Nadine Häring and Hans-Walter Rix re-examine the relationship between the mass of central black holes in nearby galaxies ($M_{bh}$) and the stellar mass of the surrounding bulge ($M_{bulge}$). They derive bulge masses for 30 galaxies using Jeans equation modeling or dynamical models from the literature, covering a range of stellar mass-to-light ratios. By combining these improved black hole masses with re-derived bulge masses, they find a tight relation between $M_{bh}$ and $M_{bulge}$, with a slope of $M_{bh} \sim M_{bulge}^{1.12 \pm 0.06}$ and an observed scatter of $\lesssim 0.30$ dex. This confirms and refines the work of Marconi and Hunt (2003), showing that the scatter in this relation is comparable to that in the relations between $M_{bh}$ and $\sigma$ or stellar concentration. The median black hole mass is found to be $0.14\% \pm 0.04\%$ of the bulge mass for $M_{bulge} \sim 5 \times 10^{10} M_{\odot}$. The study highlights the importance of reliable black hole mass measurements and the robustness of the Jeans equation modeling approach.Nadine Häring and Hans-Walter Rix re-examine the relationship between the mass of central black holes in nearby galaxies ($M_{bh}$) and the stellar mass of the surrounding bulge ($M_{bulge}$). They derive bulge masses for 30 galaxies using Jeans equation modeling or dynamical models from the literature, covering a range of stellar mass-to-light ratios. By combining these improved black hole masses with re-derived bulge masses, they find a tight relation between $M_{bh}$ and $M_{bulge}$, with a slope of $M_{bh} \sim M_{bulge}^{1.12 \pm 0.06}$ and an observed scatter of $\lesssim 0.30$ dex. This confirms and refines the work of Marconi and Hunt (2003), showing that the scatter in this relation is comparable to that in the relations between $M_{bh}$ and $\sigma$ or stellar concentration. The median black hole mass is found to be $0.14\% \pm 0.04\%$ of the bulge mass for $M_{bulge} \sim 5 \times 10^{10} M_{\odot}$. The study highlights the importance of reliable black hole mass measurements and the robustness of the Jeans equation modeling approach.