# The Monday Penalty: Why Monday Is the Worst Day to Upload to YouTube (60,000-Video Study) > When is the worst day to post on YouTube? We analyzed 60,693 videos across 12 niches. Monday is the worst publishing day overall, with median views 27% below Saturday. Full data, niche breakdown, and the surprising Education exception. - **Published**: 2026-05-04 - **URL**: https://viewskit.com/blog/the-monday-penalty --- **TL;DR** -- We analyzed **60,693 YouTube videos** to figure out the best and worst days of the week to publish. The result is one of the cleanest patterns in the entire dataset: - **Across the full dataset, Monday's median views are 27% below Saturday's.** Monday is the single worst day to upload -- by a wide margin. - **7 out of 12 major niches** name Monday as their worst-performing day. The early-week slump (Mon -> Wed -> Tue) is the most consistent pattern in the data. - The penalty for publishing on the wrong day ranges from **−22% to −63%** in median views, niche to niche. - The single exception that proves the rule: **Education videos peak on Tuesday** -- when the rest of YouTube is in its dead zone. - The "best day" advice is real but smaller (5-30% upside). The **"avoid Monday" advice is the more reliable lever**. If you only read one thing: **don't publish on Monday unless you make educational content.** Your algorithm-discovery window will close before the weekend audience shows up, and the math says you'll quietly lose a quarter to a half of your views. The full table, the methodology, the niche-by-niche breakdown, and the FAQ are below. --- ## Why this study, and why now Every "best day to post on YouTube" article you've ever read has the same problem: it's based on tiny samples, anecdotes, or numbers from a single channel that may not generalize to yours. We pulled a much larger dataset -- **60,693 videos, spanning 2006 to mid-2026, across the 15 main YouTube content categories** -- to see whether timing actually matters at scale, and if so, whether the advice is the same in every niche. The short answer: timing matters more than most creators think, but **the best-known recommendations ("Saturday is best", "post in the morning") are weaker, less consistent versions of a much more reliable rule** -- *don't publish on Monday*. The "avoid the bad day" floor turns out to be more dependable than the "find the magic day" ceiling. This article is the worst-day-to-upload-to-YouTube finding, broken down by niche and validated against an aggregate of the entire dataset. ## The headline finding: Monday is YouTube's dead day Across all 60,693 videos in the dataset, here's the median views by day-of-week (UTC): | Day | Sample (n) | Median views | vs Saturday | | --- | ---: | ---: | ---: | | **Monday** | 8,188 | **1.68M** | **−27.2%** | | Wednesday | 8,375 | 1.87M | −19.0% | | Tuesday | 8,583 | 1.94M | −15.9% | | Friday | 9,893 | 2.03M | −11.8% | | Thursday | 8,769 | 2.04M | −11.2% | | Sunday | 7,618 | 2.11M | −8.4% | | **Saturday** | 9,267 | **2.30M** | -- | Monday is decisively the worst. There is no other single day in the week with a 27% gap to Saturday -- the next-worst day, Wednesday, sits at -19%. **Tuesday and Wednesday form a secondary "early-week slump" tier**, but Monday is in a class of its own. You'll see the per-niche table further down -- Monday is the worst day in **7 out of 12 major niches**, Tuesday is worst in 3, Wednesday in 1, and Sunday in 1. No niche has its worst day on Thursday, Friday, Saturday, or -- naturally -- its own peak. This isn't a marginal effect you can hand-wave away. It's a **predictable, niche-spanning, statistically clean pattern** -- and it's the most consistent timing finding we got out of the entire dataset. ## The numbers, niche by niche We grouped every video by its category and the day-of-week it was published, then took the **median** views per cell (medians, not averages -- view counts are heavy-tailed and a single Mr Beast video would drag any mean off a cliff). Cells with fewer than 30 videos were dropped. Look at the "Worst day" column. **Seven of twelve niches name Monday.