#学生 #反差 #足控 #脸足同框 碎花挂脖裙穿好了,头发也卷过,大镜子前站得端端正正——偏偏脚还是光的,踩在凉地砖上。回头往床上一躺,蓝白粗条纹上两片脚心贴到一处:脚跟并着、趾头朝两边叉开,中间那条缝一点都不藏,脚背的筋绷得清清楚楚。裙子只是外面那层壳,鞋早就脱了

Channel
脚脸同框|套路素人|足控反差
@jinan2023
On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Cite this entry
24,013subscribers
+9,165 since we began measuring on 7 August 2026
Risers and fallers across the register · movement among entries of 10,000–31,623.
Register entry
| Telegram ID | -1001637978097 |
|---|---|
| Type | Channel |
| Username | @jinan2023 |
| Created | Between 1 December 2021 and 30 April 2023 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 7 August 2026 |
| Last confirmed live | 24 October 2026 |
| Measurements held | 47 |
| Confirmed unchanged | 1 time, most recently 24 October 2026 |
| On Telegram | t.me/jinan2023 |
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 10 September 2026 and assigned it the closest of 31 fixed categories, at 90% 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.
Growth
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 24 Oct 2026, 07:10 | 24,013 | +164 |
| 23 Oct 2026, 04:07 | 23,849 | +176 |
| 22 Oct 2026, 02:56 | 23,673 | +194 |
| 20 Oct 2026, 20:29 | 23,479 | +165 |
| 19 Oct 2026, 21:31 | 23,314 | +145 |
| 18 Oct 2026, 20:19 | 23,169 | +131 |
| 17 Oct 2026, 19:40 | 23,038 | +117 |
| 16 Oct 2026, 17:37 | 22,921 | +105 |
| 15 Oct 2026, 18:10 | 22,816 | +118 |
| 14 Oct 2026, 19:30 | 22,698 | +209 |
| 13 Oct 2026, 07:56 | 22,489 | +630 |
| 9 Oct 2026, 04:41 | 21,859 | +637 |
| 4 Oct 2026, 16:14 | 21,222 | +1,071 |
| 26 Sept 2026, 11:36 | 20,151 | +1,063 |
| 17 Sept 2026, 15:01 | 19,088 | +314 |
| 15 Sept 2026, 13:41 | 18,774 | +153 |
| 13 Sept 2026, 22:36 | 18,621 | +220 |
| 12 Sept 2026, 07:17 | 18,401 | +222 |
| 10 Sept 2026, 03:18 | 18,179 | +363 |
| 6 Sept 2026, 20:39 | 17,816 | first reading |
Engagement
132 posts held, back to 6 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 58 pages of Telegram’s post history, 20 posts per page.
- ERR · 30 days
- 2.54%
- avg views ÷ 24,013 subscribers
- Avg views / post
- 610
- 31 posts measured
- Reaction rate
- 0.604%
- reactions ÷ views · ER floor
- Posts in window
- 31
- of 132 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 13 of 31 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 14 October 2026 |
|---|---|
| Posts held | 132 (6 August 2026 – 14 October 2026) |
| Views total | 18,912 |
| Reactions total | 82 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 14 Oct 2026, 13:49 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
