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Channel

铲屎官的100次出击之旅

@onehundredtravel

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

52,188subscribers

+15,459 since we began measuring on 6 August 2026

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

Register entry

Telegram ID-1001486876609
TypeChannel
Username@onehundredtravel
Description人生路漫漫,且行其珍惜 @Ihavecats 聊天群: https://t.me/csg100cj 福利频道: https://t.me/MmFulidafangsong
CreatedBetween 1 April 2019 and 30 September 2021 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded6 August 2026
Last confirmed live7 November 2026
Measurements held62
Confirmed unchanged1 time, most recently 7 November 2026
On Telegramt.me/onehundredtravel

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 70% 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

36,56652,18844,3776 August 20267 November 2026
62 measurements spanning 92 days, net +15,459. 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 34,223–54,531 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 62
Measured (UTC)SubscribersChange
7 Nov 2026, 04:3552,188+272
6 Nov 2026, 03:2551,916+212
5 Nov 2026, 04:3651,704+223
4 Nov 2026, 01:3951,481+238
3 Nov 2026, 00:0451,243+550
1 Nov 2026, 22:3650,693+236
31 Oct 2026, 23:4550,457+428
30 Oct 2026, 22:2650,029+487
30 Oct 2026, 00:4049,542+410
29 Oct 2026, 02:4949,132+453
28 Oct 2026, 03:2748,679+512
27 Oct 2026, 02:5948,167+721
26 Oct 2026, 02:1547,446+477
24 Oct 2026, 23:3146,969+428
24 Oct 2026, 02:3946,541+484
23 Oct 2026, 00:2046,057+1,416
21 Oct 2026, 21:5544,641+1,127
20 Oct 2026, 20:0643,514+386
19 Oct 2026, 17:5743,128+333
18 Oct 2026, 18:5642,795first reading

Engagement

150 posts held, back to 30 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 186 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
26.4%
avg views ÷ 52,188 subscribers
Avg views / post
13,800
40 posts measured
Reaction rate
0.142%
reactions ÷ views · ER floor
Posts in window
40
of 150 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 38 of 40 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 7 November 2026
Posts held150 (30 July 2026 – 7 November 2026)
Views total551,580
Reactions total761
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken7 Nov 2026, 10:55 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
988
Videos
193
Links
94

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
8m 48s
Average length
11s

Measured directly from 47 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

1,906 reactions across 145 posts, in 12 distinct kinds. The most used accounts for 83.6% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
❤1,59483.6%
👍1729.02%
👎603.15%
😱190.997%
👏180.944%
🔥160.839%
💯110.577%
🥰70.367%
😁40.21%
💩30.157%
🐳10.052%
🤨10.052%

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 148 of the 150 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 1,906 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 150 most recent posts we hold, published 30 July 2026 to 7 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.

Telegram Stars

Stars received
45
across the posts below
Posts paid on
4
of 150 we hold a reading for · 3%
Most on one post
22
single highest reading

A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @onehundredtravel. Telegram publishes the count on the public post preview alongside ordinary reactions, and this register reads it there. It is the only figure on this site that measures money moving rather than attention.

Stars are not reactions, and the two are never added. They are rendered in the same strip on Telegram and counted in the same shape, but one is a tap and the other is a purchase. The reaction totals and the engagement rate elsewhere on this page exclude every figure in this section, and no rate here is computed against a reaction count.

This is not revenue, and we publish no currency figure. What a Star costs a reader and what it pays a channel are different numbers, Telegram takes a share we cannot observe, and the terms have changed. Converting a Star count into money would be an estimate dressed as a measurement, so the count is where we stop.

Counted over the 150 most recent posts we hold for this entry, published 30 July 2026 to 7 November 2026. Star counts above 1,000 reach us in Telegram’s short form and carry the same three-significant-figure rounding as everything else on this page.

Recent posts

Telegram’s own ‘edited’ marker: 20 of 40 posts held from the last 30 days (50.0%) 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).

