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Channel

🔍此岸情报局🔎

@JustReformation

On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Posts · Posts recorded as deleted · Citations · Cite this entry

7,599subscribers

+187 since we began measuring on 6 August 2026

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

Register entry

Telegram ID-1001252495474
TypeChannel
Username@JustReformation
Description资源情报资讯更新板! 羊毛、好物、聊天、VIP、软件、Apple、淘宝、京东、福利、App、iOS、老司机、破解、小说、搞笑、资源、视频、中文、Google!源于网络,分享世界! 合作频道:https://t.me/BaccanoSoul
CreatedBetween 1 March 2018 and 31 August 2021 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded6 August 2026
Last confirmed live11 November 2026
Measurements held26
Confirmed unchanged1 time, most recently 11 November 2026
On Telegramt.me/JustReformation

Topic

Technology — a classification, not a measurement. An on-box language model (Qwen3.6-35B-A3B-FP8, prompt version 1) read this channel’s own recent posts on 12 September 2026 and assigned it the closest of 31 fixed categories, at 98% confidence. This is a model’s judgement about what the channel is likely to be about, not a fact this register measured the way a subscriber count or a view count is measured — it can be revised on a later pass, and it carries no weight anywhere else on this page. How this classification works, and the other topics.

Growth

7,4057,6047,504.56 August 2026 — 7,412 subscribers6 August 2026 — 7,405 subscribers9 August 2026 — 7,410 subscribers12 August 2026 — 7,411 subscribers16 August 2026 — 7,418 subscribers19 August 2026 — 7,452 subscribers23 August 2026 — 7,462 subscribers26 August 2026 — 7,465 subscribers29 August 2026 — 7,466 subscribers31 August 2026 — 7,474 subscribers3 September 2026 — 7,476 subscribers8 September 2026 — 7,482 subscribers12 September 2026 — 7,471 subscribers16 September 2026 — 7,484 subscribers2 October 2026 — 7,559 subscribers8 October 2026 — 7,583 subscribers13 October 2026 — 7,604 subscribers17 October 2026 — 7,600 subscribers20 October 2026 — 7,580 subscribers23 October 2026 — 7,576 subscribers27 October 2026 — 7,568 subscribers30 October 2026 — 7,581 subscribers2 November 2026 — 7,590 subscribers5 November 2026 — 7,594 subscribers8 November 2026 — 7,603 subscribers11 November 2026 — 7,599 subscribers7,5996 August 202611 November 2026
26 measurements spanning 98 days, net +187. 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 7,375–7,634 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 26
Measured (UTC)SubscribersChange
11 Nov 2026, 21:567,599-4
8 Nov 2026, 09:067,603+9
5 Nov 2026, 06:307,594+4
2 Nov 2026, 16:297,590+9
30 Oct 2026, 09:017,581+13
27 Oct 2026, 01:377,568-8
23 Oct 2026, 18:317,576-4
20 Oct 2026, 20:067,580-20
17 Oct 2026, 08:147,600-4
13 Oct 2026, 23:207,604+21
8 Oct 2026, 15:597,583+24
2 Oct 2026, 10:357,559+75
16 Sept 2026, 20:597,484+13
12 Sept 2026, 19:397,471-11
8 Sept 2026, 17:007,482+6
3 Sept 2026, 14:007,476+2
31 Aug 2026, 16:257,474+8
29 Aug 2026, 01:427,466+1
26 Aug 2026, 11:537,465+3
23 Aug 2026, 17:557,462first reading

Engagement

48 posts held, back to 15 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 41 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
6.47%
avg views ÷ 7,599 subscribers
Avg views / post
492
29 posts measured
Reaction rate
0.241%
reactions ÷ views · ER floor
Posts in window
29
of 48 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. It is computed over the 15 of 29 measured posts that carry a reaction reading, and over those same posts' views.

What these figures were computed from
WindowRolling 30 days · latest post in window 11 November 2026
Posts held48 (15 June 2026 – 11 November 2026)
Views total14,254
Reactions total19
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken14 Nov 2026, 17:49 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.

What this channel posts

Photos
≈907
Videos
≈1
Links
≈2,790

Lifetime counters from Telegram’s own channel header, read 14 November 2026 — not the date at the top of this page, which is when the subscriber count was last read. A count marked ≈ was rounded by Telegram before we ever saw it — t.me prints these counters in full below 1,000 and to three significant figures above, so ≈142,000 means somewhere between 141,500 and 142,499.

