url: https://twitter.com/_KAWAYAMI_/status/2083133316417622380 author: 幼愛YUME #_KAWAYAMI_ text: 🍈 https://t.co/TnWI0P9nOF
👍24❤19🥰7🤔2
Signed 塞西莉亚

Channel
@baisi
On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Cite this entry
163,663subscribers
+258 since we began measuring on 6 August 2026
Risers and fallers across the register · movement among entries of 100,000–316,228.
| Telegram ID | -1001088679595 |
|---|---|
| Type | Channel |
| Username | @baisi |
| Description | 本频道会不定时推送一些绅士老爷们喜闻乐见的福利 闲聊&报错&申诉: @nekopara 关联频道: @moepic @nekosc @MagicCabal |
| Created | Between 1 September 2016 and 30 September 2017— estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 6 August 2026 |
| Last confirmed live | 12 August 2026 |
| Measurements held | 8 |
| Confirmed unchanged | 1 time, most recently 12 August 2026 |
| On Telegram | t.me/baisi |
Gaming — a classification, not a measurement. An on-box language model (Qwen3.6-35B-A3B-UD-Q6_K_XL, prompt version 1) read this channel’s own recent posts on 8 August 2026 and assigned it the closest of 31 fixed categories, at 69% 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 why it has no browse page of its own yet.
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 12 Aug 2026, 00:18 | 163,663 | +67 |
| 10 Aug 2026, 22:42 | 163,596 | +36 |
| 10 Aug 2026, 01:31 | 163,560 | +17 |
| 8 Aug 2026, 22:03 | 163,543 | +31 |
| 7 Aug 2026, 20:44 | 163,512 | +29 |
| 6 Aug 2026, 23:08 | 163,483 | +78 |
| 6 Aug 2026, 01:31 | 163,405 | no change |
| 6 Aug 2026, 00:31 | 163,405 | first reading |
12 posts held, back to 19 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 17 pagesof Telegram’s post history, 20 posts per page.
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.
| Window | Rolling 30 days · latest post in window 31 July 2026 |
|---|---|
| Posts held | 12 (19 July 2026 – 31 July 2026) |
| Views total | 290,100 |
| Reactions total | 308 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 12 Aug 2026, 18:05 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.
Lifetime counters from Telegram’s own channel header, read 12 August 2026 — not the date at the top of this page, which is when the subscriber count was last read. A count marked ≈ was rounded by Telegram before we ever saw it — t.me prints these counters in full below 1,000 and to three significant figures above, so ≈142,000 means somewhere between 141,500 and 142,499.
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.
308 reactions across 12 posts, in 8 distinct kinds. The most used accounts for 70.5% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 217 | 70.5% | |
| 👍 | 60 | 19.5% | |
| 🌭 | 14 | 4.55% | |
| 🥰 | 11 | 3.57% | |
| 🔥 | 2 | 0.649% | |
| 🤔 | 2 | 0.649% | |
| 💯 | 1 | 0.325% | |
| 🤗 | 1 | 0.325% |
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 12 of the 12 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 308reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 12 most recent posts we hold, published 19 July 2026 to 31 July 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.
url: https://twitter.com/_KAWAYAMI_/status/2083133316417622380 author: 幼愛YUME #_KAWAYAMI_ text: 🍈 https://t.co/TnWI0P9nOF
👍24❤19🥰7🤔2
Signed 塞西莉亚
url: https://twitter.com/idtNothinglose/status/2080670530546573370 author: reng #idtNothinglose text: 雖然都已經吃了妄想天使聯動KFC,但我還是要發琉音冷飯😤😤 #ゼンゼロ https://t.co/MctBQqE2RS
❤33👍4
Signed 塞西莉亚
url: https://www.bilibili.com/video/BV1Mygi6LE5k author: #蹦蹦团子 text: 德克萨斯做得到吗 本套由粉丝赞助哦 tags: #明日方舟 #德克萨斯 #cos
❤12
人类喜爱丝袜原来是喜爱石油? 丝袜材质硬核解析 磨洋工磨了快两个月差点都快忘了还有这个系列了o( ̄┰ ̄*)ゞ 丝袜D数解析:https://www.bilibili.com/video/BV18adCB1E6t/ 0D丝袜揭秘:https://www.bilibili.com/video/BV1JMomBkErm/ 丝袜针数解析:https://www.bilibili.com/video/BV1kJVw65ETP/ @-蹦蹦团子-
👍27❤6
url: https://twitter.com/pipimoepi0w0/status/2078325597928063175 author: もえぴ🐕 #pipimoepi0w0 text: ペリカ監察官✨ #ArknightsEndfield https://t.co/63kR2rpu6T
❤36🔥2
Signed 塞西莉亚
title: 百合园圣娅 泳装 author: #lunananya desktop_url: https://weibo.com/2212042584/R8m0cg7wn tags: #蔚蓝档案
❤17💯1
Signed 塞西莉亚
url: https://twitter.com/lantern_shark_/status/2071938231365685535 author: 灯笼鲨片 #lantern_shark_ text: #ゼンゼロ #妄想エンジェル #zzzero https://t.co/QBTjKB5ePa
❤17
Signed 塞西莉亚
url: https://twitter.com/0721KaiKinSyou/status/2078004270423560472 author: タイタス十七世 #0721KaiKinSyou text: 「待っていたよ、先生。この格好で、というのは些か気もそぞろだったが。」 #百合園セイア #ブルアカ https://t.co/W0IDxqpJVt
❤13🥰4
Signed 塞西莉亚
url: https://twitter.com/huyaodawo/status/2075119897353543804 author: yu #huyaodawo text: 那个更好看 https://t.co/FvRbtsVU7H
❤19
Signed 塞西莉亚
url: https://twitter.com/susuobaka/status/2078426355423944817 author: Su #susuobaka text: 卡卡的提 https://t.co/YeBD5niTao
❤27🤗1
Signed 塞西莉亚
url: https://twitter.com/y0z0y_02/status/2077979968420860392 author: ゆずゆ 🍊🌃 ※DMでのご予約受け付けてません!※ #y0z0y_02 text: 🐰🍩🍩🍩🍩🍩🍩 https://t.co/Rvqm3s0I3y
❤13
Signed 塞西莉亚
url: https://twitter.com/ran3ran3ran3/status/2030593866324418651 author: 染三 ran3 #ran3ran3ran3 text: lostlife https://t.co/w9zmyOxxXg
🌭14❤5👍5
Signed 塞西莉亚
Showing the 12 most recent of 12 posts we hold for @baisi. 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.
Citation-graph rank — 218,733 of 1,151,006entries in the measured graph. A weighted position computed from the forward and mention edges below — republished posts weigh more than named mentions — and recomputed periodically, over the whole graph. Published only as this ordinal position, never as a score: a position is a fact, and a score printed beside one channel’s name would read as a verdict this register does not make. The two counts beneath stay separate for the same reason mentions are never summed with forwards anywhere else on this page — a named-by count costs nothing to manufacture. The top 100 by this measure, or how it is computed.
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.
Named by 5 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.
Named by
Channels on the register whose posts name this channel's handle.
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.
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 12 August 2026 — this entry's latest reading, not the date you are reading this.
“白丝即正义” (@baisi), 163,663 subscribers as measured 12 August 2026. Telegram Register, tgregister.com/channel/baisi.
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.