【近期训练成果汇报】 两个多月的训练成果, 勉强算是初具人形🤡 背部训练最大的好处依旧是面部提拉, 除了下颚线愈发清晰, 面中部的松垂浮囊也在逐渐消失, 方向正确的前提下唯一需要做的也就只剩坚持了。

Channel
「SNKRX」男士穿搭交流社区
@snkrxbook
On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Cite this entry
22,339subscribers
+8,154 since we began measuring on 7 August 2026
Risers and fallers across the register · movement among entries of 10,000–31,623.
Register entry
| Telegram ID | -1002017306701 |
|---|---|
| Type | Channel |
| Username | @snkrxbook |
| Created | Between 1 November 2023 and 31 May 2024 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 7 August 2026 |
| Last confirmed live | 23 October 2026 |
| Measurements held | 45 |
| Confirmed unchanged | 1 time, most recently 23 October 2026 |
| On Telegram | t.me/snkrxbook |
Topic
Other / unclassifiable — 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 10 September 2026 and assigned it the closest of 31 fixed categories, at 84% 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 why it has no browse page of its own yet.
Growth
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 23 Oct 2026, 07:39 | 22,339 | +13 |
| 22 Oct 2026, 10:19 | 22,326 | -15 |
| 21 Oct 2026, 03:39 | 22,341 | +19 |
| 20 Oct 2026, 04:36 | 22,322 | +4 |
| 19 Oct 2026, 04:49 | 22,318 | +4 |
| 18 Oct 2026, 04:38 | 22,314 | -15 |
| 17 Oct 2026, 06:48 | 22,329 | +3 |
| 16 Oct 2026, 03:16 | 22,326 | -49 |
| 14 Oct 2026, 23:44 | 22,375 | +3 |
| 13 Oct 2026, 17:46 | 22,372 | -422 |
| 10 Oct 2026, 02:01 | 22,794 | -107 |
| 5 Oct 2026, 18:59 | 22,901 | +64 |
| 30 Sept 2026, 04:18 | 22,837 | -16 |
| 17 Sept 2026, 23:20 | 22,853 | +464 |
| 15 Sept 2026, 17:55 | 22,389 | +1,756 |
| 14 Sept 2026, 01:57 | 20,633 | +1,739 |
| 12 Sept 2026, 10:17 | 18,894 | +8 |
| 10 Sept 2026, 08:58 | 18,886 | -160 |
| 7 Sept 2026, 05:57 | 19,046 | +981 |
| 4 Sept 2026, 11:36 | 18,065 | first reading |
Engagement
59 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 86 pages of Telegram’s post history, 20 posts per page.
- ERR · 30 days
- 13.0%
- avg views ÷ 22,339 subscribers
- Avg views / post
- 2,910
- 6 posts measured
- Reaction rate
- 0.03%
- reactions ÷ views · ER floor
- Posts in window
- 6
- of 59 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 5 of 6 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 12 October 2026 |
|---|---|
| Posts held | 59 (15 June 2026 – 12 October 2026) |
| Views total | 17,489 |
| Reactions total | 5 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 13 Oct 2026, 06:18 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
- Video runtime
- 11m 32s
- Average length
- 1m 55s
Measured directly from 6 videos with a duration reading, out of the posts we hold for this channel — not this channel’s whole posting history, only the sample this register has actually read. An exact reading to the second, taken from the post itself rather than from Telegram’s own rounded chrome, so it carries no ≈ mark.
Reaction mix
302 reactions across 49 posts, in 8 distinct kinds. The most used accounts for 80.5% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 243 | 80.5% | |
| 👍 | 43 | 14.2% | |
| 👏 | 8 | 2.65% | |
| 🆒 | 3 | 0.993% | |
| 👎 | 2 | 0.662% | |
| 🐳 | 1 | 0.331% | |
| 🤡 | 1 | 0.331% | |
| 🥴 | 1 | 0.331% |
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 54 of the 59 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 302 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 59 most recent posts we hold, published 15 June 2026 to 12 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
锋味的油泼辣子说实话, 很不错! 虽然你能在陕西走街串巷买到更香的, 但单就线上渠道而言, 这是我买到过最符合油泼辣子原教旨的产品了。
「群友补剂实操反馈」
❤2
诸位近几个月自我修行成果如何? 有晒图的吗?
目前绍宋同人AI做的最牛的一个 真特么6啊
【今日份整改思路✓】 抗衰还是得趁早啊, 不然有些科技属于是不得不上, 不上再咋改效果都不会好。
❤3
来山里拾取野生奖品了🤡
❤5👍2
【汇报一下个人训练成果】 时间:8.11日-9.18日 体重:84.5kg😀86.1kg 增长1.6kg 肌肉量:63.8kg😀66.7kg 增长2.9kg 体脂率:20.8%😀18.3% 减少2.5% 从这个结果来看, 新手期教带练是很有用的, 虽然运动量大到每次都快被燃成舍利子, 但才开始一个多月就有2.9kg的增长(虽然肌酸充水估计占一多半), 后续半年下来体态应该能达到薄肌及格线了🤡 与诸位共勉, 都搞起来呱!
