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Dr. Lucky Tran engagement report

@luckytran - 73K followers on X

Measured over 30 original posts from a 30-day window, last computed on September 13, 2026.

Engagement

Middle of its size range
Per follower
0.416%
of 73K followers
Per impression
8.07%
3.8K views on a typical post
Reach
5.15%
of its followers see a post
Typical post
303
interactions (median)
Saved
0.2%
8 bookmarks on a typical post
Posting rate
1.93/day
active 50% of days
Peak time
17:00 UTC
Tuesday

A typical post picks up 303 interactions against 73K followers, an engagement rate of 0.416%. Measured over 30 original posts, its engagement rate beats 74% of 20,444 tracked accounts of a similar size, which puts it in the middle of its size range rather than at either end. Posts are seen about 3.8K times each, and 8.07% of those impressions turn into an interaction. That is about 5.16% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 1.9 posts a day over the last 30 days, with activity on roughly 50% of days. Most posts go out around 17:00 UTC, and Tuesday is the busiest day of the week. Of the 30 posts sampled, 33% carry an image or video, 27% are part of a thread and 10% link out. The account's strongest tracked post pulled 236K interactions, about 779x its own typical post.

Measured over 30 original posts from a 30-day window, last computed on September 13, 2026.

Compared with accounts its own size

Dr. Lucky Tran's engagement rate beats 74% of the tracked X accounts closest to it in follower count (20,444 accounts, accounts of similar size (decile 6 of 10)). A percentile is spread evenly by construction, so 50 really is the middle of that group and 90 really is its top tenth.

On engagement per impression rather than per follower it beats 93% of the same group. When those two numbers disagree, the gap is about how far its posts travel rather than how people react to them.

Where this sits in the catalog

At 0.416%, Dr. Lucky Tran sits above the 50th percentile of the 205,261 accounts in this comparison. That places it in the above the median band, which runs 0.143% to 0.678%.

p100.004%
p250.024%
p50 (median)0.143%
p750.678%
p902.55%
p9982.4%
Engagement rate as a share of followers, across the 205,261 accounts we have scanned enough to measure. The axis is logarithmic, because the top and bottom of this population are about 22,894 times apart and a linear axis would flatten everything below the median into a single point.
Show the percentile table
Engagement rate percentiles
PercentileEngagement rate
10th percentile0.004%
25th percentile0.024%
50th percentile0.143%
75th percentile0.678%
90th percentile2.55%
99th percentile82.4%

This ruler is the whole measured catalog, not a size-matched group: it shows where the raw rate falls across every account we can measure, all of which are large. For a like-for-like comparison, read the size-band percentile above instead. See how the bands are built

Posting timing

This account posts most often around 17:00 UTC, and Tuesday is its busiest day of the week. The bars below are the catalog-wide pattern, with this account's own busiest slot marked. They do not show how this account performs at each hour: we keep one aggregate per account, not one per hour, so that measurement does not exist in our data.

Engagement by hour posted, UTCTwenty-four bars, one per UTC hour. Each bar shows how posts published in that hour compare with their own authors' median engagement. Bars above the centre line ran higher than the median, bars below ran lower. A marker flags Busiest hour: 17:00 UTC.
0003060912151821
Above the authors' own mediansBelowScale: plus or minus 111%Busiest hour: 17:00 UTC
Show engagement by hour posted, utc as a table
Engagement by hour posted, UTC
Hour (UTC)Vs author medianPosts
00:00 UTC-1%89K
01:00 UTC-2%90K
02:00 UTC-3%88K
03:00 UTC-4%94K
04:00 UTC-5%76K
05:00 UTC-4%75K
06:00 UTC-5%86K
07:00 UTC-5%93K
08:00 UTC-4%108K
09:00 UTC-4%124K
10:00 UTC-3%129K
11:00 UTC-3%141K
12:00 UTC-3%154K
13:00 UTC-3%167K
14:00 UTC-4%173K
15:00 UTC-2%176K
16:00 UTC-3%171K
17:00 UTC-3%159K
18:00 UTC-2%149K
19:00 UTC-2%141K
20:00 UTC-1%131K
21:00 UTC0%116K
22:00 UTC-2%100K
23:00 UTC-1%90K
Engagement by day of weekSeven bars, one per weekday, Sunday first. Each bar shows how posts published on that day compare with their own authors' median engagement. Bars above the centre line ran higher than the median, bars below ran lower. A marker flags Busiest day: Tuesday.
SunMonTueWedThuFriSat
Above the authors' own mediansBelowScale: plus or minus 111%Busiest day: Tuesday
Show engagement by day of week as a table
Engagement by day of week
DayVs author medianPosts
Sunday+5%393K
Monday+1%483K
Tuesday-2%520K
Wednesday-3%472K
Thursday-2%430K
Friday-3%447K
Saturday+2%393K
See what moves engagement across the whole catalogWhat counts as a good engagement rate at this size

Formats this account uses

Its own posting mix on the left, and what each of those formats does across every account we track on the right. Only formats where the effect clears our publish test appear here, so an empty row is a format we could not measure rather than one that does nothing.