- Video runtime
- 51m 35s
- Average length
- 31s
Measured directly from 100 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
161 reactions across 60 posts, in 3 distinct kinds. The most used accounts for 85.1% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 137 | 85.1% | |
| 👍 | 21 | 13.0% | |
| 🔥 | 3 | 1.86% |
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 65 of the 132 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 161 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 132 most recent posts we hold, published 6 August 2026 to 14 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
#学生 #反差 #玉足 #萝莉 白墙前侧脸,手抬起来往头发里插,白针织上衣滑到肩头,看着谁家规规矩矩的姑娘。一转眼人就回床上了,白床单压出几道深影,两片脚底慢慢摊开——先给脚背,趾甲修得整齐、筋一道一道浮着;再翻过来,脚心那几层纹路整个铺满,脚跟那块软肉和脚踝上那道浅浅的压痕都留着
❤1
#学生 #玉足 #足控 #反差 黄格子床单一压,她把两只脚心贴到一处,跟合掌似的对着你——脚跟并着、脚趾朝两边叉开,中间那条缝不藏。柠檬和橙子印在身下,可爱得过分,脚却摊得一点不客气
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_5971124151
#学生 #反差 #足控 早上九点十六,蓝白条纹睡衣、一双干净白棉袜,手托着下巴坐椅子上拍镜子,看着跟宿舍里最规矩的那一个。八分钟后九点二十四,白袜已经塞进黑拖鞋,只抬手比了个V。同一个人、同一双袜子,一白天穿着它上课、压马路、挤食堂,夜里回铺上才从鞋里拔出来——那点闷了一整天的温的还在。
#学生 #新疆 #玉足 #足控 江边那晚她还端着——黑衬衫、阔腿裤,一只手搭在栏杆上,身后整条江的灯都给她当背景板。谁能想到回家鞋一蹬,往蓝格子床单一躺,两片脚心就怼满整屏。没袜子、没遮掩,光脚直接摊到你眼前,纹路、脚跟那块软肉、五颗微微张开的脚趾全数交出来。
#女销售 #玉足 #足控 #反差 镜子先替她挡了一层:上午十点那两张,人坐得端端正正,黑T恤、螺纹白袜、膝盖并着,脸还半掩在手机后头,看着跟谁家正经女儿没两样。等白袜一褪挂到椅子边,一只脚心就直接怼到镜头前,纹路一道压一道,脚跟那块软肉全摊开。镜子会骗人,脚底骗不了
#少妇 #足控 #反差 床单一色黑白花斑,她那五点黑甲油按在上头,像是专门配的色。头两张先给你脚背:脚趾排开、踝骨薄、皮肤白得没干过粗活的样子。后两张才掀底牌——两片脚心整个怼满屏,纹路、脚跟的软肉、走了一天压出来的浅褶全看得清。
#足控 #玉足 #学妹 牛仔裤还挂在膝弯上,人已经躺平了。灰白条纹床单一压,两只脚心先怼到镜头前——脚跟厚实、脚背那道筋绷着,脚趾微微翘着等你。她就那么躺着看镜头,长发散在枕头上,一个字不说。上面裤子还没扒干净,下面鞋早脱了:这顺序本身就是答案。
#少女 #反差 #足控 #学生 白鞋闷了一整晚,牛仔裤脚还堆在鞋面上,走了一天攒的热全裹在里头。回屋鞋一蹬,腿往上一架,脚心就朝你摊开了。汗气没散,脚趾一颗颗圆着,趾缝里那点温乎乎的正好。别擦,先凑上去闻——她后面还带着在外头的那副冷淡,齐刘海垂着,眼神跟你说"随你"。
#反差 #大学生 #足控 #自拍 极品大学生小萌先给自己拍一张:黑衣服、脸藏在手机后面,只有脚上那双条纹白袜露在外头。到家才动真格——袜子一扒,两条腿往床上一摊,脚趾一颗颗白得发亮。最后那张最狠,脚底整个怼到镜头前,人还在后面瞅着你笑。这意思不用翻译:随便看
#眼镜婊 #反差 #学生 圆框眼镜压着鼻梁,粉色毛绒睡衣裹到脖子,两手在耳边比耶,笑得一点防备都没有。镜头再往下挪——刚泡过热水的一双脚心整个怼上来,脚底泡出一道道褶,脚跟还红着。这姿势不用你猜,她自己就把最软的地方递过来了。舌头一贴上去,脚趾比嘴诚实。
Showing the 12 most recent of 132 posts we hold for @jinan2023. 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
Republishes
Channels on the register whose posts this channel has forwarded.
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 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 24 October 2026 — this entry's latest reading, not the date you are reading this.
“脚脸同框|套路素人|足控反差” (@jinan2023), 24,013 subscribers as measured 24 October 2026. Telegram Register, tgregister.com/channel/jinan2023.
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.