7 Nov 2026, 06:33 UTC≈2,080 views6 reactionsread 7 November 2026
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【花名】:#依依 @XiaoBa8123 【位置】:#成都 #上门 【时间】:11月上旬 【价格】:#8p #13pp 【年龄】: 18左右 【模式】:代聊 【类型】:#甜妹 【服务】:三件套+蛇+69 颜值:人照9分,颜值勉强够到开8的门槛,瓜子脸,妆容精致,肤色正常,有少量纹身完全不影响,皮肤状态不错。 身材:160左右,90斤左右,A+罩杯,身材匀称偏瘦,毛量偏少,大阴唇户型,颜色正常。 特殊标签: #甜妹 #紧 #有纹身 出击短评(第267篇): 兄弟们!这是本猫遇到过最紧的妹子!没有之一! 比处女还紧,比ts的菊花还紧,紧得本猫都觉得疼! 紧到本猫连福利视频都没拍完就被秒了😭😭😭白花钱和时间去沟通拍摄了…呜呜呜… 依依的紧致不是在口子上拿骨头夹你,而是整个通道的紧缩感和包裹感非常强!感觉被攥住了一样,甚至都有点抽插不动的感觉… 从沐浴到前戏都很正常,依依的态度啊,情绪价值啊都很好,还主动给本猫散烟…就是正…

❤4👍2

6 Nov 2026, 10:41 UTC≈6,000 views17 reactionsread 7 November 2026
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【花名】:#栗子 @lizi891 【位置】:#成都 #市中心 【时间】:11月上旬 【价格】:#7p #11pp 【年龄】: 24左右 【模式】:代聊 【类型】:#御姐 【服务】:三件套+蛇+69 颜值:人照8.5分,颜值御姐,瓜子脸,脸部微科技,妆容精致,肤色正常,皮肤状态不错。 身材:160左右,90斤左右,科技C但是现在假体位移,身材偏瘦,人工白虎,户型颜色正常。 特殊标签: #御姐 #无纹身 #白虎 出击短评(第266篇): 上一个栗子被工兵整跑了,还好还有一个~ 进门颜值在御姐里确实是不错的,微微能看得出带了一点科技,还是比较自然~ 然而接下来,让本猫第一次见识到了隆胸手术待修复的状态:假体位移!看着确实会有一点影响,不过搭配着情趣内衣就没啥影响了(详见视频!) 从沐浴到前戏,栗子都好会啊!温柔又挑逗!配合度相当高,技术也在线,无论是态度还是情绪价值,都给的很足! 正戏开始,面纱戴上后,本猫一整个爽拍…

❤17

6 Nov 2026, 07:37 UTC≈4,350 views6 reactionsread 6 November 2026
Forwarded from @CDMaoWoPhoto

成都平庸的一名小小狼友——芳心纵火犯👄 走近最真实的老师反馈🥰 让你感受老师最真实的声音💋 争拍狼友最喜欢看的福利视频📱 人间烟火|随性度日 只做自己故事里的主角✨ 福利视频请关注:https://t.me/zhfdfl

❤6

5 Nov 2026, 12:58 UTC≈8,650 views9 reactionsread 7 November 2026
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【花名】:#呆呆 @daidaibby 【位置】:#成都 #武侯区 【时间】:11月上旬 【价格】:#8p #13pp 【年龄】: 22左右 【模式】:代聊 【类型】:#御姐 【服务】:三件套+蛇+69+胸推 颜值:人照8分,御姐类型,妆容精致,圆脸带点婴儿肥,肤色正常偏白,皮肤状态不错。 身材:165左右,100斤左右,C罩杯,身材匀称偏胖一点,有小肚子,臀部丰满,毛量正常,户型颜色正常。 特殊标签: #御姐 #无纹身 #大胸 出击短评(第265篇): 初见呆呆,人如其名,有一种萌萌的可爱感,圆脸御姐一身黑色睡裙,身型丰腴饱满,还算让人有“食欲”~ 从沐浴开始,呆呆就不断调情挑逗,撒娇嬉戏间双乳在本猫身上蹭来蹭去,十分柔软~ 来到床上,感受口技,唔,一般! 但是胸推就很爽了!润滑油抹上后,一对白乳在灯光下被照得发亮,属实享受~ 正戏也是各个姿势都来一遍!呆呆自述最喜欢后入,臀浪翻涌,炮架子一个! 关键字:大胸丰…