This account's posting mix compared with catalog-wide effects
FormatThis accountCatalog effect95% intervalAccounts behind it
Image or video33% of posts+111%+108% to +115%34K
Outbound link10% of posts-41%-42% to -40%32K
Typical length--3%-3% to -2%54K
  • 33% of this account's sampled posts carry an image or video. Across the catalog, posts with an image or video run 111% above the same accounts' other posts.
  • 10% of its posts carry a link off X. Across the catalog, posts with an outbound link run 41% below the same accounts' other posts.
  • Its average post runs 154 characters, which falls in the 80 - 180 characters band. Across the catalog, posts of 80 to 180 characters run 3% below the same accounts' other posts.

These are catalog-wide differences applied to this account's own posting mix, not a measurement of how each format performs for this account specifically. We keep one median per account, not one per format per account, so the second thing is not something this data can tell you.

Best tweets

  • Aug 25, 2026779x their median

    My 7-year-old daughter heard me say that Dolly Parton died, and got visibly very sad. I was surprised she even knew that name. “You know Dolly Parton?” In the sweetest timid voice, she replied: “Well, I don’t _know_ know her. But she sent me books.” 🥹😢😭

    220K15K4115293.0M viewsView on X
  • Aug 26, 2026319x their median

    They are lowering US flags to half-mast for a week, but if the government really wants to pay tribute to Dolly, they should fund education, the arts, and medical research instead of trying to eradicate them.

    82K14K16150432K viewsView on X
  • Aug 30, 202668x their median

    “Why didn’t scientists warn us?” https://t.co/Onc18c1psH

    16K4.2K7242119K viewsView on X
  • Sep 2, 202667x their median

    https://t.co/sXjczEvqcr

    17K3.0K1619117K viewsView on X
  • Aug 26, 202664x their median

    Dolly Parton is credited in at least 37 research papers on the COVID vaccine, including the first phase I trial results published in the New England Journal of Medicine in 2020.

    17K2.2K936170K viewsView on X
  • Sep 8, 202627x their median

    Mamdani released 170K docs revealing that post-9/11 asbestos levels remained dangerous for months, despite officials saying air was safe. As we saw at the start of COVID, officials still treat essential workers as expendable. This is a long-overdue step in the right direction.

    7.0K1.2K211249K viewsView on X
  • Aug 25, 202626x their median

    Do not normalize children dying from measles. Measles was previously eliminated in the US, thanks to vaccines. When children die from measles, it means that adults have catastrophically failed to protect them because they have rejected basic science.

    5.8K1.9K1382347K viewsView on X
  • Aug 25, 20263.7x their median

    There is no such thing as “conservative-based” science. If you are not doing evidence-based science, you are making up fairy tales. https://t.co/lNl8Jpi2J5

    879227537.2K viewsView on X
  • Aug 25, 20263.4x their median

    Dolly Parton helped millions of children learn how to read and saved millions of lives by funding COVID vaccine research. She improved more people’s lives than almost any political leader in office. Her impact will be felt by generations.

    859172226.1K viewsView on X
  • Aug 28, 20261.8x their median

    Measles-linked deaths since RFK Jr became HHS Secretary now surpass those recorded in the previous 20 years combined.

    3481266225.7K viewsView on X

Ranked by total interactions across everything we have tracked for this account, which is a longer history than the 30-day window the rates above use. The multiple compares each post to this account's own median.

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Reading these numbers

A typical post picks up 303 interactions against 73K followers, an engagement rate of 0.416%. Measured over 30 original posts, its engagement rate beats 74% of 20,444 tracked accounts of a similar size, which puts it in the middle of its size range rather than at either end. Posts are seen about 3.8K times each, and 8.07% of those impressions turn into an interaction. That is about 5.16% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 1.9 posts a day over the last 30 days, with activity on roughly 50% of days. Most posts go out around 17:00 UTC, and Tuesday is the busiest day of the week. Of the 30 posts sampled, 33% carry an image or video, 27% are part of a thread and 10% link out. The account's strongest tracked post pulled 236K interactions, about 779x its own typical post.

What is Dr. Lucky Tran's engagement rate on X?
Dr. Lucky Tran (@luckytran) has an engagement rate of 0.416%, based on the median interactions across 30 original posts from the last 30 days against 72,816 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
Is that a good engagement rate?
At 0.416%, Dr. Lucky Tran sits above the 50th percentile of the 205,261 accounts in this comparison. Those comparison accounts are all large ones, because our scanning cadence is weighted towards big accounts, so this is a ranking among peers of similar scale rather than a ranking across X.
Does @luckytran have real engagement?
Its engagement rate beats 74% of the tracked X accounts closest to it in follower count (20,444 accounts), which puts it in the middle of its size range group. Ranking inside a size band matters because engagement rate falls as accounts grow, so a raw rate would mostly re-measure the follower count. It is a starting point for a look at follower quality, not a verdict on it.
When does @luckytran post?
Most posts go out around 17:00 UTC, and Tuesday is its busiest day, at roughly 1.93 posts per day across the measured window.

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