Reaction mix

26 reactions across 21 posts, in 3 distinct kinds. The most used accounts for 53.8% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
👍1453.8%
❤1142.3%
🔥13.85%

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 23 of the 48 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 26 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 48 most recent posts we hold, published 15 June 2026 to 11 November 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: 6 of 29 posts held from the last 30 days (20.7%) 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).

11 Nov 2026, 16:31 UTC370 viewsread 14 November 2026

#电台 【神仙电台与音乐探索】 radio.garden :在地球仪上收听全球电台。 radiooooo.com :按国家和年代听音乐。 everynoise.com :探索各种冷门音乐流派。 somafm.com :无广告主题广播。 nts.live :伦敦独立广播节目。 mixcloud.com :海量 DJ 混音与电台节目。 internetradio.com :数千个在线广播。 tunein.com :全球广播一站式搜索。 🦋频道 @JustReformation 🦋频道 @BaccanoSoul

11 Nov 2026, 16:28 UTC342 viewsread 14 November 2026

#纪录片 【纪录片与硬核短片】 topdocumentaryfilms.com:免费纪录片大全。 documentaryheaven.com :高质量纪录片合集。 mediastorm.com :深度纪录片短片。 folkstreams.net :民间文化纪录片。 shortoftheweek.com :全球获奖短片。 vimeo.com/staffpicks :Vimeo 官方精选短片。 🦋频道 @JustReformation 🦋频道 @RabbitStorm

11 Nov 2026, 16:19 UTC303 viewsread 14 November 2026

#自学 日语自学网站,需要的朋友保存。 1. OJAD: www.gavo.t.u-tokyo.ac.jp/ojad 东京大学开发的权威日语音调工具,收录主流教材词汇,支持输入任意日语文本,生成东京方言的语调、重音标注并播放示范语音。 2. 日语语法指南: res.wokanxing.info/jpgramma 经典 Tae Kim 日语语法指南的中文译本,从日语本身逻辑讲解语法,避开英语语法思维,打开即为中文版,适合自学。 3. Weblio词典: www.weblio.jp 老牌综合词典,单词全,专业术语啥的都有。 4. 日语校对网站: enno.jp 日语文字校验工具,自动检查错字、脱字、转换失误、标点、全半角错误,适合初稿自查,复杂语法、语感问题仍需要人工核对。 5. 在线学日语汉字: www.jakka.jp 带笔顺的汉字 PDF 字帖,可打印使用。 6. NINJAL-LWP: tsukubawebco…

11 Nov 2026, 12:59 UTC278 viewsread 14 November 2026
Photo

#京东双十一 #购物抵现红包🧧 《京东双十一购物抵现红包加码》 ⏰持续时间: 21:00-21:15 京东21点开始,限时15分钟不限量加码 ◎必中,保底1.18🧧超多6.6大包🧧 ◎购物直接抵现🧧 ◎持续“15”分钟 ◎最后一场加码 额外抽奖次数 (先京进会场领取今天的三次,避免日常红包干扰加码) 11:/抢紅包,购痛快~最高26888元紅包等你来!⇲⤴️ιng◶栋!C2F6V7Sno2RVi9G6! MF8335 跳转京东App领取: https://u.jd.com/o18eo93 《🦋复制全文打开京东方便领取》

11 Nov 2026, 12:58 UTC236 viewsread 14 November 2026
Photo

#淘宝双十一 #购物抵现红包🧧 📣今晚21:00-21:15📣 【淘宝双十一购物抵现红包🧧限时加码会场】 记得得先把每天一次机会拆完 ◎ 限时不限量 ◎保底必得1.1元购物抵现红包🧧,6.6元随机掉落 ◎只有15分钟 ◎最后一场加码 88¥ CZ057 pL0r6dP5i03¥ https://m.tb.cn/h.jRp997h 双11超级红包限时加码 《🦋复制全文打开淘宝方便领取》

11 Nov 2026, 12:06 UTC220 views2 reactionsread 14 November 2026

#开放注册公告 吾爱破解论坛2026年11月11日光棍节开放注册 开放注册时间: 2026年11月11日 20:00 — 22:00 点击注册 🦋频道 @JustReformation

👍2

11 Nov 2026, 11:59 UTC221 views1 reactionsread 14 November 2026
Photo

#京东双十一 #购物抵现红包🧧 《京东双十一购物抵现红包加码》 ⏰持续时间: 20:00-20:15 京东20点开始,限时15分钟不限量加码 ◎必中,保底1.18🧧超多6.6大包🧧 ◎购物直接抵现🧧 ◎持续“15”分钟 额外抽奖次数 (先京进会场领取今天的三次,避免日常红包干扰加码) 11:/抢紅包,购痛快~最高26888元紅包等你来!⇲⤴️ιng◶栋!C2F6V7Sno2RVi9G6! MF8335 跳转京东App领取: https://u.jd.com/o18eo93 《🦋复制全文打开京东方便领取》

