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Channel

神人计划

@tttccjyplan

On this record: Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Cite this entry

182subscribers

+0 since we began measuring on 3 October 2026

Risers and fallers across the register · movement among entries of Under 1,000.

Register entry

Telegram ID-1004389263917
TypeChannel
Username@tttccjyplan
Descriptionreal real real
CreatedBetween 1 June 2026 and 2 August 2026 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded3 October 2026
Last confirmed live3 October 2026
Measurements held2
On Telegramt.me/tttccjyplan

Growth

1823 Oct 2026, 20:47 — 182 subscribers3 Oct 2026, 21:22 — 182 subscribers3 Oct 2026, 20:473 Oct 2026, 21:22
2 measurements taken within a single day. 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 181–183 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
3 Oct 2026, 21:22182no change
3 Oct 2026, 20:47182first reading

Engagement

12 posts held, back to 2 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 1 page of Telegram’s post history, 20 posts per page.

ERR · 30 days
428.0%
avg views ÷ 182 subscribers
Avg views / post
779
9 posts measured
Reaction rate
0.042%
reactions ÷ views · ER floor
Posts in window
9
of 12 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 2 of 9 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 1 October 2026
Posts held12 (2 August 2026 – 1 October 2026)
Views total7,010
Reactions total1
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken3 Oct 2026, 21:22 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
21
Videos
10
Links
10

Lifetime counters from Telegram’s own channel header, read 3 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
1m 06s
Average length
13s

Measured directly from 5 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

4 reactions across 3 posts, in 2 distinct kinds. The most used accounts for 50.0% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
❤250.0%
👏250.0%

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 4 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 4 reactions 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 2 August 2026 to 1 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

1 Oct 2026, 16:31 UTC458 viewsread 3 October 2026
Photo

素质出击这么久 一直自我定义文明人 啥人也都是碰上了 说话前后自我矛盾 问你的时候不会说今天已经满了?还问我几点上了 那我说几点就能约几点?还是吃的太饱了 本来很小一件事 不会好好说话的 说话这么理直气壮这么理所当然 你要遭 我只能说 丑的和啥一样 要不是半夜找不到老师 我能问你?

18 Sept 2026, 15:35 UTC703 viewsread 3 October 2026
Video

常州 若若 频道: 🤓 脸:8.2分 身材:7分 态度:9分 技术:10分 江苏妹子 有着江南水乡的温婉大气 乍一看属于御姐类型 但实则很甜 很爱笑 (本人就是喜欢爱笑的 装高冷垮个脸的都去死好吗) 24岁 刚刚下海 据说是因为做生意赔钱了 刚刚开课第三天 非常非常爱干净 有洁癖 房间很整洁 看起来很安心 去之前刚被领导骂过 心里很压抑 见到若若后很幽默 还发生个小插曲走错地方了 若若不仅有外貌 还有个有趣的灵魂 心情好了不少 若若这样的性格很旺夫 会给你鼓励 逗你开心 和你开小玩笑 说回正事 若若的口活无敌了 是我目前体验过的最好的口活 说实话想把我口爆挺难的 但我差点被若若口爆了 说不上来的感觉 我还专门看了怎么口的 也没看明白 这也导致了后面活塞运动没两分钟就缴枪了 下面也是非常紧的 可惜若若不接pp 不然真想再来一次 若若比较重视隐私 就不放正脸照和频道了 反正我再去常州肯定会复刷的

18 Sept 2026, 15:16 UTC≈1,800 views1 reactionsread 3 October 2026
Photo

台州 yy 频道:频道 https://t.me/tzyyds68 脸:7分 身材:8分 态度:9分 技术:9分 湖南妹子 22岁 青春无敌啊 很有活力 炮架子身材 160左右 走起路来屁股蛋子都duangduang的那种 但是完全不胖 一进门穿个包臀裙直接给我看硬了 洗完澡直接进入卧室 妹子开始服务 很会口 夸得妹子都不好意思了 戴上套直接女上开始摇摆 挺会的 接下来是重点 极品b 紧到什么程度 一共换了3个姿势 每次拔出来的时候 tt都被被夹掉(拔出来时掉的 无直接接触)最后后入射了jj拔出来也被夹掉了 太紧了还是 水也多导致的 妹子身体柔韧性很好 后入的时候可以把头转过来接吻 当天不知道咋了 体力比平时都要好 猛猛干 和平时怜香惜玉的我不太一样 被妹子激发了兽欲 非常乖的小女孩 再去台州必须狠狠复刷 另外yy还养了一只小奶狗 太可爱了 走的时候和小狗玩了一会 狗也是随主人 看起来乖极了

❤1

13 Sept 2026, 17:11 UTC761 viewsread 3 October 2026
Photo

合肥 小花 频道:https://t.me/xhehfaa 脸:9分 身材:7.5分 态度:7.5分 技术:7分 重庆妹子 很年轻 不到20 长相甜美 声音也好听 去抖音当个小网红绰绰有余的水平 正常黄皮 看别人说小花看人下菜 我确实没感觉到 我也没建模 感觉很配合 主要脸是我喜欢的类型 身材也挺无敌的 腰细奶子挺 技术一般吧 但也不是啥也不会的那种 基本的还是会的 和小花聊了很多 其实小花挺健谈的 人也很善良 只是需要你来打开话题 已复刷 还会再去(纹身较多 介意的不要去)

