| Source | Parameter | Correlation [%] | Value | $\Delta\chi^2$ |
| fit | ${\cal B}(B^0 \to K^0 \pi^+ \pi^-)$ | 16.2 | $4.95 \pm0.17 \times 10^{-5}$ | |
| fit | ${\cal B}(B^0 \to p \bar{p} K^0)$ | 7.6 | $2.78 \pm0.17 \times 10^{-6}$ | |
| fit | ${\cal B}(B_s^0 \to K^0 K^+ \pi^- \mathrm{+c.c.})$ | 5.4 | $8.41 \pm0.86 \times 10^{-5}$ | |
| fit | ${\cal B}(B^0 \to K^0 K^+ K^-)$ | 4.0 | $2.68 \pm0.10 \times 10^{-5}$ | |
| fit | ${\cal B}(B^0 \to K^0 K^+ \pi^- \mathrm{+c.c.})$ | 2.7 | $6.68 \pm0.51 \times 10^{-6}$ | |
| fit | ${\cal B}(B_s^0 \to K^0 \pi^+ \pi^-)$ | 2.5 | $9.5 \pm2.1 \times 10^{-6}$ | |
| fit | ${\cal B}(\Lambda_b^0 \to p \bar{K}^0 \pi^-)$ | 1.7 | $1.24 \pm0.41 \times 10^{-5}$ | |
| fit | ${\cal B}(B_s^0 \to K^0 K^+ K^-)$ | 1.1 | $1.29 \pm0.65 \times 10^{-6}$ | |
| nuisance | $\frac{f_s}{f_d}$ | -0.0 | $9 \pm1000 \times 10^{-3}$ | 0.00 |
Parameters of interest whose average is determined from individual measurements are called