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Telegram profile photo for 知恩的朋友圈

Channel

知恩的朋友圈

@zhienbao66

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

1,190subscribers

+1,131 since we began measuring on 17 September 2026

Risers and fallers across the register · movement among entries of 1,000–3,162.

Register entry

Telegram ID-1002843544185
TypeChannel
Username@zhienbao66
Created11 August 2025 — measured — dated from the channel’s first post
First recorded17 September 2026
Last confirmed live5 November 2026
Measurements held11
Confirmed unchanged1 time, most recently 5 November 2026
On Telegramt.me/zhienbao66

Topic

Giveaways & airdrops — 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 3 October 2026 and assigned it the closest of 31 fixed categories, at 85% 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

591,220639.517 September 2026 — 59 subscribers17 September 2026 — 59 subscribers19 September 2026 — 339 subscribers3 October 2026 — 866 subscribers13 October 2026 — 994 subscribers20 October 2026 — 1,018 subscribers23 October 2026 — 1,063 subscribers26 October 2026 — 1,220 subscribers30 October 2026 — 1,174 subscribers2 November 2026 — 1,187 subscribers5 November 2026 — 1,190 subscribers1,19017 September 20265 November 2026
11 measurements spanning 49 days, net +1,131. 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”.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
5 Nov 2026, 01:171,190+3
2 Nov 2026, 05:091,187+13
30 Oct 2026, 00:551,174-46
26 Oct 2026, 21:061,220+157
23 Oct 2026, 14:501,063+45
20 Oct 2026, 08:361,018+24
13 Oct 2026, 18:56994+128
3 Oct 2026, 18:58866+527
19 Sept 2026, 07:00339+280
17 Sept 2026, 13:2259no change
17 Sept 2026, 12:4759first reading

Engagement

9 posts held, back to 11 August 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 1 page 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 9 posts for this entry, the most recent from 17 September 2026. An engagement rate over an empty window would be a number about nothing.

What this channel posts

Video runtime
14s
Average length
14s

Measured directly from 1 video 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

1 reaction across 1 post, in 1 kind.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
❤1100.0%

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 1 of the 9 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 1 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 9 most recent posts we hold, published 11 August 2025 to 17 September 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

17 Sept 2026, 11:30 UTC107 views1 reactionsread 17 September 2026
Photo

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❤1

17 Sept 2026, 10:44 UTC135 viewsread 17 September 2026

请把以下链接转发至你自己的频道,代表已收录进优质资源列表 深圳优质频道 https://t.me/tcypa5 深圳优质群组 https://t.me/sztc888 抽奖福利 https://t.me/TCYPBP 报告模板 https://t.me/sztcypbg/4

17 Sept 2026, 09:28 UTC162 viewsread 17 September 2026
Photo

🎁更多抽奖 https://t.me/xiu8che 🎟️ 抽奖标题:深圳汤臣一品修车出击白嫖独家福利 📪抽奖说明:中奖者机器人会发送中奖信息 老师白嫖1P福利 龙华知恩 老师资料:https://t.me/tcypa5/3708 兑奖联系:@TCYPGJbot 出击时必须写报告 兑奖时限24小时 深圳汤臣一品独家福利#008 🎫 参与条件: 🎫 加入-深圳【汤臣一品】精选榜 🎫 加入-深圳汤臣一品-狼友交流 🎫 加入-汤臣一品学生会 🔰 (修车白嫖出击) 🎫 加入-知恩的朋友圈 🎁 奖品内容: 💰️ 白嫖券 × 1 📅 开奖时间:2026-09-20 00:00自动开奖 👉 参与抽奖链接: https://t.me/tgLotteryuw8bot?start=join-L178963693082

17 Sept 2026, 09:01 UTC149 viewsread 17 September 2026
Video

休息好久了刚回来老公们 刚开课,可预约哦💕

17 Sept 2026, 07:06 UTC214 viewsread 17 September 2026

😛 深圳嫩妹协会🌟 汇集优质老师与狼友,提供互动交流平台,共赴至臻体验 👉点击加入群组 欢迎您加入社群进行分享与交流。👏

17 Sept 2026, 07:01 UTC223 viewsread 17 September 2026
Photo

🎉 龙华知恩五折券抽奖 🎁 奖品清单 • p五折券 https://t.me/Sz2TB/8539 × 1 🛡️ 参与条件 • 加入 深圳淘宝修车团 • 加入 知恩的朋友圈 • 加入 深圳淘宝修车收集录 • 加入 深圳淘宝精选轮播 • 加入 深圳淘宝修车团(备用) • 参加抽奖后需在 深圳淘宝修车团 内发言1次 └ 群内发送“抽奖进度”查看完成度(每日限5次) • 必须设置用户名 🔮 祝福加持 • 祝福消耗:10淘金币 • 祝福上限:100次 • 祝福一次增加一个抽奖号,提高中奖率 • 幸运值祝福:支持 幸运值说明 ⌛ 抽选时刻 • 2026-09-20 15:00:00 📜 抽奖说明 中奖不可买卖,五折券有效期五天,过期回收群里积分兑换。 ✨ 愿命运之剑指引你们前行,直至胜利之光照耀每一个人。

Showing the 9 most recent of 9 posts we hold for @zhienbao66. 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.

Mentions

Named by 4 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.

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

“知恩的朋友圈” (@zhienbao66), 1,190 subscribers as measured 5 November 2026. Telegram Register, tgregister.com/channel/zhienbao66.

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.