  We highlight shortcomings of the dynamical dark energy (DDE) paradigm. For
parametric models with equation of state (EOS), $w(z) = w_0 + w_a f(z)$ for a
given function of redshift $f(z)$, we show that the errors in $w_a$ are
sensitive to $f(z)$: if $f(z)$ increases quickly with redshift $z$, then errors
in $w_a$ are smaller, and vice versa. As a result, parametric DDE models suffer
from a degree of arbitrariness and focusing too much on one model runs that
risk that DDE may be overlooked. In particular, we show the ubiquitous
Chevallier-Polarski-Linder model is one of the least sensitive to DDE. We also
comment on ``wiggles" in $w(z)$ uncovered in non-parametric reconstructions.
Concretely, we isolate the most relevant Fourier modes in the wiggles, model
them and fit them back to the original data to confirm the wiggles at
$\lesssim2\sigma$. We delve into the assumptions going into the reconstruction
and argue that the assumed correlations, which clearly influence the wiggles,
place strong constraints on field theory models of DDE.
