Channel
@ncqxpcsqgs
On this record: Growth · Engagement · What this channel posts · Posts · Citations · Cite this entry
249subscribers
+155 since we began measuring on 3 November 2026
Risers and fallers across the register · movement among entries of Under 1,000.
| Telegram ID | -1004377724417 |
|---|---|
| Type | Channel |
| Username | @ncqxpcsqgs |
| Created | Between 1 June 2026 and 30 September 2026 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 3 November 2026 |
| Last confirmed live | 11 November 2026 |
| Measurements held | 4 |
| Confirmed unchanged | 1 time, most recently 11 November 2026 |
| On Telegram | t.me/ncqxpcsqgs |
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 11 Nov 2026, 02:20 | 249 | +142 |
| 3 Nov 2026, 12:10 | 107 | +13 |
| 3 Nov 2026, 07:22 | 94 | no change |
| 3 Nov 2026, 06:47 | 94 | first reading |
17 posts held, back to 20 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 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 3 November 2026 |
|---|---|
| Posts held | 17 (20 October 2026 – 3 November 2026) |
| Views total | 4,240 |
| Reactions total | — |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 3 Nov 2026, 07:22 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.
Measured directly from 1 video 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.
Telegram’s own ‘edited’ marker: 6 of 17 posts held from the last 30 days (35.3%) 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).
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🐞 七星瓢虫｜工兵参与规则 ❗️ 参与前请仔细阅读以下规则： 1️⃣ 理性参与，确认时间 参与工兵抽奖或拍卖前，请确认自己有时间、有意愿参与相关安排，切勿盲目抽取或竞拍。 2️⃣ 新上榜老师工兵规则 新老师上榜后的首个工兵，须于当天完成出击，并按要求提交对应的工兵报告。未按时出击或未提交报告的，均视为作废。 3️⃣ 后续工兵规则 后续工兵须在获得后的 2 天内完成出击，并按要求提交对应的工兵报告。逾期未出击或未提交报告的，均视为作废。 4️⃣ 优惠券使用规则 优惠券须在获得后的 5 天内完成使用，并按要求提交对应报告。逾期未使用或未提交报告的，均视为作废。 5️⃣ 履约与违规处理 抽中工兵后，须按照规定时间履约。若无故逾期、未按要求出击或未提交报告，将按规则作废；情节涉及违规的，将列入抽奖黑名单，后续不得参与相关抽奖活动。 6️⃣ 报告提交要求 所有工兵及优惠券均须按要求提交对应报告。具体报告内容、提交…
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🎟 抽奖标题: 小小琪老师工兵券 小小琪老师工兵优惠券，此优惠不得与其他任何优惠同时使用。开奖后三天内有效，本群内不得转让。抽中后必须出击，否则管理有权踢出本群，请慎重参与。 注意：抽奖前请联系本群管理进行出击记录验证，成功后会有标签。否则中奖亦无效。 本券使用解释权归小小琪老师所有。 本券使用必须反馈出击报告。 小小琪： @xiaoxiaoqiqi12 频道： https://t.me/xiaoxiaoqipyq2 消耗积分: 500 积分 定时开奖 2026-10-30 13:00:00 参与关键词: 小小琪大大大 已参与: 15人 🎁 奖品列表： 小小琪老师半价工兵券 X 1 「乐透抽奖」 每消耗 500 积分 兑换一张乐透券 🎟 可多次参与抽奖提高中奖率 🎉 参与要求: ➕加入 - 南昌｜七星瓢虫🐞 └ 💬 发言数大于 8 条 ➕加入 - 南昌七星瓢虫｜老师报告榜 ➕加入 - 南昌七星瓢虫｜社群公…
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🐞 七星瓢虫群｜积分规则公告 📌 一、积分查询 输入「我的积分」，即可查询个人当前积分余额。 🎯 二、日常积分获取 ▫️ 每日签到：+10 积分 ▫️ 群内聊天：每满 5 个字计 1 积分 ▫️ 随机掉落：聊天过程中随机掉落 1～5 积分 ▫️ 每日发言满 100 条：额外奖励 +20 积分 ▫️ 每日发言满 200 条：额外奖励 +50 积分 📝 三、报告积分奖励 ▫️ 上榜老师普通报告：+200 积分 ▫️ 上榜老师优质报告：+300 积分 ▫️ 上榜老师工兵报告：+100 积分 ▫️ 匿名报告：不计入积分奖励 🤝 四、合作商家积分 合作商家同样可以通过撰写报告获取积分，每篇报告奖励 +200 积分。 🎁 五、邀请奖励 成功邀请一位新成员入群，即可获得 +50 积分。 ⚠️ 六、群内行为规范 禁止恶意刷屏、无意义重复发言及其他乱水群行为。一经管理核实，将扣除当日所获积分。 📅 七、积分清算制度 本…
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南昌七星瓢虫｜社群公示 pinned «🐞 南昌七星瓢虫｜社群公示 📢 本频道为南昌七星瓢虫群官方公示频道。 📌 公示内容 ▫️ 群组公告及重要通知 ▫️ 群规调整与管理事项 ▫️ 群内活动及积分玩法 ▫️ 活动规则、奖励名单及结果公示 ▫️ 其他重要事项与临时通知 📣 请各位成员及时关注频道动态，以免错过重要信息。 📋 所有公告及活动安排以本频道正式发布的内容为准。如有疑问，请联系群内管理核实。 🐞 统一发布 · 及时公示 · 公开透明»
Showing the 12 most recent of 17 posts we hold for @ncqxpcsqgs. 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.
Republished by
Channels on the register that have forwarded this channel's posts into their own feed.
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 11 November 2026 — this entry's latest reading, not the date you are reading this.
“南昌七星瓢虫｜社群公示” (@ncqxpcsqgs), 249 subscribers as measured 11 November 2026. Telegram Register, tgregister.com/channel/ncqxpcsqgs.
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.