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Channel

夢遊日記2.0

@penguin_never_die

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

5,946subscribers

+393 since we began measuring on 6 August 2026

Risers and fallers across the register · movement among entries of 3,162–10,000.

Register entry

Telegram ID-1003457890429
TypeChannel
Username@penguin_never_die
CreatedBetween 1 November 2025 and 31 March 2026 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded6 August 2026
Last confirmed live7 November 2026
Measurements held25
Confirmed unchanged1 time, most recently 7 November 2026
On Telegramt.me/penguin_never_die

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 12 September 2026 and assigned it the closest of 31 fixed categories, at 49% 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

5,5535,9595,7566 August 2026 — 5,553 subscribers7 August 2026 — 5,553 subscribers10 August 2026 — 5,564 subscribers13 August 2026 — 5,580 subscribers16 August 2026 — 5,578 subscribers19 August 2026 — 5,591 subscribers22 August 2026 — 5,592 subscribers25 August 2026 — 5,586 subscribers28 August 2026 — 5,581 subscribers30 August 2026 — 5,580 subscribers3 September 2026 — 5,625 subscribers8 September 2026 — 5,623 subscribers12 September 2026 — 5,672 subscribers16 September 2026 — 5,700 subscribers1 October 2026 — 5,908 subscribers8 October 2026 — 5,959 subscribers13 October 2026 — 5,847 subscribers16 October 2026 — 5,866 subscribers20 October 2026 — 5,912 subscribers22 October 2026 — 5,920 subscribers25 October 2026 — 5,939 subscribers29 October 2026 — 5,932 subscribers1 November 2026 — 5,921 subscribers4 November 2026 — 5,920 subscribers7 November 2026 — 5,946 subscribers5,9466 August 20267 November 2026
25 measurements spanning 93 days, net +393. 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 5,492–6,020 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 25
Measured (UTC)SubscribersChange
7 Nov 2026, 10:595,946+26
4 Nov 2026, 04:195,920-1
1 Nov 2026, 06:095,921-11
29 Oct 2026, 01:325,932-7
25 Oct 2026, 16:005,939+19
22 Oct 2026, 18:575,920+8
20 Oct 2026, 00:175,912+46
16 Oct 2026, 22:015,866+19
13 Oct 2026, 20:195,847-112
8 Oct 2026, 00:555,959+51
1 Oct 2026, 17:025,908+208
16 Sept 2026, 02:005,700+28
12 Sept 2026, 05:395,672+49
8 Sept 2026, 09:415,623-2
3 Sept 2026, 06:075,625+45
30 Aug 2026, 15:385,580-1
28 Aug 2026, 02:065,581-5
25 Aug 2026, 04:565,586-6
22 Aug 2026, 12:045,592+1
19 Aug 2026, 08:135,591first reading

Engagement

17 posts held, back to 3 July 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 10 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
23.7%
avg views ÷ 5,946 subscribers
Avg views / post
1,410
5 posts measured
Reaction rate
0.059%
reactions ÷ views · ER floor
Posts in window
5
of 17 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 3 of 5 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 1 November 2026
Posts held17 (3 July 2026 – 1 November 2026)
Views total7,047
Reactions total3
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken5 Nov 2026, 01:37 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

Video runtime
55s
Average length
11s

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

24 reactions across 10 posts, in 2 distinct kinds. The most used accounts for 95.8% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
❤2395.8%
👍14.17%

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 17 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 24 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 17 most recent posts we hold, published 3 July 2026 to 1 November 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

Telegram’s own ‘edited’ marker: 0 of 5 posts held from the last 30 days (0%) carried it when this register last read them. The marker says a post was changed after publishing, not what it said before — this register holds the earlier wording only where an edit fell between two of its own reads (see the edit ledger and how it is measured).

1 Nov 2026, 04:00 UTC517 viewsread 5 November 2026
Photo

🎉🎉🎉 开奖通知 🎉🎉🎉 🔖 防伪编号:H179117426088 🎰 【上海栖心地】 小水 @xiaoxinren1314 白嫖福利 ⚠️ 抽奖说明: 72h内cj,并出报告,不出报告群组拉黑,最终解释权归老师本人所有。 💁 参与情况:96达标 / 253报名 🔋 人品加成:320票 ⚡️× 9 🎅 联系领奖:@xiaoxinren1314 1. 不想上班可是领导逼太紧了⚡️× 9 奖品:白嫖P(72h内cj,并出报告,不出报告群组拉黑) 祝大家心想事成好运连连!

23 Oct 2026, 03:14 UTC≈1,110 views0 reactionsread 5 November 2026

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23 Oct 2026, 02:57 UTC≈2,260 views1 reactionsread 5 November 2026
Photo

#方落 @xiaobeixxx 【验证时间】:2026/10 【修车水费】:1400P / 2500pp 【颜值照片相似度】:99% 【身材照片相似度】:100% 【开课环境】:浦东老小区,内有洞天,课室很舒服,有4只猫陪玩,有漱口水一次性浴巾,东西齐全 【MBTI】:E人好聊,话题不断 进门见到传说中的方落老师,人照无差,老师很有精神的打招呼,并端上迎宾酒,从闲聊的第一句话开始,很快的进入状态了,i人友好啊~~ 陪浴没有特别花活,但是洗的很仔细,边聊天很棒的氛围,浴中舌吻很美好,擦干身体会蹲下把脚都好好擦干再上拖鞋 正课开始的,口活特别好时长特别足,方落老师舌头比较宽接触面积大,舔蛋的时候爽翻了,插入后各种姿势都能自己找到发力点动,相当激烈,精神肉体双满足,爽的都低于平均时长了 后面的同学还没来,课后小酌时间老师也不摧,多喝了两杯才走,很完整满足的一堂课! 复刷预定! 综合加成 917/ 10‎ = 91.7 …

