Channel
@inside1024
On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Stars · Posts · Citations · Telegram's recommendations · Cite this entry
105,579subscribers
-35 since we began measuring on 6 August 2026
Risers and fallers across the register · movement among entries of 100,000–316,228.
| Telegram ID | -1001491178054 |
|---|---|
| Type | Channel |
| Username | @inside1024 |
| Created | Between 1 April 2019 and 31 August 2021— estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 6 August 2026 |
| Last confirmed live | 12 August 2026 |
| Measurements held | 9 |
| Confirmed unchanged | 1 time, most recently 12 August 2026 |
| On Telegram | t.me/inside1024 |
Other / unclassifiable — a classification, not a measurement. An on-box language model (Qwen3.6-35B-A3B-UD-Q6_K_XL, prompt version 1) read this channel’s own recent posts on 10 August 2026 and assigned it the closest of 31 fixed categories, at 89% 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.
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 12 Aug 2026, 21:13 | 105,579 | -2 |
| 11 Aug 2026, 22:45 | 105,581 | -5 |
| 10 Aug 2026, 23:32 | 105,586 | +1 |
| 9 Aug 2026, 03:52 | 105,585 | -15 |
| 8 Aug 2026, 04:21 | 105,600 | -13 |
| 7 Aug 2026, 04:13 | 105,613 | -4 |
| 6 Aug 2026, 04:31 | 105,617 | +3 |
| 6 Aug 2026, 03:45 | 105,614 | no change |
| 6 Aug 2026, 03:39 | 105,614 | first reading |
213 posts held, back to 5 August 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 17 pagesof Telegram’s post history, 20 posts per page.
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 109 of 212 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 12 August 2026 |
|---|---|
| Posts held | 213 (5 August 2026 – 12 August 2026) |
| Views total | 154,639 |
| Reactions total | 193 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 12 Aug 2026, 18:29 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.
Measured directly from 39 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.
179 reactions across 86 posts, in 12 distinct kinds. The most used accounts for 38.0% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 68 | 38.0% | |
| 🖕 | 58 | 32.4% | |
| 👍 | 23 | 12.8% | |
| 👎 | 7 | 3.91% | |
| 😁 | 6 | 3.35% | |
| 💩 | 5 | 2.79% | |
| 😢 | 4 | 2.23% | |
| 🤡 | 4 | 2.23% | |
| 🎅 | 1 | 0.559% | |
| 😱 | 1 | 0.559% | |
| 🤮 | 1 | 0.559% | |
| 🥴 | 1 | 0.559% |
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 109 of the 213 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 193reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 213 most recent posts we hold, published 5 August 2026 to 12 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.
A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @inside1024. 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 213 most recent posts we hold for this entry, published 5 August 2026 to 12 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.
什么是变强的表现？ 1.不和家里人争吵。 2.懂得闷声发大财。 3.不在言语上争高低。 4.不向别人诉苦。 5.不轻易显露自己的财富。 6.不会为了面子花钱。 7.懂得在适当的时候装傻。 8.能够控制自己的情绪。 9.不会随意评价他人。 10.懂得在利益面前让步。 11.善于倾听，少说话。 12.从不炫耀自己的人脉。 13. 明白免费的东西往往最贵。 14.不参与无意义的社交。 15.懂得投资自己的大脑。 16.能屈能伸。 17.不会在失意者面前谈得意之事。 18.不轻易承诺。 19.懂得感恩。 20.做事留有余地
现在这个年代，养儿怎么可能防老… 出不出国，孩子都有自己的生活。从经济角度而言，生养孩子已经没有任何意义。但在养育的过程中，自己得到了情绪价值，孩子也帮自己抵抗了人生的虚无。 @inside1024
⚡️⚡️⚡️⚡️😂😂😂😂 😀😀😀😀😀😀😀😀😀😀 🤩🤩🤩🤩🤩🤩🤩 1820036.com ➡️ 182体育 豪礼大放送、高端嫩模、劳力士手表、奔驰E300等大礼等你来豪夺 😀😀😀😀😀😀😀😀😀😀😀😀😀 1.PG电子赏金女王一举斩获830万并成功提现 2.PA真人豪赢644万一路长虹一天实现暴富 3.PG电子爆890万并以成功提现实现财富自由 4.大哥在PA真人百家乐累计盈利突破1000万 😁😀😁😁😁😁😚🙁😛☺️😉😋以及多种电子钱包存取款、大额出款无忧 （您的最佳选择，欢迎体验） 大额出款额外奖励8888-128888，双重日存彩金128888+4688每日送，周流水彩金68888每周送，双重签到彩金16888+3888送不停 😅😏😃😃🙃😢😅😚😍😀😏😝 【 #182体育 全网独此一家】 公平、公正、公开、 信誉第一、服务第一 不限ip、 免实名、免绑卡、免绑手机号码 每日存款彩金每日送，每笔存款加赠1% 🤩🤩🤩🤩…