** Three name Tuesday. One names Wednesday (Entertainment). One names Sunday (News & Politics, where the audience is at brunch, not the news). Saturday and Friday sweep the "Best day" column for almost everything except Education and Howto & Style. Gaming is the surprising outlier the other way: it's the only major niche where **Monday is the *best* day** (median 2.04M, vs Tuesday's 1.60M -- a 21.5% gap). Probably reflects gaming's overlap with weekend-online and Monday-after-school audiences. Even Gaming has an early-week dead day, though -- it just happens to be Tuesday instead of Monday. ## Why does the Monday Penalty exist? We can't prove causation from observational data, but two boring mechanisms each predict exactly what we observe -- and they reinforce each other: ### 1. The 72-hour algorithm-discovery window YouTube's recommendation system aggressively surfaces a brand-new video for **roughly 48 to 72 hours** after publish. After that, the velocity needed to keep getting recommended drops sharply. This means the **first three days are 80%+ of a video's lifetime impressions**, and what those three days look like depends on when you start the clock. - Publish **Monday** -> discovery window closes **Wednesday night**. Your video tries to find an audience during the lowest-watch window of the entire week. - Publish **Friday** -> discovery window closes **Monday morning**. Your video has all of Friday night, all of Saturday, all of Sunday -- peak watch hours. That alone should produce something like the pattern we see: the *worst* publish day is the one whose 72-hour window contains the *fewest* hours of high-watch-time, and those days cluster early in the week. ### 2. Bimodal viewer watch-time Casual viewers -- i.e. most viewers -- watch most heavily **Friday evening through Sunday evening**. This is true across age groups, regions, and platforms. The exception is a small slice of viewers who watch in weekday-afternoon-and-commute windows: students taking breaks, professionals decompressing on the bus, parents on a 15-minute lunch. Most niches' content is built for the casual weekend viewer, not the weekday-commute viewer. So a Monday upload is **out of phase** with its audience: by the time the weekend arrives and viewers have time to binge, the video has already aged out of the recommendation feed. You don't have to pick between explanations one and two. Both point to the same advice: **publish so your first 72 hours overlap with a Friday-Sunday window**. ## The Education exception that explains everything Look at the Education row again, carefully: > Education's **worst** day is Monday (-45.6% penalty). Education's **best** day is **Tuesday** -- a day that's a dead zone for most other niches. That's not a typo or a noisy median. The sample is huge (n=1,027 on Monday, n=1,054 on Tuesday). Educational viewers behave the opposite of everyone else: they watch on **weekday afternoons and evenings**, during work breaks, on commutes, during study sessions. They don't binge tutorials Saturday night. The Education exception is actually the *strongest* evidence that the Monday Penalty is a real audience-watch-time effect, not a random correlation. If publishing day didn't matter, no niche would have a 45% gap between days. If it mattered for arbitrary reasons, Education's pattern would look like everyone else's. Instead, every entertainment-adjacent niche peaks on the weekend, every educational/utility niche peaks midweek, and the dead zone for both is exactly when their respective audiences are unavailable. Note something subtle: **Education's worst day is also Monday**. The Monday Penalty is so severe that even Education -- the one niche with a midweek peak -- still hates Mondays. That's how dominant the effect is. If you make educational content, **ignore most of the rest of this article**. Tuesday is your strongest publish day. Monday is your worst (along with everyone else's). The weekend is mediocre. If you make any other long-form content -- Sports, Music, Comedy, Howto, Tech, Pets, Vlogs, Film -- the Monday Penalty applies to you, and the answer is **publish Friday, Saturday, or Sunday**, depending on which one your sub-niche skews toward. ## Niche-by-niche playbook Here are the most defensible publishing-day recommendations from the data, ranked by how confident the per-niche sample lets us be. ### Sports -- publish Saturday, never Tuesday Sample: 3,245 Sports videos. Worst day Tuesday loses 57.6% versus Saturday. Mon-Sat-Sun are all strong (medians 2.0M-2.95M); Tue-Wed-Thu form the dead zone. Sports is one of the three niches where Tuesday is actually worse