
Can AI Help Us Design Life? | Adrian Woolfson | Royal Society of Arts | Lecture Replay
Published February 18, 2026
At a glance
Views
1,471
Likes
37
Comments
4
Performance vs. channel
All-time outlier score
Engagement rate
More features coming
We're working on new analytics and tools. Stay tuned.
About
Could AI and synthetic biology allow us to design life itself? Geneticist and author Adrian Woolfson explores how the convergence of artificial intelligence and synthetic biology could transform the future of humanity — from growing houses rather than building them to storing human knowledge in DNA. In conversation w…
- Published
- February 18, 2026
- Made for kids
- No
More features coming
We're working on new analytics and tools. Stay tuned.
How Can AI Help Us Design Life? | Adrian Woolfson | Royal Society of Arts | Lecture Replay is doing
It has 1.47K views in total. It ranks #15,875,421 among tracked YouTube videos by views.
Key facts about Can AI Help Us Design Life? | Adrian Woolfson | Royal Society of Arts | Lecture Replay
- Total views
- 1.47K
- Total likes
- 37
- Total comments
- 4
- Published
- February 18, 2026
- Global rank by views
- #15,875,421
Frequently asked questions
How many views does Can AI Help Us Design Life? | Adrian Woolfson | Royal Society of Arts | Lecture Replay have?
Can AI Help Us Design Life? | Adrian Woolfson | Royal Society of Arts | Lecture Replay has 1,471 views, 37 likes and 4 comments, ranking #15,875,421 among tracked YouTube videos by views.
How accurate are these YouTube video analytics?
View, like, and comment counts come from YouTube's public API and refresh regularly. Growth and revenue figures are estimates built from tracked historical data, so they can differ slightly from what the creator sees privately in YouTube Studio.
What is the outlier score?
How this video's views compare to the channel's usual Shorts or long-form video. A 2x score means double the usual views for that channel, 0.5x means half.
What is engagement rate and how is it calculated?
Likes and comments per view, compared to this channel's typical engagement rate — shown as above or below what's usual for the channel.
How is the revenue estimate calculated?
It's a rough public estimate based on a $0.7–$2.0 CPM (revenue per 1,000 views) applied to view count — not actual creator earnings, which depend on ad rates, audience geography, and monetization settings YouTube doesn't expose publicly.
Is this YouTube video analytics checker free?
Yes. You get 10 free channel and video analytics lookups per 24 hours without an account — logging in, which is also free, removes that limit entirely.