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Telegram profile photo for Emotional cupcake🧁

Channel

Emotional cupcake🧁

@emotional_cupcake

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

49subscribers

+43 since we began measuring on 14 August 2026

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

Register entry

Telegram ID-1003102354493
TypeChannel
Username@emotional_cupcake
CreatedBetween 1 September 2025 and 30 November 2025 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded14 August 2026
Last confirmed live6 October 2026
Measurements held5
On Telegramt.me/emotional_cupcake

Topic

Personal blog — 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 6 October 2026 and assigned it the closest of 31 fixed categories, at 75% 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.

Previous handles

@emotional_cupcake was previously reachable at this handle, before switching to its current one. This says nothing about who or what answers at the old handle today — only that this channel no longer does.

@circle_of_witches
held 14 August 2026 – 14 August 2026

Growth

64927.514 August 2026 — 6 subscribers14 August 2026 — 6 subscribers22 August 2026 — 13 subscribers6 October 2026 — 49 subscribers6 October 2026 — 49 subscribers14 August 20266 October 2026
5 measurements spanning 53 days, net +43. 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”.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
6 Oct 2026, 12:2249no change
6 Oct 2026, 11:4749+36
22 Aug 2026, 14:0813+7
14 Aug 2026, 13:186no change
14 Aug 2026, 00:326first reading

Engagement

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

ERR · 30 days
132.7%
avg views ÷ 49 subscribers
Avg views / post
65.0
18 posts measured
Reaction rate
0.967%
reactions ÷ views · ER floor
Posts in window
18
of 35 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 5 of 18 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 6 October 2026
Posts held35 (12 August 2026 – 6 October 2026)
Views total1,170
Reactions total7
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken6 Oct 2026, 12:22 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
356
Videos
61
Links
58

Lifetime counters from Telegram’s own channel header, read 6 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.

Reaction mix

7 reactions across 5 posts, in 1 kind.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
❤7100.0%

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 5 of the 35 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 7 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 35 most recent posts we hold, published 12 August 2026 to 6 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

6 Oct 2026, 09:30 UTC8 viewsread 6 October 2026

حالم بد شده رفتم دانشگاه که گواهی از خودش دانشگاه بگیرم بدم به اساتید که غیبتم موجه بشه✨ همکلاسیِ فلان فلان شده ی فلان فلانطورم برگشته میگه : خوب جیم میزنی کلاسا رو من در حالی که سَرَم گیجه و دو تا آمپول و یه سِرُم زدم و سه تا قرص گرفتم که شب باید بخورم: 😐

3 Oct 2026, 16:42 UTC17 viewsread 6 October 2026

حتی فکر کردن به اینکه باید فردا هزار تا گواهی پزشکی بکنم توی چشم اساتید باعث میشه سردردم بدتر بشه خدایا کی این دانشگاه لعنتی تموم میشه؟

3 Oct 2026, 16:39 UTC17 views2 reactionsread 6 October 2026

بچه ها شرمنده درگیر دکتر شدم نرسیدم جوابا سه نفر اول رو بزارم تعداد فوروارد هم یکم بیشتر شد دیگه جواب همه رو تا سه شنبه شب میزارم

❤2

1 Oct 2026, 18:26 UTC32 viewsread 6 October 2026

جواب سه نفرتون به نظرم آماده هست احتمالا تا فردا بفرستم

1 Oct 2026, 18:24 UTC34 viewsread 6 October 2026

احساس میکنم لیمیت بالایی زدم😂 ، کلا تا الان پنج نفر فوروارد کردن🥹❤️

1 Oct 2026, 14:05 UTC94 viewsread 6 October 2026

وای شخصیت مکمل زن خیلیییییییی قدرت خوبی داشت ❌خطر اسپویل برای کسایی که می‌خوان ببینن❌ قدرتش چی بود : ملکه ی بدبختی و بیچارگی بود😔✨ و یکی از قوی ترینننن شخصیت ها بود خودش بدبخت نمیشدااااا همه ی کسایی که اطرافش بودن یا کسایی که بانو اراده میکرد بدبخت و بیچاره میشدن ، یا ورشکست میشدن یا می‌مردن یا مریض میشدن یا درد میکشیدن یا وسایلشون میشکست🤣 با هر صحنه ای که از قدرتش استفاده میکرد من اینجوری بودم که : عهههه برفییییی🤣

1 Oct 2026, 13:58 UTC24 viewsread 6 October 2026
Forwarded from @foreverwinter_sqPhoto

این پیام رو فوروارد کنید و من بهتون می‌گم اگه توی دنیای وینکس بودین: ✦ چه موجودی می‌شدین ✦ قدرتتون چی بود ✦ مقامتون (پرنسس، دانش‌آموز، معلم و…) ✦ اسم تبدیل شدنتون (مثلاً Corruptix) ✦ عکس OC از پینترست بهتون می‌دم حتما mbti رو بگید •~ You don’t need to join ~•

1 Oct 2026, 13:30 UTC40 viewsread 6 October 2026

🍊 : اگر میخواید چالش هاتون پروموت شه چنل زیر رو چک کنید @Challengetimee0_0 ⋆

1 Oct 2026, 13:25 UTC632 views2 reactionsread 6 October 2026
Photo

୨୧ ─── ⋆。°✩°。⋆ ─── ୨୧ 𐙚 ‧₊˚ ⋅ 𝑨𝒏𝒊𝒎𝒆 𝑴𝒂𝒊𝒏 𝑪𝒉𝒂𝒓𝒂𝒄𝒕𝒆𝒓 ⋅ ˚₊‧ 𐙚 ₊˚⊹♡ سلام به همه ی کیوتچه ها!! ♡⊹˚₊ یه چالش کیوت و وایب‌محور داریمممم! ദ്ദി(˶˃ ᵕ ˂˶)♡ این پست رو فوروارد کنین به چنل‌ های قشنگ و کیوتتون و بعدش جنسیتتون رو بگید تا من بر اساس وایب هرکدومتون بگم اگه مین‌ کرکتر یه انیمه بودین، شخصیت اصلی کدوم انیمه می‌ شدینദ്ദി(。•‌ᴗ-)✧ 𐙚 فقط لطفا توجه داشته باشید که ممکنه جواب‌ ها به‌ خاطر تعداد شرکت‌ کننده‌ ها با تأخیر گذ…

❤2

1 Oct 2026, 04:54 UTC37 viewsread 6 October 2026

دانشگاه خوبه ها ولی وقتی میری اختلاف طبقاتی بیداد می‌کنه یکی گوشیش شکسته کل این چهار سال رو با همون گوشی داره سر می‌کنه چون پول نداره گوشی جدید بگیره ، نهار و شام هرچیزی سلف بهش بده میخوره چون نه وقت آشپزی داره نه توانایی هزینه کردن برای خرید همه ی مواد اولیه ، از لباسای ترم یکش هم مثل جون خودش مراقبت می‌کنه چون باید تا آخرین ترم همونا رو بپوشه یکی هم کل سیستما های به روز اپل رو داره و از سر تا پاش پول می‌باره ، هر…

Showing the 12 most recent of 35 posts we hold for @emotional_cupcake. 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.

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

“Emotional cupcake🧁” (@emotional_cupcake), 49 subscribers as measured 6 October 2026. Telegram Register, tgregister.com/channel/emotional_cupcake.

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.