than Monday -- likely because Monday Night Football and similar Monday sports events drive Monday traffic on YouTube. **Practical schedule**: publish Friday afternoon UTC for North American + European viewers, or Saturday morning UTC for Asian + Australian viewers. ### Comedy -- Saturday wins, Tuesday is poison Sample: 3,217 Comedy videos. Saturday median 5.5M; Tuesday median 3.2M. The Tuesday penalty is 42.8%. Friday is also strong (n=556). The takeaway is dead simple: **post comedy when people have free time to laugh**, which is the weekend. ### Music -- Friday is non-negotiable Sample: 3,802 Music videos. Friday median 9.5M views; Monday median 4.5M. **53% gap.** Music is the most weekday-skewed of any "entertainment" niche we measured (it actually loses 32% on weekend uploads), but Friday is its peak -- likely because the music industry's Release Friday convention has trained both algorithms and listeners to expect new music there. **Don't fight the format**: ship music videos Thursday night UTC so they hit Friday morning local time in your biggest market. ### Howto & Style -- Sunday peaks, Monday dies Sample: 3,953 Howto videos. Sunday median 3.0M; Monday median 1.5M. The Monday Penalty is 48.4% in this niche -- one of the largest. Practically speaking, **publish Saturday afternoon UTC so your video lives through the entire Sunday browsing window**. ### Education -- Tuesday, every time Sample: 5,996 Education videos. Tuesday median 2.9M; Monday median 1.6M. The pattern holds even when we cut the data by sub-topic (language learning, programming tutorials, history explainers). **Educational creators**: publish Monday night UTC to land at the top of Tuesday morning feeds. Avoid Sunday and Monday. ### Gaming -- uniquely Monday-friendly Sample: 6,404 Gaming videos. Gaming is the only niche where **Monday is the best day** (median 2.0M), narrowly edging Saturday. The worst day is Tuesday (1.6M median, 21.5% penalty). This probably reflects gaming's audience overlap with weekend-online and Monday-after-school viewers. Gaming has the **smallest worst-day penalty** of any niche we measured, but it still has one. **Practical**: post Sunday night UTC or Monday morning UTC; avoid Tuesday-Wednesday. ### Pets & Animals -- Friday-and-weekend Sample: 3,560 Pets videos. Friday median 1.0M; Monday median 611k. The pattern looks identical to Music's -- Friday peak, weekend hold, Monday cliff. ### Science & Technology, People & Blogs, Film & Animation, Entertainment These four niches all show the textbook Monday Penalty: weekday floor on Mon-Tue or Mon-Wed, weekend peak on Sat or Fri. The penalties are all 35-63% in median views. **Publish toward the weekend.** ## "But what about my timezone?" A reader's first instinct is: *aren't you just measuring American daytime?* Reasonable question. Three answers: 1. We compute day-of-week in **UTC**, not in any single creator's local time. So "Monday in UTC" maps to Monday in Europe, Africa, India, and most of East Asia -- Pacific Time creators don't get a free pass by uploading at 11pm Sunday local. 2. The dataset is **globally distributed**. We didn't filter to English-language or US-region content; the signal survives across cultures and languages. 3. The mechanism we proposed (algorithm discovery window + bimodal viewer watch time) is local-time-relative for the *viewer*, not for the creator. Whether you upload at 9am or 9pm, your **first 72 hours need to contain a weekend** for most niches. The day-of-week effect is downstream of that. Translating the "publish Saturday" advice into your local time is a one-line calculation: **upload between 8pm Friday and 4pm Saturday in your largest audience's timezone**. For most North American creators that's a Friday-evening upload. For European creators, Saturday morning. ViewsKit's [publishing calendar](https://viewskit.com/calendar) lets you drag videos onto the right day directly so you stop guessing. ## "Does this hold for small channels and Shorts?" Two important notes. **Our dataset is biased toward popular videos.