Local community — a classification, not a measurement. An on-box language model (Qwen3.6-35B-A3B-UD-Q6_K_XL, prompt version 1) read this channel’s own recent posts on 11 August 2026 and assigned it the closest of 31 fixed categories, at 100% 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.
Observations
These are measurements, not verdicts. Each one below states something we counted, alongside the evidence it was counted from, so you can check it rather than take it. None of them is graded: every observation this register holds is recorded at severity 0, because the precision of the detectors behind them has not been measured yet, and a rating we cannot support is worse than none. Read each as a fact about the data, not as a judgement about the channel. How we measure.
Content that also appears on other registered channels
Posts published here appear word for word on 1 other registered channel. The matching is on the text itself, not on Telegram’s forward marker, so it finds a copy whether or not it was labelled as one.
Matching posts — open both and compare (2 of the pairs behind the counts below)
Text overlap is the Jaccard coefficient over the set of distinct three-word phrases in the two bodies: 1.00 is identical wording, and the threshold for counting a pair at all is 0.70. Candidates are generated by simhash LSH (4 x 16-bit bands, exact Hamming <= 3) verified against the bodies with Jaccard over the SET of distinct 3-word shingles. Published first counts which side of each matching pair carries the earlier timestamp — in this corpus, which is the limitation directly below.
What this cannot establish
MEASURED, DOMINANT ERROR SOURCE: a post ingested before 2026-08-06 may have carried a forward header that was not recorded. A 45-pair hand-check against live t.me pages found 14 (31%) where the live page shows a forward header naming the other channel and the database has none, plus 4 more (9%) naming a third party. The text match itself was wrong 0 times out of 45. Read attribution_capture.items_in_trusted_window before treating the unattributed count as a claim.
Telegram lets a channel forward a post with a header naming the source, and we only began reliably recording that header on 2026-08-06. None of the 0 matches recorded here fall after that date, so for this entry we cannot say whether any of them carried a credit. The duplication is measured; the absence of attribution is not.
“Published first” means first in this corpus. We hold 9 comparable posts for this entry, running 2 August 2026 to 6 August 2026. A channel we have read one page deep will look younger than a neighbour we have read in full, and the order would flip with no change in the underlying facts.
The detector’s own notes on this observation, as it recorded them. Names in this_style are fields of the underlying evidence record, which the plain-English paragraphs above read out for this entry.
Verbatim republication has three causes and the text separates only two: a clone/mirror, unattributed copy-paste, or BOTH channels copying a common third source that neither attributes. The spread filter (content held by at most 8 channels) reduces the third and does not remove it.
'Earliest' means earliest IN THIS CORPUS. A channel ingested one page deep will look younger than a neighbour ingested in full; corpus_coverage above is there to be checked before the direction is believed.
shared_verified_est extrapolates the sampled pass rate over the full narrow match count; sampled/passed are the numbers actually measured.
Absence of a forward header is not proof of intent: Telegram lets a channel disable forward attribution, and a credit written in the body is not parsed as attribution here (mention_edge_either_way above is the closest available signal).
Across the whole group of 2, the earliest publisher we hold is @haifarumuni — which is this entry. That is a statement about our reading window, not a claim of authorship.
Recorded under the key clone_source, last confirmed 7 August 2026. An observation that a later pass no longer finds is cleared, and a cleared observation is removed from this page rather than being shown struck through — we do not keep publishing a claim we have withdrawn. Dispute an observation.
Also posting the same content
This channel’s posts match, word for word or near enough, posts on 1 other registered channel, found by comparing text fingerprints across every channel on the register. That matching has been checked by hand against the live Telegram pages and found reliable — 0 wrong of 45 pairs re-read.
Which channel, if either, published first is deliberately not shown. The same hand-check found that reading wrong 18 of 45 times — 60%, no better than a coin flip — because it depends on how deep our own crawl happened to reach into each channel’s history, not on when the content was actually first posted. This list is ordered by subscriber count, the same as every other listing on this site, never by which channel we think came first. Word-for-word matching has several ordinary explanations besides copying — a channel mirroring itself, an unattributed repost, or two channels independently repeating the same wire story — and this measurement cannot tell those apart. How this is measured.
5 measurements spanning 10 days, net -5. 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 7,431–7,438 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
15 Aug 2026, 20:07
7,432
-2
12 Aug 2026, 12:24
7,434
-1
9 Aug 2026, 14:16
7,435
-1
6 Aug 2026, 07:50
7,436
-1
6 Aug 2026, 04:21
7,437
first reading
Engagement
23 posts held, back to 2 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 11 pagesof Telegram’s post history, 20 posts per page.
