本土正妹優質外約 皮膚白皙 美腿氣質 夕月166.7.C+.23歲 ⭐ 櫻桃Gleezy: lg5221 🌐私訊櫻桃TG: @lg5221 🤩 喝茶班表: @tw0315 🤩 學生妹區: @lg52211 🤩高檔茶專區:@ns3315 🤩 TG總預覽:@HK99168 🤩北部喝茶專區:@wx319 🤩中部喝茶專區:@wx3315 🤩北部喝茶專區:@wx304 🤩新竹喝茶專區:@wx97315 ⏰營業時間:下午13:00-04:00 🌐喝茶官網: www.lg5221.com ⭐(Gleezy快捷諮詢窗口APP下載) https://gleezy.net/tw141 #外送茶 #找小姐 #酒店上門服務 #學生妹 #約炮 #大奶巨乳 #御姐 #外約 #按摩舒壓 #高雄外約

Channel
台灣素人學生妹麻豆IG正妹網紅私密外流影片
@lovetw1314
On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Cite this entry
165subscribers
-6 since we began measuring on 8 August 2026
Risers and fallers across the register · movement among entries of Under 1,000.
Register entry
| Telegram ID | -1002566515785 |
|---|---|
| Type | Channel |
| Username | @lovetw1314 |
| Created | Between 1 March 2025 and 31 July 2025 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 8 August 2026 |
| Last confirmed live | 3 October 2026 |
| Measurements held | 8 |
| Confirmed unchanged | 1 time, most recently 3 October 2026 |
| On Telegram | t.me/lovetw1314 |
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 25 September 2026 and assigned it the closest of 31 fixed categories, at 80% 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 |
|---|---|---|
| 3 Oct 2026, 02:38 | 165 | -2 |
| 19 Sept 2026, 01:40 | 167 | -2 |
| 10 Sept 2026, 06:01 | 169 | +2 |
| 1 Sept 2026, 21:14 | 167 | +3 |
| 25 Aug 2026, 02:37 | 164 | -3 |
| 16 Aug 2026, 20:15 | 167 | -4 |
| 8 Aug 2026, 15:00 | 171 | no change |
| 8 Aug 2026, 06:31 | 171 | first reading |
Engagement
6 posts held, back to 17 May 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.
Nothing published in the last 30 days. ERR and ER are rolling 30-day measures, so there is nothing to compute — we hold 6 posts for this entry, the most recent from 23 June 2026. An engagement rate over an empty window would be a number about nothing.
What this channel posts
- Video runtime
- 7m 32s
- Average length
- 1m 53s
Measured directly from 4 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 2 posts, in 2 distinct kinds. The most used accounts for 75.0% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 3 | 75.0% | |
| 👍 | 1 | 25.0% |
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 2 of the 6 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 6 most recent posts we hold, published 17 May 2026 to 23 June 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
小寧 157cm.Ccup.44kg.19歲 #今天第一天下海 粉穴、嫩鮑、水多、緊緻、經驗少、欠調教 📱📱📱小雨聯絡方式📱📱📱 📱資訊:➡️@fb15800 ⭐Gleezy:➡️fb158 📱Line:➡️fba988 💝高檔茶資訊 🐦學生妹18~22歲 💕熟女人妻專區 🌟雙北/新竹專區 🔥台中喝茶專區 🦋高雄/台南專區 🌎營業時間:下午13:00-04:00 #台妹 #全套服務 #人妻 #外送 #空姐 #學生 #大奶 #台中 #高雄 #台北 #新竹
Video, posted without a caption
❤2
#台灣正妹
Video, posted without a caption
❤1👍1
IG 莊敬高職畢業妹 很愛自拍
Showing the 6 most recent of 6 posts we hold for @lovetw1314. 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.
@fb1582 · 1121 post小雨熟女茶資訊
@fb1583 · 2461 post高雄台南三民左營中西區妹妹名單
@fb1584 · 2331 post臺中西屯東區沙鹿豐原烏日妹妹名單
@fb1585 · 1201 post小雨高檔茶資訊
@fb1586 · 1101 post小雨學生茶資訊
@fb1587 · 2131 post🇹🇼老司機喝茶找小姐指南TG總預覽推薦小櫻桃外送茶
@HK99168 · 3841 post🇹🇼台灣ptgf 外約學生妹18~22歲 #高中生 #大學生
@lg52211 · 5461 post台灣優質茶正妹 #麻豆名模 #網美小模 #空姐護理師 #櫃姐御姐 #絲襪OL
@ns3315 · 1401 post台灣正妹外約🔞小櫻桃外送茶🍒
@tw0315 · 1,5951 post高雄/台南/屏東 #外送茶 #叫小姐 #約炮 #酒店外送Gleezy:lg5221
@wx304 · 2391 post台北/新北/桃園 #外送茶 #叫小姐 #約炮 #酒店外送Gleezy:lg5221
@wx319 · 2591 post台中/豐源/沙鹿 #外送茶 #叫小姐 #約炮 #酒店外送Gleezy:lg5221
@wx3315 · 2461 post新竹/竹北/苗栗 #外送茶 #叫小姐 #約炮 #酒店外送
@wx97315 · 1161 post
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.
“台灣素人學生妹麻豆IG正妹網紅私密外流影片” (@lovetw1314), 165 subscribers as measured 3 October 2026. Telegram Register, tgregister.com/channel/lovetw1314.
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.