** We pulled videos via the YouTube Data API ranked by view count, which means the medians here describe the upper half of each niche, not unknown creators. The Monday Penalty may be **even worse for small channels**, where the algorithm-boost window is more critical. We can't prove that without a sub-1k-channel-specific dataset, but the mechanism strongly predicts it. **This study is about long-form videos**, not Shorts. The data does include Shorts (videos ≤ 60 seconds appear in our duration analysis), but Shorts have a fundamentally different recommendation lifecycle -- they're surfaced for weeks, not days, and the day-of-publish matters far less. **If you make Shorts, the Monday Penalty does not apply to you**. Pick your day for batch-production convenience and ignore this whole article. ## What you should actually do this week If you're going to take three things from this: 1. **Stop publishing on Monday** unless you make Gaming content. The penalty across niches is 22-63% in median views for the worst day -- and seven of twelve niches put Monday at the bottom. There is no other single calendar decision that moves your numbers this much. 2. **Pick a niche-appropriate weekend day:** - **Sports / Comedy / Sci-Tech / Entertainment / Film:** Saturday. - **Music / People & Blogs / Pets & Animals:** Friday. - **Howto & Style:** Sunday. - **Education:** Tuesday (your exception). - **Gaming:** Sunday night or Monday morning. 3. **Front-load your editing schedule.** If your video is shipping Saturday, it needs to be locked Friday. Try to avoid the trap of "I'll cut it Sunday and post Monday" -- that converts a weekend hit into a Monday flop, and the data says that costs you 30-50% of expected views. The third bullet is the one most creators botch, because production schedules slide the same direction every time: rightward, into Monday. Treat publishing day the way TV networks treat it -- fixed, non-negotiable, and the editing schedule serves the slot. ## A note on the tools side of this [ViewsKit](https://viewskit.com) is a **YouTube production workspace** we built specifically for solo long-form creators who want to ship more without juggling Notion, Google Docs, Canva, ChatGPT, and a publishing calendar across eight different tabs. The [calendar](https://viewskit.com/calendar) lets you slot projects onto specific days and drag-to-reschedule when production slips. The [Outlier Radar](https://viewskit.com/radar) surfaces what's actually working in your niche right now -- including which days the recent breakouts in your category were published -- so you can see whether the patterns in this article still hold for *your specific* sub-niche this month. ## Frequently asked questions ### What is the worst day to upload to YouTube? Across 60,693 videos, the worst day at the aggregate level is **Monday**, with median views 27.2% below Saturday's. In 7 of 12 major niches, Monday is the single worst publishing day. Wednesday and Tuesday form a secondary "dead zone" tier (-19% and -16% vs Saturday respectively). The only major niches where the worst day isn't Monday or Tuesday are Entertainment (Wednesday) and News & Politics (Sunday). ### What is the best day to upload to YouTube? The best day depends on your niche. **Saturday** is the best day for Sports, Comedy, Entertainment, Science & Technology, and Film & Animation. **Friday** is best for Music, People & Blogs, and Pets & Animals. **Sunday** is best for Howto & Style. **Tuesday** is best for Education (uniquely). **Monday or Sunday night** for Gaming. The aggregate "winner" across all niches is Saturday, but the niche-specific answer is more useful. ### Is uploading on Monday really that bad? Yes. The aggregate Monday penalty is 27% in median views compared to Saturday -- bigger than the effect of any single title or thumbnail tactic we measured. For Music, Howto & Style, and Film & Animation specifically, the Monday penalty is over 48% -- meaning Monday uploads earn roughly half what the same content would on its best day. ### Does the day of the week really matter that much? Yes. The gap between best and worst days within a single niche is 22-63% in median views -- bigger than the effect of most title or thumbnail tactics we measured. Day of week is one of the highest-leverage decisions a creator makes. It is also one of the easiest to fix. ### Does this study apply to YouTube Shorts? No. Shorts have a different recommendation lifecycle -- they're surfaced over weeks rather than days, and day-of-publish matters far less. This study is about long-form (videos longer than 60 seconds). ### Is this affected by my timezone? We computed day-of-week in UTC, not local time. The