ERR · 30 days
37.0%
avg views ÷ 7,432 subscribers
Avg views / post
2,750
23 posts measured
Reaction rate
0.69%
reactions ÷ views · ER floor
Posts in window
23
of 23 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 22 of 23 measured posts that carry a reaction reading, and over those same posts' views.
What these figures were computed from
Window
Rolling 30 days · latest post in window 12 August 2026
Posts held
23 (2 August 2026 – 12 August 2026)
Views total
63,294
Reactions total
430
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
12 Aug 2026, 17:28 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
Video runtime
7m 08s
Average length
2m 23s
Measured directly from 3 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
222 reactions across 16 posts, in 13 distinct kinds. The most used accounts for 46.4% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
103
46.4%
👍
53
23.9%
🔥
19
8.56%
🤡
19
8.56%
👎
10
4.50%
👏
9
4.05%
❤🔥
3
1.35%
👀
1
0.45%
💩
1
0.45%
🙏
1
0.45%
🤝
1
0.45%
🤮
1
0.45%
🥰
1
0.45%
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 22 of the 23 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 430reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 23 most recent posts we hold, published 2 August 2026 to 12 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.
⚠️ Обновление от Хайфского муниципалитета
Как сообщалось ранее на этой неделе, в рамках масштабного обновления дорог Хайфы на улице Шимшон проводятся работы по ремонту и обновлению дорожного покрытия на участке между проспектом Мория и улицей Йотам.
В связи с необходимостью проведения дополнительных инфраструктурных работ этот участок улицы Шимшон останется полностью закрытым для движения транспорта в обоих направле…
🍴 Почувствуйте атмосферу и вкусы вчерашнего вечера!
А впереди ещё два дня первого гастрономического фестиваля Хайфы! 😋
Яркие вкусы, отличная атмосфера и множество гастрономических открытий.
Ждём вас! 💙
Ура! В Хайфе открылся Первый фестиваль еды. 😉😊
1️⃣Первый - потому что раньше такого в нашем городе никогда не было.
⭐Фестиваль - потому что представлены 40 самых разных кухонь и ресторанов со всей страны.
🍔🌭🍗Ну а еда... все же знают, что еда - это израильский национальный вид спорта 😀
Сняли для вас небольшое видео оттуда, чтобы передать атмосферу фестиваля, где самое дорогое блюдо от самого крутого мишленовского по…
🚦 Хайфа усиливает борьбу с ДТП: новая умная система поможет сделать пешеходные переходы безопаснее.
После успешного пилотного проекта, который продолжался около двух лет и получил одобрение испытательной комиссии Министерства транспорта, Хайфский муниципалитет начинает использовать новую систему автоматического распознавания пешеходов.
Как она работает?
▪️ Система автоматически распознаёт человека, который подходи…
🏖️ Пляжи Хоф а-Кармель и Дадо Южный вновь открыты
После того как результаты повторной проверки качества морской воды на пляже Хоф а-Кармель Северный, рядом с гостиницей «Меридиан», и на пляже Дадо Южный (Студенческий пляж) не выявили отклонений, Министерство здравоохранения разрешило вновь открыть оба пляжа.
Ранее пляжи были закрыты по результатам предыдущих проверок.
С этого момента оба пляжа открыты для посещени…
🍴 Первый гастрономический фестиваль Хайфы стартует!
Три дня большого гастрономического праздника с участием известных шеф-поваров, ресторанов и гастрономических проектов со всей страны.
Среди участников: Исраэль Аарони, Мошик Рот, Гай Гамзо, Ави Битон, Рахель Бен-Элуль, Хамуди Окала, Муин Халаби, Роби Михаэль, Шери и Михаль Ански, Agadir, Rasif 33, а также популярные хайфские рестораны, десятки гастрономических сте…
☀️ Кто сказал, что в августе без кондиционера никуда?
Каждую среду встречаемся на площадке «Рахават
а-Мехолелим» на пляже Дадо и заряжаемся энергией на летней зумбе! 💃
Целый час движения под отличную музыку, зажигательные ритмы и море хорошего настроения.
📅 По средам в августе: 12.8 | 19.8 | 26.8
🕗 20:00–21:00
📍 Рахават а-Мехолелим, пляж Дадо
Приходите и присоединяйтесь. Свой ритм найдём вместе! 💙
⚠️ Министерство здравоохранения распорядилось закрыть пляжи Дадо Южный и Хоф а-Кармель из-за загрязнения морской воды
По результатам проб, выявивших загрязнение морской воды на пляже Хоф а-Кармель Северный, в районе гостиницы «Меридиан», а также на пляже Дадо Южный, станция № 6 (Студенческий пляж), Министерство здравоохранения распорядилось немедленно закрыть оба пляжа для купания.
