4 measurements spanning 7 days, net -13. 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 6,433–6,450 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
14 Aug 2026, 14:15
6,435
-4
10 Aug 2026, 21:42
6,439
-7
8 Aug 2026, 01:43
6,446
-2
7 Aug 2026, 04:45
6,448
first reading
Engagement
25 posts held, back to 21 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 9 pagesof Telegram’s post history, 20 posts per page.
ERR · 30 days
48.1%
avg views ÷ 6,435 subscribers
Avg views / post
3,100
9 posts measured
Reaction rate
1.25%
reactions ÷ views · ER floor
Posts in window
9
of 25 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
Window
Rolling 30 days · latest post in window 11 August 2026
Posts held
25 (21 May 2026 – 11 August 2026)
Views total
27,860
Reactions total
347
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
12 Aug 2026, 03:09 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
1,001 reactions across 25 posts, in 2 distinct kinds. The most used accounts for 85.8% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
👍
859
85.8%
👎
142
14.2%
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 25 of the 25 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 1,001reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 25 most recent posts we hold, published 21 May 2026 to 11 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.
Telegram Stars
Stars received
90
across the posts below
Posts paid on
1
of 25 we hold a reading for · 4%
Most on one post
90
single highest reading
A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @phenotyps. 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 25 most recent posts we hold for this entry, published 21 May 2026 to 11 August 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.
Александр Прохоров (Внук Елькина, Абдуль) - российский🇷🇺 блогер.
Этническое происхождение: информация не найдена
Цефальный индекс: ≈Брахицефалия
Лицевой индекс: ≈Юри/мезопросопия
Носовой индекс: ≈Лепториния
Форма спинки носа: Выпуклый
Высота лба: Высокий
Форма лба: Наклонный
Наклон глазной щели: Близок к горизонтальному
Ширина скул: Cредние/широкие
Ширина челюсти: Средняя
Форма затылка: Плоский
Цвет глаз: Светлый отт…
Уильям Берроуз - американский🇺🇸 писатель, художник.
Этническое происхождение: Английское🏴
Цефальный индекс: ≈Долихоцефалия
Лицевой индекс: ≈Лептопросопия
Носовой индекс: ≈Лепториния
Форма спинки носа: Слабо выпуклый
Высота лба: Высокий
Форма лба: Наклонный
Наклон глазной щели: Близок к горизонтальному
Ширина скул: Узкие/средние
Ширина челюсти: Узкая
Форма затылка: Выпуклый
Цвет глаз: Светлый оттенок
Толщина губ…
Проект никак не монетизируется: нет рекламы, платных подписок, донатов через сторонние сервисы и партнёрских программ.
Если контент интересен и вы хотите поддержать автора, можете:
• Поставить звёздную реакцию ⭐️ под любым постом
• Проголосовать за канал t.me/boost/phenotyps
Спасибо
Автор осуждает разжигание вражды, нацизм, фашизм, расизм и дискриминацию, признавая равенство всех людей.
Сергей Григорьев-Апполонов (Grey Wiese) - российский🇷🇺 блогер, певец.
Этническое происхождение: известно о
Русском🇷🇺
Цефальный индекс: вероятно ≈Брахи/мезоцефалия
Лицевой индекс: ≈Мезо/юрипросопия
Носовой индекс: ≈Лепториния
Форма спинки носа: Незначительно вогнутая
Высота лба: Средний
Форма лба: Наклонный
Наклон глазной щели: Внутренние углы ниже
Ширина скул: Широкие
Ширина челюсти: Средняя/широкая
Форма затылка: ве…
Максим Мальцев - российский🇷🇺 актёр.
Этническое происхождение: известно о
Русском🇷🇺
Цефальный индекс: ≈Брахицефалия
Лицевой индекс: ≈Юрипросопия
Носовой индекс: ≈Мезориния
Форма спинки носа: Вогнутая
Высота лба: Высокий
Форма лба: Наклонный
Наклон глазной щели: Внутренние углы ниже
Ширина скул: Широкие/средние
Ширина челюсти: Широкая
Форма затылка: Плоский
Цвет глаз: Темный оттенок
Толщина губ: Средние
Телосложение: …
Егор (Лукмаксер/Настоящий) - российский🇷🇺 блогер.
