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Channel

往事回忆录(重生版)

@wushi98

On this record: Growth · Engagement · Reactions · Posts · Citations · Handles named that no longer answer · Cite this entry

3,642subscribers

+197 since we began measuring on 10 August 2026

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

Register entry

Telegram ID-1003615014204
TypeChannel
Username@wushi98
CreatedBetween 1 December 2025 and 31 May 2026— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded10 August 2026
Last confirmed live17 August 2026
Measurements held4
Confirmed unchanged1 time, most recently 17 August 2026
On Telegramt.me/wushi98

Growth

3,4453,6423,543.510 August 2026 — 3,445 subscribers10 August 2026 — 3,509 subscribers14 August 2026 — 3,613 subscribers17 August 2026 — 3,642 subscribers10 August 202617 August 2026
4 measurements spanning 7 days, net +197. 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 3,415–3,672 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
17 Aug 2026, 16:073,642+29
14 Aug 2026, 15:283,613+104
10 Aug 2026, 19:513,509+64
10 Aug 2026, 05:453,445first reading

Engagement

13 posts held, back to 20 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 pageof Telegram’s post history, 20 posts per page.

ERR · 30 days
94.5%
avg views ÷ 3,642 subscribers
Avg views / post
3,440
3 posts measured
Reaction rate
0.116%
reactions ÷ views · ER floor
Posts in window
3
of 13 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 5 August 2026
Posts held13 (20 June 20265 August 2026)
Views total10,330
Reactions total12
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken10 Aug 2026, 05:45 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.

Reaction mix

76 reactions across 11 posts, in 4 distinct kinds. The most used accounts for 80.3% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
6180.3%
💩1317.1%
👍11.32%
👏11.32%

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 13 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 76reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 13 most recent posts we hold, published 20 June 2026 to 5 August 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

5 Aug 2026, 09:58 UTC≈3,200 views1 reactionsread 10 August 2026
Photo

今日厦门入室抢劫老师事件,还持刀捅人,也是奇葩这种一抓一个准 有癌症也是无敌之人了

1

27 Jul 2026, 13:22 UTC≈4,440 views11 reactionsread 10 August 2026
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小小的名字,我早就在许多人嘴里听过 满姐的名号早已传开 基本谁提起来都带点满意 想约她打场友谊赛挺久了 可惜每次想约的时候都对不上时间 这次终于刚好我们都空约上了头课 到了小小说的位置,推门进去 小小真是“小小”的一只 大概一米六不到黄头发脸和照片有八九成像 先交完水费我们便开始褪去衣物 她细心的给我拿了拖鞋 灯光底下她白得像瓷 胸口那一对玉兔粉粉的嫩嫩的 像春天刚冒头的桃 一起进浴室,水声哗哗的 小小的手在我的身上慢慢游走很仔细 洗完我擦干身子先躺到了床上 小小随后过来拿起漱口水我也跟着要了一个 漱完口她便趴到我身上直接吻了下来 小小的舌头很具有侵略性在我嘴里钻来钻去 只是漱过口了,但还是能感觉到她嘴里的烟味 不过还好还可以接受 我们深深吻了几分钟你来我往 随后她顺着往下舔 胸口、肚子,一路到下面 含住,舌尖绕了两圈 忽然往深处顶,喉咙抵上来 酥麻感从底下漫上来 小小口活确实好可惜只体验了两分钟 小小骑上来缓缓往下坐,

11

18 Jul 2026, 16:20 UTC≈5,870 views10 reactionsread 10 August 2026
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前段时间就听群友说过小皮了 又从6张降到了5张还能拍视频 照片我又挺喜欢这我必须去探一下了 本来时间定好了,结果表哥迟到了淦! 多等了有20分钟了 还闹了个乌龙我走错小区了 隔了一条街有个名字差不多的小区 白耽误了七八分钟 总算找对地方上了楼她开门还挺热络的 问我热不热,从冰箱里拿了瓶水给我 (本来我都觉得这趟肯定打个高分了……) 我打量了一下,跟照片有七分像不算雷 看着二十五左右,真人比照片上瘦一些 她让我先去洗澡,自己在外头收拾 等我洗完上楼,她才进去洗 我就在房间里等着,翻了两下手机 上来后也没多寒暄,直接就贴近了 依旧是舔胸起手之后开始口 角度换了好几种从上到下,从侧到正 口的技术挺花的节奏把握得很熟练 不过也才两三分钟她就主动帮我带上了套子 后面一段持续了二十多分钟 期间她配合得还算主动 但🐍的话不是很主动你要她也会吐舌头出来 但也给你🐍不久就闭嘴算了 到后面我体力跟不上了感到累了 小皮又提醒我时间快到了后面她

