普通人未来的养老还是靠子女的居家养老。 对于大部分家庭来说,养老院不是想不想去的问,而是去不起的问。 现在别说大城市的这种好养老院了,就是那种小县城的普通养老院,一个月的收费一般都是在3000左右,这还是能自理的价格,如果不能自理,那么小县城的养老院一个月也要干到5000左右了。 这个收费别说普通老人了,就是体制内的老人想要去这些地方养老都养不起。 内幕消息|优质资源 | 优质信息

Channel
你不知道的内幕消息🅥
@inside1024
On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Advertising · Posts · Citations · Telegram's recommendations · Cite this entry
107,649subscribers
+2,035 since we began measuring on 6 August 2026
Risers and fallers across the register · movement among entries of 100,000–316,228.
Register entry
| Telegram ID | -1001491178054 |
|---|---|
| Type | Channel |
| Username | @inside1024 |
| Description | 一些你不知道的内幕消息,最新资讯、大公司负面、时政财经、网友发布等高质量消息。 投稿/合作: @inside1024_bot 内容均来源社交媒体及公共平台,均不代表本频道观点,请酌情浏览。 |
| Created | Between 1 April 2019 and 30 September 2021 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 6 August 2026 |
| Last confirmed live | 4 October 2026 |
| Measurements held | 36 |
| Confirmed unchanged | 1 time, most recently 4 October 2026 |
| On Telegram | t.me/inside1024 |
Topic
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.
Growth
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 4 Oct 2026, 18:21 | 107,649 | -71 |
| 27 Sept 2026, 00:17 | 107,720 | -218 |
| 17 Sept 2026, 16:40 | 107,938 | +71 |
| 15 Sept 2026, 14:21 | 107,867 | +15 |
| 13 Sept 2026, 22:21 | 107,852 | -30 |
| 12 Sept 2026, 06:01 | 107,882 | -66 |
| 10 Sept 2026, 01:40 | 107,948 | -73 |
| 6 Sept 2026, 20:35 | 108,021 | -37 |
| 4 Sept 2026, 05:17 | 108,058 | +42 |
| 2 Sept 2026, 18:44 | 108,016 | -15 |
| 1 Sept 2026, 18:46 | 108,031 | +16 |
| 31 Aug 2026, 16:14 | 108,015 | +12 |
| 30 Aug 2026, 14:04 | 108,003 | -2 |
| 29 Aug 2026, 15:15 | 108,005 | -24 |
| 28 Aug 2026, 17:42 | 108,029 | -31 |
| 27 Aug 2026, 14:27 | 108,060 | +19 |
| 26 Aug 2026, 11:43 | 108,041 | +13 |
| 25 Aug 2026, 08:22 | 108,028 | -14 |
| 24 Aug 2026, 08:49 | 108,042 | +23 |
| 22 Aug 2026, 17:24 | 108,019 | first reading |
Engagement
2,253 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 127 pages of Telegram’s post history, 20 posts per page.
- ERR · 30 days
- 0.344%
- avg views ÷ 107,649 subscribers
- Avg views / post
- 370
- 1,119 posts measured
- Reaction rate
- 0.382%
- reactions ÷ views · ER floor
- Posts in window
- 1,119
- of 2,253 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 486 of 1,119 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 7 October 2026 |
|---|---|
| Posts held | 2,253 (5 August 2026 – 7 October 2026) |
| Views total | 414,534 |
| Reactions total | 762 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 7 Oct 2026, 11:58 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
- ≈38,300
- Videos
- ≈7,030
- Links
- ≈18,100
Lifetime counters from Telegram’s own channel header, read 7 October 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.
