Flicker noise analysis was performed to differentiate between through-bond and through-space electron transport for the high and the low conductance states (Supporting Information Section S1). Prior work has shown that the conductance fluctuations (conductance noise power) exhibit a power law dependence on the mean conductance G values depending on through-space and through-bond transport characteristics . Conductance noise is quantified by numerically integrating the conductance noise power spectral density (PSD) between frequencies of 100 and 1000 Hz . The correlation is quantified by the scaling exponent n of the normalized noise power (noise power/G n ) versus the average normalized conductance G/G0, where G0 is the conductance quantum. A scaling exponent n ≈ 2 suggests through-space transmission whereas an exponent n ≈ 1 corresponds to through-bond transport. These results show that the low conductance state in PPP occurs by through-space electron transport, whereas the high conductance state shows dominant through-bond electron transport characteristics (Figure ). Flicker noise analysis for MPP (Supplementary Figure ) is also consistent with through-space electron transport for the low conductance state. Based on these results, we posit that the low conductance state observed for all aminop-terphenyl derivatives in this work arises due to non-covalent dimeric interactions. We posit that the high conductance state in PPP arises due to the formation of a dynamic covalent anchor binding to the metal electrode, which is consistent with through-bond transport for the high conductance state. Based on the structure of PPP and results from bulk electrochemical characterization (vide infra), we hypothesize that the second anchor involves the formation of an Au-C bond. To explore this hypothesis further, we pursued a series of additional experiments and simulations.