10月1日-10月7日 国庆节给大家放福利 真支百已降价到8U 无视公网空 不赚钱只为了交朋友 从别的渠道出不来的直接来我这里体验最高的出单率 量大可以拉群出单
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Channel
@zq0182
On this record: Growth · Engagement · Reactions · Stars · Posts · Citations · Cite this entry
90subscribers
+10 since we began measuring on 3 October 2026
Risers and fallers across the register · movement among entries of Under 1,000.
| Telegram ID | -1003823794502 |
|---|---|
| Type | Channel |
| Username | @zq0182 |
| Created | 20 June 2026 — measured — dated from the channel’s first post |
| First recorded | 3 October 2026 |
| Last confirmed live | 7 October 2026 |
| Measurements held | 3 |
| Confirmed unchanged | 1 time, most recently 7 October 2026 |
| On Telegram | t.me/zq0182 |
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 7 Oct 2026, 02:57 | 90 | +10 |
| 3 Oct 2026, 01:22 | 80 | no change |
| 3 Oct 2026, 00:47 | 80 | first reading |
11 posts held, back to 20 June 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 2 October 2026 |
|---|---|
| Posts held | 11 (20 June 2026 – 2 October 2026) |
| Views total | 8,370 |
| Reactions total | 498 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 3 Oct 2026, 01:22 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.
498 reactions across 9 posts, in 12 distinct kinds. The most used accounts for 29.3% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| 🤡 | 146 | 29.3% | |
| 🤣 | 123 | 24.7% | |
| 🔥 | 75 | 15.1% | |
| 🎉 | 53 | 10.6% | |
| 🤩 | 44 | 8.84% | |
| 💯 | 28 | 5.62% | |
| 👍 | 8 | 1.61% | |
| ❤ | 6 | 1.20% | |
| 🤮 | 6 | 1.20% | |
| 💩 | 5 | 1.00% | |
| 👎 | 3 | 0.602% | |
| 🤯 | 1 | 0.201% |
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 9 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 498 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 20 June 2026 to 2 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.
A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @zq0182. Telegram publishes the count on the public post preview alongside ordinary reactions, and this register reads it there. It is the only figure on this site that measures money moving rather than attention.
Stars are not reactions, and the two are never added. They are rendered in the same strip on Telegram and counted in the same shape, but one is a tap and the other is a purchase. The reaction totals and the engagement rate elsewhere on this page exclude every figure in this section, and no rate here is computed against a reaction count.
This is not revenue, and we publish no currency figure. What a Star costs a reader and what it pays a channel are different numbers, Telegram takes a share we cannot observe, and the terms have changed. Converting a Star count into money would be an estimate dressed as a measurement, so the count is where we stop.
Counted over the 11 most recent posts we hold for this entry, published 20 June 2026 to 2 October 2026. Star counts above 1,000 reach us in Telegram’s short form and carry the same three-significant-figure rounding as everything else on this page.
10月1日-10月7日 国庆节给大家放福利 真支百已降价到8U 无视公网空 不赚钱只为了交朋友 从别的渠道出不来的直接来我这里体验最高的出单率 量大可以拉群出单
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新业务出炉!!! 移动机主名字 14u 移动机主前六后四 14u 破解移百 28u脱库也出 空收 移动百分百 30u空不收 @yy0182 当天回 不翻车
🤣6👍1
支机机主大小剩菜 有支无支都一样 30分钟内几乎都可以回 支百几十分钟到几小时不等 加钱=加急 @yy0182
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画 pinned «支机/机主 是新菜就是新菜 剩菜就是剩菜 别混着报来耽误大家时间 新客户不先单 可以预存 出单包过核验 支持任何方式的核验 未认证港澳台支持任何担保拉群核验 百分百过核验»
中秋快乐!
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市面上还有野鸡在拿公网补齐当支百在用 请客户擦干眼睛仔细区别野鸡选手 一单只挣几u的选手做破解支百意义是什么
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公网机主35U 提供性别/最后一个字/年龄 没有就按照手机号出 有概率历史 敏感扣钱不给单 不议价 有量代理/客户给优势
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支机/机主 是新菜就是新菜 剩菜就是剩菜 别混着报来耽误大家时间 新客户不先单 可以预存 出单包过核验 支持任何方式的核验 未认证港澳台支持任何担保拉群核验 百分百过核验
🤣16👎3❤1🤩1🤯1
支机/机主 剩菜机主 破解支百 无视各种疑难杂症 什么不一致 脱库 大众名通通无视 区别所有野鸡专业户 长期合作量大给优势 新菜2U 剩菜10U 破解卡反一样能吃一部分 3U 市面上大银行和部分地区银行皆可通杀无压力 法人股东监事 破解/工商给你最高的出单率 最高的效率 我人在就秒 报单联系 @yy0182
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想业余拓展业务、增加稳定订单的律所、法务公司、合规企业负责人,都可以来聊一下。无论是刚起步的小团队,还是已经有成熟业务渠道的团队,只要有真实业务需求,都可以建立长期合作。 长期寻找全国范围内有稳定单量的律所、法务公司、企业服务机构及相关行业团队合作。包括但不限于法律咨询、合同审查、债务纠纷、企业合规、知识产权、劳动纠纷、诉讼代理、风险咨询等正规业务。 我这边主要负责稳定出单和业务匹配,有持续的客户需求和较强的订单承接能力。根据不同业务类型进行精准匹配,减少无效沟通,提高整体成交和交付效率。 合作模式灵活,可以按照单量、业务类型和实际成交情况进行长期合作。对于有稳定承接能力的团队,可以优先安排订单;团队规模越大、服务能力越强,可以承接的业务范围也越广。 📌核心优势: 稳定业务来源,持续匹配真实需求; 订单分类清晰,减少无效沟通; 专业团队对接,提高出单效率; 合作方式灵活,长期稳定合作; 全过程重视客户隐私和商业信息保护…
🤡146🔥75🎉53🤣53🤩43💯28❤2
Channel created
Showing the 11 most recent of 11 posts we hold for @zq0182. 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.
Stars beside a post are paid reactions — Telegram Stars, bought with money and spent on that post. They are a different unit from reactions and are never added to them, here or anywhere else on this page.
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.
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 7 October 2026 — this entry's latest reading, not the date you are reading this.
“你的遺憾” (@zq0182), 90 subscribers as measured 7 October 2026. Telegram Register, tgregister.com/channel/zq0182.
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.