pattern survives across global content. What matters more than the creator's local time is whether the video's first **72-hour algorithm-discovery window** overlaps with the weekend. For most non-Education niches, that means uploading by Friday afternoon UTC at the latest. ### Is "Saturday is the best day" the same as "avoid Monday"? They're related but not equivalent. The "Saturday is best" advice gives a 5-30% upside over a random weekday upload. The "avoid Monday" advice avoids a 27-63% downside. The downside is bigger and more consistent across niches, so we'd rather creators internalize the "avoid the bad day" rule first. ### How big does my channel need to be for this to apply? Our dataset is biased toward popular videos (we sampled by view count), so it directly describes the upper half of each niche. The Monday Penalty probably applies even more strongly to small channels -- they need every bit of algorithm boost they can get during the first 72 hours, and a Monday upload puts that window in the worst possible position. We can't prove it without a small-channel-specific study, but the mechanism predicts it. ### What about live streams and premieres? Excluded from this study. Streams have their own audience-time logic (mostly synchronous, mostly evening, mostly weekend) which we'll cover in a separate analysis. ## Methodology - **Dataset**: 60,693 YouTube videos collected via the YouTube Data API v3, biased toward popular videos (`order=viewCount`). The dataset describes the upper half of each niche, not the long tail. - **Date range**: April 2006 through May 2026, with most density in 2018-2025. - **Categories**: All 15 standard YouTube content categories, with the 12 largest reported in the table above. - **Metric**: **Median views per (niche x day-of-week) cell.** Medians chosen because YouTube view counts are heavy-tailed and any mean would be dominated by a handful of viral hits. - **Sample threshold**: cells with fewer than 30 videos were dropped from the per-niche table. The smallest cell that made it in was Pets & Animals/Mon at n=390. Most cells have n >= 400. - **Day-of-week**: computed from each video's `publishedAt` timestamp in UTC. We did not localize per creator. The findings survive timezone discussion (see FAQ). - **Reproducibility**: the analysis is one Python script (`02_analyze.py` in the project repo) reading a single CSV. Anyone can rerun it on a different sample and the script will produce the same charts. ### What this study cannot tell you - **Causation**: we cannot prove that publishing on Monday *caused* the lower views, only that videos published on Monday have systematically lower medians. A confounding hypothesis (e.g. "creators who upload on Monday are also creators who skipped a thumbnail rev") cannot be ruled out from observational data alone. - **Hour-of-day effects**: this article is about day-of-week. Hour-of-day matters too, and the patterns are different per niche. We have a separate analysis on that. - **Per-channel variation**: aggregate medians describe a niche, not your specific audience. If your channel has a heavily weekday-watching audience (e.g. an office-productivity channel), your local pattern may invert. ## Wrapping up The cleanest single takeaway from 60,693 videos of YouTube data is this: **most creators are systematically choosing the worst possible upload day** by defaulting to "ship it when it's done" -- which usually means Sunday-night-into-Monday. That habit costs them 30-50% of their median views in most niches, and there's nothing wrong with the videos themselves. Move the publish slot. Front-load your editing schedule. Treat publishing day the way TV networks treat it -- fixed, sacred, served by everything else in the production chain. If you want the production tooling that makes it easy to actually plan around this, **[ViewsKit](https://viewskit.com)** is what we built for it. We'll publish the next finding soon -- *the four title tactics that have died in the last five years*. Sign up for updates if you want it in your inbox. --- *Last updated: 2026-05-04. This study will be re-run quarterly as the dataset grows. The pattern has been stable across the 2018-2020 and 2022-2025 sub-samples, so we don't expect the headline finding to change -- but we'll flag any drift in the next revision.* --- - [All articles](https://viewskit.com/blog)