- Video runtime
- 1h 16m
- Average length
- 30s
Measured directly from 152 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
666 reactions across 377 posts, in 19 distinct kinds. The most used accounts for 33.6% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| 👍 | 224 | 33.6% | |
| ❤ | 187 | 28.1% | |
| 🖕 | 143 | 21.5% | |
| 💩 | 29 | 4.35% | |
| 🤡 | 28 | 4.20% | |
| 😁 | 18 | 2.70% | |
| 👎 | 10 | 1.50% | |
| 👏 | 4 | 0.601% | |
| 🔥 | 4 | 0.601% | |
| 🤣 | 3 | 0.45% | |
| 🤮 | 3 | 0.45% | |
| 🥴 | 3 | 0.45% | |
| 🫡 | 3 | 0.45% | |
| 🤪 | 2 | 0.3% | |
| 🍌 | 1 | 0.15% | |
| 💊 | 1 | 0.15% | |
| 🙏 | 1 | 0.15% | |
| 🤔 | 1 | 0.15% | |
| 🤨 | 1 | 0.15% |
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 431 of the 1,000 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 666 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 1,000 most recent posts we hold (the sample is capped at 1,000), published 11 September 2026 to 7 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.
Advertising
- Ad load
- 0.1%
- 1 of 1,000 posts carry an ad marker
- Regulatory tokens
- 1
- posts carrying an erid · 1 distinct token
- Median views · ads
- 335
- over 1 measured post
- Median views · rest
- 362
- over 999 measured posts
An ad marker, not a judgement about a post. A post is counted here because it carries one of two explicit markings: an erid token, which Russian law has required on paid placements since 2022 and which is issued against a specific advertising contract, or a #реклама / #ad hashtag in the body, which is the channel declaring it itself. The first is documentary; the second is a self-declaration and is weaker. No classifier reads the text and decides — nothing on this site guesses that a post is an advertisement.
This is a floor, and it can only ever be a floor. A channel that runs paid placements without marking them produces no marker for us to count, and an unmarked ad is indistinguishable from an ordinary post on the public surface. The ad load above therefore means “the share of posts that declared themselves”, never “the share of posts that were paid for”. A low figure is not evidence of a channel that runs few ads.
Both figures are medians, and no ratio between them is published. Each is a view reading that actually occurred on a post, picked by percentile_disc rather than averaged, so one viral post cannot move it and no interpolated value is invented between two readings. The sample on one side is under five posts, which is too thin to compare. The two figures are shown side by side with the count behind each, and deliberately not divided into a headline like “ads get x% fewer views” — an arithmetic that is easy to print and, at this sample size, means nothing.
| erid | Posts | First seen | Last seen |
|---|---|---|---|
| 1789797193 | 1 | 19 September 2026 | 19 September 2026 |
A token repeated across several posts is one advertising contract placed more than once, which is what the identifier is for. The strings are reproduced exactly as they appeared in the post or in its click-through URL and are not validated against any registry — we record the marker a channel published, and whether it resolves to a real contract is a question for the register that issued it.
Measured over the 1,000 most recent posts we hold (the sample is capped at 1,000), published 11 September 2026 to 7 October 2026. Views are the latest single reading held for each post, and any reading at or above 1,000 is rounded by Telegram to three significant figures.
