NTPsec

crane1.services.mbix.ca

Report generated: Sun Oct 11 16:45:05 2026 UTC
Start Time: Sun Oct 4 16:45:03 2026 UTC
End Time: Sun Oct 11 16:45:03 2026 UTC
Report Period: 7.0 days

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Local Clock Time/Frequency Offsets

local offset plot

Percentiles...... Ranges...... Skew- Kurt-
Name Min1%5%50%95% 99%Max   90%98%StdDev  MeanUnits nessosis
Local Clock Time Offset -54.262 -22.894 -17.321 -3.202 28.441 39.714 71.135 45.762 62.608 13.828 -0.001 µs -2.989 6.892
Local Clock Frequency Offset 72.867 72.887 72.901 72.950 73.051 73.073 73.127 0.150 0.187 0.047 72.961 ppm 3.687e+09 5.695e+12

The time and frequency offsets between the ntpd calculated time and the local system clock. Showing frequency offset (red, in parts per million, scale on right) and the time offset (blue, in μs, scale on left). Quick changes in time offset will lead to larger frequency offsets.

These are fields 3 (time) and 4 (frequency) from the loopstats log file.



Local RMS Time Jitter

local jitter plot

Percentiles...... Ranges...... Skew- Kurt-
Name Min1%5%50%95% 99%Max   90%98%StdDev  MeanUnits nessosis
Local RMS Time Jitter 5.636 8.878 11.030 18.127 26.679 30.748 44.378 15.649 21.870 4.795 18.378 µs 31.62 120

The RMS Jitter of the local clock offset. In other words, how fast the local clock offset is changing.

Lower is better. An ideal system would be a horizontal line at 0μs.

RMS jitter is field 5 in the loopstats log file.



Local RMS Frequency Jitter

local stability plot

Percentiles...... Ranges...... Skew- Kurt-
Name Min1%5%50%95% 99%Max   90%98%StdDev  MeanUnits nessosis
Local RMS Frequency Jitter 2.124 3.308 4.065 6.494 9.247 10.697 17.352 5.182 7.389 1.613 6.557 ppb 38.49 154.8

The RMS Frequency Jitter (aka wander) of the local clock's frequency. In other words, how fast the local clock changes frequency.

Lower is better. An ideal clock would be a horizontal line at 0ppm.

RMS Frequency Jitter is field 6 in the loopstats log file.



Local Clock Time Offset Histogram

local offset histogram plot

Percentiles...... Ranges...... Skew- Kurt-
Name Min1%5%50%95% 99%Max   90%98%StdDev  MeanUnits nessosis
Local Clock Offset -54.262 -22.894 -17.321 -3.202 28.441 39.714 71.135 45.762 62.608 13.828 -0.001 µs -2.989 6.892

The clock offsets of the local clock as a histogram.

The Local Clock Offset is field 3 from the loopstats log file.



Local Temperatures

local temps plot

Local temperatures. These will be site-specific depending upon what temperature sensors you collect data from. Temperature changes affect the local clock crystal frequency and stability. The math of how temperature changes frequency is complex, and also depends on crystal aging. So there is no easy way to correct for it in software. This is the single most important component of frequency drift.

The Local Temperatures are from field 3 from the tempstats log file.



Local Frequency/Temp

local freq temps plot

Percentiles...... Ranges...... Skew- Kurt-
Name Min1%5%50%95% 99%Max   90%98%StdDev  MeanUnits nessosis
Local Clock Frequency Offset 72.867 72.887 72.901 72.950 73.051 73.073 73.127 0.150 0.187 0.047 72.961 ppm 3.687e+09 5.695e+12
Temp ZONE0 39.000 40.000 40.000 41.000 44.000 44.000 46.000 4.000 4.000 1.105 41.618 °C
Temp ZONE1 34.000 35.000 35.000 36.000 38.000 38.000 39.000 3.000 3.000 0.712 36.468 °C

The frequency offsets and temperatures. Showing frequency offset (red, in parts per million, scale on right) and the temperatures.

These are field 4 (frequency) from the loopstats log file, and field 3 from the tempstats log file.



Server Offsets

peer offsets plot

The offset of all refclocks and servers. This can be useful to see if offset changes are happening in a single clock or all clocks together.

Clock Offset is field 5 in the peerstats log file.



