We prove several new tight distributed lower bounds for classic symmetry breaking graph problems. As a basic tool, we first provide a new insightful proof that any deterministic distributed algorithm that computes a $Δ$-coloring on $Δ$-regular trees requires $Ω(\log_Δn)$ rounds and any randomized algorithm requires $Ω(\log_Δ\log n)$ rounds. We prove this result by showing that a natural relaxation of the $Δ$-coloring problem is a fixed point in the round elimination framework. As a first application, we show that our $Δ$-coloring lower bound proof directly extends to arbdefective colorings. We exactly characterize which variants of the arbdefective coloring problem are "easy", and which of them instead are "hard". As a second application, which we see as our main contribution, we use the structure of the fixed point as a building block to prove lower bounds as a function of $Δ$ for a large class of distributed symmetry breaking problems. For example, we obtain a tight lower bound for the fundamental problem of computing a $(2,β)$-ruling set. This is an exponential improvement over the best existing lower bound for the problem, which was proven in [FOCS '20]. Our lower bound even applies to a much more general family of problems that allows for almost arbitrary combinations of natural constraints from coloring problems, orientation problems, and independent set problems, and provides a single unified proof for known and new lower bound results for these types of problems. Our lower bounds as a function of $Δ$ also imply lower bounds as a function of $n$. We obtain, for example, that maximal independent set, on trees, requires $Ω(\log n / \log \log n)$ rounds for deterministic algorithms, which is tight.