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Morissa Schwartz πŸ“š (Dr. Rissy) engagement report

@MorissaSchwartz - 424K followers on X

Measured over 33 original posts from a 30-day window, last computed on August 30, 2026.

Engagement

Bottom 10% for its size
Per follower
0.001%
of 424K followers
Per impression
0.063%
6.4K views on a typical post
Reach
1.50%
of its followers see a post
Typical post
4
interactions (median)
Saved
0%
0 bookmarks on a typical post
Posting rate
1.63/day
active 33% of days
Peak time
19:00 UTC
Friday

A typical post picks up 4 interactions against 424K followers, an engagement rate of 0.001%. Measured over 33 original posts, its engagement rate beats 8% of 3,917 tracked accounts of a similar size. That is a reason to look at how the audience behaves - reply depth, saves, whether the followers are recent - rather than a conclusion about it on its own. Posts are seen about 6.4K times each, and 0.063% of those impressions turn into an interaction. That is about 1.50% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 1.6 posts a day over the last 30 days, though only 33% of days saw any activity at all. Most posts go out around 19:00 UTC, and Friday is the busiest day of the week. Of the 33 posts sampled, 27% link out. The account's strongest tracked post pulled 1.4K interactions, about 349x its own typical post.

Measured over 33 original posts from a 30-day window, last computed on August 30, 2026. Recurring tag: #legalai.

Compared with accounts its own size

Morissa Schwartz πŸ“š (Dr. Rissy)'s engagement rate beats 8% of the tracked X accounts closest to it in follower count (3,917 accounts, accounts of similar size (decile 7 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 4% 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 0.001%, Morissa Schwartz πŸ“š (Dr. Rissy) sits below the 10th percentile of the 37,856 accounts in this comparison. That places it in the bottom 25% band, which runs below 0.012%.

p100.002%
p250.012%
p50 (median)0.081%
p750.439%
p902.10%
p99155.6%
Engagement rate as a share of followers, across the 37,856 accounts we have scanned enough to measure. The axis is logarithmic, because the top and bottom of this population are about 97,248 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 percentile0.002%
25th percentile0.012%
50th percentile0.081%
75th percentile0.439%
90th percentile2.10%
99th percentile155.6%

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 19:00 UTC, and Friday 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: 19:00 UTC.
0003060912151821
Above the authors' own mediansBelowScale: plus or minus 6%Busiest hour: 19:00 UTC
Show engagement by hour posted, utc as a table
Engagement by hour posted, UTC
Hour (UTC)Vs author medianPosts
00:00 UTC-1%53K
01:00 UTC-2%54K
02:00 UTC-3%52K
03:00 UTC-4%56K
04:00 UTC-6%45K
05:00 UTC-4%43K
06:00 UTC-4%50K
07:00 UTC-5%54K
08:00 UTC-4%63K
09:00 UTC-3%72K
10:00 UTC-2%75K
11:00 UTC-3%82K
12:00 UTC-2%90K
13:00 UTC-2%99K
14:00 UTC-3%102K
15:00 UTC-2%105K
16:00 UTC-4%103K
17:00 UTC-3%95K
18:00 UTC-1%89K
19:00 UTC-2%84K
20:00 UTC-1%78K
21:00 UTC-1%69K
22:00 UTC-2%60K
23:00 UTC-2%54K
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: Friday.
SunMonTueWedThuFriSat
Above the authors' own mediansBelowScale: plus or minus 5%Busiest day: Friday
Show engagement by day of week as a table
Engagement by day of week
DayVs author medianPosts
Sunday+5%239K
Monday0%303K
Tuesday-3%305K
Wednesday-1%259K
Thursday-2%251K
Friday-3%260K
Saturday+3%234K
See what moves engagement across the whole catalogWhat counts as a good engagement rate at this size

Best tweets

  • Aug 26, 2026349x their median

    JUST IN: Small businesses are starting to use handwritten cardboard signs to reassure customers their ads were not generated by AI.

