Telegram RegisterThe public register of Telegram

Channel

Любовь, BI и графики

@loving_bi

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

1,531subscribers

+28 since we began measuring on 6 August 2026

Risers and fallers across the register · movement among entries of 1,000–3,162.

Register entry

Telegram ID-1003572848304
TypeChannel
Username@loving_bi
CreatedBetween 1 December 2025 and 31 May 2026— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded6 August 2026
Last confirmed live12 August 2026
Measurements held5
Confirmed unchanged1 time, most recently 12 August 2026
On Telegramt.me/loving_bi

Growth

1,5031,5311,5176 August 2026 — 1,503 subscribers6 August 2026 — 1,503 subscribers7 August 2026 — 1,505 subscribers9 August 2026 — 1,512 subscribers12 August 2026 — 1,531 subscribers6 August 202612 August 2026
5 measurements spanning 6 days, net +28. 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 1,499–1,535 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
12 Aug 2026, 14:341,531+19
9 Aug 2026, 19:311,512+7
7 Aug 2026, 01:211,505+2
6 Aug 2026, 07:451,503no change
6 Aug 2026, 03:511,503first reading

Engagement

7 posts held, back to 8 July 2026the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 2 pagesof Telegram’s post history, 20 posts per page.

ERR · 30 days
44.9%
avg views ÷ 1,531 subscribers
Avg views / post
688
4 posts measured
Reaction rate
6.03%
reactions ÷ views · ER floor
Posts in window
4
of 7 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 7 August 2026
Posts held7 (8 July 20267 August 2026)
Views total2,752
Reactions total166
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken7 Aug 2026, 18:12 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

263 reactions across 5 posts, in 9 distinct kinds. The most used accounts for 36.5% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
😁9636.5%
6223.6%
🔥5219.8%
😭176.46%
124.56%
💯124.56%
👏103.80%
😨10.38%
🤣10.38%

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 7 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 331reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 7 most recent posts we hold, published 8 July 2026 to 7 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.

Advertising

Ad load
14.3%
1 of 7 posts carry an ad marker
Regulatory tokens
1
posts carrying an erid · 1 distinct token
Median views · ads
414
over 1 measured post
Median views · rest
1,050
over 6 measured posts

An ad marker, not a judgement about a post. A post is counted here because it carries one of two explicit markings: an erid token, which Russian law has required on paid placements since 2022 and which is issued against a specific advertising contract, or a #реклама / #ad hashtag in the body, which is the channel declaring it itself. The first is documentary; the second is a self-declaration and is weaker. No classifier reads the text and decides — nothing on this site guesses that a post is an advertisement.

This is a floor, and it can only ever be a floor.A channel that runs paid placements without marking them produces no marker for us to count, and an unmarked ad is indistinguishable from an ordinary post on the public surface. The ad load above therefore means “the share of posts that declared themselves”, never “the share of posts that were paid for”. A low figure is not evidence of a channel that runs few ads.

Both figures are medians, and no ratio between them is published. Each is a view reading that actually occurred on a post, picked by percentile_disc rather than averaged, so one viral post cannot move it and no interpolated value is invented between two readings. The sample on one side is under five posts, which is too thin to compare. The two figures are shown side by side with the count behind each, and deliberately not divided into a headline like “ads get x% fewer views” — an arithmetic that is easy to print and, at this sample size, means nothing.

Advertising tokens recorded on this entry
eridPostsFirst seenLast seen
2W5zFHHrZbf14 August 20264 August 2026

A token repeated across several posts is one advertising contract placed more than once, which is what the identifier is for. The strings are reproduced exactly as they appeared in the post or in its click-through URL and are not validated against any registry — we record the marker a channel published, and whether it resolves to a real contract is a question for the register that issued it.

Measured over the 7 most recent posts we hold, published 8 July 2026 to 7 August 2026. Views are the latest single reading held for each post, and any reading at or above 1,000 is rounded by Telegram to three significant figures.

