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@tamilactress_in: statistics and cleanliness index

South Actress Hot Gallery 💃

South Indian Actress Latest Gallery & Updates. Get best quality of actress images and videos. Buy ads: https://telega.io/c/tamilactress_in

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Grade A+ metrics look normal cleanliness index
data from 2026-10-15
Subscribers
5,971
Median views
1,076
ERR
18%
Posts sampled
40

Data from 2026-10-15 — 23 days old.

Assessment summary

Gallery of glossy photos of South Indian actresses: almost the entire feed is photos without captions, video is less than a tenth, and the channel is more than six years old.

A post is seen by a smaller share of subscribers than in most similar channels in the catalog: ERR 18% vs median 31.5%, and median views fell by a third — from 1511 to 1076 over a month and a half. The last post was published 15 days ago at 0.3 posts per day, meaning the feed is idle, so placement is marked as questionable.

About the channel

Channel-gallery of South Indian actresses: glossy studio portraits in saris and evening outfits, shots from the stage and social events. Almost the entire feed is photos (92%), video — 8%; there are no captions under the images, and the channel description is in English. The channel is more than six years old.

In the catalog, next to it are @kajal_aggarwal_official, @aesthetic_room58, and @beauty_fact. By subscribers, it is smaller than @kajal_aggarwal_official and @beauty_fact, but larger than @aesthetic_room58. The share of subscribers who see a post is higher than @beauty_fact's (18.0% vs 15.7%), but lower than @kajal_aggarwal_official's and @aesthetic_room58's.

What it publishes:

  • Studio portraits: actresses in saris and evening dresses against a solid background.
  • Event shots: photos from the stage and dance performances.

Posts are published mainly at night (90%) and on weekdays (72%). There are no reposts from other channels or ads in the sample. By subscriber count, the channel is in the middle of the “Leisure and Entertainment” niche. The feed is a selection of images without text, without ads, and without reposts.

By subscribers, it ranks #21 of 27 channels in the Recreation & Entertainment niche of the catalog.

What to pay attention to

Some messages deleted: ≈50% of numbers missing

There are many gaps in the numbering of the channel's latest messages — some of them have been deleted. Message numbers are counted, not publications: each photo in an album has its own number. Deleted posts are not visible, so the remaining ones allow only a partial assessment of the channel.

What grade A+ means

The metrics agree with each other: views and reactions are distributed as usual, and almost no signals lower the index.

Compared with similar channels

Compared with 11 Recreation & Entertainment catalog channels whose metrics look normal. They are a similar size: 2,158 to 17,735 subscribers.

ERR (reach) higher than 7 of 11
@tamilactress_in 18%
similar channels median 14.8%
Reactions per 100 views higher than 8 of 11
@tamilactress_in 1.17
similar channels median 0.72

This is not a niche norm: only catalog channels are included. A high ERR is not always a plus: if the other metrics do not support it, the index goes down.

Dynamics and anomalies

Scroll horizontally to see the full charts.

Views by post

The latest 40 posts with views, from May 17 to Sep 30. The dashed line is the median (1,076).

02.1K4.2KMay 17: 911 viewsMay 18: 931 viewsMay 19: 892 viewsMay 20: 869 viewsMay 21: 871 viewsMay 22: 845 viewsMay 23: 911 viewsMay 24: 962 viewsMay 25: 1,030 viewsMay 26: 987 viewsMay 27: 966 viewsMay 28: 951 viewsMay 29: 950 viewsMay 30: 1,001 viewsMay 31: 1,056 viewsJun 1: 1,093 viewsJun 2: 1,132 viewsJun 3: 1,168 viewsJun 4: 1,188 viewsJun 5: 1,175 viewsJun 6: 1,176 viewsJun 7: 1,196 viewsJun 8: 1,258 viewsJun 9: 1,358 viewsJun 10: 1,834 viewsJun 11: 1,780 viewsJun 12: 2,515 viewsJun 20: 3,049 viewsJun 21: 3,423 viewsJun 22: 4,228 viewsAug 4: 1,880 viewsAug 6: 2,399 viewsSep 1: 1,417 viewsSep 2: 1,599 viewsSep 3: 1,742 viewsSep 22: 833 viewsSep 25: 729 viewsSep 26: 905 viewsSep 27: 1,060 viewsSep 30: 984 views May 17Sep 30
  • post views
  • median 1,076

Maximum: 4,228 views. Data as of Oct 15.

What could not be calculated

View build-up not assessed: there were no posts newer than one day.

Cleanliness-index history

3 checks for this channel.

050100Sep 2: index 50, grade DSep 2Oct 5: index 94, grade A+Oct 5Oct 15: index 95, grade A+Oct 15

Advertising outlook

Advertising placement: questionable.

The channel has gone quiet — ask the owner when the next post is due.

Not enough posts for a forecast.

Reach of advertising posts

No advertising posts among the latest 40.

Buy advertising

Telegram ads are sold on these marketplaces — they have channel catalogs, prices, and checkout.

We don't sell ads. This channel may not be listed there.

Affiliate links: we get a commission. It never affects the channel's score.

Questions about @tamilactress_in

What does the channel purity index show?

The purity index is 95 out of 100, grade A+, level “metrics are normal”: no notable deviations were found in the check.

How many people see a post in this channel?

Median views are 1076 with 5971 subscribers, ERR about 18%. This is a smaller share of subscribers than in most similar channels in the catalog.

Should the channel be considered for advertising?

Placement is marked as questionable: the channel has not published posts for a long time — the last one was 15 days ago, with a frequency of about 0.3 posts per day.

How the assessment was produced

Data source
Public Telegram data: posts, views, reactions, and channel metadata.
Date or snapshot
2026-10-15
Sample
The latest 40 public posts available at check time.
Calculation method
TG Inspector calculates metrics from the saved snapshot and combines independent signals into a deterministic 0–100 cleanliness index.
Factual result
The @tamilactress_in assessment dated 2026-10-15 uses 40 recent public posts. At that snapshot the channel had 5,971 subscribers, median post views were 1,076, ERR was 18.0%, and the cleanliness index was 95/100.
Limitations
This is a probabilistic assessment based on public data: it describes metrics, not the owner's actions, and is not a real-time measurement.

This automated assessment is probabilistic: it describes the channel's public metrics, not its owner's actions. The index and grade are calculated from public data and are not changed on request. Channel owners can request removal of the page — t.me/obsessed_with_ai.