👍1

11 Nov 2026, 11:01 UTC212 viewsread 14 November 2026
Photo

速度上 69¥ CZ007 eQ486dPZlPJ¥ https://m.tb.cn/h.j9vw7Hv 双11巅峰价限时超级红包 《🦋复制全文打开淘宝方便领取》

11 Nov 2026, 10:58 UTC206 viewsread 14 November 2026
Photo

#淘宝双十一 #购物抵现红包🧧 📣11月11日19点,19点,19点 ◎50w个8元巅峰价购物抵现红包🧧 ◎满100元可用,中奖率90%,领完即止 ◎红包需领取后24小时内使用,限指定商品可用 69¥ CZ007 eQ486dPZlPJ¥ https://m.tb.cn/h.j9vw7Hv 双11巅峰价限时超级红包 《🦋复制全文打开淘宝方便领取》

11 Nov 2026, 01:59 UTC223 views2 reactionsread 14 November 2026
Photo

#京东双十一 #购物抵现红包🧧 《京东双十一购物抵现红包加码》 ⏰持续时间: 10:00-10:15 京东10点开始,限时15分钟不限量加码 ◎必中,保底1.18🧧超多6.6大包🧧 ◎购物直接抵现🧧 ◎持续“15”分钟 额外抽奖次数 (先京进会场领取今天的三次,避免日常红包干扰加码) 12:/抢紅包,购痛快~最高26888元紅包等你来!!O0xd24MvviwUgzTc! CA1565 ,⇒⤴️ιng◔倲 跳转京东App领取: https://u.jd.com/o6qaUx0 《🦋复制全文打开京东方便领取》

👍1🔥1

10 Nov 2026, 11:58 UTC224 views1 reactionsread 14 November 2026
Forwarded from @BaccanoSoulPhoto

#淘宝双十一 #购物抵现红包🧧 📣今晚20:00-20:15📣 【淘宝双十一购物抵现红包🧧限时加码会场】 记得得先把每天一次机会拆完 ◎ 限时不限量 ◎保底必得1.1元购物抵现红包🧧,6.6元随机掉落 ◎只有15分钟 58¥ CZ005 n83q6XFinR8¥ https://m.tb.cn/h.jRWd1UJ 双11超级红包限时加码 《🦋复制全文打开淘宝方便领取》

👍1

9 Nov 2026, 13:34 UTC351 views1 reactionsread 14 November 2026

学任何东西都快的8个秘诀 1、费曼学习法 以教会别人为目的去学习某个知识,这是我非常推荐的学习方法。 当你试着把一个复杂的知识讲给别人听时,才会发现自己哪里没理解透彻。 学习最好的方式之一,就是输出。以教促学,越教越懂。 2、遗忘曲线模型 为什么很多知识刚学会,过几天就忘了? 因为人的记忆会随着时间逐渐衰退。想要真正记住知识,就要在快要遗忘的时候及时复习。 结合间隔重复和主动回忆,能让知识记得更牢固。 3、巨人学习法 想快速进入一个陌生领域,最有效的方法之一,就是先找到这个领域真正厉害的人。 研究他们的思维方式、做事方法和成功经验,先吸收已经被验证的方法,再结合自己的实际情况不断改进。 站在巨人的肩膀上,往往比自己从零摸索更有效率。 4、学习金字塔原理 为什么有些人学了很多知识,却始终记不住、用不上? 因为他们长期停留在被动学习阶段,只看书、听课,却很少主动思考和实践。 想要提高学习效率,就要多讨…

👍1

Showing the 12 most recent of 48 posts we hold for @JustReformation. 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.

Posts recorded as deleted after publishing

We recorded 4 posts on @JustReformation as deleted — posts this register held that were missing from the channel’s public page on two separate reads, taken from different network addresses at least an hour apart.

A deletion is not wrongdoing. This register can see that a post it held is no longer on the channel’s public page, and when — not why. Expired ad placements, reposts, rotating links and corrections all look the same. This is a count of recorded detections, not an exact total: it misses deletions we could not see, because only a post we held and later re-read inside the page can be seen to go, and it may include a small number of wrong records. How this is measured.

First seen missing
4 November 2026
Most recent seen missing
12 November 2026
Median time before seen missing
28 hours
Seen missing in the last 30 days
4

Forward network

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

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.

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

“🔍此岸情报局🔎” (@JustReformation), 7,599 subscribers as measured 11 November 2026. Telegram Register, tgregister.com/channel/JustReformation.

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.