Этническое происхождение: информация не найдена
Цефальный индекс: вероятно ≈Брахи/мезоцефалия
Лицевой индекс: ≈Мезопросопия
Носовой индекс: ≈Мезориния
Форма спинки носа: Незначительно вогнутая
Высота лба: Высокий
Форма лба: Наклонный
Наклон глазной щели: Внутренние углы немного ниже
Ширина скул: Средние
Ширина челюсти: Средняя/узкая
Форма затылка: вероятно Слабо выпук…
Ева Грин - французская🇫🇷 актриса, модель.
Этническое происхождение: Французское🇫🇷
Бретонское🇫🇷Шведское(1/4)🇸🇪
в меньшей степени
Испанское🇪🇸Сефардское
Цефальный индекс: вероятно ≈Мезоцефалия
Лицевой индекс: ≈Мезопросопия
Носовой индекс: ≈Лепториния
Форма спинки носа: Волнистая
Высота лба: Высокий
Форма лба: Близок к вертикальному
Наклон глазной щели: Горизонтальный
Ширина скул: Средние
Ширина челюсти: Средняя
Форма за…
Анастасия Брагина - российский🇷🇺 блогер.
Этническое происхождение:
информация не найдена
Цефальный индекс: вероятно ≈Брахи/мезоцефалия
Лицевой индекс: ≈Юри/мезопросопия
Носовой индекс: ≈Лепториния
Форма спинки носа: Незначительно вогнутая
Высота лба: Высокий
Форма лба: Слабо наклонный
Наклон глазной щели: Близок к горизонтальному
Ширина скул: Средние/широкие
Ширина челюсти: Средняя
Форма затылка: вероятно Слабо выпук…
Дафни Кин - испанская🇪🇸 актриса.
Этническое происхождение:
Отец: Английское🏴
Ирландское🇮🇪Шотландское🏴
в меньшей степени Французское🇫🇷
Мать: Испанское🇪🇸
Цефальный индекс: вероятно ≈Брахи/мезоцефалия
Лицевой индекс: ≈Юрипросопия
Носовой индекс: ≈Мезориния
Форма спинки носа: Прямая
Высота лба: Высокий
Форма лба: Слабо наклонный
Наклон глазной щели: Внутренние углы ниже
Ширина скул: Средние/широкие
Ширина чел…
Гарри Кейн - английский🏴 футболист.
Этническое происхождение:
Ирландское🇮🇪Английское🏴
Цефальный индекс: ≈Мезо/долихоцефалия
Лицевой индекс: ≈Лептопросопия
Носовой индекс: ≈Лепториния
Форма спинки носа: Слабо волнистая
Высота лба: Высокий
Форма лба: Слабо наклонный
Наклон глазной щели: Внутренние углы немного выше
Ширина скул: Средние
Ширина челюсти: Узквя/средняя
Форма затылка: Выпуклый
Цвет глаз: Светлый…
Дэйви Чейз - американская🇺🇸 актриса.
Этническое происхождение: Английское🏴
Сицилийское(1/4)🇮🇹Немецкое🇩🇪Шотландское🏴
Французское🇫🇷Ирландское🇮🇪
Цефальный индекс: вероятно ≈Мезо/брахицефалия
Лицевой индекс: ≈Юрипросопия
Носовой индекс: ≈Лепториния
Форма спинки носа: Слабо вогнутая
Высота лба: Высокий
Форма лба: Слабо наклонный
Наклон глазной щели: Внутренние углы немного ниже
Ширина скул: Широкие/средние
Шир…
👍15👎13
Showing the 12 most recent of 25 posts we hold for @phenotyps. 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.
Citation-graph rank
Citation-graph rank — 399,739 of 1,478,351entries 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
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 14 August 2026 — this
entry's latest reading, not the date you are reading this.
“Примеры фенотипов” (@phenotyps), 6,435 subscribers as measured 14 August 2026. Telegram Register, tgregister.com/channel/phenotyps.
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.