Health leads YouTube Education trends in November 2026, while engineering’s concentrated reach suggests a practical creator opportunity: Make an invisible process understandable through a concrete demonstration.
November in 20 seconds
- Revenue leader: Health has the highest matched estimate, $26,887, with 17.92M views across 49 videos.
- Supported movement: Science moves from #8 in the broader 60-day ranking to #6 in the current 30-day ranking.
- Creator opportunity: Test an engineering explainer that reveals one mechanism, shows how it responds to a change, and explains its limits.
YouTube Education trends by the numbers
This November 2 snapshot compares topics within Education over a 30-day window. Video counts describe the analysed sample, rather than every YouTube upload. Topics can overlap, so the rows are not separate audiences to add together. The table preserves the current ranking and exact topic names.
| Rank | Trending Topic | Videos | Views | Est. Revenue |
|---|---|---|---|---|
| 1 | health | 49 | 17,924,375 | $26,887 |
| 2 | engineering | 6 | 16,635,585 | $24,953 |
| 3 | software development | 16 | 14,720,274 | $22,080 |
| 4 | networking technology | 1 | 13,622,851 | $20,434 |
| 5 | education | 87 | 12,539,949 | $18,810 |
| 6 | science | 12 | 11,245,433 | $16,868 |
| 7 | mathematics | 7 | 9,756,967 | $14,635 |
| 8 | physics | 8 | 8,721,365 | $13,082 |
| 9 | public safety | 17 | 7,177,270 | $10,766 |
| 10 | artificial intelligence | 39 | 6,518,791 | $9,778 |
Don’t bet your next YouTube video on old data
This report is a snapshot. Attention keeps moving. Check what’s getting views right now before you choose what to create next.
See the Latest YouTube TrendsThe revenue estimates are consistent with approximately $1.50 per 1,000 views across all ten topics. Their differences therefore reflect reach within a shared model, rather than different earning rates. They are not verified creator earnings. YouTube’s explanation of RPM distinguishes creator revenue per thousand views from the price advertisers pay for impressions.
Health holds first while technical subjects fill the ranking
Health remains #1 in both windows. Science makes the clearest positive rank movement among topics present in both lists, rising two places; artificial intelligence slips from #9 to #10. These are comparisons between a current 30-day window and a broader 60-day window collected on the same date, rather than consecutive calendar months.
Seven current topics are absent from the baseline Top 10: Engineering, software development, networking technology, education, mathematics, physics and public safety. They have no baseline ranks from which to calculate a rise. History, medicine, military history, medical conditions, cryptography, psychology and nutrition leave the current Top 10, but that does not establish that their audiences disappeared.
The change in composition puts technical explanation alongside personal health questions. It does not prove growth: Health has 17.92M views in the narrower window against 48.04M in the broader one, and science has 11.25M against 19.27M. The October Education report provides the previous edition’s medicine-led context; its separate snapshot is not this report’s baseline.
Health makes an abstract mechanism personally relevant
Total views
17.92M
Avg views / video
365.80K
Engagement rate
1.46%
Likes
260,858
Comments
19,136
Videos analysed
49
Monetization estimate
$26,887
Health’s lead combines a wider sample with a question viewers can connect to their own lives. Its 1.46% engagement rate means likes divided by views, multiplied by 100; comments are separate. Engineering’s equivalent rate is 1.12%, so its higher average reach does not also make it the stronger topic on every measure.
Dr. Eric Berg’s creatine video opens with a specific audience and time frame: People over fifty wondering what daily use might change over thirty days. It then explains cellular energy through a rechargeable-battery analogy before arranging claimed changes into weekly stages. That sequence gives an unfamiliar biochemical subject an accessible starting point and a reason to continue.
The important distinction is between that narrative structure and evidence for its predictions. The episode describes expected benefits and includes a promotion for the creator’s own supplement. It does not follow a participant through a controlled thirty-day experiment. The reported views show attention to this presentation, rather than confirmation of its health claims.
For an Education creator, the useful lesson is to begin with a recognisable question, then explain the mechanism and the evidence separately. NCCIH’s guidance on evaluating health information calls for research that supports the specific claim and a clear distinction between evidence, opinion and anecdote. A neat timeline can organise an explanation; it cannot supply that evidence.
Engineering earns attention by opening the black box
Total views
16.64M
Avg views / video
2.77M
Engagement rate
1.12%
Likes
186,597
Comments
7,253
Videos analysed
6
Monetization estimate
$24,953
Engineering sits only 1.29M views behind health with a much smaller analysed sample. Its average is a useful concentration signal, but it is not a median or a forecast for a new channel. The stronger creative case comes from a specific choice in the videos: Give viewers access to a process they normally cannot inspect.
Practical Engineering starts its pressure-regulator episode with an everyday mystery. A common device controls fluid pressure reliably, yet most people never notice it. Grady’s promise to reveal the inside turns the introduction into a viewing task. Familiar applications establish relevance before the cutaway exposes a diaphragm, spring, lever and valve.
The explanation advances through changing conditions. When downstream demand changes, the parts respond; a simple obstruction is contrasted with a system that adjusts itself. Later, pressure variation and failure protection complicate the apparently simple solution. The payoff is understanding both how the device works and why engineers accept particular tradeoffs.
Veritasium’s fiber-optics video uses a larger historical arc: An early glass-fiber demonstration leads to a communications problem, obstacles in the material and eventual manufacturing. Both examples make progress concrete. Compared with the health video’s projected personal timeline, the viewer can inspect the object or follow a demonstrable technical bottleneck. The guide to turning trends into original video ideas helps turn that approach into a premise suited to your expertise.
