飞机双向怎么解除😂
Signed 橘子

Channel
@wenan1122
On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Posts · Posts recorded as deleted · Citations · Telegram's recommendations · Cite this entry
6,002subscribers
-6,536 since we began measuring on 7 August 2026
Risers and fallers across the register · movement among entries of 3,162–10,000.
| Telegram ID | -1001790825009 |
|---|---|
| Type | Channel |
| Username | @wenan1122 |
| Description | “其实你明白你要的不是文案 而是故事“🧸 “好的文案能让人 只看一眼就看到自己的故事” 好的文案能治愈好多好多情绪,成年人的世界本就不简单,看看文案放松一下,在现实中不想说出来的 都可以分享一下的” .. 期待你的分享和加入哦 ☁️🍀🌱 群负责人 投稿人 @xxxff555 投稿人 @xia098765 投稿人 @xiaoqipfpf 投稿人 @suao11 投稿人 @xiaoliang998 |
| Created | Between 1 December 2021 and 30 April 2023 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 20 August 2026 |
| Last confirmed live | 5 November 2026 |
| Measurements held | 41 |
| Confirmed unchanged | 1 time, most recently 5 November 2026 |
| On Telegram | t.me/wenan1122 |
Memes & entertainment — 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 11 September 2026 and assigned it the closest of 31 fixed categories, at 48% 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.
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 5 Nov 2026, 01:01 | 6,002 | +8 |
| 1 Nov 2026, 14:46 | 5,994 | -106 |
| 29 Oct 2026, 15:56 | 6,100 | -57 |
| 26 Oct 2026, 16:51 | 6,157 | -104 |
| 23 Oct 2026, 08:26 | 6,261 | -44 |
| 20 Oct 2026, 05:47 | 6,305 | -87 |
| 16 Oct 2026, 22:17 | 6,392 | -222 |
| 13 Oct 2026, 13:14 | 6,614 | -272 |
| 7 Oct 2026, 03:55 | 6,886 | -467 |
| 30 Sept 2026, 09:15 | 7,353 | -1,071 |
| 19 Sept 2026, 14:40 | 8,424 | -750 |
| 15 Sept 2026, 08:58 | 9,174 | -560 |
| 11 Sept 2026, 21:00 | 9,734 | -489 |
| 9 Sept 2026, 07:00 | 10,223 | -734 |
| 6 Sept 2026, 00:21 | 10,957 | -403 |
| 3 Sept 2026, 18:20 | 11,360 | -116 |
| 2 Sept 2026, 09:57 | 11,476 | -33 |
| 1 Sept 2026, 12:28 | 11,509 | -198 |
| 31 Aug 2026, 13:14 | 11,707 | -58 |
| 30 Aug 2026, 12:55 | 11,765 | first reading |
129 posts held, back to 19 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 28 pages of Telegram’s post history, 20 posts per page.
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 20 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 4 November 2026 |
|---|---|
| Posts held | 129 (19 August 2026 – 4 November 2026) |
| Views total | 5,273 |
| Reactions total | 35 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 5 Nov 2026, 02:11 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.
Lifetime counters from Telegram’s own channel header, read 5 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.
Measured directly from 74 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.
47 reactions across 24 posts, in 5 distinct kinds. The most used accounts for 53.2% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 25 | 53.2% | |
| 💩 | 15 | 31.9% | |
| 👍 | 5 | 10.6% | |
| 🎉 | 1 | 2.13% | |
| 🐳 | 1 | 2.13% |
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 25 of the 129 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 47 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 129 most recent posts we hold, published 19 August 2026 to 4 November 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.
Telegram’s own ‘edited’ marker: 0 of 20 posts held from the last 30 days (0%) 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).
飞机双向怎么解除😂
Signed 橘子
分手最后唱一首歌
Signed ^呆呆💤
Voice message, posted without a caption
Signed ^呆呆💤
我从来不怕失去任何人 我打小就知道属于自己的从来不会失去
❤1💩1
Signed 小财米🍑
📢 招募帮忙转发的小伙伴 要求:发到150人及以上的群 ✅ 规则: 发到符合人数的群之后,把完整截图发给我核对 ✅ 报酬:一个群 1000 缅币(合格截图结算) ❗注意: 1. 先看截图里群成员数量,确认≥150人再给钱; 2. 同一个群只结算一次,重复发同一个群不算 发两个图片到微信群然后截图给我就可以领取了喔! @CFxijiu
💩2❤1
Signed 李太皇
连天气都是瞬息万变的 谁又能保证身边的一切不会变
❤2💩1
Signed ¥
积德的干 不过缺德的 会说的干不过胡说的。
❤2👍1💩1
Signed 星星之火🔥
Voice message, posted without a caption
💩2
Signed ^呆呆💤
好事 坏事 终究会成为往事.
❤1💩1
Signed ¥
缘分在相遇的那一刻就 划下了起点 剩下的全靠珍惜.
❤2💩2
Signed 🍑
幸运金币爆了12000000万 现在大放水 老板们搞起来 一起爆 游戏链接 https://izo6x.89mmk.vip/register.html
Signed Channel Help
没有爱可以做夫妻 但是没有爱一定做不了情人
❤1💩1
Signed 星星之火🔥
Showing the 12 most recent of 129 posts we hold for @wenan1122. 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.
We recorded 4 posts on @wenan1122 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.
Republished by
Channels on the register that have forwarded this channel's posts into their own feed.
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.
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.
The reverse of the list above, and a different kind of signal. This does not require this channel to have ever been asked about directly — each row below is a channel we DID ask Telegram about, whose Telegram-generated list happened to include this one. A channel can appear here with an empty list above it, because being named by someone else’s query is independent of having been queried itself.
This channel appears in 4 seed channels' Telegram-generated recommendation lists in total. Each is Telegram’s list for THAT channel, not this one — see how this is measured.
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 5 November 2026 — this entry's latest reading, not the date you are reading this.
“情感文案馆🌙 交友| 表白” (@wenan1122), 6,002 subscribers as measured 5 November 2026. Telegram Register, tgregister.com/channel/wenan1122.
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.