❤1

19 Oct 2026, 02:49 UTC≈1,420 viewsread 5 November 2026

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16 Oct 2026, 09:43 UTC≈1,740 views2 reactionsread 5 November 2026
Video

🎉 米其林静安区嘉月抽奖活动 📝 抽奖说明:参加抽奖前,请先考虑交通情况,以免浪费奖额。 https://t.me/moduguangmingding2/28094https://t.me/godagent007/462 关注ls的频道之后再点击下列按钮可参加抽奖。 中奖后凭抽奖机器人消息、或者频道中公布的名单,直接联系ls兑奖; 如未另行约定,惯例7天有效,遇红休顺延 评价请发给机器人 @gmdast_bot 更多福利请查看光明顶狼友讨论频道:https://t.me/+THHpZTCKkbMzYWE1 ✅ 参与条件: 1. 加入 嘉月(上海静安区) 2. 加入 魔都光明顶教学课程展览室2 3. 加入 特工验证榜 4. 加入 魔都光明顶狼友讨论区 5. 加入 沪上川渝极品女大嫩妹学府 6. 加入 沪上川渝极品女大嫩妹学府榜 7. 加入 I人日记 - 校长严选 8. 加入 夢遊日記2.0 9. …

❤1👍1

5 Oct 2026, 06:09 UTC≈3,690 views1 reactionsread 5 November 2026
Photo

🎰 【上海栖心地】 小水 @xiaoxinren1314 白嫖福利 📮 参与条件: 🪪 必须设置用户名 🎫 加入-夢遊日記2.0 🎫 加入-上海栖心地 └ 🎟️ 发言数大于 888 条 🎫 加入-小水的秘密花园 🎫 加入-上海栖心地榜单 🎫 加入-上海栖心地备用群 🎁 奖品内容: 💰️ 白嫖P(72h内cj,并出报告,不出报告群组拉黑) × 1 ⚠️ 抽奖说明: 72h内cj,并出报告,不出报告群组拉黑,最终解释权归老师本人所有。 🔋 人品加成:⚡️× 9 规则 📅 开奖日期:(北京时间) 2026年11月01日 12时00分00秒

❤1

1 Oct 2026, 04:00 UTC≈3,180 views1 reactionsread 5 November 2026
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🎉🎉🎉 开奖通知 🎉🎉🎉 🔖 防伪编号:H178831526699 🎰 【上海栖心地】 嘉月 @DSjiayue 白嫖P福利 ⚠️ 抽奖说明: 72h内cj,并出报告,不出报告群组拉黑,最终解释权归老师本人所有。 💁 参与情况:75达标 / 230报名 🔋 人品加成:319票 ⚡️× 9 🎅 联系领奖:@DSjiayue 1. Wind Man⚡️× 9 奖品:白嫖P(72h内cj,并出报告,不出报告群组拉黑) 祝大家心想事成好运连连!

❤1

23 Sept 2026, 07:03 UTC≈3,090 viewsread 5 November 2026

抽奖米其林 闵行 知知 抽奖活动(编号L1789552721079EBB5C101)已成功开奖: 创建人:柏林[7198140553] 已参与人数:955 中奖名单如下: 寒冰泪(@ujff_ddd)[5918564247](奖品:知知p半价) 点点(@hfrgse)[8200120353](奖品:50红包) 尼古拉斯·狗剩儿(@Nic_Gosh)[6199022827](奖品:50红包)

21 Sept 2026, 13:17 UTCviews —

夢遊日記2.0 pinned «https://t.me/bbca188_bot?start=join_16EMJrqLVu00ZGQ9 上海集团回归整改,福利满满,不能水群刷屏,兄弟们点击链接可以回家了。»

21 Sept 2026, 13:17 UTC≈3,240 viewsread 5 November 2026

https://t.me/bbca188_bot?start=join_16EMJrqLVu00ZGQ9 上海集团回归整改,福利满满,不能水群刷屏,兄弟们点击链接可以回家了。

9 Sept 2026, 05:07 UTC≈7,190 views5 reactionsread 5 November 2026
Photo

#林瑾瑶 @linjinyao1 【验证时间】:2026/6 【修车水费】:2000P 【颜值照片相似度】:120% 【身材照片相似度】:110% 【开课环境】:长宁电梯小区,地铁站边上,有门禁无楼禁,,有一次性浴巾、漱口水,课室环境舒适 【MBTI】:小I人,不知所措会尴尬傻笑 在健身房会忍不住一直偷看的直角肩高颜值美女,文静气质下充满着刻苦训练的好身材 高颜值与好身材并存,气质良好,性格内向可爱,却不无聊,不笑时清冷系花气质,撑不过3秒就开始傻笑,适合逗一逗,很有情趣,是完美的健身系女友,复刷预定! 综合加成 887/ 10‎ = 88.7 推荐程度 A +

❤5

Showing the 12 most recent of 17 posts we hold for @penguin_never_die. 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

Named by 13 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 7 November 2026 — this entry's latest reading, not the date you are reading this.

“夢遊日記2.0” (@penguin_never_die), 5,946 subscribers as measured 7 November 2026. Telegram Register, tgregister.com/channel/penguin_never_die.

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.