Server Offset 128.101.101.101

peer offset 128.101.101.101 plot

Percentiles...... Ranges...... Skew- Kurt-
Name Min1%5%50%95% 99%Max   90%98%StdDev  MeanUnits nessosis
Server Offset 128.101.101.101 -57.910 -57.910 -47.860 49.614 238.092 263.083 263.083 285.952 320.993 88.253 81.712 µs 0.1004 1.793

The offset of a server in seconds. This is useful to see how the measured offset is behaving.

The chart also plots offset±rtt, where rtt is the round trip time to the server. NTP can not really know the offset of a remote chimer, NTP computes it by subtracting rtt/2 from the offset. Plotting the offset±rtt reverses this calculation to more easily see the effects of rtt changes.

Closer to 0s is better. An ideal system would be a horizontal line at 0s. Typical 90% ranges may be: local LAN server 80µs; 90% ranges for WAN server may be 4ms and much larger.

Clock Offset is field 5 in the peerstats log file. The Round Trip Time (rtt) is field 6 in the peerstats log file.



Server Offset 128.233.154.245

peer offset 128.233.154.245 plot

Percentiles...... Ranges...... Skew- Kurt-
Name Min1%5%50%95% 99%Max   90%98%StdDev  MeanUnits nessosis
Server Offset 128.233.154.245 -39.384 -19.492 -7.403 24.556 55.936 69.970 86.698 63.339 89.462 19.321 24.530 µs 0.8132 3.356

The offset of a server in seconds. This is useful to see how the measured offset is behaving.

The chart also plots offset±rtt, where rtt is the round trip time to the server. NTP can not really know the offset of a remote chimer, NTP computes it by subtracting rtt/2 from the offset. Plotting the offset±rtt reverses this calculation to more easily see the effects of rtt changes.

Closer to 0s is better. An ideal system would be a horizontal line at 0s. Typical 90% ranges may be: local LAN server 80µs; 90% ranges for WAN server may be 4ms and much larger.

Clock Offset is field 5 in the peerstats log file. The Round Trip Time (rtt) is field 6 in the peerstats log file.



Server Offset 132.246.11.238

peer offset 132.246.11.238 plot

Percentiles...... Ranges...... Skew- Kurt-
Name Min1%5%50%95% 99%Max   90%98%StdDev  MeanUnits nessosis
Server Offset 132.246.11.238 102.506 474.202 510.571 612.290 706.202 740.697 821.755 195.631 266.495 60.884 610.961 µs 764.2 7145

The offset of a server in seconds. This is useful to see how the measured offset is behaving.

The chart also plots offset±rtt, where rtt is the round trip time to the server. NTP can not really know the offset of a remote chimer, NTP computes it by subtracting rtt/2 from the offset. Plotting the offset±rtt reverses this calculation to more easily see the effects of rtt changes.

Closer to 0s is better. An ideal system would be a horizontal line at 0s. Typical 90% ranges may be: local LAN server 80µs; 90% ranges for WAN server may be 4ms and much larger.

Clock Offset is field 5 in the peerstats log file. The Round Trip Time (rtt) is field 6 in the peerstats log file.



Server Offset 2600:2600::199 (ntp2.wiktel.com)

peer offset 2600:2600::199 plot

Percentiles...... Ranges...... Skew- Kurt-
Name Min1%5%50%95% 99%Max   90%98%StdDev  MeanUnits nessosis
Server Offset 2600:2600::199 (ntp2.wiktel.com) -33.397 -15.991 -6.551 27.043 59.301 72.054 87.118 65.852 88.045 19.636 26.889 µs 1.161 3.538

The offset of a server in seconds. This is useful to see how the measured offset is behaving.

The chart also plots offset±rtt, where rtt is the round trip time to the server. NTP can not really know the offset of a remote chimer, NTP computes it by subtracting rtt/2 from the offset. Plotting the offset±rtt reverses this calculation to more easily see the effects of rtt changes.

Closer to 0s is better. An ideal system would be a horizontal line at 0s. Typical 90% ranges may be: local LAN server 80µs; 90% ranges for WAN server may be 4ms and much larger.

Clock Offset is field 5 in the peerstats log file. The Round Trip Time (rtt) is field 6 in the peerstats log file.



