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Channel

海南大学兼职公开榜(三亚海口学院)

@hnwdhlgk

On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Posts · Posts edited after publishing · Citations · Handles named that no longer answer · Cite this entry

48,444subscribers

-1,816 since we began measuring on 20 August 2026

Risers and fallers across the register · movement among entries of 31,623–100,000.

Register entry

Telegram ID-1003079439848
TypeChannel
Username@hnwdhlgk
CreatedBetween 1 August 2025 and 31 October 2025 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded20 August 2026
Last confirmed live28 October 2026
Measurements held39
Confirmed unchanged1 time, most recently 28 October 2026
On Telegramt.me/hnwdhlgk

Topic

Adult — 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 9 September 2026 and assigned it the closest of 31 fixed categories, at 64% 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

47,01651,33449,17520 August 2026 — 50,260 subscribers21 August 2026 — 49,625 subscribers22 August 2026 — 49,908 subscribers24 August 2026 — 50,691 subscribers25 August 2026 — 50,603 subscribers26 August 2026 — 50,406 subscribers27 August 2026 — 50,760 subscribers28 August 2026 — 50,377 subscribers29 August 2026 — 49,672 subscribers30 August 2026 — 49,971 subscribers31 August 2026 — 49,841 subscribers1 September 2026 — 49,918 subscribers2 September 2026 — 49,461 subscribers3 September 2026 — 48,985 subscribers5 September 2026 — 51,334 subscribers8 September 2026 — 50,340 subscribers11 September 2026 — 50,207 subscribers13 September 2026 — 49,810 subscribers14 September 2026 — 49,649 subscribers16 September 2026 — 49,604 subscribers18 September 2026 — 49,767 subscribers2 October 2026 — 50,202 subscribers7 October 2026 — 50,053 subscribers11 October 2026 — 49,147 subscribers14 October 2026 — 47,016 subscribers15 October 2026 — 47,750 subscribers16 October 2026 — 47,576 subscribers17 October 2026 — 47,547 subscribers18 October 2026 — 47,513 subscribers19 October 2026 — 48,008 subscribers20 October 2026 — 47,932 subscribers21 October 2026 — 48,356 subscribers22 October 2026 — 48,238 subscribers23 October 2026 — 49,142 subscribers24 October 2026 — 48,585 subscribers25 October 2026 — 48,312 subscribers26 October 2026 — 48,721 subscribers27 October 2026 — 48,640 subscribers28 October 2026 — 48,444 subscribers48,44420 August 202628 October 2026
39 measurements spanning 69 days, net -1,816. 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 46,368–51,982 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 39
Measured (UTC)SubscribersChange
28 Oct 2026, 20:0948,444-196
27 Oct 2026, 19:3648,640-81
26 Oct 2026, 21:3648,721+409
25 Oct 2026, 19:3748,312-273
24 Oct 2026, 20:5548,585-557
23 Oct 2026, 19:3749,142+904
22 Oct 2026, 17:0648,238-118
21 Oct 2026, 12:4848,356+424
20 Oct 2026, 06:5147,932-76
19 Oct 2026, 03:5848,008+495
18 Oct 2026, 04:1847,513-34
17 Oct 2026, 02:4747,547-29
16 Oct 2026, 03:5847,576-174
15 Oct 2026, 06:0847,750+734
14 Oct 2026, 02:3647,016-2,131
11 Oct 2026, 13:4149,147-906
7 Oct 2026, 01:1950,053-149
2 Oct 2026, 03:1750,202+435
18 Sept 2026, 12:4249,767+163
16 Sept 2026, 05:4049,604first reading

Engagement

71 posts held, back to 19 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 140 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
1.97%
avg views ÷ 48,444 subscribers
Avg views / post
955
25 posts measured
Reaction rate
0.175%
reactions ÷ views · ER floor
Posts in window
25
of 71 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 17 of 25 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 25 October 2026
Posts held71 (19 August 2026 – 25 October 2026)
Views total23,874
Reactions total30
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken29 Oct 2026, 02:28 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
742
Videos
160
Links
111

Lifetime counters from Telegram’s own channel header, read 29 October 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
7m 01s
Average length
11s

Measured directly from 40 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

77 reactions across 41 posts, in 4 distinct kinds. The most used accounts for 90.9% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
❤7090.9%
👎56.49%
👏11.30%
😢11.30%

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 45 of the 71 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 77 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 71 most recent posts we hold, published 19 August 2026 to 25 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.