Recent posts
有钱就会花天酒地。真相恰恰相反,真正高阶富人,越有钱、身价越高,反而越谨慎。他们精通风险控制,会计算婚恋带来的代价,害怕被人套路、惹上甩不掉的纠纷。只有一两千万这个阶段的男人,最容易放纵;等到拥有社会名望与巨额资产,首要任务就是守住身家、爱惜羽毛,挑选伴侣极度审慎,婚恋丛林里,富人优先算风险,其次才谈欲望。 内幕消息|优质资源 | 优质信息
OpenAI 和 Meta 净整些看着难受的组件,AI 写完是不是没人验收就上线啊 @inside1024 #内幕消息
👍1
重资产最大的风险,就是一旦押错方向,很难撤回来。 房地产也是一样。房子盖到一半,不可能因为市场变差,就把钢筋、水泥重新变回现金。 AI数据中心虽然比房地产灵活一些,但底层逻辑差不多。一旦GPU、电网、土地、服务器,这些钱一旦砸进去,就已经变成了沉没成本,很难完整收回来。 内幕消息|优质资源 | 优质信息
👍3
23条人生建议,来自20年的生活: 1. 去做极难的事情。 2. 亲密关系 3. 研究神经可塑性。 4. 掌握博弈论。 5. 专注于赚更多钱,而不是省钱 6. 因为99%的决定都是可逆的,所以大胆做决定 7. 追随你的痴迷。 8. 与高绩效者为伍。 9. 冒险吧,否则你会留下痛苦的遗憾 10. 拥抱你的怪异之处。 11. 永远不要试图融入。 12. 相信一切皆有可能。 13. 年轻时就放弃攀登企业职级 14. 为解决大问付费寻求帮助。 15. 调整你的心态来改善你的财务状况。 16. 相信世界正在为你而努力。 17. 研究人类心理学,而不是数学。 18. 忽略那些不成功的人的意见。 19. 没有人会在想着你。 20. 用金钱创造美好。 21. 从事感觉不像工作的工作。 22. 敢于打造个人品牌。 23. 开办一份每周通讯。 24. 每天在线写作。 25. 放弃做任何事都没有合适的时间。 26. 建立一个数字业务。 27. 擅长应…
👍2
环境比努力重要,想要赚钱,就要去钱多的地方去,环境本身就是财富。95年毕业,大部分同学去了深圳广州等地,而我回了三线小城市的一个钢铁企业上班。时至今日,这些在深圳广州的同学资产普遍都是上千万,不是因为他们工作努力,而是他们买的房子上涨了几十倍,95年3000元一平方买的房子,现在都是6万-10万一平方,两套房子单是房子就差不多千万资产了。这就是选择大于努力,环境大于努力的现实案例。 在时代机遇、时代红利面前,努力的作用微乎其微,努力除了让你有些心理安慰以外,对人生大的改变作用并不大。 内幕消息|优质资源 | 优质信息
为什么说县城没有未来? 县城消费的主力军就是公务员。 但是,公务员一旦退休,就去了一线城市。 因为,他们要去找子女。 达官贵人系列,子女多在北上广深,有在金融系统的,有在卫生系统的,有在司法系统的。第一代看的足够远,第二代就这么托举出来了!在这个时代大变局的时期,他们站的足够高,看的足够远,也就飞的又远又高!与其说时代幸运儿,还不如说事在人为! 内幕消息|优质资源 | 优质信息
985大学同学聚会,四个老男人失业了三个~ 前几个月,跟大学同学一起吃了顿饭。 一共四个人,两个深圳本地,两个外地。 (博格从北京来,另外一个从成都来)。 四个人里面,只剩下一个在大金融平台上班, 其余三个都(选择性失业)成为个体户了。 A同学,之前在券商,现在自己搞跨境金融业务了; B同学,之前在信托,现在自己搞家族办公室了(客户是一个有钱亲戚); C同学,之前在券商,现在在某大型保险资管。 博格,之前在券商基金,十年前就开始自己搞自媒体了。 大家都抱怨现在业务不好搞, 点菜也非常朴素,关键也吃不动了。 年龄大了身体多少都有点小毛病了。 我觉得985毕业的中年男人也就这样了。 内幕消息|优质资源 | 优质信息
最近刷到名校失业,无一例外都是四十岁左右,中年危机绝不是空穴来风。 哈工大的秦仕江,贵州人,高中时获贵州生物联赛一等奖被保送厦门大学,放弃,后考入哈尔滨工业大学,2011年本科毕业后进入中建五局,主要是担任劳务管理岗,任职九年后失业,现已失业四五年。看他的视频,说不太利索,整个人显得臃肿苍老,可见在物质精神上都受到了严重的创伤。 那个卖气球的陶瓷大碗,是哈工大的研究生毕业,有着多年的程序员生涯曾经是何等的意气风发,后经历裁员失业再创业失败,现在沦落长沙街头卖气球。视频里可以看出他依然乐观开朗,整个人的精神状态还是可以的,用他的来说是一只打不死的小强。 卖水果的温柔老范是北理工自动化本科毕业,在长沙街头卖水果。 叶东,河南信阳大别山走出的名牌大学生,07年华中科技大学计算机毕业,在深圳当了17年的程序员,身体被掏空,在年龄与AI的双重打击下彻底失业。现在准备在抖音上东山再起已有3.5万粉丝。 还有被极昼工作室报道的那个北京45岁房…