❤6👍3

3 Nov 2026, 13:51 UTC≈12,400 views30 reactionsread 7 November 2026
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【花名】:#菜萝莉 @caicai_798 【位置】:#成都 #高新区 【时间】:10月下旬 【价格】:#6p #10pp(报云长-1) 【年龄】: 18左右 【模式】:代聊 【类型】:#萝莉 【服务】:三件套+蛇+69 颜值:人照8.5分,圆脸小萝莉,比较良家,带几分可爱和婴儿肥,肤色正常,皮肤状态尚可。 身材:153左右,小矮矮,90斤,B-罩杯,身材匀称偏胖一点,臀型饱满,毛量正常,户型颜色正常。 特殊标签: #萝莉 #无纹身 出击短评(第264篇): 菜萝莉真的是古灵精怪的类型,性格很好玩,调皮可爱,本猫刚进门她就蒙在被子里不愿意出来,像是要玩捉迷藏,本猫可不管这么多,直接在床上就先给她扒光! 还未洗澡,就玩弄起了菜菜的身体,肉肉的,软软的,rua起来非常得劲儿!小脚本猫估计只有34码左右,只能穿童鞋吧…… 玩得起劲,伸手一探,已经很湿了,随即马上洗澡,准备满足一下菜菜~ 前戏技术尚可,抱头深喉! 正戏反…

❤27👍2💯1

1 Nov 2026, 07:56 UTC≈16,700 views41 reactionsread 7 November 2026
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【花名】:#栗子 (已跑路) 【位置】:#成都 #高新区 【时间】:10月下旬 【价格】:#7p #13pp 【年龄】: 22左右 【模式】:代聊 【类型】:#御姐 【服务】:三件套+蛇+69+可加钱sm 颜值:人照9分,御姐类型,欧美妆容,带一点点欧美哥特风格,没有纹身,小麦色肤色,皮肤状态一般,背上有一些痘痘。 身材:165左右,95斤左右,B-罩杯,身材匀称,臀型饱满丰腴,毛量正常偏少,户型正常颜色偏褐。 特殊标签: #敏感车 #sm #无纹身 出击短评(第263篇): 栗子妹妹刚到成都,本猫有幸首次验车!但是也很遗憾,没想到这个妹妹接受度很高!道具什么的都没准备! 必须安排进下一次的淫趴! 言归正传,栗子初见颜值就有些特别,带点异域风情,感觉是那种会纹身和打舌钉的女孩。 目前也是下水没多久,态度很好,自然温柔,从沐浴开始,就很细心,前戏的技术也还不错,虽不拔尖,但也算是熟练。 然后随着正戏进展,慢慢发现栗…

❤38👍2💩1

1 Nov 2026, 07:02 UTC≈10,300 views7 reactionsread 5 November 2026
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❤7

31 Oct 2026, 15:41 UTC≈13,400 views10 reactions10 Starsread 7 November 2026
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❤10

31 Oct 2026, 15:31 UTC≈9,400 views6 reactionsread 4 November 2026
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❤6

30 Oct 2026, 10:34 UTC≈15,800 views33 reactionsread 7 November 2026
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【花名】:#悠悠 @uouu688 【位置】:#成都 #武侯区 【时间】:10月下旬 【价格】:#8p #14pp(报告-1) 【年龄】: 20左右 【模式】:代聊 【类型】:#御姐 【服务】:三件套+大蟒蛇+水中箫 颜值:人照8.5分,本人比照片好看,御姐类型,妆容精致,五官立体,颜值略科技但非常自然,大腿图案纹身完全不影响,多了几分风情,皮肤状态较好。 身材:165左右,95斤左右,B-罩杯,胸型差了一点,身材匀称多一分则腻,少一分则干,臀型饱满丰腴,毛量多,阴唇小且粉嫩! 特殊标签: #敏感车 #女友感 出击短评(第262篇): 这个妹妹强烈建议早点去! 才下水,毫无风尘气,情绪价值和女友感非常强,要不是本猫道心坚定,怕是早就沦陷了! 沙发上话还没说两句,就被她骑在身下一阵猛蛇,长发散落,鼻息轻轻拍在本猫脸上…下体隔着裤子都能感受到她裙下那一片温润… “我们一会儿就在沙发上做,好不好?” 浴室更是极尽挑逗,水中…