Recent posts

7 Aug 2026, 06:53 UTC268 views31 reactionsread 7 August 2026
Photo

✂️ Разрезы графиков или split by Это хороший способов сделать дашборд информативнее, чтобы не плодить десятки отдельных графиков, а дать пользователю возможность самому "разрезать" один график по нужному измерению. Смотрите, у нас есть простой график: число заказов. И когда метрика меняется, то непонятно из-за чего: то ли какая-то категория упала, то ли служба доставки выросла. Добавляем разрез (split by), и сразу

207🔥4

4 Aug 2026, 15:33 UTC≈414 views27 reactionsread 6 August 2026
Advertisementerid 2W5zFHHrZbf

AB-тест показал прирост метрики, но после релиза ничего не изменилось Такой сюжет знаком всем, кто в аналитике не первый год и почти всегда за ним стоит одна из трех групп ошибок: организационная, статистическая или техническая. Иногда — все три вместе в одном тесте Организационные — про то, как эксперимент вообще запускался и когда его остановили. Статистические — про расчет выборки, работу с метриками и значимост

4 Aug 2026, 06:28 UTC680 views71 reactionsread 7 August 2026
Photo

Мем с Киллианом Мерфи прекрасно иллюстрирует эмоции аналитика от типичных запросов заказчика 💁‍♀️ Киллиан - мой любимый актер, я знаю, что сейчас он очень популярен (спасибо Козырькам и Оппенгеймеру), но я крайне рекомендую вам посмотреть его старые работы: ✈️триллер «Ночной рейс» с Рейчел Макадамс 🔥фильм про космос и спасение солнца «Пекло» (забавно, что на английском фильм называется Sunshine, но наше «пекло» под

😁4611💯8🔥5🤣1

17 Jul 2026, 05:37 UTC≈1,390 views37 reactionsread 7 August 2026
Photo

🍎🍏Созревающие метрики Недавно я делала график, который показывает недозревшие метрики. Что же это такое я объясню на примере: Представьте, что у вас сервис по заказу цветов с доставкой, и вы хотите видеть на какой процент заказов покупатели оставляют отзывы. Для заказов, которые были совершены месяц назад отзывов будет больше, чем на те, которые покупатели получили вчера, потому что пользователи еще просто не успел

22🔥105

14 Jul 2026, 13:30 UTC≈1,050 views32 reactionsread 7 August 2026
Forwarded from @pies_and_barsPhoto

🔥🔥 Интервью с аналитиком Прошлый раз вы проголосовали за коллегу из Авито, и сегодня я вам раскрою крутого senior BI разработчика из моей команды - Леру Смирнову 🥰 Лера не просто сильный эксперт, но и имеет очень интересный опыт (например, за плечами у Леры переход из продуктовой аналитики в BI), поэтому ей точно есть чем поделиться 🍿 Лера, ты работала и продуктовым, и BI аналитиком. Что на твой взгляд сложнее - п

🔥179👏6

10 Jul 2026, 14:28 UTC≈3,100 views92 reactionsread 7 August 2026
Photo

Всех с пятницей! Люблю комиксы Gudim @yesbut_official особенно его серию с yes, but Поэтому вдохновившись его работами, мы с чатом GPT нагенерировали такие комиксы😅 Чисто, чтобы вы прочувствовали всю боль!

😁50😭17🔥16👏4💯4😨1

8 Jul 2026, 16:50 UTC≈1,280 views41 reactionsread 6 August 2026
Photo

🤖 Пусть потеет машина, а не пользователь Есть еще один принцип, которого я стараюсь придерживаться при разработке дашбордов: всю работу, которую может сделать машина, должна делать машина. Если в Redash или SQL можно что-то посчитать, подсказать или автоматизировать, значит, пользователю не нужно делать это вручную.Вот несколько реальных примеров 📈 Тултипы Во всплывающей подсказке можно показать не только значени

Showing the 7 most recent of 7 posts we hold for @loving_bi. 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 — 104,927 of 1,169,250entries 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.

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 3 registered channels — 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.

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

“Любовь, BI и графики” (@loving_bi), 1,531 subscribers as measured 12 August 2026. Telegram Register, tgregister.com/channel/loving_bi.

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.