What if a science channel didn't care about subject boundaries?
I've been working on a YouTube channel, and I'd love some genuine feedback from people who actually consume science/educational content online.
As most science explainer channels pick a lane — they'll explain why the sky is blue from a physics perspective, or maybe touch on atmospheric chemistry, and call it a day. My channel's whole premise is to go further and break down phenomena using all the relevant disciplines together — physics, chemistry, biology, and mathematics — because that's how reality actually works. No artificial subject boundaries.
For example, instead of just explaining "why do we feel cold when we sweat" as a simple evaporation story, I want to trace it from the thermodynamics of phase transitions → to the biochemistry of sweat glands → to the neurological signalling that makes you feel temperature → to the mathematical models behind heat dissipation from the body.
Here's my concern — this kind of depth is genuinely hard to present in an engaging way, especially without losing people halfway through. I don't want to dumb it down, but I also don't want viewers to feel like they're reading a textbook.
Some things I'm already thinking about:
Strong visual storytelling / animations
Hooking with a relatable everyday phenomenon before going deep
Keeping a conversational tone
But I'd love to know:
What do channels that cover complex science do that actually keeps you watching?
What kills your interest mid-video, even when the topic is interesting?
How do you balance depth with accessibility without being patronising?
Is there a format (long-form deep dives, Shorts, series structure) that works best for this kind of multi-disciplinary content?
And also the most important question (honest opinions please):
I'm Indian. I want to grow this channel to reach people across India, but also globally if possible.
Now here's the thing — I've seen a lot of discussion online (and frankly, experienced it myself) about how Indian creators making English content sometimes face an uphill battle internationally, whether because of accent bias, assumptions about quality, or just algorithmic disadvantages. I'm not going to pretend that bias doesn't exist.
So I genuinely don't know what the smarter move is.
I genuinely want the hard, honest feedback. If you think this concept is flawed or won't work, tell me that too.
Thanks in advance 🙏