Four videos that turn invisible processes into a story
These examples demonstrate four different ways to organise an explanation: A personal timeline, a physical cutaway, a difficult measurement and a working software system. Their individual view counts describe the examples; the table and metric cards describe topic aggregates. The useful comparison is what each video lets the viewer understand or inspect.
3,389,973 views · Health
What Happens If You Take Creatine Every Day for 30 Days (After Age 50)
Why it matters: A question about thirty days of creatine use after fifty leads into a battery analogy for cellular energy and a week-by-week sequence of claimed benefits. The audience and time frame make the explanation feel immediately personal.
What to watch for: The episode moves from explaining a mechanism to predicting outcomes and promoting a supplement. Those are different evidentiary steps. Study the clear opening question and staged structure while keeping the health claims separate from demonstrated results.
1,931,643 views · Engineering
The Hidden Engineering of Pressure Regulators
Why it matters: Practical Engineering opens an everyday pressure regulator to reveal a mechanical feedback loop. A simple restriction is shown to be insufficient before the cutaway explains how changing pressure moves the diaphragm, lever and valve.
What to watch for: The explanation complicates its own first model through pressure variation and failure protection. The final payoff is a set of engineering tradeoffs, rather than a claim that the device controls every condition perfectly.
7,071,988 views · Science
No device could prove Einstein wrong... until now
Why it matters: Veritasium follows an attempt to compare atomic clocks in Boulder and high on a mountain. The opening gives three practical obstacles: Making an accurate clock, moving it out of the laboratory and connecting signals precisely enough to compare the measurements.
What to watch for: A later call asks whether Einstein is still right. The researchers report no contrary evidence while their analysis continues. Keep the prediction, the observed signal and the unfinished result distinct; the experiment itself carries the story.
166,048 views · Software development
n8n Full Course – Architect Scalable AI Automations from Scratch
Why it matters: The n8n course moves from workflow fundamentals into connected systems. An API example transforms raw results into rows in Google Sheets, giving learners a concrete output to inspect as each stage changes the data.
What to watch for: Later sections introduce retries, fallback messages and monitoring with Telegram alerts. A demonstration using sample execution data shows a failure triggering an alert. That extends the payoff from making a workflow run to noticing when it goes wrong.
The clock example also shows why a strong question need not end in a dramatic reversal. The team reports no evidence against Einstein while analysis continues. NIST has previously measured height-related differences in clock rates. The episode’s tension comes from testing that prediction more precisely, and its honest partial answer is more informative than treating the title as a discovery announcement.
Across the examples, each stage changes what the viewer can judge: A term becomes understandable, a hidden part becomes visible, or a system produces an output. The strongest transferable choice is to make that progress observable. Match the size of the conclusion to the strength of the evidence shown along the way.
What Education creators should prioritise and test
- Prioritise: A clear personal or practical question you can answer with appropriate evidence. Establish the question immediately, define the mechanism with a simple model, and show what supports the final explanation.
- Test: One engineering demonstration with a visible change of state. Plan the before, the intervention and the response, then use the result to explain a limitation or tradeoff rather than adding unrelated facts.
- Approach cautiously: Guaranteed health timelines, one-video averages and broad AI coverage built around claims alone. Check whether you can show the result, qualify the uncertainty and sustain the format within your production resources.
Use the YouTube topic validation guide to check fit with your audience, then compare current Education opportunities in the live trends dashboard before choosing your next explanation.
Viewers want a way to judge what they cannot see
Health and engineering can serve a related need at different distances from everyday life. One concerns the body; the other concerns systems people use without noticing. A relatable starting question makes either accessible, while a visible chain of explanation gives the audience something to evaluate.
That is an interpretation of these formats alongside the ranking, rather than a direct measure of viewer motivation or learning. The broader technical presence suggests room for patient explanations of mechanisms, not simply more jargon. A useful Education video leaves viewers with a clearer model and a fair sense of what remains uncertain.
Track these Education topics in Hype
Use Hype to monitor whether Education signals keep gaining between monthly reports.
Explore Education trends in HypeFrequently Asked Questions
- Are the revenue figures actual Education creator earnings?
- No. Health leads these YouTube Education trends for November 2026 with $26,887 in estimated revenue. All ten estimates are consistent with about $1.50 per 1,000 views. Their differences reflect view volume within that model, rather than verified earnings or better monetization per view.
- Why test engineering when health leads the ranking?
- Engineering has 16.64M views across six videos, averaging 2.77M per video, against health’s 365.80K across 49. Its demonstrations offer a specific creative test. The small sample and lower likes-to-views rate mean that average is not a forecast for your channel.
- Can one networking video be credited with 13.62M views?
- The topic aggregate reports 13.62M views across one video, but the corresponding individual figure is zero. Those figures cannot be reconciled. The report preserves the aggregate ranking without assigning that total to the example or treating it as a reliable upload benchmark.
- How does this differ from YouTube’s Trending page?
- This report groups Education videos into topics and compares a 30-day ranking with a broader 60-day baseline. YouTube’s Trending Charts spotlight individual videos in selected categories. This monthly topic report is a separate analysis, rather than an official YouTube chart or a personalised feed.
- How often are Education trends updated?
- The report is published monthly. This edition uses the November 2, 2026 snapshot. Its current and comparison windows were collected on the same date, so the 60-day baseline is not the previous calendar month.
Your next Education video decision
- Prioritise: A question whose answer you can support and explain clearly.
- Test: A hidden mechanism made understandable through one observable change.
- Approach cautiously: A production plan that depends on an exceptional average or a stronger claim than your evidence can carry.