Telegram RegisterThe public register of Telegram

Channel

前排 - Telegram 生态测评

@qianpai

On this record: Growth · Engagement · Reactions · Stars · Posts · Citations · Handles named that no longer answer · Cite this entry

692subscribers

+0 since we began measuring on 13 August 2026

Risers and fallers across the register · movement among entries of Under 1,000.

Register entry

Telegram ID-1001057584054
TypeChannel
Username@qianpai
CreatedBetween 1 May 2016 and 31 January 2017— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded13 August 2026
Last confirmed live14 August 2026
Measurements held2
Confirmed unchanged1 time, most recently 14 August 2026
On Telegramt.me/qianpai

Growth

69213 Aug 2026, 18:49 — 692 subscribers14 Aug 2026, 01:14 — 692 subscribers13 Aug 2026, 18:4914 Aug 2026, 01:14
2 measurements taken within a single day. 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 691–693 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
14 Aug 2026, 01:14692no change
13 Aug 2026, 18:49692first reading

Engagement

20 posts held, back to 20 April 2026the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 1 pageof Telegram’s post history, 20 posts per page.

ERR · 30 days
19.1%
avg views ÷ 692 subscribers
Avg views / post
132
1 post measured
Reaction rate
this channel exposes no reaction counts
Posts in window
1
of 20 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 5 August 2026
Posts held20 (20 April 20265 August 2026)
Views total132
Reactions total
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken13 Aug 2026, 18:49 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

95 reactions across 13 posts, in 2 distinct kinds. The most used accounts for 67.4% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
custom 58551323425736036146467.4%
custom 58551749572391166483132.6%

Custom emoji. Every row above is a Telegram custom emoji, which the public preview renders as an element carrying only a numeric id — no character, and no image we can reach. The id is printed as-is rather than substituted with a look-alike glyph, because a stand-in would be our invention showing where a measurement should be. The counts beside them areTelegram’s.

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 13 of the 20 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 95reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 20 most recent posts we hold, published 20 April 2026 to 5 August 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 Stars

Stars received
90
across the posts below
Posts paid on
4
of 20 we hold a reading for · 20%
Most on one post
87
single highest reading

A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @qianpai. 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 20 most recent posts we hold for this entry, published 20 April 2026 to 5 August 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.

Recent posts

21 Jun 2026, 13:00 UTC884 views2 reactionsread 13 August 2026

⬜⬜ 全网骗子查询 🟢 ⬜⬜ @Pianzichaxun88bot ⬜⬜ #机器人 #查询全网骗子 ⬜⬜ 输入用户名,频道链接等,即可查询全网骗子,免费使用 ⬜ 上前排 | ⬜ 举报 | ⬜ 发布人

custom 58551323425736036142

21 Jun 2026, 12:07 UTC836 views3 reactionsread 13 August 2026

⬜⬜ 小哈聊天群 🟤 ⬜⬜ @dlzxhcd ⬜⬜ #群组 #聊天群 #查档开户 ⬜⬜ 群主住营业 查档/网逃/定位/全户籍/婚姻/天眼查/法人身份证/ 银行类型:银行流水/司法冻结/冻结支付/支付宝流水 档案信息:户籍/身份证/社保/学历/医疗/婚姻/护照/车辆/法人/找人/查人/营业执照 反查项目:微信/抖音/支付宝/银行卡/手机号/护照 定位轨迹:开房/外卖/快递/出入境/手机定位/车辆轨迹 案件查询:网逃/案件详情/立案/涉案 ⬜ 上前排 | ⬜ 举报 | ⬜ 发布人

custom 58551323425736036143

11 May 2026, 07:19 UTC≈1,630 views15 reactionsread 13 August 2026

⬜⬜ 聚合社工库 🟤 ⬜⬜ @juhesgk_bot ⬜⬜ #机器人 #社工库 ⬜⬜ 别再当“纯纯大冤种”了! 查个东西,你是不是还在几个机器人之间来回切换? 充了这个,忘了那个;这个余额还剩1,那个又提示欠费…… 钱没少花,事儿没少办,心还挺累。 现在,一个真正懂你的【聚合社工库】来了! 我们整合了市面上最热门的巨人社工库、一诺社工库等N个查询机器人 一次充值,全场通用! 搞定所有查询需求。 价格低到离谱! 我们砍掉了所有中间溢价,让查询回归白菜价。 不用再为每个机器人单独买单了。 聪明人,都选一次充值、多元畅查。 聚合社工库,一个账号,查遍所有。 ⬜ 上前排 | ⬜ 举报 | ⬜ 发布人