Recent posts

25 Oct 2026, 11:00 UTC883 views1 reactionsread 29 October 2026
Photo

🧚‍♀️ 萌萌 #三亚 #吉阳区 #嫩妹 📊 0条车评,综合评分 好评 0% |人照 |服务 中评 0% |颜值 |态度 差评 0% |身材 |环境 ❣️ 给萌萌写评价 ❣️ 查看老师所有评价 🧚‍♀️ #8p #13pp 预约:@xxsyaskl6666 双向:@xiaoxuezaisybot

❤1

24 Oct 2026, 14:49 UTC996 views0 reactionsread 29 October 2026
Photo

🧚‍♀️ 颜颜 #三亚 #吉阳区 #嫩妹 📊 0条车评,综合评分 好评 0% |人照 |服务 中评 0% |颜值 |态度 差评 0% |身材 |环境 ❣️ 给颜颜写评价 ❣️ 查看老师所有评价 🧚‍♀️ #6p #10pp 预约:@qiq7886 双向:@qiqq3312bot

24 Oct 2026, 10:46 UTC982 views3 reactionsread 29 October 2026
Photo

本群于2026-10-23 18:43:00至2026-10-31 18:43:00举行抽奖活动,每人最多可抽奖不限次,每次抽奖会消耗积分10。 参与条件 需发言≥10条、需积分≥20、需加入群/频道、 海南大学兼职公开榜(三亚海口学院) 海南大学(三亚海口学院) 海南大学兼职报告榜 海南导航页 海南大学积分商城 兮兮的朋友圈👑 本次抽奖活动由兮兮老师独家赞助 中奖后请联系兮兮老师进行核销 本次活动没有抽奖次数限制,抽完结束 每次需要10学分,不够不可参与 1、优惠券不与其他群组叠加使用 2、中奖后7天内核销,否则作废 3、不得转让出售中奖名额 奖品如下: 🎁 200猿通用优惠券 └ 已抽5 剩余3 中奖率11.5% 🎁 300猿pp优惠券 └ 已抽3 剩余2 中奖率7.7% 🎁 半价p优惠券 └ 已抽0 剩余1 中奖率3.8% 海南大学群组中发送 兮兮、兮兮优惠券、兮兮刮刮乐 中任意一词 即可跳转…

❤3

24 Oct 2026, 09:33 UTC880 views2 reactionsread 29 October 2026
Photo

🧚‍♀️ 兮兮 #三亚 #吉阳区 #嫩妹 📊 1条车评,综合评分9.33 好评 100% |人照 9 |服务 10 中评 0% |颜值 9 |态度 10 差评 0% |身材 9 |环境 9 ❣️ 给兮兮写评价 ❣️ 查看老师所有评价 🧚‍♀️ #9p #16pp 预约:@xixi77700 双向:@xiaa8877_bot

❤2

23 Oct 2026, 15:28 UTC493 views1 reactionsread 24 October 2026
Photo

🧚‍♀️ 笑笑 #三亚 #吉阳区 #嫩妹 📊 0条车评,综合评分 好评 0% |人照 |服务 中评 0% |颜值 |态度 差评 0% |身材 |环境 ❣️ 给笑笑写评价 ❣️ 查看老师所有评价 🧚‍♀️ #6p #11pp 预约:@tongbaobe 双向:@tongbaobei_bot

❤1

22 Oct 2026, 06:30 UTC674 views4 reactionsread 24 October 2026
Photo

🧚‍♀️ 丹丹 #三亚 #天涯区 #嫩妹 📊 9条车评,综合评分8.81 好评 88.9% |人照 8.82 |服务 8.7 中评 0% |颜值 8.81 |态度 8.86 差评 11.1% |身材 8.83 |环境 8.86 ❣️ 给丹丹写评价 ❣️ 查看老师所有评价 🧚‍♀️ #7p #13pp 预约:@qq0232zz 双向:@zz100232qqbot

