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Channel

武汉风月录

@sigmamale1998

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

7,248subscribers

+118 since we began measuring on 24 August 2026

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

Register entry

Telegram ID-1002102444175
TypeChannel
Username@sigmamale1998
Description@forbes77777 朋友圈
CreatedBetween 1 November 2023 and 31 May 2024 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded24 August 2026
Last confirmed live6 November 2026
Measurements held19
Confirmed unchanged1 time, most recently 6 November 2026
On Telegramt.me/sigmamale1998

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 12 September 2026 and assigned it the closest of 31 fixed categories, at 86% 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

7,0967,2537,174.524 August 2026 — 7,130 subscribers25 August 2026 — 7,134 subscribers29 August 2026 — 7,142 subscribers31 August 2026 — 7,148 subscribers4 September 2026 — 7,158 subscribers10 September 2026 — 7,149 subscribers13 September 2026 — 7,141 subscribers18 September 2026 — 7,131 subscribers28 September 2026 — 7,096 subscribers6 October 2026 — 7,116 subscribers12 October 2026 — 7,130 subscribers16 October 2026 — 7,126 subscribers19 October 2026 — 7,141 subscribers22 October 2026 — 7,191 subscribers25 October 2026 — 7,244 subscribers27 October 2026 — 7,253 subscribers31 October 2026 — 7,250 subscribers3 November 2026 — 7,246 subscribers6 November 2026 — 7,248 subscribers7,24824 August 20266 November 2026
19 measurements spanning 74 days, net +118. 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 7,072–7,277 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
6 Nov 2026, 15:157,248+2
3 Nov 2026, 05:067,246-4
31 Oct 2026, 00:107,250-3
27 Oct 2026, 22:367,253+9
25 Oct 2026, 00:457,244+53
22 Oct 2026, 09:357,191+50
19 Oct 2026, 12:277,141+15
16 Oct 2026, 05:277,126-4
12 Oct 2026, 20:067,130+14
6 Oct 2026, 01:557,116+20
28 Sept 2026, 11:597,096-35
18 Sept 2026, 14:027,131-10
13 Sept 2026, 22:177,141-8
10 Sept 2026, 01:587,149-9
4 Sept 2026, 15:017,158+10
31 Aug 2026, 23:577,148+6
29 Aug 2026, 06:447,142+8
25 Aug 2026, 21:037,134+4
24 Aug 2026, 22:157,130first reading

Engagement

23 posts held, back to 11 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
41.9%
avg views ÷ 7,248 subscribers
Avg views / post
3,040
3 posts measured
Reaction rate
0.088%
reactions ÷ views · ER floor
Posts in window
3
of 23 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.

What these figures were computed from
WindowRolling 30 days · latest post in window 2 November 2026
Posts held23 (11 July 2026 – 2 November 2026)
Views total9,110
Reactions total8
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken7 Nov 2026, 13:13 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
208
Videos
18
Links
11

Lifetime counters from Telegram’s own channel header, read 7 November 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
25s
Average length
13s

Measured directly from 2 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

156 reactions across 19 posts, in 11 distinct kinds. The most used accounts for 51.9% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
❤8151.9%
👍3522.4%
👎106.41%
🤯85.13%
🤣74.49%
🤔53.21%
🤮53.21%
😢21.28%
👏10.641%
😁10.641%
🤪10.641%

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 22 of the 23 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 156 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 23 most recent posts we hold, published 11 July 2026 to 2 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 3 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).

2 Nov 2026, 07:30 UTC≈1,030 views2 reactionsread 7 November 2026
Photo

Telegram必备的搜索引擎,极搜JISOU帮你精准找到,想要的群组、频道、视频、音乐 👉 t.me/jisou2?start=a_5706934276

❤2

1 Nov 2026, 13:56 UTC≈2,160 views3 reactionsread 7 November 2026
Video

@asbaobaodewo 她终于开窍了😧

❤3

16 Oct 2026, 11:45 UTC≈5,920 views3 reactionsread 7 November 2026
Photo

甜甜:@Tianyian276 小姨子上榜蛮久了,也只是网上聊骚几句,没见过。这些天脚伤了,正好闲下来不上班了。选了个下大雨的天气出门,正好雨天不怎么堵车,比平时正常时间能提前半个小时到,提前到了不用等直接上楼,进门第一句就是姐夫你来看我了。坐沙发上闲扯了一下,交钱脱衣陪浴。洗的时候带点服务的,洗完躺床上,带点a面服务的,不是纯三件套。第一水被秒了,心有不甘改了个pp,中场休息会按摩一下,第二水我站起来了,蹬一身汗,今天主要脚痛,没发挥好。她今天没喝酒,今天准备酒驾一下的。情商高,服务可以。态度好很配合也很耐桩。有点小肚子,年龄目测比课表大个5岁

❤3

8 Oct 2026, 03:14 UTC≈7,090 viewsread 7 November 2026
Photo

赫赫:@pgxjj 6/10 人照一致,耐看型,有点不上相。真人观感会比频道照片好看点。目测160-163 80斤左右 瘦 没胸。屁股还稍微有点 看图 比那个一粒豆多那么一丝吧。课室电梯要刷卡,安全性还凑合。停车场4块一小时还好。会主动陪洗。三件套,做起来反馈强,笑脸和东北腔可能会让人莫名的心情好起来。也有可能她的口音跟似一样,所以会对她第一印象好三分。

