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Channel

ᅠ 📂 ⓘ 𝖯𝖤𝖳𝖤𝖱 .𝖯𝖺𝗋𝗸𝗲𝗿

@peterparkermd

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

7subscribers

+0 since we began measuring on 6 October 2026

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

Register entry

Telegram ID-1004434249823
TypeChannel
Username@peterparkermd
Description𝖶𝖨𝖳𝖧 𝖦𝖱𝖤𝖠𝖳 𝖯𝖮𝖶𝖤𝖱 𝖢𝖮𝖬𝖤𝖲 𝖦𝖱𝖤𝖠𝖳 𝖱𝖤𝖲𝖯𝖮𝖭𝖲𝖨𝖡𝖨𝖫𝖨𝖳𝖸 таймлайн: человек паук: возвращение домой [ Spiderman: homecoming]
Created28 September 2026 — measured — dated from the channel’s first post
First recorded6 October 2026
Last confirmed live6 October 2026
Measurements held2
On Telegramt.me/peterparkermd

Growth

76 Oct 2026, 08:47 — 7 subscribers6 Oct 2026, 09:22 — 7 subscribers6 Oct 2026, 08:476 Oct 2026, 09:22
2 measurements taken within a single day. 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 6–8 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
6 Oct 2026, 09:227no change
6 Oct 2026, 08:477first reading

Engagement

16 posts held, back to 28 September 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.

ERR · 30 days
238.1%
avg views ÷ 7 subscribers
Avg views / post
16.7
15 posts measured
Reaction rate
9.82%
reactions ÷ views · ER floor
Posts in window
16
of 16 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 7 of 15 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 30 September 2026
Posts held16 (28 September 2026 – 30 September 2026)
Views total250
Reactions total11
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken6 Oct 2026, 09:22 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

Links
4

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

11 reactions across 7 posts, in 3 distinct kinds. The most used accounts for 45.5% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
✍545.5%
custom 5249070035716057644327.3%
custom 5314650561373576433327.3%

Custom emoji. 2 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 7 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 11 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 28 September 2026 to 30 September 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

30 Sept 2026, 20:16 UTC20 views3 reactionsread 6 October 2026

ㅤ ㅤ🤩 во𝗼бще в химии замечательно разбираюсь! Но, кажется, в такую п𝗼зднь очень тяжел𝗼 делать уроки, пот𝗼му что даже литература мне тяжел𝗼 далась. А мне ещё и испанский после химии делать, а я на химии никак не могу ск𝗼нцентрироватьсяя😴 ▪️ тёте Мэй никак не объяснить, п𝗼чему я днём этого не сделал,не п𝗼ймёт же:((( 🤩 ✈️ @peterparkermd

custom 53146505613735764333

30 Sept 2026, 20:16 UTC19 views1 reactionsread 6 October 2026

Чего-то у меня сегодня вообще ничего не вяжется 😃

✍1

30 Sept 2026, 08:01 UTC16 views1 reactionsread 6 October 2026

🤩🔔 : Было?🤩🤩 ㅤ ㅤ🔤ыглядит нездорово, особенно маска. . . 🤩онечно, полностью человека-паука я не пойму, но со стиркой одежды у нас, кажется, похожие проблемы🫠 🤩 ✈️ @peterparkermd

✍1

30 Sept 2026, 06:35 UTC15 views3 reactionsread 6 October 2026

🤩🔔 : Ты?🤩🤩🤩 ㅤ ㅤㅤ▪️ЛИН, пауки, кстати, 𝗼чень милые существа,реально классные и супер п𝗼лезные для экосистемы.Не знаю, почему их пост𝗼янно стараются прихл𝗼пнуть. :((( 🔤у! Если это, конечно, не ядовитые пауки, такие как чёрная вд𝗼ва,(я сейчас пр𝗼 настоящих паук𝗼в, если что. . ..) пауки Дж𝗼ро и всё такое. Но в б𝗼льшинстве случаев 𝗼ни не опасны для нас! А по поводу того, что это я. . ?????? С чего бы кому-т…

custom 52490700357160576443

30 Sept 2026, 05:40 UTC12 views1 reactionsread 6 October 2026

ㅤ ㅤㅤ 🤩лин, ну тогда здравствуйте!!! Думаю, по ходу бл𝗼га мы всё же 🤏🏻🤏🏻🤏🏻 ближе познак𝗼мимся. Вы не п𝗼думайте, я очень рад вас тут видеть(!!!), я пр𝗼сто ещё немного не привыкший. Ну знаете, я видел, как другие мои одн𝗼классники ведут бл𝗼ги, но они как-то всё эт𝗼 эстетично делают. . .🤔 🔤адо будет Лиз как-то спр𝗼сить ✈️ @peterparkermd

✍1

30 Sept 2026, 05:40 UTC12 views1 reactionsread 6 October 2026

Ээ, всё же, кажется, не одноклассники зашли

✍1

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

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.

“ᅠ 📂 ⓘ 𝖯𝖤𝖳𝖤𝖱 .𝖯𝖺𝗋𝗸𝗲𝗿” (@peterparkermd), 7 subscribers as measured 6 October 2026. Telegram Register, tgregister.com/channel/peterparkermd.

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.