    1.1K7812148120K viewsView on X
  • Aug 28, 2026124x their median

    What’s the saddest novel you’ve ever read? πŸ“š

    122133283135K viewsView on X
  • Feb 21, 2025123x their median

    What if AI isn’t learning to think… but intelligence is learning to use AI? https://t.co/tRe7xaY4vJ

    37733758103K viewsView on X
  • Aug 24, 202624x their median

    Yo who at @AnthropicAI should chat with about a fun marketing / editorial collab? I know y'all are looking for fun stories outside of the AI / coding hype cycle and I have an Alaskan salmon fisherman who's business is crushing it in part thanks to Claude Code.

    70021325K viewsView on X
  • Aug 20, 202620x their median

    Reuters found the guy who Claude tried to bully into letting it put malicious code into an open source project https://t.co/M09BREvIkz

    56191317K viewsView on X
  • Aug 20, 202614x their median

    NEW: Anthropic expects to match or exceed the size of SpaceX's IPO, per sources, which would make it one of the largest-ever IPOs. Discussions ongoing and could change. w/ @BTLipschultz https://t.co/MPwdPHTM2q

    4572219K viewsView on X
  • Aug 20, 20263.0x their median

    San Francisco has spent years trying to recover from the pandemic-era exodus that emptied offices and battered downtown businesses. But now the city has a very different problem: The AI boom is bringing workers, money, and housing demand faster than the market can absorb them. https://t.co/tgrRB5d08y

    632110K viewsView on X
  • Aug 28, 20262.8x their median

    The self-service options we come up with need to be intelligently designed. They need to take into account the human factor. Humans are a diverse group! What is convenient for one person using a self-service system will not necessarily be seen as convenient by another.

    81027.8K viewsView on X
  • Aug 28, 20262.0x their median

    Small-business branding works best when competence has a pulse. Clear offer, real voice, signs of life. Nobody is asking the neighborhood bookstore to cosplay as Amazon.

    61106.7K viewsView on X
  • Aug 25, 20261.8x their median

    AI can draft the email. Whether you should send it while two coffees deep and running on a granola bar is still a human problem.

    60106.2K 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.

Recurring topics

#legalai

The most frequent hashtags in the sampled posts. They describe what this account writes about; they are not a performance signal, and the catalog-wide breakdown on the hub shows how little hashtag count moves.

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Reading these numbers

A typical post picks up 4 interactions against 424K followers, an engagement rate of 0.001%. Measured over 33 original posts, its engagement rate beats 8% of 3,917 tracked accounts of a similar size. That is a reason to look at how the audience behaves - reply depth, saves, whether the followers are recent - rather than a conclusion about it on its own. Posts are seen about 6.4K times each, and 0.063% of those impressions turn into an interaction. That is about 1.50% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 1.6 posts a day over the last 30 days, though only 33% of days saw any activity at all. Most posts go out around 19:00 UTC, and Friday is the busiest day of the week. Of the 33 posts sampled, 27% link out. The account's strongest tracked post pulled 1.4K interactions, about 349x its own typical post.

What is Morissa Schwartz πŸ“š (Dr. Rissy)'s engagement rate on X?
Morissa Schwartz πŸ“š (Dr. Rissy) (@MorissaSchwartz) has an engagement rate of 0.001%, based on the median interactions across 33 original posts from the last 30 days against 423,844 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
Is that a good engagement rate?
At 0.001%, Morissa Schwartz πŸ“š (Dr. Rissy) sits below the 10th percentile of the 37,856 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 @MorissaSchwartz have real engagement?
Its engagement rate beats 8% of the tracked X accounts closest to it in follower count (3,917 accounts), which puts it in the bottom 10% for its size 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 @MorissaSchwartz post?
Most posts go out around 19:00 UTC, and Friday is its busiest day, at roughly 1.63 posts per day across the measured window.

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