1 Oct 2026, 09:43 UTC≈9,700 views8 reactionsread 7 November 2026
Photo

kk:@KK_98y 7/12 目测165-168 95-100斤。36d,脸参考这张图,进门很温柔,说话轻声细语。往她屁股狠狠捏了一把,交水费,坐沙发上闲扯几句,陪洗,全身都洗了一遍。躺床上,她的眼神很勾人,情不自禁的吻上去,她身上好香好软😍。口活可以的,没齿感,胸推。真胸还是比科技舒服。带套塞进去反馈很强,水直流身体直抖。叫声酥酥麻麻的 反正很满足我的虚荣心了,现在没班味,没被扩容,时间也没卡那么紧,还是很值得冲的,国庆应该都在。谭璐璐那个类型的,我愿称她为高配版谭璐璐,还便宜一张。是我这种中老登喜欢的类型

❤8

17 Sept 2026, 04:19 UTC≈9,570 views2 reactionsread 7 November 2026

思雨:@siyudebaohuhao 目测163-165 85-90的样子 34b大概,跟频道差不多,皮肤估计抽烟抽多了,有点黑没我白反正。日感好,反馈强很配合,叫起来很有感觉 技术这个年龄不能要求太多,人蛮有意思的

❤2

6 Sept 2026, 15:23 UTC≈11,600 views1 reactionsread 7 November 2026

娜娜:@nanals520 人照基本一致,口的稀烂,反馈还行。态度还凑合。低配版小邹,还贵一张

❤1

5 Sept 2026, 08:46 UTC≈12,600 views9 reactionsread 7 November 2026
Photo

曼玉:@diaochan550 目测165 85-90斤大概,32b 脸可以的,神似原来我初中暗恋对象,人照一致。皮肤有点黑估计烟抽多了的,身上有符文,在鸡头云集的炮楼最好白天去,现在没什么人应该不会罚站,进去瞟了一眼环境,还好稍微讲点卫生,没有烟头外卖扔的到处都是。有陪洗,主动提。洗完,躺床上,先🐍一下 手撸加口,别指望有服务了,水多多的套子,看她那一本正经的样子,我知道她也尽力了,示意她赶紧戴,123完事后,躺床上闲扯了一下,摸着还算紧致但是不算润的皮肤。现在还没有开了一段时间精神小妹的那种班味。可能因为脸很像的原因,我还是冒着被她背后骂的风险,跟她说了一点注意事项,正常情况我都懒得去说这些,最多聊点八卦赶紧撤 ,硬件可以的,软件要是能跟上,以后还是很有潜力。自己在聊,背后有没有经纪就不知道了。态度还蛮好,笑起来蛮好看。

❤9

18 Aug 2026, 01:11 UTC≈12,500 views2 reactionsread 7 November 2026

https://t.me/wHnMexH 嫩妹协会群18🈲了 新群

👍2

10 Aug 2026, 01:26 UTC≈14,800 views10 reactionsread 7 November 2026
Photo

6/10 自聊的临时约的一个,去的时候看照片还以为嫩嫂,进门发现精神小妹。人照有8分像,大概165,80斤,34b 奶头还有点粉。。脸上粉厚卡粉,蹲床上抽烟在,课室脏死,烟头、吃了的东西到处扔的都是。态度还行,上下双层的浴室也小,没让她陪洗。已经做好纯泻火的准备了,出乎意料口活还可以,后来才知道开了蛮久了。口比一些嫂子都强。口了蛮久,水多多的套,也蛮配合,反馈很强。,我不是很喜欢排骨。喜欢排骨的去日一下也还行

❤10

9 Aug 2026, 06:20 UTC≈12,700 views4 reactionsread 7 November 2026
Photo

小纤:@mumu78787 跟频道基本一样,脸可以的。目测160-163 80多斤 32b大概。态度蛮好,很配合,技术含量和反馈差点,不叫停会一直口,可能因为瘦的原因,日感比亲姐点点稍微差点,开6去打卡个长得还行的嫩妹还是可以的

❤4

Showing the 12 most recent of 23 posts we hold for @sigmamale1998. 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

@sigmamale1998 edited 3 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
3 November 2026
Most recent edit
3 November 2026

Posts recorded as deleted after publishing

We recorded 3 posts on @sigmamale1998 as deleted — posts this register held that were missing from the channel’s public page on two separate reads, taken from different network addresses at least an hour apart.

A deletion is not wrongdoing. This register can see that a post it held is no longer on the channel’s public page, and when — not why. Expired ad placements, reposts, rotating links and corrections all look the same. This is a count of recorded detections, not an exact total: it misses deletions we could not see, because only a post we held and later re-read inside the page can be seen to go, and it may include a small number of wrong records. How this is measured.

First seen missing
3 November 2026
Most recent seen missing
3 November 2026
Median time before seen missing
3 months
Seen missing in the last 30 days
3

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

“武汉风月录” (@sigmamale1998), 7,248 subscribers as measured 6 November 2026. Telegram Register, tgregister.com/channel/sigmamale1998.

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.