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Channel

Telegram业务

@Evilqwq

On this record: Growth · Engagement · Reactions · Posts · Citations · Cite this entry

6,031subscribers

+3 since we began measuring on 3 November 2026

Risers and fallers across the register · movement among entries of 3,162–10,000.

Register entry

Telegram ID-1004359336481
TypeChannel
Username@Evilqwq
Created4 September 2026 — measured — dated from the channel’s first post
First recorded3 November 2026
Last confirmed live10 November 2026
Measurements held4
Confirmed unchanged1 time, most recently 10 November 2026
On Telegramt.me/Evilqwq

Growth

6,0286,0316,029.53 November 2026 — 6,028 subscribers3 November 2026 — 6,029 subscribers6 November 2026 — 6,030 subscribers10 November 2026 — 6,031 subscribers3 November 202610 November 2026
4 measurements spanning 7 days, net +3. Dots are measurements; the straight line between them is drawn to join them, not to claim we know the path taken in between — snapshots are recorded only when a count changes, so gaps mean “no change observed”, never “interpolated”. The vertical axis spans 6,028–6,031 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
10 Nov 2026, 03:176,031+1
6 Nov 2026, 16:466,030+1
3 Nov 2026, 17:176,029+1
3 Nov 2026, 10:226,028first reading

Engagement

11 posts held, back to 4 September 2026 — the reader has reached the start of this channel’s public history, so this is the full archive Telegram still exposes. Read across 5 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
18.2%
avg views ÷ 6,031 subscribers
Avg views / post
1,100
1 post measured
Reaction rate
0.364%
reactions ÷ views · ER floor
Posts in window
1
of 11 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.

What these figures were computed from
WindowRolling 30 days · latest post in window 16 October 2026
Posts held11 (4 September 2026 – 16 October 2026)
Views total1,100
Reactions total4
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken5 Nov 2026, 17:24 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.

Reaction mix

5,377 reactions across 10 posts, in 6 distinct kinds. The most used accounts for 17.5% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
🎉94017.5%
❤90816.9%
🔥89916.7%
👍88316.4%
💯88016.4%
👏86716.1%

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 10 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 5,377 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 4 September 2026 to 16 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.

Recent posts

Telegram’s own ‘edited’ marker: 0 of 1 post 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).

16 Oct 2026, 15:23 UTC≈1,100 views4 reactionsread 5 November 2026

🚀小火箭节点🚀 😀😃😃😃🔤月 😀😀 😀😃😃😃🔤月😀😀 😀🔤年😀😃😀 😀😃😃😃🔤年😀😀😀 😀😃😃😃🔤年😃😃😀 • 🚀 质量卓越的高速网络 • 🔒 专业解锁ChatGPT • 🎥 充分享受各类流媒体 • 📱 设备无限制,尽享便利 • ⚡️ 高速体验,畅快无比 • 💻 平台无界限,满足需求

❤4

11 Oct 2026, 15:41 UTC≈1,890 views579 reactionsread 5 November 2026

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🎉108👍106💯99❤96👏95🔥75

11 Oct 2026, 15:18 UTC≈1,740 views603 reactionsread 5 November 2026

秒开飞机会员(Telegram Premium),可以防封号,防双向,增加账号权重,大大降低被封号的几率! 开通会员八大好处 高级会员专属动态头像 有效防止双向,注销风险 手机可4开,电脑可6开账号 会员专属贴纸,表情包随便用 列表/群组/频道等多项功能翻倍 会员看片不卡秒开,包教看片 语音转文字,即时翻译 为双方设置壁纸 TG上做业务,没有会员号,导致动不动【已销号】,非常尴尬。开会员能有效降低封号风险,避免流失顾客。 开通高级会员,尊贵会员图标,让您的账号更加显眼,增加辨识度,可信度! 【3个月会员】 13.5 USDT 秒开 【6个月会员】 17.5 USDT 秒开 【 1 年 会 员 】31.5 USDT 秒开 开通会员联系客服:@bengzhu 双向联系:@fdhysxbot

❤111🎉107👍101👏96💯94🔥94

11 Oct 2026, 15:04 UTC≈1,500 views551 reactionsread 5 November 2026

群在线 月价格表 在线确保人数:200人 【30U】 在线确保人数:400人 【48U】 在线确保人数:1000人 【88U】 在线确保人数: 2000人 【158U】 以上是群在线人数粉 保持稳定的在线人数💬 客服联系:@bengzhu 双向联系:@fdhysxbot

🔥98💯97👏96🎉90❤85👍85

11 Oct 2026, 14:58 UTC≈1,390 views539 reactionsread 5 November 2026

电报 Telegram 群组/频道僵尸粉 【可用于提高索引排名-可增加客户信任感-可提高全局排名】 10000僵尸粉-28U 质量僵尸粉1000-4U 可指定国家成员详细报价 :加急订单请➕1U 《订单完成时间24H内 加急请加1u单价 不扯皮 》 客服联系: @bengzhu 双向联系:@fdhysxbot

🔥102🎉95💯91❤88👍83👏80

11 Oct 2026, 14:56 UTC≈1,270 views524 reactionsread 5 November 2026

😛TG收藏业务 T G靓号/出售 NFT出租/出售 礼物出租/出售 代拍😎NFT 代拍😎礼物 代拍😎匿名号 需要联系:@bengzhu @bengzhu 双向联系:@fdhysxbot

👍94👏94🔥91🎉90💯81❤74

11 Oct 2026, 14:55 UTC≈1,330 views487 reactionsread 5 November 2026

🗓️自动浏览频道已发布和自动浏览未来的帖子🗓️ 已发布 10条帖子1000浏览-10 100条帖子1000浏览-88 可包月不限量(可定制) 未发布 发了自动会秒上 未来50条1000浏览-50 未来100条1000浏览-88 未来500条1000浏览-488 包月份 2000-3000浏览量 月/88 2500-3500浏览量 月/98 5000-9999浏览➕反馈 年/138 以此类推📏浏览(50-1000000浏览)都可下单 客服联系:@bengzhu 双向联系:@fdhysxbot

🔥87🎉85💯84❤83👏78👍70

11 Oct 2026, 14:53 UTC≈1,150 views586 reactionsread 5 November 2026

查档

💯114👍108🔥97❤94👏93🎉80

11 Oct 2026, 14:52 UTC≈1,070 views501 reactionsread 5 November 2026

布布的封禁业务 封禁TG群组/频道 解封TG群组/频道 保护TG群组/频道 😀😃😀/月 封禁TG账号/动态 广接抖音 快手 小红书 微信 QQ等应用封禁 以上封禁业务不成功不收费 我的工作展示 客服联系: @bengzhu 双向联系:@fdhysxbot

❤105🎉93🔥86👏76💯75👍66

11 Oct 2026, 14:48 UTC≈19,900 views1,003 reactionsread 5 November 2026
Photo

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🎉192👍170🔥169❤168👏159💯145

Showing the 11 most recent of 11 posts we hold for @Evilqwq. 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

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.

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.

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 10 November 2026 — this entry's latest reading, not the date you are reading this.

“Telegram业务” (@Evilqwq), 6,031 subscribers as measured 10 November 2026. Telegram Register, tgregister.com/channel/Evilqwq.

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.