custom 585513234257360361413custom 58551749572391166482

10 May 2026, 11:03 UTC≈1,330 views10 reactions1 Starread 13 August 2026

⬜⬜ 周星星查档反诈公益曝光频道 🟤 ⬜⬜ @tyc911 ⬜⬜ #频道 #查档反诈 ⬜⬜ 公益反诈群 ⬜ 上前排 | ⬜ 举报 | ⬜ 发布人

custom 585513234257360361410

3 May 2026, 08:47 UTC≈1,620 views23 reactions87 Starsread 13 August 2026

⬜⬜ 【无界】全网骗子曝光 🟢 ⬜⬜ @wujiefz ⬜⬜ #频道 #公益反诈频道 ⬜⬜ 本频道为纸飞机反诈曝光专区,曝光网络诈骗相关举报。提交合规完整证据后,将按规则审核核验,查实后统一公示曝光,供大家参考甄别,规避网络交易风险。 ⬜ 上前排 | ⬜ 举报 | ⬜ 发布人

custom 585517495723911664812custom 585513234257360361411

30 Apr 2026, 10:58 UTC≈1,480 views10 reactions1 Starread 13 August 2026

⬜⬜ 0.0.4 ➖搜索结果中的频道浏览数改为实体统计数据(订阅数、成员数、月活数)。 ➖频道与搜索结果新增实体评分徽章(1.0–5.0 分),直观展示实体质量。 ➖修复若干已知问题。

custom 58551323425736036147custom 58551749572391166483

29 Apr 2026, 13:30 UTC≈1,320 views2 reactionsread 13 August 2026

⬜⬜ 0.0.3 ➖新增代理折扣设置功能,支持代理让渡部分返佣比例给下级用户,以增强用户粘性与忠诚度。 ➖重构邀请列表模块,由单一的信息展示升级为可配置管理界面,支持针对单个用户进行个性化折扣设置。 ➖优化内联邀请交互体验,提升邀请流程的流畅度与易用性。

custom 58551323425736036141custom 58551749572391166481

28 Apr 2026, 08:58 UTC≈1,290 views11 reactions1 Starread 13 August 2026

⬜⬜ TBaaS-5分钟创建Bot 🟢 ⬜⬜ @TBaaS_cc ⬜⬜ #频道 #机器人 #定制 #免费 #开发 #机器人平台 ⬜⬜ TBaaS - Telegram Bot 一体化平台 把“做机器人”变成一件简单的事 — 你现在可以直接做到: • 一键创建 Telegram 机器人 • 支持人民币 / okpay / TRC20-USDT 收款 • 自动运行,无需其他复杂操作 • 在平台内统一管理所有 Bot — 适合这些人: • 不会开发,但要属于自己的机器人 • 群主 / 频道主需要自动化工具 • 不想再找人定制、维护机器人 — 免费与付费体验 • 提供免费模板,可直接创建使用 • 付费模板支持「7天免费体验期」 • 满意后再付费,降低试错成本 — TBaaS整合了一整套能力 创建 + 运行 + 收款 + 管理 全流程平台内完成 TBaaS,让机器人变得更简单 平台持续更新功能 目标覆盖全用户需求 ⬜ 上前排 | ⬜ 举

custom 58551323425736036146custom 58551749572391166485

27 Apr 2026, 09:50 UTC≈1,050 views9 reactionsread 13 August 2026

⬜⬜ 灰太狼购物网 🟤 ⬜⬜ @hui8848bot ⬜⬜ #机器人 #卡网机器人 ⬜⬜ 单月会员5u 3个月13.5u 6个月17.5u 12个月30.5u 50⭐0.9u ⬜ 上前排 | ⬜ 举报 | ⬜ 发布人

custom 58551323425736036147custom 58551749572391166482

27 Apr 2026, 07:35 UTC950 views5 reactionsread 13 August 2026

⬜⬜ 0.0.2 ➖新增“拉粉丝来测评免费发”功能,频道与前排达成互推合作后即可免费发布。

custom 58551749572391166484custom 58551323425736036141

25 Apr 2026, 10:26 UTC975 viewsread 13 August 2026

该余额是可提现的,能提现的来测试下提现功能

Showing the 12 most recent of 20 posts we hold for @qianpai. 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.

Citation-graph rank

Citation-graph rank — 946,001 of 1,350,102entries in the measured graph. A weighted position computed from the forward and mention edges below — republished posts weigh more than named mentions — and recomputed periodically, over the whole graph. Published only as this ordinal position, never as a score: a position is a fact, and a score printed beside one channel’s name would read as a verdict this register does not make. The two counts beneath stay separate for the same reason mentions are never summed with forwards anywhere else on this page — a named-by count costs nothing to manufacture. The top 100 by this measure, or how it is computed.

Mentions

Named by 17 registered channels — 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.

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 14 August 2026 — this entry's latest reading, not the date you are reading this.

“前排 - Telegram 生态测评” (@qianpai), 692 subscribers as measured 14 August 2026. Telegram Register, tgregister.com/channel/qianpai.

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.