Telegram RegisterThe public register of Telegram

Channel

𝑇𝑒𝑙𝑒𝑔𝑟𝑎𝑚&𝐶ℎ𝑖𝑛𝑎 𝑆𝑉𝐼𝑃 TCS

@TCSiXc

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

1,754subscribers

-4 since we began measuring on 7 August 2026

Risers and fallers across the register · movement among entries of 1,000–3,162.

Register entry

Telegram ID-1001805304293
TypeChannel
Username@TCSiXc
CreatedBetween 1 October 2022 and 30 September 2023— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded7 August 2026
Last confirmed live13 August 2026
Measurements held5
Confirmed unchanged1 time, most recently 13 August 2026
On Telegramt.me/TCSiXc

Growth

1,7541,7581,7567 August 2026 — 1,758 subscribers7 August 2026 — 1,758 subscribers7 August 2026 — 1,757 subscribers10 August 2026 — 1,755 subscribers13 August 2026 — 1,754 subscribers7 August 202613 August 2026
5 measurements spanning 6 days, net -4. 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 1,753–1,759 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
13 Aug 2026, 06:261,754-1
10 Aug 2026, 13:061,755-2
7 Aug 2026, 16:511,757-1
7 Aug 2026, 09:161,758no change
7 Aug 2026, 09:041,758first reading

Engagement

11 posts held, back to 3 March 2025the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 2 pagesof Telegram’s post history, 20 posts per page.

ERR · 30 days
21.7%
avg views ÷ 1,754 subscribers
Avg views / post
380
1 post measured
Reaction rate
0.789%
reactions ÷ views · ER floor
Posts in window
2
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 20 July 2026
Posts held11 (3 March 202520 July 2026)
Views total380
Reactions total3
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken7 Aug 2026, 17:37 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

16 reactions across 7 posts, in 3 distinct kinds. The most used accounts for 50.0% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
850.0%
👍425.0%
🤔425.0%

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 7 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 16reactions 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 3 March 2025 to 20 July 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

20 Jul 2026, 10:13 UTCviews —

𝑇𝑒𝑙𝑒𝑔𝑟𝑎𝑚&𝐶ℎ𝑖𝑛𝑎 𝑆𝑉𝐼𝑃 TCS pinned «来看看 👉HTTPS://TCSiX.EU.ORG/ 可左右滑动或点击上方MENU切换»

20 Jul 2026, 10:12 UTC380 views3 reactionsread 7 August 2026

来看看 👉HTTPS://TCSiX.EU.ORG/ 可左右滑动或点击上方MENU切换

3

2 May 2026, 05:57 UTC≈3,720 views1 reactionsread 7 August 2026
Photo

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1

18 Feb 2026, 15:47 UTC≈1,510 viewsread 7 August 2026
Forwarded from @tossichannelPhoto

#AppleMusic #羊毛 #美区 #音乐 🎵 Apple Music 美区新用户免费试用 6 个月 ㅤ 🍎 活动内容:Apple Music 美区推出限时福利,新订阅用户可领取 6 个月免费试用。 ㅤ 📅 截止日期:2026 年 2 月 4 日 —— 2026 年 3 月 5 日。 ㅤ 📱 参与方式: 1. 确保 iPhone、iPad 或 Mac 已更新至最新系统。 2. 使用美区 Apple ID 登录 Apple Music 应用。 3. 如果未自动弹出,请在“首页 (Home)”查看活动横幅,点击“Accept Free Trial”兑换。 ㅤ ⚠️ 注意事项: • 仅限 Apple Music 新用户。 • 需在 Apple 设备上激活。 • 试用结束后自动续费 $10.99/月,建议设置提醒提前取消。 🔘@TossIPhone 🔘@TossIChannel

6 Jan 2026, 12:43 UTC≈9,040 views1 reactionsread 7 August 2026
File

⬆️ iWatch版本  Apple 苹果 2026 马年壁纸发布! 据悉,Apple苹果(中国)于最近公布了其一年一度的新年壁纸。今天2026年属马年,图片以“马🐎到成功”为设计元素,巧妙在图片中融入Apple苹果标识,整体视觉效果良好。 该壁纸原图下载于Apple官网,最高清版本为Macbook版本(81MP)。

1

7 Apr 2025, 12:19 UTC≈3,580 views4 reactionsread 7 August 2026
Photo

还认为tg安全么?只是你不值得被查🤣

🤔4

7 Mar 2025, 13:15 UTC≈2,750 views2 reactionsread 7 August 2026
Forwarded from @ShareCentrePhoto

QwQ-32B 震撼发布:强化学习助力模型性能超越极限 2025年3月6日,Qwen 团队正式发布 QwQ-32B,一款基于强化学习(RL)的 320 亿参数语言模型,在多个关键评测中展现出卓越表现。QwQ-32B 在数学推理、代码生成及通用推理能力上,成功挑战了 DeepSeek-R1(6710 亿参数)等业界顶尖模型,充分验证了强化学习在大模型推理能力提升中的巨大潜力。 强化学习加持,推理能力跃升 QwQ-32B 采用多阶段强化学习策略,从冷启动训练开始,首先针对数学和编程任务优化,通过准确性验证器和代码执行服务器,确保生成结果的正确性。在此基础上,进一步扩展至通用推理任务,提高了指令遵循能力、人类偏好对齐度及智能体推理能力,而不损失数学与编程任务的表现。 强势对比:挑战 DeepSeek-R1 及多款竞品 在 AIME24、LiveCodeBench、LiveBench、IFEval、BFCL 等主流基准测试中,

2

3 Mar 2025, 12:09 UTC≈3,340 views1 reactionsread 7 August 2026
Photo

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1

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

Citation-graph rank

Citation-graph rank — 682,216 of 1,160,990entries 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.

Forward network

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.

Mentions

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.

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

“𝑇𝑒𝑙𝑒𝑔𝑟𝑎𝑚&𝐶ℎ𝑖𝑛𝑎 𝑆𝑉𝐼𝑃 TCS” (@TCSiXc), 1,754 subscribers as measured 13 August 2026. Telegram Register, tgregister.com/channel/TCSiXc.

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.