❤8👏1
沉没成本, 很神奇吧? 这个论点已经说了太多次了: 请尽快停止用男性思维里的恩怨观去想当然套用给女性🤡 给对方创造真实沉没成本才是感情稳定的基石, 当她的付出大于你的时候, 离不开的人大概率是她而不是你。 你可以不当渣男, 但更别当老实人。
❤16
【关于眼袋和对应方案简析】 毋庸置疑的, 眼袋显老显疲态对男性而言重要性可以排在No.1, 法令纹印第安纹跟眼袋比都得靠边。 我从今年开始被不少人说看起来很疲惫, 虽然面部轮廓在健身减脂面部瑜伽作用下愈发流畅, 结果把眼袋问题给越来越凸显出来了🤡 但眼袋同样也是除了手术再无任何改善办法的玩意。 个人尝试过各种办法, 冷敷热敷精油按摩改善睡眠消除水肿, 都 没 用。 真性眼袋一旦形成, 除了把它切了再无它法。 已知适合年轻人的手术方案有两种, 内切和眶隔释放。 两种方案手术入路一致, 都是从下眼睑内部切口, 只不过内切是把脂肪抽出来搅碎再平铺打回去, 眶隔释放是把脂肪直接从内部位移平铺到泪沟附近。 前者价格相对便宜,术后恢复期短,缺点是二次打入成活率偏低,后期可能面临凹陷的风险。 后者价格略贵,术后恢复期长,恢复期不能做大的表情,对医生技术要求偏高,优点是一次性解决眼袋泪沟且维持时间长(10年+)。 从个人目前了解到的…
❤5
海量个例有趣的地方就在这了
❤2
【简析孙割三位一体论】 1.薄肌——低成本的自我提升投入。 无论是薄肌减脂护肤面部瑜伽这类,都属于耗时间但不怎么花钱又能长期出效果的东西,是绝对值得坚持去做的。在以十年为单位的男性中青年时代,一个能持续性百分比缓慢提升上限的buff,你为什么不去用? 2.孙学——拒绝沉没成本的运行逻辑。 作为大乘赢学的分支,孙学的特色在于不要脸只要里子,落袋的才是自己的。 而孙学逻辑下男女关系中你的物质支出精神支出时间支出即便等价交换都等于输,一定是要让对方支出大于你,沉没成本的压力都甩给对方,你才算赢。 3.黄毛——最低道德底线的实操策略。 黄毛之所以得吃不是因为黄毛帅,而是黄毛从小没人管。 情话瞎话张口就来,送女朋友接客屡见不鲜,怀了出事了原地消失。 当你能真正学会黄毛最低道德模式下运作的真谛,你会发现当下绝大多数女性99%在两性关系中拿捏男方的手段对你完全无效了。
❤13
Showing the 12 most recent of 59 posts we hold for @snkrxbook. 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.
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
Named by 18 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.
Named by
Channels on the register whose posts name this channel's handle.
@xbsj123 · 50,98463 posts皇帝后宫
@wwwccrt · 16,01454 posts🦋足间诱惑 | 极品丝足美脚集散地
@xia_zu · 30,89748 posts🎉TG黄文小说大全🎊
@hwxsdq · 36,19243 posts异世界传送门-机场VPN梯子
@ysjcsm · 31,20635 posts吃瓜看戏
@chiguakanxi321 · 10,99129 posts抖音快手 走光 闪现 露点
@sx610 · 82,47526 posts🐱 猫猫杂货店(精品实用ACG作品分享推荐)🐱
@maoacg · 13,73324 posts莉莉丝黑心小窝~🖤(AV系列🖤)
@Lilithbitch02 · 11,20113 posts国产黄色成人中文小说
@av2291 · 8,46711 posts免费音乐小说破解软件💖
@ZWMP3 · 8,64811 posts吃瓜美女日记
@xwp99 · 34,3146 posts楼凤/站街【全国】
@flzjqg · 27,2892 posts杭州Alex的大奶认证榜单
@alexteamreport · 141,0681 post杭州Alex的小视频
@alexxiaoshipin · 30,9791 post芙莉庭院丨二次元 / 动漫 / 3D 🌸
@fuli065 · 4,3441 post®𝘿𝙖𝙙𝙏𝙑(杭州、上海)
@lyfulishe · 88,2991 post杭州Alex总是123
@whyalexalways1234 · 29,1211 post
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 23 October 2026 — this entry's latest reading, not the date you are reading this.
“「SNKRX」男士穿搭交流社区” (@snkrxbook), 22,339 subscribers as measured 23 October 2026. Telegram Register, tgregister.com/channel/snkrxbook.
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.