Telegram RegisterThe public register of Telegram
Telegram profile photo for Gypsy Magic

Channel

Gypsy Magic

@nikitamagician

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

309subscribers

-2 since we began measuring on 7 August 2026

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

Register entry

Telegram ID-1002016670327
TypeChannel
Username@nikitamagician
CreatedBetween 1 November 2023 and 31 May 2024 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded8 August 2026
Last confirmed live29 August 2026
Measurements held5
Confirmed unchanged1 time, most recently 29 August 2026
On Telegramt.me/nikitamagician

Growth

3073113097 August 2026 — 311 subscribers8 August 2026 — 311 subscribers15 August 2026 — 308 subscribers23 August 2026 — 307 subscribers29 August 2026 — 309 subscribers7 August 202629 August 2026
5 measurements spanning 22 days, net -2. 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 306–312 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
29 Aug 2026, 21:56309+2
23 Aug 2026, 05:27307-1
15 Aug 2026, 18:16308-3
8 Aug 2026, 07:46311no change
7 Aug 2026, 18:35311first reading

Engagement

16 posts held, back to 26 May 2026the 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 16 posts for this entry, the most recent from 17 July 2026. An engagement rate over an empty window would be a number about nothing.

What this channel posts

Video runtime
9m 16s
Average length
1m 02s

Measured directly from 9 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

135 reactions across 16 posts, in 22 distinct kinds. The most used accounts for 20.7% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
🔥2820.7%
2014.8%
custom 5303122748892002994128.89%
🫡96.67%
custom 522004953010747534285.93%
💘75.19%
🤣64.44%
custom 632762098184198763853.70%
custom 632800793262555318453.70%
👀53.70%
😱53.70%
❤‍🔥42.96%
custom 526267199957397756932.22%
custom 632578012449918303032.22%
custom 632583536207357739032.22%
🍌32.22%
😍32.22%
🆒21.48%
custom 538651641089152676810.741%
custom 632757892981719265210.741%
2 further kinds21.48%

Custom emoji. 9 of the rows above are Telegram custom emoji, which the public preview renders as an element carrying only a numeric id — no character, and no image we can reach. The id is printed as-is rather than substituted with a look-alike glyph, because a stand-in would be our invention showing where a measurement should be. The counts beside them are Telegram’s.

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 16 of the 16 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 135 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 16 most recent posts we hold, published 26 May 2026 to 17 July 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.

Telegram Stars

Stars received
1
across the posts below
Posts paid on
1
of 16 we hold a reading for · 6%
Most on one post
1
single highest reading

A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @nikitamagician. Telegram publishes the count on the public post preview alongside ordinary reactions, and this register reads it there. It is the only figure on this site that measures money moving rather than attention.

Stars are not reactions, and the two are never added. They are rendered in the same strip on Telegram and counted in the same shape, but one is a tap and the other is a purchase. The reaction totals and the engagement rate elsewhere on this page exclude every figure in this section, and no rate here is computed against a reaction count.

This is not revenue, and we publish no currency figure. What a Star costs a reader and what it pays a channel are different numbers, Telegram takes a share we cannot observe, and the terms have changed. Converting a Star count into money would be an estimate dressed as a measurement, so the count is where we stop.

Counted over the 16 most recent posts we hold for this entry, published 26 May 2026 to 17 July 2026. Star counts above 1,000 reach us in Telegram’s short form and carry the same three-significant-figure rounding as everything else on this page.

Recent posts

17 Jul 2026, 12:33 UTC101 views13 reactionsread 8 August 2026
Video

Video, posted without a caption

3🔥3😍3custom 53031227488920029942💘1🤣1

16 Jul 2026, 20:44 UTC119 views3 reactionsread 8 August 2026
Photo

Я поехал в Челябинск на гастроли 😃☝🏽

1❤‍🔥1👀1

25 Jun 2026, 18:34 UTC193 views20 reactionsread 8 August 2026
Video

Это что за предсказание 🥠😂

🔥5😱5🫡3👀21custom 52200495301074753421custom 63257801244991830301custom 63258353620735773901

19 Jun 2026, 10:16 UTC227 views13 reactionsread 8 August 2026
Video

Показал основы левитации за топовый кальян в Казанской Смене 😃

4🔥4🫡3custom 52200495301074753421custom 53031227488920029941

13 Jun 2026, 14:03 UTC312 views10 reactionsread 8 August 2026
Video

Этот фокус Дэвид Блейн постоянно показывает на ТВ шоу Когда я его увидел первый раз это был вынос мозга 😂 Обучение этому и сотни других фокусов в закрытом тг канале: https://t.me/tribute/app?startapp=sDRb

5custom 53031227488920029943🆒1custom 63257801244991830301

7 Jun 2026, 14:58 UTC176 views11 reactions1 Starread 8 August 2026
Video

Таинственные дела происходят в стенах G lounge 🙃

🔥43custom 52200495301074753423👀1

3 Jun 2026, 18:42 UTC204 views8 reactionsread 8 August 2026
Video message

Video message, posted without a caption

💘3🔥32

2 Jun 2026, 16:22 UTC152 views7 reactionsread 8 August 2026
Video message

Video message, posted without a caption

🍌2🫡2custom 63280079326255531842🔥1

2 Jun 2026, 15:39 UTC150 views7 reactionsread 8 August 2026
Video message

Video message, posted without a caption

🤣3🔥1🤩1custom 63275789298171926521custom 63276209818419876381

2 Jun 2026, 15:39 UTC144 views3 reactionsread 8 August 2026
Video

Video, posted without a caption

🤣2🔥1

2 Jun 2026, 00:49 UTC124 views7 reactionsread 8 August 2026
Video message

Video message, posted without a caption

🔥2❤‍🔥1💘1custom 53031227488920029941custom 53865164108915267681custom 63258353620735773901

2 Jun 2026, 00:48 UTC129 views7 reactionsread 8 August 2026
Photo

6 человек сказали что я шикарно выгляжу 😎 Не люблю спорить 😂 Как думаете какое соотношение м/ж тех кто говорил 😃 Казань ТЦ Горки парк

custom 63276209818419876383custom 52200495301074753422👀1custom 63257801244991830301

Showing the 12 most recent of 16 posts we hold for @nikitamagician. 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.

Stars beside a post are paid reactions — Telegram Stars, bought with money and spent on that post. They are a different unit from reactions and are never added to them, here or anywhere else on this page.

Mentions

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

“Gypsy Magic” (@nikitamagician), 309 subscribers as measured 29 August 2026. Telegram Register, tgregister.com/channel/nikitamagician.

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.