Server Offset 2602:fde5:2a::11 (ntp1.torix.ca)

peer offset 2602:fde5:2a::11 plot

Percentiles...... Ranges...... Skew- Kurt-
Name Min1%5%50%95% 99%Max   90%98%StdDev  MeanUnits nessosis
Server Offset 2602:fde5:2a::11 (ntp1.torix.ca) 1.450 1.476 1.495 8.364 8.422 8.439 8.461 6.928 6.963 3.334 5.497 ms 1.931 3.046

The offset of a server in seconds. This is useful to see how the measured offset is behaving.

The chart also plots offset±rtt, where rtt is the round trip time to the server. NTP can not really know the offset of a remote chimer, NTP computes it by subtracting rtt/2 from the offset. Plotting the offset±rtt reverses this calculation to more easily see the effects of rtt changes.

Closer to 0s is better. An ideal system would be a horizontal line at 0s. Typical 90% ranges may be: local LAN server 80µs; 90% ranges for WAN server may be 4ms and much larger.

Clock Offset is field 5 in the peerstats log file. The Round Trip Time (rtt) is field 6 in the peerstats log file.



Server Offset 2606:4700:f1::1 (time.cloudflare.com)

peer offset 2606:4700:f1::1 plot

Percentiles...... Ranges...... Skew- Kurt-
Name Min1%5%50%95% 99%Max   90%98%StdDev  MeanUnits nessosis
Server Offset 2606:4700:f1::1 (time.cloudflare.com) -1.189 -1.036 -0.815 -0.432 -0.139 0.121 0.321 0.676 1.157 0.207 -0.449 ms -41.45 167.8

The offset of a server in seconds. This is useful to see how the measured offset is behaving.

The chart also plots offset±rtt, where rtt is the round trip time to the server. NTP can not really know the offset of a remote chimer, NTP computes it by subtracting rtt/2 from the offset. Plotting the offset±rtt reverses this calculation to more easily see the effects of rtt changes.

Closer to 0s is better. An ideal system would be a horizontal line at 0s. Typical 90% ranges may be: local LAN server 80µs; 90% ranges for WAN server may be 4ms and much larger.

Clock Offset is field 5 in the peerstats log file. The Round Trip Time (rtt) is field 6 in the peerstats log file.



Server Offset 2607:f388::123:1 (ntp1.doit.wisc.edu)

peer offset 2607:f388::123:1 plot

Percentiles...... Ranges...... Skew- Kurt-
Name Min1%5%50%95% 99%Max   90%98%StdDev  MeanUnits nessosis
Server Offset 2607:f388::123:1 (ntp1.doit.wisc.edu) -5.819 -1.573 -0.528 -0.461 3.024 5.590 12.080 3.553 7.163 1.392 0.092 ms -0.4083 11.89

The offset of a server in seconds. This is useful to see how the measured offset is behaving.

The chart also plots offset±rtt, where rtt is the round trip time to the server. NTP can not really know the offset of a remote chimer, NTP computes it by subtracting rtt/2 from the offset. Plotting the offset±rtt reverses this calculation to more easily see the effects of rtt changes.

Closer to 0s is better. An ideal system would be a horizontal line at 0s. Typical 90% ranges may be: local LAN server 80µs; 90% ranges for WAN server may be 4ms and much larger.

Clock Offset is field 5 in the peerstats log file. The Round Trip Time (rtt) is field 6 in the peerstats log file.



Server Offset 2610:20:6f97:97::6 (time-e-wwv.nist.gov)

peer offset 2610:20:6f97:97::6 plot

Percentiles...... Ranges...... Skew- Kurt-
Name Min1%5%50%95% 99%Max   90%98%StdDev  MeanUnits nessosis
Server Offset 2610:20:6f97:97::6 (time-e-wwv.nist.gov) -67.533 -41.714 -26.582 15.724 64.758 86.526 113.317 91.340 128.240 28.378 17.197 µs -1.017 3.425

The offset of a server in seconds. This is useful to see how the measured offset is behaving.

The chart also plots offset±rtt, where rtt is the round trip time to the server. NTP can not really know the offset of a remote chimer, NTP computes it by subtracting rtt/2 from the offset. Plotting the offset±rtt reverses this calculation to more easily see the effects of rtt changes.

Closer to 0s is better. An ideal system would be a horizontal line at 0s. Typical 90% ranges may be: local LAN server 80µs; 90% ranges for WAN server may be 4ms and much larger.