🖕3
😀😀😀😀😀😀😀😀😀😀😀😀😀 🤑 铂莱娱乐 8年老品牌 广告费每月投入高达500万U，全网担保上押1300万U，送“野鸡黑台”一句话，勿伤玩家利益，勿毁博彩信誉。 🫢 【贵宾会 750.cc 】 强势启航，集团背书，信誉担保，全网首发，引爆彩票娱乐新纪元！六合彩49倍 挑战全网心水 全民代理全民收单 助您白手起家 加拿大28全网最高赔率 挑战全网公式 🏃♀️ 很多平台热衷于宣传玩家中奖，却对中奖后的“漫长审核”“异常冻结”闭口不谈。 😀 就在本月，PG电子爆出200万u巨奖。本金仅为5000u…… 😎 截至目前：200万U 已极速下发，单笔提款百万u秒出，亿级储备金硬核坐镇，不要去考验小盘的良心，要选就选大盘的实力。 🌟 当无数野鸡网在生灭中挣扎时，铂莱始终屹立不倒。这就是我们送给全行业最响亮的耳光！ 😀😀😀😀: @BLKF0 😀😀😀😀: @bolaidaili 🟢🟢😀😄: @bolaiylc_bot …
🖕3
百度网盘是胶片佬一生的噩梦。以前还会假惺惺地给两次一分钟的试用，现在更是直接给你36k/s的下载速度。全世界经济倒退只有百度繁荣昌盛。 @inside1024 #内幕消息
💩1
慢慢开到我旁边，摇下车窗。 里面坐着一个穿白衬衫的瘦高男人，长得有点像年轻时候的易建联。 他隔着副驾冲我喊了一句“尼玛的是不是有毛病啊？” 我戴着耳机没反应过来，愣了一会，我摘下耳机说“你走啊？我让你不走了？” 易建联说：“你个表挡老子路搞么逼？” 听到这我一下子血压就上来了，直接开启了狂暴模式。 “我爆米花！你马勒戈博弈的，呛你马个C蹬，你给老子下来”。” 然后我们进行了五分钟左右非常没有建设性的交流，主要就是互相骂。 最后后面的车开始按喇叭，那辆卡罗拉才急匆匆走了。 临走的时候，他还把车里的一个劣质香薰扔出来砸我，没砸到。 这一下我彻底炸了，我捡起地上的砖头就往车上扔。也没砸到。 然后我开始追车。 追了没多远，踩进一个水坑，整个人直接摔趴在地上。 那时候顾不上疼了，爬起来继续追。最后车没影了。 我回家洗了个澡，躺在床上越想越气。越想越睡不着。 第二天不知道怎么回事，我突然就下定决心去摆摊了。 我也说不上来为什么，也没想通什么…
2017年的时候，我特别想月入过万。 现在说起来，这个目标多少有点寒酸。但那时候这仿佛就是我的人生目标。 当时做淘宝客服没多久，底薪加提成，无论怎么折腾，也就一个月四五千。 后来我主动找老板换了个业务，专门跑批发客户。 这个活儿其实蛮辛苦的，要一个个找超市老板。但当时整个武汉市区的进口超市基本上都已经被我的同事覆盖到了，我没有多少发挥的空间。 那几个月，武汉能叫得上名字超市我都跑了个遍，后来没办法就开始往郊区钻。黄陂、新洲，只要地图上看着像有超市的地方，我都想进去问问。 最后还真让我谈下来几家本地超市，签了长期合同。从那以后，我的工资稳定在九千左右。 但没想到我开始更痛苦了。 因为九千距离一万，只有一千。如果我当时一个月五千，我可能觉得自己还不错。 但到了九千，我每天看着工资条，都觉得那一千块钱像一个小门槛，站在门槛里面的是我，门槛外面是“月入过万的人”。 我不知道那时候为什么那么执着。可能一万块钱在当时对我来说，更像是一张毕业…
你不知道的内幕消息🅥 pinned «蚂蚁阿福的体脂秤是什么垃圾产品，家属一称体脂33%？？？？人在健身房inbody测得20%，教练还安慰说偏高了🌚 @inside1024 #内幕消息»
埃隆·马斯克 vs 洛杉矶市长 实时薪资 内幕消息｜优质资源 | 优质信息
银行为什么拒绝你提前还房贷？ 一旦任由提前还贷蔓延，冤大头会以肉眼可见的速度消失……
😂😂😂😂 😂😂😂😂 球速体育 相信品牌的力量，老品牌，值得信赖 🤩🤩🤩🤩🤩🤩🤩 qs1736.cc ➡️ 球速体育 豪礼大放送、高端嫩模、劳力士手表、奔驰E300 等大礼等你来豪夺 😀😀😀😀😀😀😀😀😀😀😀😀😀 球速体育 大会员再创新高： 1.泰国大老板百家乐存50万出512万 2.斯里兰卡神秘大哥连续5天总提4000万+ 3.实力盘总PA真人喜提990万一路爆红 4.pp电子糖果1000小注一拉爆出70万大奖 😁😀😁😁😁😁😚🙁😛☺️😉😋以及多种电子钱包存取款、大额出款无忧 （您的最佳选择，欢迎体验） 大额出款额外奖励8888-128888，双重日存彩金128888+4688每日送，周流水彩金68888每周送，双重签到彩金16888+3888送不停 😅😏😃😃🙃😢😅😚😍😀😏😝 【 #球速体育 安全有保障】 老品牌值得信赖、安全第一、保障第一 不限ip、 免实名、免绑卡、免绑手机号码 每日存款彩金每日送，每笔存…
🖕2
Netflix 热门纪录片100部（高画质） https://pan.quark.cn/s/1b6bc779aac4 @meiriyishu
Showing the 12 most recent of 213 posts we hold for @inside1024. 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 — 47,265 of 1,151,006entries 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.
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.
Named by 23 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.
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.
The reverse of the list above, and a different kind of signal. This does not require this channel to have ever been asked about directly — each row below is a channel we DID ask Telegram about, whose Telegram-generated list happened to include this one. A channel can appear here with an empty list above it, because being named by someone else’s query is independent of having been queried itself.
This channel appears in 4 seed channels' Telegram-generated recommendation lists in total. Each is Telegram’s list for THAT channel, not this one — see how this is measured.
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 12 August 2026 — this entry's latest reading, not the date you are reading this.
“你不知道的内幕消息🅥” (@inside1024), 105,579 subscribers as measured 12 August 2026. Telegram Register, tgregister.com/channel/inside1024.
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.