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Telegram profile photo for J

Channel

J

@JerezaChoice

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

332subscribers

+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-1002754980104
TypeChannel
Username@JerezaChoice
CreatedBetween 1 June 2025 and 30 September 2025— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded8 August 2026
Last confirmed live16 August 2026
Measurements held3
Confirmed unchanged1 time, most recently 16 August 2026
On Telegramt.me/JerezaChoice

Growth

3263323298 August 2026 — 326 subscribers9 August 2026 — 326 subscribers16 August 2026 — 332 subscribers8 August 202616 August 2026
3 measurements spanning 8 days, net +6. 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 325–333 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
16 Aug 2026, 03:59332+6
9 Aug 2026, 06:41326no change
8 Aug 2026, 07:19326first reading

Engagement

15 posts held, back to 31 December 2025the 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
228.3%
avg views ÷ 332 subscribers
Avg views / post
758
3 posts measured
Reaction rate
this channel exposes no reaction counts
Posts in window
3
of 15 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 3 August 2026
Posts held15 (31 December 20253 August 2026)
Views total2,274
Reactions total
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken8 Aug 2026, 07:19 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

18 reactions across 7 posts, in 2 distinct kinds. The most used accounts for 61.1% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
1161.1%
👍738.9%

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 7 of the 15 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 18reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 15 most recent posts we hold, published 31 December 2025 to 3 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

28 Jul 2026, 15:59 UTC≈1,840 viewsread 8 August 2026
Photo

Kiki @wx081179 御姐款的妹妹,喜欢御姐的可冲,混血颜大车,硕大的f胸,有臀有马甲线。进门还没看清啥样就被大蟒蛇糊上了嘴,把御姐的热情展示的一览无遗。聊天我一i人也接得住话,虽然略有商业吧,咱认识就几分钟也不指望聊什么深度不是… 课程方面很卖力,陪浴很仔细,有水中萧,口很深,很久,有互动,让我有了一丝要缴枪的感觉。教学互动也很配合,不催不赶的,女上很有劲儿。 另外课室有两只很可爱的小奶猫。 返回索引楼点这里

27 Jul 2026, 04:32 UTC278 viewsread 8 August 2026

小七 @xiaoqibba 临时起意找的一个浦东的妹妹,位置很方便,川渝妹子,态度很好,口很卖力。整体感觉上差点意思。 返回索引楼点这里

29 Apr 2026, 02:46 UTC751 views1 reactionsread 8 August 2026
Photo

奈奈子 @meinaizii1 一个有点玩票性质的妹子,小只的北方妹子。自述游戏打没钱了,就来上海上两天班,只能随缘约课。 19岁,甜,嫩,服务就差一点,纯属靠天赋吃饭。服务不主动,但很配合,会给人一种比较小鸟依人的感觉,体验倒也不差。 教室在韩国街那边,挺好找,loft上层层高稍微差点,整体中规中矩吧。(有DL) 返回索引楼点这里

👍1

27 Jan 2026, 16:04 UTC≈1,310 views2 reactionsread 8 August 2026
Photo

癫 @xiaoyingtao88 上海太冷啦,我想去趟昆明 于是5:30,再次见到了那个魂牵梦绕的身影,那个永远猜不到下一秒的, 那个不带一点点规划又执行力爆表的,那个在一起一秒都是幸福的灵儿。 牵着手,晒着温暖的阳光,慵懒的漫步在这个陌生城市的街头,有没有目的地,要不要做什么,仿佛也不那么重要。 20℃的天,脱下的,除了大衣,还有防备和客套。“你看这个猫猫”“那个盒饭肯定好吃”“那个老奶奶看着好慈祥”“跟着我吃准没错”,或许是离开了上海的关系,打开的话匣子根本关不上。 蹲在街边扒拉着那不知名的盒饭;搭话老奶奶被奶奶催婚的窘迫;老街里看着各式衣服上身百变的形象;这些记忆好像从一开始就是此行的目的。 夜深,人静,返沪,同眠。 返回索引楼点这里

2

10 Jan 2026, 16:31 UTC≈1,400 views1 reactionsread 8 August 2026
Photo

夜,夜 @xiaoyingtao88 已经记不清和灵儿度过了多少个夜晚,每次都希望时间就停留在彼时彼刻,没有枷锁,没有喧嚣,只有彼此,也只需要彼此。 还记得第一次夜,她就大大方方的当面卸了妆;再往后,卸了心防。 “和你在一起,我不舍得睡。”她如是说,接着,天空已露鱼肚白。 那一夜,看完电影,拉着手,我说我们私奔 那一夜,下完雨,看到蛞蝓,吓得你跳到我身上 那一夜,说好喝鸡汤,却被炸串拦下了脚步,蹲在路边 那一夜,山里爆胎等救援,你安然入睡,明暗之间,好美 那一夜,你靠着我的肩膀,直到睡着,牵着的手从未放开 返回索引楼点这里

1

Showing the 12 most recent of 15 posts we hold for @JerezaChoice. 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 — 272,872 of 1,549,376entries 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.

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

“J” (@JerezaChoice), 332 subscribers as measured 16 August 2026. Telegram Register, tgregister.com/channel/JerezaChoice.

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.