I don’t have a definitive cause or solution yet, but thanks to @blub, I do have an adequate work around. The work around involves using median values to effectively filter out the spikes. See post #46647.
Some sample data to show how well it works:
| Single_raw | Av_raw (50) | Median_raw(50) | Calibr_Wt (kg) |
|---|---|---|---|
| -55 | 516215 | -51 | 0.00 |
| -32 | 50972 | -15 | 0.00 |
| 8307487 | 22228 | -1 | 0.00 |
| -2 | 59 | 8 | 0.00 |
| -30 | 254021 | -29 | 0.00 |
| 87 | 48455 | -9 | 0.00 |
| -81121 | 23 | 12 | 0.00 |
| -41 | 20 | -6 | 0.00 |
| -81121 | 9980 | -12 | 0.00 |
| -38 | -6 | -26 | 0.00 |
| -6 | 415389 | -1 | 0.00 |
| -11 | 65 | -32 | 0.00 |
| 69 | 415412 | -10 | 0.00 |
| -55 | 22235 | 6 | 0.00 |
| 76 | 22 | 9 | 0.00 |
| 19 | 5 | 1 | 0.00 |
| -81121 | 27 | 0 | 0.00 |
| -50 | 857 | 8 | 0.00 |
| 2 | 205729 | 18 | 0.00 |
| -10 | 30 | 51 | 0.00 |
| -20 | 23094 | 31 | 0.00 |
| -81121 | 100 | 54 | 0.00 |
| 51 | 2560 | 74 | 0.00 |
| 64 | 2575 | 33 | 0.00 |
| 89 | -4008 | 47 | 0.00 |
| 77 | 22222 | 39 | 0.00 |
| -26 | 214931 | 57 | 0.00 |
| 63 | 424561 | 32 | 0.00 |
| 10 | 59 | 48 | 0.00 |
| 26 | 100838 | 71 | 0.00 |
| 64 | 45 | 43 | 0.00 |
| 72 | 9332 | 40 | 0.00 |
| 25 | 57480 | 28 | 0.00 |
| -81121 | 2632 | 60 | 0.00 |
| 102 | 63 | 56 | 0.00 |
| 53 | 32 | 66 | 0.00 |
| 40 | 96815 | 51 | 0.00 |
| 103 | 48410 | 51 | 0.00 |
| 34 | 621085 | 46 | 0.00 |
| 14 | 22232 | 54 | 0.00 |
| 8307487 | 75 | 78 | 0.00 |
| 4113183 | 129 | 59 | 0.00 |
| 114 | 353 | 110 | 0.01 |
| 113 | 191 | 130 | 0.01 |
| 213 | 145 | 139 | 0.01 |
| 202 | 415490 | 118 | 0.01 |
| 145 | 195 | 147 | 0.01 |
| 77 | 172 | 135 | 0.01 |
| 86 | 1086 | 119 | 0.01 |
| 169 | 1075 | 132 | 0.01 |
| 162 | 2665 | 140 | 0.01 |
| 212 | 135 | 130 | 0.01 |
| 8307487 | 233 | 155 | 0.01 |
| 8307487 | 141 | 135 | 0.01 |
| 159 | 148 | 149 | 0.01 |
| 119 | 133 | 137 | 0.01 |
| 152 | 268 | 139 | 0.01 |
| 108 | 161 | 118 | 0.01 |