В течение дня на обоих пляжах буд…
🚧 Хайфа продолжает обновлять дороги. На очереди улица Шимшон.
📅 Среда и четверг, 12–13 августа | 🕗 С 08:00 до 16:00
Хайфский муниципалитет проведёт работы по обновлению дорожного покрытия на улице Шимшон, на участке между проспектом Мория и улицей Йотам.
🚗 Во время проведения работ этот участок будет закрыт для движения транспорта в обоих направлениях.
🅿️ Парковка вдоль всего участка проведения работ будет запрещ…
После недавних трагических случаев в Хайфе: муниципалитет усиливает помощь пожилым людям, которые живут одни.
После нескольких недавних случаев, когда одинокие жители Хайфы скончались у себя дома и были обнаружены лишь спустя несколько дней, в том числе минувшей ночью, генеральный директор Хайфского муниципалитета Давид Лурия созвал экстренное совещание с участием городских и социальных служб, муниципального надзора…
🏃♀️🏃♂️ Праздник лёгкой атлетики для всей семьи!
26 августа в Спортеке Неве-Шаанан пройдёт спортивный праздник для детей и взрослых. Участников ждут спортивные станции под руководством тренеров, чемпионов и рекордсменов Израиля.
📅 Среда, 26 августа | 18:30–20:00 | Спортек Неве-Шаанан, ул. Йоханан Ратнер, 8
Вход свободный
В программе:
🏃 спортивные станции для всей семьи;
⚽ метание мягкого мяча на дальность;
🤸 п…
🍉🍨😎 Афиша недели: 9–15 августа
Лето в Хайфе в самом разгаре! На этой неделе жителей и гостей города ждут гастрономический фестиваль, концерты, кино под открытым небом, мастер-классы, семейные мероприятия и множество других интересных событий.
🍽️ Первый гастрономический фестиваль Хайфы
Впервые площадь у стадиона «Сами Офер» станет главной гастрономической площадкой города. Вас ждут блюда от известных шеф-поваров и …
❤6👍1🥰1
Showing the 12 most recent of 23 posts we hold for @haifarumuni. 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 — 52,313 of 1,481,502entries 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
Named by 2 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.
Named by
Channels on the register whose posts name this channel's handle.
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.
Handles this channel named that no longer answer
Dead references
1
handles named in this channel’s posts, vacant today
Evidenced gone
0
we ourselves saw one of these resolve, at some point
Never seen alive
1
vacant every time we have ever looked
@haifarumuni named 1 handle that resolve to nothing today. That is a fact about the reference, not necessarily a fact about the handle’s history — see the two groups below.
Most of these may never have existed as a live channel at all.A handle a channel names can be a typo, an aspirational name nobody registered, or a channel that was already gone before this one ever mentioned it. Unless a row below is marked evidenced, all we know is that it references a handle that is not a live channel today — not that anything “died”. How this is measured.
Never seen alive
References a handle that is not a live channel — we have no record it ever was one.
@haifa named in 1 post, 11 August 2026 – 11 August 2026
Appears in Telegram’s recommendations for other channels
The reverse of the list above, and a different kind of signal. This does not require this channel to have ever been asked about directly — each row below is a channel we DID ask Telegram about, whose Telegram-generated list happened to include this one. A channel can appear here with an empty list above it, because being named by someone else’s query is independent of having been queried itself.
Дежурный по Израилю @israeltoday · 141,533 Telegram ranks this channel #42 of 89 here — alongside 88 others — read 13 August 2026
Израильские трудовыебудни @Trueisrael · 133,673 Telegram ranks this channel #75 of 86 here — alongside 85 others — read 13 August 2026
9 канал Израиль @israel_9 · 144,561 Telegram ranks this channel #84 of 92 here — alongside 91 others — read 13 August 2026
Голос Израиля | Израиль Новости @voiceofisrael · 272,784 Telegram ranks this channel #87 of 92 here — alongside 91 others — read 10 August 2026
This channel appears in 4 seed channels' Telegram-generated recommendation lists in total. Each is Telegram’s list for THAT channel, not this one — see how this is measured.
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 15 August 2026 — this
entry's latest reading, not the date you are reading this.
“Муниципалитет г. Хайфа” (@haifarumuni), 7,432 subscribers as measured 15 August 2026. Telegram Register, tgregister.com/channel/haifarumuni.
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.