父辈留下的家风,不追求物质享受,安于平淡的生活。 待遇只是岗位履历对应的制度安排,真正值得关注的,是她们数十年坚守的自律与平常心。制度规则面前,任何人都要按照任职档案核定保障,不存在随意增加特殊福利的情况。 内幕消息|优质资源 | 优质信息
李敏和李讷退休后什么待遇?2003年,李讷在北京万寿路接受采访。镜头里的住处,被介绍为一套普通干部住宅。几年后,姐姐李敏参加公开活动,身份介绍里出现的是“解放军总政治部军职离休干部”。 外界常常拿姐妹二人的晚年保障做对比,很多人会简单理解为组织给予的待遇有高低差别,这种认知忽略两人分属两套不同体系,所有保障标准,全部依据各自的工作履历、任职档案,按照当年干部政策核定。 李讷早年毕业于北京大学历史系,进入《解放军报》担任编辑,后续在北京地方党政岗位任职,时代动荡之后,她的工作一度中断,生活陷入艰难。八十年代她调入中央办公厅秘书局继续工作,一直待到办理退休手续,人事关系归入中央机关序列,执行行政干部退休相关政策。 组织分配万寿路的单元住房,属于同级退休干部标准的普通干部住宅,屋内陈设简单,没有额外特殊配置。2003年的那次采访,也完整记录下她平淡简朴的居家状态。 李敏的工作轨迹和妹妹完全不同,她从北京师范大学化学系毕业,先后在国防科…
现在所有互联网大厂的终点就是网货。 打开任何一个APP,就是度X满,拍X贷等等。 所有的资本都进去了,说明暴利啊。 这都是赚的谁的钱呢?年轻人啊。 在上面借钱,实在太简单了。一个身份证,然后通讯录提取权就能下款,而且是秒到账啊。默认12期,20%左右的利息,而且还合规。也不怕不还钱,反正通讯录在手,天下我有。 所以负债越来越多。 内幕消息|优质资源 | 优质信息
Showing the 12 most recent of 2,253 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.
Forward network
Republished by
Channels on the register that have forwarded this channel's posts into their own feed.
@feelingsyiheng · 14 posts隐约雷鸣
@loom_up · 43 postsLss233's.Bookmarks();
@lss233_k · 872 posts新宇宙
@yuzhou2088new · 32 postsAI探索指南
@aigc1024 · 37,3131 post优质信息收藏夹
@chunse1024 · 26,2461 post自定义程序
@customProgram · 11 post有趣的图文
@funnypics2000 · 21 post撸猫🐱
@fxxcat · 41 post今天我请客 请你去死😳
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@https1024 · 31,0171 post呼和浩特爱好交流群
@huhhot · 111 post零七八碎
@lingqibasui42 · 51 post⏰ 闪购提醒
@virmach_sale · 1,2041 post工具
@weichenjilu · 11 post我的收藏
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@youganerfa · 1651 post云梦小站
@yunnew · 4551 post知识技能
@zhishijineng42 · 51 post
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 36 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. The 24 listed below are the most frequent namers; the rest are counted above but not each listed.
Named by
Channels on the register whose posts name this channel's handle.
