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NORML engagement report

@NORML - 309K followers on X

Measured over 32 original posts from a 30-day window, last computed on October 16, 2026.

Engagement

Middle of its size range
Per follower
0.018%
of 309K followers
Per impression
2.25%
2.5K views on a typical post
Reach
0.81%
of its followers see a post
Typical post
56
interactions (median)
Saved
0.04%
1 bookmarks on a typical post
Posting rate
2.17/day
active 67% of days
Peak time
18:00 UTC
Thursday

A typical post picks up 56 interactions against 309K followers, an engagement rate of 0.018%. Measured over 32 original posts, its engagement rate beats 31% 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 2.5K times each, and 2.25% of those impressions turn into an interaction. That is about 0.811% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 2.2 posts a day over the last 30 days, with activity on roughly 67% of days. Most posts go out around 18:00 UTC, and Thursday is the busiest day of the week. Of the 32 posts sampled, 94% carry an image or video, 91% are part of a thread and 9% link out. The account's strongest tracked post pulled 259 interactions, about 4.6x its own typical post.

Measured over 32 original posts from a 30-day window, last computed on October 16, 2026. Recurring tag: #norml.

Compared with accounts its own size

NORML's engagement rate beats 31% of the tracked X accounts closest to it in follower count (20,444 accounts, accounts of similar size (decile 9 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 66% 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 0.018%, NORML sits above the 10th percentile of the 205,582 accounts in this comparison. That places it in the bottom 25% band, which runs below 0.024%.

p100.004%
p250.024%
p50 (median)0.143%
p750.679%
p902.56%
p9982.4%
Engagement rate as a share of followers, across the 205,582 accounts we have scanned enough to measure. The axis is logarithmic, because the top and bottom of this population are about 22,893 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 percentile0.679%
90th percentile2.56%
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 18:00 UTC, and Thursday 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: 18:00 UTC.
0003060912151821
Above the authors' own mediansBelowScale: plus or minus 111%Busiest hour: 18:00 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: Thursday.
SunMonTueWedThuFriSat
Above the authors' own mediansBelowScale: plus or minus 111%Busiest day: Thursday
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 video94% of posts+111%+108% to +115%34K
Outbound link9% of posts-41%-42% to -40%32K
Typical length-+15%+14% to +16%32K
  • 94% 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.
  • 9% 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 299 characters, which falls in the over 280 characters band. Across the catalog, posts over 280 characters run 15% above 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

  • Jul 22, 20264.6x their median

    🌿 Because urine and hair analyses can detect past cannabis use days, weeks, or even months after any impairing effects have ended, they tell employers nothing about whether an applicant is capable of doing the job safely and effectively. Studies consistently show that employees who consume cannabis during their off-hours perform no differently and pose no greater safety risk than their coworkers. šŸ”— Read more: https://t.co/NathV9Jqnc

    20639866.9K viewsView on X
  • Sep 22, 20264.4x their median

    🚨 If marijuana is legal in your state, prohibitionists are coming to target your freedom. And if it's not, they will spend millions to keep you a criminal. Are you ready to fight back? šŸ”— Link to full story in first comment. https://t.co/b3uHR1E8Nn

    170512175.7K viewsView on X
  • Aug 25, 20264.4x their median

    🚨 92% of marijuana-related arrests in 2025 were for minor possession, not sales, not manufacturing, not trafficking. The latest FBI data show how many people continue to pay the price for America's outdated laws. šŸ”— Link to full story in first comment. https://t.co/iJotvehKF1

    163641755.5K viewsView on X
  • Sep 18, 20263.6x their median

    šŸ“° The New York Times came for weed with recycled reefer madness and false claims. NORML's Paul Armentano came back with receipts. His latest op-ed tears the paper's case apart, puts the facts back on the record, and exposes the glaring double standard it saves for alcohol. šŸ”— Link to full story in first comment.

    14743634.2K viewsView on X
  • Jul 31, 20263.2x their median

    šŸš“šŸ’Ø The Court ruled that cops need more than the claim that they "smelled weed" to justify searching a vehicle without a warrant. Michigan joins a growing number of legalization states rejecting odor alone as justification for warrantless vehicle searches. šŸ”— Read more: https://t.co/iASRdMppPZ

    13830726.1K viewsView on X
  • Aug 20, 20263.1x their median

    🌿 More than 9 in 10 healthcare professionals support legal medical cannabis. Marijuana's Schedule I status directly contradicts what scientists, clinicians, and the federal government's own health experts have concluded. šŸ”— Link to full story in first comment. https://t.co/phuEO6eDsy

    12534765.0K viewsView on X
  • Jul 28, 20263.0x their median

    😱 Prohibitionists have spent years insisting that legalizing marijuana for adults would lead to more young people using it. The latest federal data tell a very different story: Teen past-month use fell 22% and past-year use fell 25%. Looks like someone was wrong. šŸ”— Read more: https://t.co/lxCKkcF8Xe

    12039646.8K viewsView on X
  • Oct 13, 20262.9x their median

    šŸ“‰ Marijuana use by young people has fallen in every state that has enacted laws legalizing and regulating the adult-use cannabis market. Study after study has found that cannabis policy reforms are not linked to increased rates of cannabis use among adolescents. šŸ”— Link to story in comments.

    111381042.9K viewsView on X
  • Sep 24, 20262.8x their median

    šŸ“Š Republicans were more likely than Democrats to describe marijuana as dangerous or a "gateway" drug. What do you think is driving the divide? The facts about cannabis don't change based on political affiliation, but perceptions clearly do. šŸ”— Link to full story in first comment.

    118211714.2K viewsView on X
  • Oct 6, 20262.8x their median

    🌿 More than 6,000 cancer patients shared how they felt after gaining access to medical cannabis through their state's program. Many reported improvements in appetite, sleep, pain, nausea, anxiety, and depression. That relief can make it possible to share a meal, rest, and be present with the people they love. šŸ”— Link to full story in first comment.

    11034753.6K 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

#norml

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 56 interactions against 309K followers, an engagement rate of 0.018%. Measured over 32 original posts, its engagement rate beats 31% 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 2.5K times each, and 2.25% of those impressions turn into an interaction. That is about 0.811% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 2.2 posts a day over the last 30 days, with activity on roughly 67% of days. Most posts go out around 18:00 UTC, and Thursday is the busiest day of the week. Of the 32 posts sampled, 94% carry an image or video, 91% are part of a thread and 9% link out. The account's strongest tracked post pulled 259 interactions, about 4.6x its own typical post.

What is NORML's engagement rate on X?
NORML (@NORML) has an engagement rate of 0.018%, based on the median interactions across 32 original posts from the last 30 days against 309,138 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
Is that a good engagement rate?
At 0.018%, NORML sits above the 10th percentile of the 205,582 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 @NORML have real engagement?
Its engagement rate beats 31% 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 @NORML post?
Most posts go out around 18:00 UTC, and Thursday is its busiest day, at roughly 2.17 posts per day across the measured window.

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