❤4

21 Oct 2026, 12:18 UTC791 views3 reactionsread 24 October 2026
Photo

🧚‍♀️ 小九 #三亚 #吉阳区 #嫩妹 📊 0条车评,综合评分 好评 0% |人照 |服务 中评 0% |颜值 |态度 差评 0% |身材 |环境 ❣️ 给小九写评价 ❣️ 查看老师所有评价 🧚‍♀️ #6p #11pp 预约:@lj07895 双向:@lj07895_bot

❤3

21 Oct 2026, 10:59 UTC694 viewsread 23 October 2026
Photo

🧚‍♀️ 霏霏 #三亚 #吉阳区 #抓龙筋 📊 1条车评,综合评分9.2 好评 100% |人照 8 |服务 10 中评 0% |颜值 8 |态度 10 差评 0% |身材 |环境 10 ❣️ 给霏霏写评价 ❣️ 查看老师所有评价 🧚‍♀️ #3p #9pp 预约:@fefieizlj000 双向:@feifeizlj001_bot

20 Oct 2026, 11:01 UTC660 views1 reactionsread 21 October 2026
Photo

🧚‍♀️ 索菲亚 #三亚 #天涯区 #洋酒 📊 0条车评,综合评分 好评 0% |人照 |服务 中评 0% |颜值 |态度 差评 0% |身材 |环境 ❣️ 给索菲亚写评价 ❣️ 查看老师所有评价 🧚‍♀️ #19p #23pp 预约:@Bob3235 双向:@xiyangyang6_bot

❤1

20 Oct 2026, 10:54 UTC511 viewsread 21 October 2026
Photo

🧚‍♀️ 婷婷 #海口 #龙华区 #御姐 📊 0条车评,综合评分 好评 0% |人照 |服务 中评 0% |颜值 |态度 差评 0% |身材 |环境 ❣️ 给婷婷写评价 ❣️ 查看老师所有评价 🧚‍♀️ #6p #12pp 预约:@ttzdqy 双向:@Ttzdqy_bot

18 Oct 2026, 07:55 UTC866 views1 reactionsread 20 October 2026
Photo

🧚‍♀️ 小洋 #三亚 #吉阳区 #御姐 📊 0条车评,综合评分 好评 0% |人照 |服务 中评 0% |颜值 |态度 差评 0% |身材 |环境 ❣️ 给小洋写评价 ❣️ 查看老师所有评价 🧚‍♀️ #5p #9pp 预约:@QQxiaoyang 双向:@YY66781BOT

❤1

16 Oct 2026, 12:32 UTC982 views0 reactionsread 19 October 2026
Photo

🧚‍♀️ 小雪抓龙筋 #海口 #龙华区 #抓龙筋 📊 0条车评,综合评分 好评 0% |人照 |服务 中评 0% |颜值 |态度 差评 0% |身材 |环境 ❣️ 给小雪抓龙筋写评价 ❣️ 查看老师所有评价 🧚‍♀️ #3p #8pp 预约:@xiaoyangzlj 双向:@xiaoyangzlj_bot

Showing the 12 most recent of 71 posts we hold for @hnwdhlgk. 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.

Posts edited after publishing

@hnwdhlgk edited 5 posts after it first published — the same permalink now carries different wording than the one this register originally read, caught because our own crawl held a copy of the earlier text.

An edit is not deception. Typo fixes, price updates and corrections look exactly like this too — this register can tell you the wording changed and when, not why. How this is measured.

First edit seen
21 August 2026
Most recent edit
19 October 2026

Forward network

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

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 28 October 2026 — this entry's latest reading, not the date you are reading this.

“海南大学兼职公开榜(三亚海口学院)” (@hnwdhlgk), 48,444 subscribers as measured 28 October 2026. Telegram Register, tgregister.com/channel/hnwdhlgk.

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.