Clock Offset is field 5 in the peerstats log file. The Round Trip Time (rtt) is field 6 in the peerstats log file.



Server Offset 2620:149:a33:3000::21 (usnyc3-ntp-001.aaplimg.com)

peer offset 2620:149:a33:3000::21 plot

Percentiles...... Ranges...... Skew- Kurt-
Name Min1%5%50%95% 99%Max   90%98%StdDev  MeanUnits nessosis
Server Offset 2620:149:a33:3000::21 (usnyc3-ntp-001.aaplimg.com) 740.702 759.569 773.687 829.632 876.799 892.988 928.783 103.112 133.419 31.729 826.668 µs 1.58e+04 3.978e+05

The offset of a server in seconds. This is useful to see how the measured offset is behaving.

The chart also plots offset±rtt, where rtt is the round trip time to the server. NTP can not really know the offset of a remote chimer, NTP computes it by subtracting rtt/2 from the offset. Plotting the offset±rtt reverses this calculation to more easily see the effects of rtt changes.

Closer to 0s is better. An ideal system would be a horizontal line at 0s. Typical 90% ranges may be: local LAN server 80µs; 90% ranges for WAN server may be 4ms and much larger.

Clock Offset is field 5 in the peerstats log file. The Round Trip Time (rtt) is field 6 in the peerstats log file.



Server Offset PPS(0)

peer offset PPS(0) plot

Percentiles...... Ranges...... Skew- Kurt-
Name Min1%5%50%95% 99%Max   90%98%StdDev  MeanUnits nessosis
Server Offset PPS(0) -54.263 -22.895 -17.322 -3.203 28.442 39.715 71.136 45.764 62.610 13.828 -0.001 µs -2.989 6.892

The offset of a server in seconds. This is useful to see how the measured offset is behaving.

The chart also plots offset±rtt, where rtt is the round trip time to the server. NTP can not really know the offset of a remote chimer, NTP computes it by subtracting rtt/2 from the offset. Plotting the offset±rtt reverses this calculation to more easily see the effects of rtt changes.

Closer to 0s is better. An ideal system would be a horizontal line at 0s. Typical 90% ranges may be: local LAN server 80µs; 90% ranges for WAN server may be 4ms and much larger.

Clock Offset is field 5 in the peerstats log file. The Round Trip Time (rtt) is field 6 in the peerstats log file.



Server Jitters

peer jitters plot

The RMS Jitter of all refclocks and servers. Jitter is the current estimated dispersion, in other words the variation in offset between samples.

Closer to 0s is better. An ideal system would be a horizontal line at 0s.

RMS Jitter is field 8 in the peerstats log file.



Server Jitter 128.101.101.101

peer jitter 128.101.101.101 plot

Percentiles...... Ranges...... Skew- Kurt-
Name Min1%5%50%95% 99%Max   90%98%StdDev  MeanUnits nessosis
Server Jitter 128.101.101.101 0.000 0.000 0.000 25.195 97.527 133.981 133.981 97.527 133.981 28.886 30.714 µs 1.485 5.264

The RMS Jitter of a server. Jitter is the current estimated dispersion, in other words the variation in offset between samples.

Closer to 0s is better. An ideal system would be a horizontal line at 0s.

RMS Jitter is field 8 in the peerstats log file.



Server Jitter 128.233.154.245

peer jitter 128.233.154.245 plot

Percentiles...... Ranges...... Skew- Kurt-
Name Min1%5%50%95% 99%Max   90%98%StdDev  MeanUnits nessosis
Server Jitter 128.233.154.245 0.007 0.010 0.013 0.026 0.060 2.051 3.449 0.047 2.041 0.314 0.075 ms 4.909 45.58

The RMS Jitter of a server. Jitter is the current estimated dispersion, in other words the variation in offset between samples.

Closer to 0s is better. An ideal system would be a horizontal line at 0s.

RMS Jitter is field 8 in the peerstats log file.



Server Jitter 132.246.11.238

peer jitter 132.246.11.238 plot

Percentiles...... Ranges...... Skew- Kurt-
Name Min1%5%50%95% 99%Max   90%98%StdDev  MeanUnits nessosis
Server Jitter 132.246.11.238 0.031 0.051 0.078 0.414 2.428 4.341 75.166 2.350 4.290 3.201 0.792 ms 18.15 403

The RMS Jitter of a server. Jitter is the current estimated dispersion, in other words the variation in offset between samples.