@https1024 · 31,017775 posts优质信息收藏夹
@chunse1024 · 26,246286 posts出海🚢&自媒体运营秘籍
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@zheshijieya · 5,42747 postsAI探索指南
@aigc1024 · 37,31324 posts两性知识
@liangxing365 · 14,15515 posts书墨资源
@shumozy · 20,98514 posts你不知道的冷知识
@knowledge1024 · 19,53212 posts写真花絮系列
@xiezhenhuaxu · 7,0796 postsChatGPT 精选
@AwesomeChatGPT · 15,0633 postsfeelings yiheng
@feelingsyiheng · 12 posts超级索引🔍
@hao123hub · 1,0222 posts两性知识「新」
@liangxing1024 · 3,1552 posts极品风韵魅妇
@shaofu2026 · 2,8992 posts树洞秘语🌳 【匿名】
@shudongmiyu · 2,1032 posts新宇宙
@yuzhou2088new · 32 posts知识技能
@zhishijineng42 · 52 posts自定义程序
@customProgram · 11 post•导航频道
@guantou · 9591 post[资源数据库]
@xinxishujuku · 21 post杂物
@zaawuu · 5991 post
Names
Channels on the register whose handles appear in this channel's posts.
@meiriyishu · 12,702920 posts优质信息收藏夹
@chunse1024 · 26,246884 postsAI探索指南
@aigc1024 · 37,31365 posts🏆182体育🏆官网福利
@vip182ty888 · 3,91260 posts182体育 精准赛事推荐、nba篮球、足球|世界杯
@VIP182TYTJ · 2,53660 posts🍉吃瓜🍉 搞笑🍉 新闻
@chiguagaoxiaoxinwen · 11,79258 posts中年人生存报告
@dogdairy · 14,06953 posts副业赚钱探索指南
@text1024 · 19,75652 posts🍉 每日吃瓜【人间观察实录】
@doubannew · 3,83549 posts沙雕日常图鉴
@moyu2023 · 8,81749 posts122体育💖PG电子💖麻将胡了💖AG捕鱼
@qsty8999 · 4,61849 posts122体育 赛事推荐、足球、nba篮球|世界杯
@QSTY988 · 4,96349 posts🌸自慰 🌸反差🌸
@ziweifancha7 · 7,60149 postsbolai.com铂莱世界杯冠名
@blzhaoshang · 5,00148 posts8K国际u台 PG电子 麻将胡了 百家乐
@GW_8KGJ · 7,66747 posts互联网从业者充电站
@https1024 · 31,01747 posts星辰观察站
@web2star · 8,42146 posts频道收藏推荐
@taobao1024 · 2,76945 posts出海🚢&自媒体运营秘籍
@yunying23 · 21,16144 postsN1国际u台 PG电子 麻将胡了 AG捕鱼 百家乐
@N1GW8 · 6,11939 posts草台班子世界
@zheshijieya · 5,42732 posts8K国际官方频道
@PG8K001 · 56029 posts你不知道的冷知识
@knowledge1024 · 19,53215 posts书墨资源
@shumozy · 20,98514 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.
Appears in Telegram’s recommendations for other channels
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.
@kkaifenxiang · 260,685
Telegram ranks this channel #7 of 39 here — alongside 38 others — read 19 August 2026
@woshadiao · 115,062
Telegram ranks this channel #14 of 52 here — alongside 51 others — read 14 August 2026
@piracy6 · 77,545
Telegram ranks this channel #19 of 61 here — alongside 60 others — read 19 August 2026
@zaihuapd · 284,519
Telegram ranks this channel #21 of 40 here — alongside 39 others — read 12 August 2026
@xhqcankao · 164,627
Telegram ranks this channel #28 of 45 here — alongside 44 others — read 12 August 2026
@tnews365 · 164,674
Telegram ranks this channel #37 of 59 here — alongside 58 others — read 12 August 2026
@achiguao · 81,701
Telegram ranks this channel #43 of 45 here — alongside 44 others — read 18 August 2026
@newszg_official · 160,915
Telegram ranks this channel #48 of 52 here — alongside 51 others — read 12 August 2026
This channel appears in 8 seed channels' Telegram-generated recommendation lists in total. Each is Telegram’s list for THAT channel, not this one — see how this is measured.
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 4 October 2026 — this entry's latest reading, not the date you are reading this.
“你不知道的内幕消息🅥” (@inside1024), 107,649 subscribers as measured 4 October 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.