13 Sept 2026, 16:59 UTC584 views0 reactionsread 3 October 2026
Photo

合肥 董小姐 频道:https://t.me/dongxiao6 脸:7.5分 身材:6分 态度:7分 技术:8分 湖南女孩 23岁 第一天来合肥开课 有幸也是头客 之前在深圳做中圈的人照8分相似 颜值还行 就是身材有点太瘦了 本人不是特别喜欢太瘦的 但是颜值确实还可以 个子高 应该有170 来都来了 就试试 没想到虽然瘦下边还是挺紧的 女上挺会摇 但是体力一般 一会就累了 换我后入 然后传教士123出货 小腹部有纹身 肤色较白 很会口 技术可以

9 Sept 2026, 12:40 UTC927 viewsread 3 October 2026
Photo

合肥 多多 频道:https://t.me/ddnncc77 脸:7分 身材:7分 态度:8分 技术:8分 安徽妹子 社会化程度较高 可以看得出不是精神小妹 是上过学的 有气质 没有土味 态度非常好 不吵不闹 静静的 笑起来比较甜 哥哥哥哥的叫 bbw身材 超大奶 但是不下垂 奶头不黑 肉都长到奶子上了 身上一点也不胖 皮肤白 人工白虎 爱干净 会非常认真的帮你洗jj 据说之前在上海开过 然后中间没开了 最近才出来开课 吊感不错 下面比较紧 一会就缴枪了 配合度也高 不过分的姿势都可以 值得复刷 唯一要改进的是进小区的指引图要优化一样 模糊标注不清晰 害得我在小区散步了一大圈

9 Sept 2026, 12:30 UTC877 viewsread 3 October 2026
Photo

合肥花房 小蜜蜂 频道:https://t.me/hfjoehf 脸:8分 身材:7分 态度:7分 技术:5分 河南妹子 刚刚20岁还是18岁忘了 之前在餐饮店上班 确实刚上班 技术有点拉了 不太会口 有齿感 舔蛋也不太会呢 但是也能理解 主打一个嫩妹 人照9分像 甜甜的 说话声音小小的 160cm 很瘦 还没被开发好 有点害怕 jj还没放进去刚在洞口 就开始戴上痛苦面具了 放进去以后开始鬼哭狼嚎 不像是装的 反馈太真实了 都不敢太用力了 都是轻轻的来回抽插 水也超多 感觉很好 另外一线天小嫩逼很好看 粉粉的 虽然有点怕疼 但总体态度还是很好的 物有所值

3 Sept 2026, 07:33 UTC814 views2 reactionsread 3 October 2026
Photo

脸:9 分 身材:9 分 态度:9 分 技术:5 分 出差合肥 闲来无事做个 92 去 结果不小心遇到个顶级嫩妹 花园大道 18 号 还不到 20 岁 头一次做 92 遇到这种等级的 很有气质 没有精神小妹的感觉 像江南水乡的姑娘 温婉大气 皮肤白嫩顺滑 小蛮腰但是拥有两个 c 杯大奶 挺拔不下垂 屁屁也是超大 小妹妹粉的令人心疼 都舍不得摸 差点没忍住想舔来着 刚下还不久 之前做纯绿的 所以没啥技术 对技术要求高的就不用去了 下次来合肥出差我还会去狠狠复刷的😍

👏2

7 Aug 2026, 09:14 UTC≈1,020 viewsread 3 October 2026

出差长沙 发现长沙的老师们很有意思 很多不带舌吻 同时很多不上门 频道里也没有评价报告 说都在群里 无奈找了个中圈上门 信誓旦旦和我说人照一致 结果来了之后和我说 大哥长沙中圈就没有人照一致的 。。。后续尽量不去长沙出差了 不过长沙老师价格真便宜白菜价。。。😅

2 Aug 2026, 17:26 UTC≈1,320 views1 reactionsread 3 October 2026
Photo

上海静安 思彤 频道:https://t.me/mumu09654 脸:8分 身材:7分 态度:9分 技术:5分 半夜出击 老师从饭局紧急回到课室 一起进的小区 很有女友感 和图片8分相似 就是没有那么的白 瑕不掩瑜 性格超级好 会直勾勾的盯着你 我都害羞了 抽烟所以声音有点粗和长相反差十足 据说还在上大一开学大二 重点夸一下逼很美 一条肉缝超级紧水超级多 一线天来形容应该不为过 不过我没有舔 虽然很想 技术比较生疏 还需学习 不过这么嫩还要啥自行车呢 而且态度很好 让干啥就干啥 舌吻管饱 值得复刷😍

❤1

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

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

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

“神人计划” (@tttccjyplan), 182 subscribers as measured 3 October 2026. Telegram Register, tgregister.com/channel/tttccjyplan.

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.