Maddow: Why did Trump officials ask cyber agency to SECRETLY 'hack' voting machines?
Published October 25, 2026
At a glance
Views
56,914
Likes
5,463
Comments
382
Performance vs. channel
All-time outlier score
Engagement rate
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About
"Why would the White House need to know secretly how to hack voting machines?" Following a ProPublica report that found Trump appointees asked the Cybersecurity and Infrastructure Security Agency to secretly acquire a voting machine and hack it, Rachel Maddow questions the administration's motive. MS NOW has not inde…
- Published
- October 25, 2026
- Made for kids
- No
More features coming
We're working on new analytics and tools. Stay tuned.
How Maddow: Why did Trump officials ask cyber agency to SECRETLY 'hack' voting machines? is doing
It has 56.9K views in total. It ranks #13,162,184 among tracked YouTube videos by views.
Key facts about Maddow: Why did Trump officials ask cyber agency to SECRETLY 'hack' voting machines?
- Total views
- 56.9K
- Total likes
- 5.46K
- Total comments
- 382
- Published
- October 25, 2026
- Global rank by views
- #13,162,184
Frequently asked questions
How many views does Maddow: Why did Trump officials ask cyber agency to SECRETLY 'hack' voting machines? have?
Maddow: Why did Trump officials ask cyber agency to SECRETLY 'hack' voting machines? has 56,914 views, 5,463 likes and 382 comments, ranking #13,162,184 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?
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