Dismissal is easy.
At first.
A new theory appears. People shrug. Some mock. Some ignore. Some skim. Some assume they already know what it must be. That phase is normal. It happens to almost every serious outsider framework. The mistake is thinking that first-wave dismissal tells you what the long-term outcome must be.
It does not.
What matters more is whether the theory is built to survive the dismissal phase.
BFUT can be.
And the website is central to that.
If the site is built like a pile of posts, it may still matter, but it will be easier to forget. If it is built like a knowledge engine, it can keep producing value, visibility, and return visits long after the first wave of indifference. That is a very different strategic position.
What is a knowledge engine?
It is a site where the content is not merely stored.
It is structured to generate repeated discovery.
That means: - strong hub pages - article clusters by theme - internal linking that teaches - objection pages that stabilize understanding - media embeds that deepen trust - recurring core distinctions that reinforce memory - clear pathways from short content to deep content - room for future updates tied to new observations
In other words, the site should not behave like a blog.
It should behave like an expanding system of understanding.
That matters because theories often outlast dismissal through repeated contact. A person may ignore the first article. Then months later they see a new telescope headline and remember a BFUT distinction. Then they return. Then they watch a presentation. Then they check the H0 page. Then they listen to an audio clip. Then they finally open the paper. This is how real conversion often works. Not in one moment, but in layers.
A knowledge-engine site supports layered return.
A simple campaign site does not.
This is especially important for BFUT because the theory is not just one argument. It is a family of conceptual tools. That means the site should help people re-enter through different doors depending on what triggered their interest this time. A person concerned with H0 can land there. A person reacting to the balloon analogy can land there. A person curious about infinity can land there. A person who saw a simulation can land there. Each entry point should feel like part of a larger whole.
That is what gives the project staying power.
And staying power is what beats dismissal.
Because the first-wave critics are often not the final audience. The final audience may include curious students, science writers, thoughtful lay readers, contrarians who want a disciplined alternative, educators who become uneasy with mainstream oversimplifications, and even specialists who privately notice that the public distinctions are sharper than they expected. A good knowledge engine makes all of them more likely to keep encountering the theory in useful ways.
That is exactly what BFUT needs.
The site should therefore be built with one mindset:
Not "How do we launch?"
But "How do we remain useful, searchable, memorable, and revisitable for years?"
That question changes everything.
It changes navigation.
It changes content structure.
It changes media placement.
It changes the decision to create many evergreen article hubs before worrying about frequent updates.
And it aligns perfectly with your low-maintenance preference. A strong evergreen knowledge engine can remain valuable without constant frantic posting. That is the ideal model for a custom-built site with rich foundational content and selective future additions.
This is why BFUT should not fear early dismissal.
It should fear only one thing: being built in a way that makes the theory too easy to forget.
If the website is built as a real knowledge engine, BFUT can survive the first shrug.
And many important ideas begin exactly there - not with instant acceptance, but with enough structure to keep returning until dismissal becomes harder than engagement.
Download the research paper: https://doi.org/10.5281/zenodo.19149786 (doi.org in Bing) Download the simulation code: https://zenodo.org/records/19124510 Watch the simulation work: https://vijayshankarsharma.com/