Telegram 常见骗局避坑

Channel
苏州学习频道
@xuexisz
On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Cite this entry
8,021subscribers
-1,520 since we began measuring on 7 August 2026
Risers and fallers across the register · movement among entries of 3,162–10,000.
Register entry
| Telegram ID | -1001965739124 |
|---|---|
| Type | Channel |
| Username | @xuexisz |
| Created | Between 1 April 2023 and 31 October 2023 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 7 August 2026 |
| Last confirmed live | 16 September 2026 |
| Measurements held | 14 |
| Confirmed unchanged | 1 time, most recently 16 September 2026 |
| On Telegram | t.me/xuexisz |
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 11 September 2026 and assigned it the closest of 31 fixed categories, at 81% 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 |
|---|---|---|
| 16 Sept 2026, 04:38 | 8,021 | -194 |
| 12 Sept 2026, 07:21 | 8,215 | -141 |
| 8 Sept 2026, 07:35 | 8,356 | -150 |
| 3 Sept 2026, 08:52 | 8,506 | -127 |
| 31 Aug 2026, 01:17 | 8,633 | -151 |
| 28 Aug 2026, 07:07 | 8,784 | -146 |
| 24 Aug 2026, 21:43 | 8,930 | -224 |
| 21 Aug 2026, 02:18 | 9,154 | -169 |
| 17 Aug 2026, 20:54 | 9,323 | -112 |
| 14 Aug 2026, 18:18 | 9,435 | -48 |
| 11 Aug 2026, 06:11 | 9,483 | -55 |
| 7 Aug 2026, 21:54 | 9,538 | -3 |
| 7 Aug 2026, 18:16 | 9,541 | no change |
| 7 Aug 2026, 18:07 | 9,541 | first reading |
Engagement
18 posts held, back to 17 April 2025 — the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 29 pages of Telegram’s post history, 20 posts per page.
Nothing published in the last 30 days. ERR and ER are rolling 30-day measures, so there is nothing to compute — we hold 18 posts for this entry, the most recent from 20 July 2026. An engagement rate over an empty window would be a number about nothing.
What this channel posts
- Video runtime
- 1h 07m
- Average length
- 8m 29s
Measured directly from 8 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
107 reactions across 14 posts, in 3 distinct kinds. The most used accounts for 57.9% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 62 | 57.9% | |
| 👍 | 43 | 40.2% | |
| 🤷♂ | 2 | 1.87% |
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 14 of the 18 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 107 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 18 most recent posts we hold, published 17 April 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
爱自己
❤3
#广告 #vpn 🥇跨境专线VPN!最低8元! 🥇超划算!超级快!超好用! 💎 金融专线,极低延迟! 💎 全球80+国家地区线路! 💁 在线客服: @jiumei996 📱 开户地址: https://bayun.onl/#/register?code=tB4shYZE 🎟️ 邀请码: tB4shYZE 💰年付优惠券:bayun2026
#丝袜 不同D视觉效果展示
❤3
同是天涯沦落人 相逢何必曾相识
❤1
@勇哥餐饮创业说:2025全年典型踩坑案例合集
❤2
学无止境
❤3👍2
#梅毒 日本梅毒感染持续高位 确诊数连续四年破1.3万例 日本梅毒疫情形势严峻,感染人数已持续多年处于高位。据日本厚生劳动省数据,该国2025年梅毒感染病例数再度超过1.3万例,这是自2022年首次破万(1.3万例)以来,连续第四年维持在此高位。2023年感染数更曾达到超1.5万例的历史峰值。与2013年(仅1000多例)相比,十余年间感染人数激增了十余倍,增长趋势迅猛。 从感染人群看,男性感染者约占三分之二,且从20多岁到60多岁的各年龄段男性感染者均在增加。女性感染者则主要集中在20多岁年龄段。日本专家分析认为,社交媒体和交友软件的普及,导致与不特定多数人发生性行为的情况增加,是疫情扩散的一大主因。 梅毒是一种可导致神经、心血管等多系统严重损害的传染病,还能通过母婴垂直传播。日本媒体指出,许多感染者是在症状恶化后才就医,导致治疗延误。日本厚生劳动省已公开呼吁民众加强预防,并在怀疑感染时尽早接受检测和治疗。
❤4
生理构造
👍14❤2
Video, posted without a caption
❤2
苏州新文化传播交流群温馨提示
知己知彼
Showing the 12 most recent of 18 posts we hold for @xuexisz. 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.
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 16 September 2026 — this entry's latest reading, not the date you are reading this.
“苏州学习频道” (@xuexisz), 8,021 subscribers as measured 16 September 2026. Telegram Register, tgregister.com/channel/xuexisz.
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.