10

9 Jul 2026, 04:25 UTC≈9,360 views17 reactionsread 10 August 2026
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最初,我对玉玉的印象并不算好 她是比奇堡里那群“狗推”的常客 我听她的传言是总爱放人鸽子还都是荒诞的失约理由 身边又围着一群打窝般的舔狗 后来深聊才知,那些理由只不过是她搞抽象的伪装 我以为她只活在线上抽象里,没想到线下更甚 甚至还想要我喊她“妈妈” 我自然不乐意我又不是抖M 不过应该很对表哥扛不住她的攻势吧哈哈 玉玉本人微胖,与视频照片里的样子有七分相似 放在人堆里算得上耐看 一见面,她便毫不生分地往我身边蹭 手不老实地探向我的小腹下方弄得我一时招架不住 浴室里,水汽氤氲,她褪去所有遮掩 梨形身材,微丰的腰胯,在昏光下显出柔润的轮廓 我自己挺偏爱这种身材的 她替我洗得认真,指尖划过皮肤时我却早已心猿意马 身体诚实地起了反应 一到床上,她反倒成了主导 推倒我,俯身凝视,随即吻下来 舌钉在唇齿间搅动,深而绵长 我不记得那吻持续了多久,只记得是她先松 开 又沿着我的脖颈一路向下 当她温热的口腔包裹住我,带着舌钉独特的触 感

17

6 Jul 2026, 04:47 UTC≈6,510 views13 reactionsread 10 August 2026
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最开始,我以为“呜呜”只是代聊的影子 隔着屏幕听不见心跳 后来她直接弹来一条语音 小孩姐的辣条音脆生生的 跟照片里那个的模样 我怎么也对不上号一股反差感 我对她更是期待了 前两天扭伤了脚 一瘸一拐地但还是想去见她 门开了,没看见人 她躲在门背后,小小的一只 灯光落下来,我恍了一下 ——真好看 和照片里一样,甚至更鲜活 穿着JK制服,像从漫画里走出来的小兔子 而我,像一只笨拙的大灰狼 简单聊了几句然后一起去洗漱 她帮我洗得很认真 看着她赤裸的样子二弟微微一硬表示尊敬 上了床,她害羞不敢看我 我们对视一眼,都笑了 气氛一下就轻松了 还是我先来吧 吻上去的时候,她的舌尖软得像一小块化开的糖 那会儿我已经有点绷不住了 当我躺下来的时候,她低头慢慢靠近 从上到下年纪不大,但意外地会照顾人 节奏拿捏得很好,温热的小舌在来回搅动 等她坐上来时,一阵温热裹住了我 可惜动了几下就有些生涩 她不太擅长这个姿势了 换我来,速度快了些 没到十

13

5 Jul 2026, 13:33 UTC≈5,260 views2 reactionsread 10 August 2026
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戒色一个星期了,还保持着处男之身今天真的破不了处了吗😭

2

4 Jul 2026, 02:12 UTC≈5,760 views1 reactionsread 10 August 2026
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孩子们 想要我的宝藏吗 去寻找吧🆒🆒🆒 寻芳录目前有4个我都发到对应的评论区里面了 忽略我的喘息声每次都是搞了一会才开始拍🐱🐱🐱 不过比奇堡里面的应该知道是哪几个了 福州能拍视频的老师太少了 想分享的表哥也可以联系我代发

👍1

2 Jul 2026, 05:34 UTC≈12,000 views3 reactionsread 10 August 2026

https://t.me/+b6r7roQhxBczZGY1 妈的比奇堡福州4.0了,又被炸了淦! 我说你一直炸群有什么用?靠的是口碑你自己干好别人会不去你那吗煞笔,靠这种你就能好吗,我又不拿群赚钱

3

1 Jul 2026, 11:49 UTC≈6,150 views3 reactionsread 10 August 2026

打飞机我只去云鼎汇,享受嫩妹极致的服务,爽就完事了。https://t.me/fuzhouydhspa

2👏1

Showing the 12 most recent of 13 posts we hold for @wushi98. 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

Citation-graph rank — 454,404 of 1,548,671entries 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.

Mentions

Named by 2 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.

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 17 August 2026 — this entry's latest reading, not the date you are reading this.

“往事回忆录(重生版)” (@wushi98), 3,642 subscribers as measured 17 August 2026. Telegram Register, tgregister.com/channel/wushi98.

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.