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Telegram profile photo for US Department of Women Haters

Channel

US Department of Women Haters

@womanhate

Has discussion group

On this record: Topic · Growth · Engagement · Citations · Cite this entry

3,982subscribers

-73 since we began measuring on 6 August 2026

Risers and fallers across the register · movement among entries of 3,162–10,000.

Register entry

Telegram ID-1001138199523
TypeChannel
Username@womanhate
Created17 March 2021measured — cross-checked against a third-party dataset (ext.tg_channel)
First recorded5 September 2026
Last confirmed live16 September 2026
Measurements held15
Confirmed unchanged1 time, most recently 16 September 2026
On Telegramt.me/womanhate

Topic

Politics & activism — a classification, not a measurement. An on-box language model (Qwen3.6-35B-A3B-FP8, prompt version 1) read this channel’s own recent posts on 14 September 2026 and assigned it the closest of 31 fixed categories, at 85% 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.

Growth

3,9824,0554,018.56 August 2026 — 4,055 subscribers6 August 2026 — 4,054 subscribers9 August 2026 — 4,047 subscribers12 August 2026 — 4,040 subscribers16 August 2026 — 4,033 subscribers19 August 2026 — 4,025 subscribers22 August 2026 — 4,014 subscribers26 August 2026 — 4,006 subscribers29 August 2026 — 4,005 subscribers1 September 2026 — 3,995 subscribers4 September 2026 — 3,994 subscribers5 September 2026 — 3,994 subscribers9 September 2026 — 3,990 subscribers12 September 2026 — 3,988 subscribers16 September 2026 — 3,982 subscribers6 August 202616 September 2026
15 measurements spanning 41 days, net -73. 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 3,971–4,066 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
16 Sept 2026, 20:223,982-6
12 Sept 2026, 21:433,988-2
9 Sept 2026, 09:203,990-4
5 Sept 2026, 20:283,994no change
4 Sept 2026, 01:003,994-1
1 Sept 2026, 00:173,995-10
29 Aug 2026, 00:174,005-1
26 Aug 2026, 04:044,006-8
22 Aug 2026, 21:164,014-11
19 Aug 2026, 12:364,025-8
16 Aug 2026, 04:124,033-7
12 Aug 2026, 16:524,040-7
9 Aug 2026, 17:434,047-7
6 Aug 2026, 15:214,054-1
6 Aug 2026, 09:524,055first reading

Engagement

Posts not read yet. This entry is on the register from its profile alone; the post reader has not reached it. Engagement figures appear here once posts have actually been measured — we do not publish a rate before we have the readings behind it.

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.

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 16 September 2026 — this entry's latest reading, not the date you are reading this.

“US Department of Women Haters” (@womanhate), 3,982 subscribers as measured 16 September 2026. Telegram Register, tgregister.com/channel/womanhate.

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.