wenan80), 15,802 subscribers as measured 9 September 2026. Telegram Register, tgregister.com/channel/wenan80.
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.