Channel
@wuhan_cs
On this record: Growth · Engagement · Reactions · Posts · Citations · Cite this entry
16subscribers
+3 since we began measuring on 14 October 2026
Risers and fallers across the register · movement among entries of Under 1,000.
| Telegram ID | -1003673416484 |
|---|---|
| Type | Channel |
| Username | @wuhan_cs |
| Created | Between 1 December 2025 and 1 January 2026 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 14 October 2026 |
| Last confirmed live | 14 October 2026 |
| Measurements held | 2 |
| Confirmed unchanged | 1 time, most recently 14 October 2026 |
| On Telegram | t.me/wuhan_cs |
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 14 Oct 2026, 20:01 | 16 | +3 |
| 14 Oct 2026, 02:22 | 13 | first reading |
11 posts held, back to 1 January 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 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.
| Window | Rolling 30 days · latest post in window 13 October 2026 |
|---|---|
| Posts held | 11 (1 January 2026 – 13 October 2026) |
| Views total | 83 |
| Reactions total | — |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 14 Oct 2026, 02:22 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.
1 reaction across 1 post, in 1 kind.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 1 | 100.0% |
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 1 of the 11 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 1 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 11 most recent posts we hold, published 1 January 2026 to 13 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.
🎉🎉🎉 开奖通知 🎉🎉🎉 🔖 防伪编号：H179137488414 🎰 档案馆白嫖系列二十一期，达达(1000元)，大只马颜值嫩妹 t.me/wuhan_dangan/722 ⚠️ 抽奖说明： 请仔细阅读说明，避免奖品掉落浪费好运。 浮动优惠券规则： 按参与人数，仅两档！ 499人及以下，奖品半价券 500人及以上，奖品白嫖券 通用报销券中奖后使用，出击记录+提交报告后联系 @dag9527_bot 兑奖 竹简无需联系，中奖竹简会自动发放。 ⚠️⚠️⚠️抽奖期间去过的狼友如果中奖可选择兑换现金，不影响现在约。 ✍🏻️提示: 在群内发送“邀请”拉人可获积分。 榜单 t.me/wuhan_dangan/374 群聊 t.me/wuhan_qun 群积分玩法说明 | 拿竹简 可兑换通用券|现金等多种福利 👉🏻 t.me/wuhan_dangan/10 ⚠️中奖后使用或者兑换，需提交出击报告，报告机器人…
🎊 白嫖券掉落，24小时快抽，枣枣 t.me/wuhan_dangan/737 开奖啦！ ⏰ 开奖时间：2026/10/12 22:08:00 🎁 本轮奖品 1️⃣ 枣枣p白嫖券×1 🏆 中奖名单 枣枣p白嫖券： - 十七 没上榜也别急，下一轮好运可能已经在赶来的路上了～ 活动：白嫖券掉落，24小时快抽，枣枣 t.me/wuhan_dangan/737 成功参与：73 人 中奖人数：1 人 枣枣p白嫖券： - 十七｜用户名：@shiqiyi｜奖品：枣枣p白嫖券｜状态：待管理员发放 开奖时间：2026/10/12 22:08:00
枣枣白嫖券中奖人退群，作废 掉落奖品调剂程序启动 奖品: p白嫖券 准备好，群内发言快抽，参与门槛66条，发言统计周期24小时，欢迎大家在抽奖发布后来玩。 抽奖链接 https://t.me/wuhan_qun/104326 已开奖
🎉🎉🎉 开奖通知 🎉🎉🎉 🔖 防伪编号：H179120546291 🎰 档案馆白嫖系列，枣枣(600元) t.me/wuhan_dangan/737 ⚠️ 抽奖说明： 请仔细阅读说明，避免奖品掉落浪费好运。 浮动优惠券规则： 按参与人数，仅两档！ 299人及以下，奖品半价券 300人及以上，奖品白嫖券 通用报销券中奖后出击，提交报告后联系 @dag9527_bot 兑奖 ⚠️⚠️⚠️抽奖期间去过的狼友如果中奖可选择兑换现金，不影响现在约。 ✍🏻️提示: 在群内发送“邀请”拉人可获积分。 榜单 t.me/wuhan_dangan/374 群聊 t.me/wuhan_qun 群积分玩法说明 | 拿竹简 可兑换通用券|现金等多种福利 👉🏻 t.me/wuhan_dangan/10 ⚠️中奖后使用或者兑换，需提交出击报告，报告机器人: @whdagbot ⚠️中奖48小时内联系兑奖人确认，未确认作废！ …
Channel name was changed to «档案馆·抽奖档案记录»
Channel name was changed to «武汉档案馆(测试|榜单)»
问 我有个想法，你把这里面的普通女性角色替换成足疗消费者，男性替换成在线接单的足疗技师，对立流量博主替换成在圈内生态内的以花边新闻搞对立为主的博主。是否可以替换？然后按照核心提炼。重新编文。 ——————答 改编版（圈层适配替换：足疗消费圈层视角） 无数到店消费的客人在评论区愤怒冲锋、互相共鸣，免费靠情绪给圈内花边博主贡献流量、热度、数据。 最后，靠制造男女对立、散播圈内花边的博主赚得盆满钵满、潇洒离场，跳出底层服务圈层实现阶层跃迁。 而被洗脑的普通客人，渐渐扭曲了正常消费的分寸感，错过了温和得体、踏实本分的技师，弄丢了人与人之间简单平和相处的分寸，最终只剩无尽猜忌，往后每次消费都满心提防、满心内耗。 纵观任何线下服务圈层，一旦消费端与服务端信任彻底崩塌、互相对立成为常态，最先遭殃、最无力抵抗的，永远是底层从业者与普通消费者这类弱势群体。 平稳正常的行业环境里，行业规范可以抹平人与人性格、需求、条件的差距，给所有人…
关于差评部分维度解读 消费类型最终定版（完整版） 600-800元冲动型消费服务类产品 条件: 金额高客单、群体消费中客单，具备稳定销量与销售周期，市场接受度成熟 核心特征： 用户冲动下单，对服务预期高，易因性价比感知产生心理落差； 主动评价率高，且差评表达欲强于好评； 沉默用户多为“满意但无表达欲”，但满意比例低于常规高客单决策型产品； 成熟销售阶段下，用户口碑形成稳定惯性，沉默用户满意比例进一步固化，主动评价差评率波动缩小，数据参考性更强。 最终综合核心比例 1个主动差评 ≈ 30个满意用户（含主动好评 + 沉默默认好评） ✅ 此比例为该类型产品在成熟销售阶段的稳定值，上下浮动不超过5，可直接用于口碑数据测算、风险评估等实际场景。 ✅ 结论可直接解读为： 1个主动差评的背后，其实站着约30个满意用户。
备用
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Showing the 11 most recent of 11 posts we hold for @wuhan_cs. 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.
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.
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.
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 14 October 2026 — this entry's latest reading, not the date you are reading this.
“档案馆·抽奖档案记录” (@wuhan_cs), 16 subscribers as measured 14 October 2026. Telegram Register, tgregister.com/channel/wuhan_cs.
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.