❤32👍1

29 Oct 2026, 11:19 UTC≈16,400 views26 reactionsread 7 November 2026
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【花名】:#甜甜 @tiantian99899 #糯糯 @snuonuoa1 【位置】:#重庆 【时间】:10月下旬 【价格】:1.6k 双飞 【年龄】: 都刚满18 【模式】:混聊 【类型】:#嫩妹 【服务】:互亲+双飞不换套+三件套+69+蛇吻 颜值:甜甜糯糯人照都在8/9分,甜甜如名偏甜妹,齐刘海可可爱爱,肤色偏小麦色。糯糯则是嫩御,皮肤白皙,有一点纹身。皮肤状态都不错。 身材:都160-165左右,80-90斤,甜甜C-细枝硕果,但是有不少花刀!糯糯B,两者身材匀称偏瘦,均为人工白虎,非常粉嫩! 特殊标签: #多人 #白虎 #双飞 出击短评(第261篇): 回锅甜甜! 回顾甜甜单人报告 同时,这是两姐妹第一次双飞,哈哈!让本猫来好好调教一番~ 先是沟通清楚两姐妹的边界,在确认好身体健康情况及额外私生活情况后(都无男友也不接wt),同意开启双飞不换套的模式!太棒了!这才是双飞的意义…

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28 Oct 2026, 11:39 UTC≈16,200 views26 reactionsread 7 November 2026
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【花名】:#梦小乔 @SHUNL7 【位置】:#成都 #高新区 【时间】:10月下旬 【价格】:#8p #12pp 【年龄】: 26左右 【模式】:自聊 【类型】:#御姐 【服务】:三件套+蛇+69+毒龙+事后箫+水中箫+多套衣服可选 颜值:人照8分,本人御姐80%少妇20%,丰腴成熟,颜值略科技但比较自然,抚媚类型,无纹身,皮肤较好。 身材:165左右,95斤左右,C-罩杯,身材匀称,人工半白虎,三角区留一点点毛毛,户型很棒,阴唇小,粉嫩! 特殊标签: #半白虎 #无纹身 #服务车 #小m 出击短评(第260篇): 态度服务是真的没话说! 本猫从进门似乎就来到了一个自动化做爱工厂,从嘘寒问暖到脱鞋脱衣,从洗澡沐浴到擦干身体,这样的主动性确实很爽~ 特别是洗澡时的水中吹箫,每每被温水含住的舒爽感和跪伏在地仰望本猫的征服感,都令人回味~ 前戏,花样百出,颇有几分半套会所的专业技术,无论是深喉的口技还是足交的刺激,都已非…

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Showing the 12 most recent of 150 posts we hold for @onehundredtravel. 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.

Stars beside a post are paid reactions — Telegram Stars, bought with money and spent on that post. They are a different unit from reactions and are never added to them, here or anywhere else on this page.

Posts edited after publishing

@onehundredtravel edited 22 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
14 August 2026
Most recent edit
6 November 2026

Posts recorded as deleted after publishing

We recorded 18 posts on @onehundredtravel 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
7 August 2026
Most recent seen missing
3 November 2026
Median time before seen missing
5 days
Seen missing in the last 30 days
9

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 12 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.

“铲屎官的100次出击之旅” (@onehundredtravel), 52,188 subscribers as measured 7 November 2026. Telegram Register, tgregister.com/channel/onehundredtravel.

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.