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Channel

汉堡包的工兵记录

@hanbaobaodepdao

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

2,195subscribers

+0 since we began measuring on 19 September 2026

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

Register entry

Telegram ID-1003626822843
TypeChannel
Username@hanbaobaodepdao
Description不知道
CreatedBetween 1 December 2025 and 31 May 2026 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded19 September 2026
Last confirmed live19 September 2026
Measurements held2
On Telegramt.me/hanbaobaodepdao

Growth

2,19519 Sept 2026, 07:47 — 2,195 subscribers19 Sept 2026, 08:22 — 2,195 subscribers19 Sept 2026, 07:4719 Sept 2026, 08:22
2 measurements taken within a single day. 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”. The vertical axis spans 2,193–2,197 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
19 Sept 2026, 08:222,195no change
19 Sept 2026, 07:472,195first reading

Engagement

15 posts held, back to 16 June 2026the 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.

ERR · 30 days
180.4%
avg views ÷ 2,195 subscribers
Avg views / post
3,960
6 posts measured
Reaction rate
0.298%
reactions ÷ views · ER floor
Posts in window
7
of 15 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 4 of 6 measured posts that carry a reaction reading, and over those same posts' views.

What these figures were computed from
WindowRolling 30 days · latest post in window 10 September 2026
Posts held15 (16 June 202610 September 2026)
Views total23,760
Reactions total57
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken19 Sept 2026, 08:22 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
40
Videos
16
Links
7

Lifetime counters from Telegram’s own channel header, read 19 September 2026 — not the date at the top of this page, which is when the subscriber count was last read. Below Telegram’s rounding threshold, so these counts are exact.

Video runtime
1m 09s
Average length
14s

Measured directly from 5 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

117 reactions across 11 posts, in 8 distinct kinds. The most used accounts for 49.6% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
💩5849.6%
2319.7%
🥰1210.3%
🤡75.98%
🤮75.98%
👎65.13%
👍32.56%
🕊10.855%

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 11 of the 15 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 117 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 15 most recent posts we hold, published 16 June 2026 to 10 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

10 Sept 2026, 14:35 UTC≈1,700 views2 reactionsread 19 September 2026
Photo

👩老师:#汤圆 🏠地点:#番禺 📱联系方式:@QQ20021 ✈️频道:https://t.me/jzb810 💰价格:600P / 1100PP 🕐时间:2026.9 🏞️人照:9 服务:xcz +kiss 优点:人照一致吧,🐻有C,口的久不叫不停,姿势随便换,不催钟。 缺点:人比较冷淡,不会找话题,一问一答,你不找话题就各自看手机。kiss的时候嘴巴不会动,三点浅褐色,乳晕大 简评:肉肉的女生,但不是胖。好冷淡,聊天没笑过,如果不是我强行找话题,真的是各自玩手机了,为啥她频道里那么多好评,难道我被下菜了? 总结:亏,情绪价值为零,没意思,还是等心尖尖回来吧😭😭😭

2

6 Sept 2026, 04:53 UTC≈2,540 viewsread 19 September 2026

你回去后,总感觉心里空空落落的😞😞😞

4 Sept 2026, 12:38 UTC≈7,400 views51 reactionsread 19 September 2026
Photo

第14返 心尖尖 怎么会腻呢 这个世界上只有你一个 当然要好好爱你😘

💩41🤡4🥰31🕊1🤮1

30 Aug 2026, 00:30 UTC≈4,040 views3 reactionsread 19 September 2026
Voice message

Voice message, posted without a caption

🥰3

21 Aug 2026, 15:22 UTC≈5,980 views1 reactionsread 19 September 2026
Voice message

Voice message, posted without a caption

1

18 Aug 2026, 02:03 UTC≈6,670 views17 reactionsread 19 September 2026
Photo

第13返 感谢心尖尖的礼物😘。

👎6💩4🤡3🥰3👍1

15 Aug 2026, 14:20 UTC≈6,030 views7 reactionsread 19 September 2026
Photo

👩老师:#喵喵 🏠地点:#天河 ☎️联系方式:@miaoq10 频道:https://t.me/qiqid10 💰价格:700P ⏰时间:2026.8 🏷️标签:#嫩妹、#🐍、#69 简评:人照9,脸小小的,留好门,进门发现躲在门后面,吓我一跳。 古灵精怪有趣的灵魂,聊天不冷场,备有漱口水,三点粉嫩,👅咪咪,吹还会含着水吹,🐍够(本人不喜欢蛇太久三四分够了), 缺点:小A🐻,两处小纹身,抽烟(我不介意,因为我也抽), 有点脆桩机请绕道 总结:可返 EC瑟瑟小视频 https://t.me/ECsex_bot?start=b7656e41

4👍2💩1

12 Aug 2026, 13:43 UTC≈5,970 views3 reactionsread 19 September 2026
Photo

👩老师:#uu酱 🏠地点:#天河 ☎️联系方式:@uujianglailo 频道:https://t.me/xiaoxinbabamendejia1 💰价格:600P ⏰时间:2026.8 首先感谢 (阿付私人友情赞助半价 @greng7788 ) 简评:半i人吧要你找话题聊,大骨架,🐻B,服务拉跨,没陪浴、没🐍,口技打个中等吧,看看下面都要遮着捂着,暂时想不到好优点。 总结一坨

3

20 Jul 2026, 04:31 UTC≈7,880 views23 reactionsread 19 September 2026
Video

👩老师:#豹哥 🏠地点:#禅城 ☎️联系方式: 💰价格: ⏰时间:2026.7 简评:12返,色狼大战蜘蛛侠?趁着她睡着的时候偷袭?

💩12🤮6🥰32

Showing the 12 most recent of 15 posts we hold for @hanbaobaodepdao. 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 1 registered channel — 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.

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 19 September 2026 — this entry's latest reading, not the date you are reading this.

“汉堡包的工兵记录” (@hanbaobaodepdao), 2,195 subscribers as measured 19 September 2026. Telegram Register, tgregister.com/channel/hanbaobaodepdao.

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.