Incomplete information is normal.

Strong evidence should be identified as strong.

Weak evidence should be identified as weak.

Unknown should remain unknown until better information exists.

False precision is not intelligence.

A number becomes more useful when its origin is known.

Technical information should retain its source, context, method, assumptions and limitations wherever possible.

Commercial relationships must not determine technical conclusions.

Payment may support the infrastructure.

It must not purchase a favourable technical result.

Good technical reasoning does not require pretending that only one solution exists.

Different solutions should be compared through evidence and trade-offs.

Lighting ultimately affects people.

Technical performance therefore extends beyond individual numerical targets.

Comfort, accessibility, experience, maintainability, energy, environmental impact and long-term operation matter.

Useful information should not become valuable because it is difficult to remove from a platform.

TFM will favour structured information, documented interfaces and established data formats wherever practical.

Research, measurements, standards and technical information originate from people and organisations.

Sources should remain attributable.

Fundamental knowledge becomes more useful when more people can understand it.

TFM aims to keep educational information accessible while developing sustainable commercial services around professional data, computation, validation and automation.

Predictions should eventually be compared with reality.

Measured outcomes can expose incorrect assumptions and improve future decisions.

Artificial intelligence, simulation and automation are tools.

They should expand the ability to investigate information—not conceal uncertainty behind unexplained answers.