23/11/2025
A MUTT™ Perspective on Ideology in Dog Training
The dog-training profession is changing quickly. Recent “Joint Standards” published by several organisations show a trend toward defining a single interpretation of what counts as “ethical,” “humane,” or “evidence-based.” Some of this comes from genuine welfare concerns. But some positions are now being presented as universal, even when the underlying science is more nuanced.
I am not speaking for any organisation. I am speaking for the middle ground — the space that is becoming very quiet.
Dogs do not benefit from extremes, and neither do the people trying to help them. Good welfare, good science, and good practice all depend on context, clarity, and open discussion.
When unified standards are published, they do not stay purely advisory. They influence licensing decisions, insurance requirements, welfare enforcement, and eventually how courts interpret “accepted practice.” As a solicitor and behaviourist, I know how quickly definitions become embedded. That is why accuracy and balanced representation matter.
This is not a call for conflict.
It is a call for careful thinking.
Public debate has become polarised, and real dogs with real needs are being squeezed into ideological boxes.
Real dogs need real options — not a narrow corridor shaped by professional politics.
At MUTT™ (Mutual Understanding & Trust Training), my position is simple:
• reward is essential, but cannot replace clarity
• consequence exists in nature, not just textbooks
• structure is not coercion; it is security
• leadership is guidance, not dominance
• welfare is more than avoiding discomfort; it is enabling stability
• science requires questioning, not slogans
If this profession is going to evolve, let it evolve honestly, with full context and without fear of speaking.
The middle ground is not weak.
It is steady, thoughtful, and absolutely worth protecting.
— Pamela Hindes, LLB (Hons) (Solicitor)
Full Member CFBA | Canine Behaviour Consultant
MUTT™ – Mutual Understanding & Trust Training