
How Food Choices Shape Memory, Cognition & Cravings | Dr. Scott Kanoski
Published October 12, 2026
At a glance
Views
242,367
Likes
2,066
Comments
149
Performance vs. channel
All-time outlier score
Engagement rate
More features coming
We're working on new analytics and tools. Stay tuned.
About
Dr. Scott Kanoski, PhD, is a Professor of Human and Evolutionary Biology and Neurobiology at the University of Southern California. We discuss how different foods impact memory and cognitive function as well as cravings. We also discuss how GLP-1 drugs work to control hunger in the brain and body, the role of the gut m…
- Published
- October 12, 2026
- Made for kids
- No
More features coming
We're working on new analytics and tools. Stay tuned.
How How Food Choices Shape Memory, Cognition & Cravings | Dr. Scott Kanoski is doing
It has 242K views in total. It ranks #9,410,555 among tracked YouTube videos by views.
Key facts about How Food Choices Shape Memory, Cognition & Cravings | Dr. Scott Kanoski
- Total views
- 242K
- Total likes
- 2.06K
- Total comments
- 149
- Published
- October 12, 2026
- Global rank by views
- #9,410,555
Frequently asked questions
How many views does How Food Choices Shape Memory, Cognition & Cravings | Dr. Scott Kanoski have?
How Food Choices Shape Memory, Cognition & Cravings | Dr. Scott Kanoski has 242,367 views, 2,066 likes and 149 comments, ranking #9,410,555 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.