T. Folse Nuclear covers nuclear engineering, safety, and related science topics through reactor physics, radiation concepts, and dissection of misconceptions, frequently reacting to movies, shows, and games with educational commentary. The channel blends tutorials, explanations, and reaction-style videos, and publishes with an average of about 0 min per video as per provided data, totaling 1,200 videos since joining Nov 5, 2022, and averaging around 131.2K views per video (overall channel has 665.8M views). Upload frequency is approximately 4.1 uploads per week.
Similar Channels
We found 44 YouTube channels similar to T. Folse Nuclear
Both target audiences interested in nuclear safety and radiation topics, evidenced by high search overlap (nuclear safety, radiation protection, nuclear emergency response) and a solid content alignment (75%), indicating similar educational focus despite different channel branding.
nuclear engineeringreactor physicsnuclear power basics
Share an audience around fundamental nuclear concepts (nuclear engineering, reactor physics, nuclear power basics) with an extremely high search alignment (99%), and substantial content similarity (66%), making their educational scope closely related to T. Folse Nuclear.
Both channels address radiation safety topics (radiation protection, shielding, dose concepts) with perfect search overlap (100%), though content similarity is moderate (60%), suggesting similar topic interests but different presentation style.
Share interest in nuclear simulations with queries on virtual reactor simulations and a decent content match (69%), indicating overlapping but specialized simulation-focused content compared to T. Folse Nuclear.
Overlap on nuclear safety and reactor design topics (queries like nuclear safety, nuclear reactor design, nuclear fuel cycling) aligns with T. Folse Nuclear, and content similarity is high (80%), suggesting comparable technical breadth.
Connect via broad nuclear safety and subcritical reactor topics (subcritical assemblies) with strong content similarity (75%), though search overlap is lower (59%), implying a shared niche but distinct audience emphasis.
Content Landscape
Top competitors by match strength are MIT OpenCourseWare (79% match) and IAEAvideo (80% match). Both overlap with T. Folse Nuclear on queries like nuclear engineering, reactor physics, nuclear safety, radiation protection, and nuclear emergency response. CDC (76% match) also competes in radiation protection and dose concepts, while CPFD Software (72% match) and Energy Encyclopedia (71% match) touch on virtual reactor simulations, nuclear safety, and reactor design. T. Folse Nuclear has fewer subscribers (1M) than MIT OpenCourseWare (6.2M) and CDC (706K) but more than CPFD Software (1.4K) and Energy Encyclopedia (49K), illustrating a range from large educational platforms to niche simulation-focused channels competing for similar topics.
Which YouTube channels are most similar to T. Folse Nuclear?
I A E A video (IAEAvideo) — 43.2K subscribers, 80% match with T. Folse Nuclear; MIT OpenCourseWare — 6.2M subscribers, 79% match; Centers for Disease Control and Prevention (CDC) — 706K subscribers, 76% match. All three channels share a focus on science and education-related content, with a track record of educational or informational videos related to science, health, or engineering.
What type of content does T. Folse Nuclear make?
T. Folse Nuclear creates educational content about nuclear science and engineering, reacting to and explaining topics in a video-commentary format. The channel uploads about 4.1 videos per week, with an average of 131.2K views per video; recent video topics include reactions to lightning, physics concepts, tungsten shielding, Chernobyl incidents, and neutron bombs.
How do we determine which channels are similar to T. Folse Nuclear?
We analyze T. Folse Nuclear's recent videos, generate topic-relevant search queries, check YouTube search results, and compare the meaning of each channel's content to measure similarity. The result is a ranked list sorted by SERP overlap, semantic similarity, and search appearances.