Closer to 0s is better. An ideal system would be a horizontal line at 0s.

RMS Jitter is field 8 in the peerstats log file.



Server Jitter 2600:2600::199 (ntp2.wiktel.com)

peer jitter 2600:2600::199 plot

Percentiles...... Ranges...... Skew- Kurt-
Name Min1%5%50%95% 99%Max   90%98%StdDev  MeanUnits nessosis
Server Jitter 2600:2600::199 (ntp2.wiktel.com) 0.003 0.008 0.011 0.022 0.046 0.064 103.030 0.035 0.056 4.554 0.279 ms 15.96 332.2

The RMS Jitter of a server. Jitter is the current estimated dispersion, in other words the variation in offset between samples.

Closer to 0s is better. An ideal system would be a horizontal line at 0s.

RMS Jitter is field 8 in the peerstats log file.



Server Jitter 2602:fde5:2a::11 (ntp1.torix.ca)

peer jitter 2602:fde5:2a::11 plot

Percentiles...... Ranges...... Skew- Kurt-
Name Min1%5%50%95% 99%Max   90%98%StdDev  MeanUnits nessosis
Server Jitter 2602:fde5:2a::11 (ntp1.torix.ca) 0.005 0.010 0.014 0.031 0.564 0.599 6.295 0.551 0.588 0.294 0.147 ms 7.478 134.8

The RMS Jitter of a server. Jitter is the current estimated dispersion, in other words the variation in offset between samples.

Closer to 0s is better. An ideal system would be a horizontal line at 0s.

RMS Jitter is field 8 in the peerstats log file.



Server Jitter 2606:4700:f1::1 (time.cloudflare.com)

peer jitter 2606:4700:f1::1 plot

Percentiles...... Ranges...... Skew- Kurt-
Name Min1%5%50%95% 99%Max   90%98%StdDev  MeanUnits nessosis
Server Jitter 2606:4700:f1::1 (time.cloudflare.com) 4.839 11.447 15.333 37.531 152.352 373.347 1,002.710 137.019 361.900 71.935 56.420 µs 5.409 51.15

The RMS Jitter of a server. Jitter is the current estimated dispersion, in other words the variation in offset between samples.

Closer to 0s is better. An ideal system would be a horizontal line at 0s.

RMS Jitter is field 8 in the peerstats log file.



Server Jitter 2607:f388::123:1 (ntp1.doit.wisc.edu)

peer jitter 2607:f388::123:1 plot

Percentiles...... Ranges...... Skew- Kurt-
Name Min1%5%50%95% 99%Max   90%98%StdDev  MeanUnits nessosis
Server Jitter 2607:f388::123:1 (ntp1.doit.wisc.edu) 0.006 0.011 0.015 0.036 19.053 26.576 45.213 19.038 26.565 7.072 4.020 ms 0.3944 3.881

The RMS Jitter of a server. Jitter is the current estimated dispersion, in other words the variation in offset between samples.

Closer to 0s is better. An ideal system would be a horizontal line at 0s.

RMS Jitter is field 8 in the peerstats log file.



Server Jitter 2610:20:6f97:97::6 (time-e-wwv.nist.gov)

peer jitter 2610:20:6f97:97::6 plot

Percentiles...... Ranges...... Skew- Kurt-
Name Min1%5%50%95% 99%Max   90%98%StdDev  MeanUnits nessosis
Server Jitter 2610:20:6f97:97::6 (time-e-wwv.nist.gov) 0.000 12.006 19.152 35.461 69.127 100.623 2,515.675 49.975 88.617 131.216 47.884 µs 13.2 220.6

The RMS Jitter of a server. Jitter is the current estimated dispersion, in other words the variation in offset between samples.

Closer to 0s is better. An ideal system would be a horizontal line at 0s.

RMS Jitter is field 8 in the peerstats log file.



Server Jitter 2620:149:a33:3000::21 (usnyc3-ntp-001.aaplimg.com)

peer jitter 2620:149:a33:3000::21 plot

Percentiles...... Ranges...... Skew- Kurt-
Name Min1%5%50%95% 99%Max   90%98%StdDev  MeanUnits nessosis
Server Jitter 2620:149:a33:3000::21 (usnyc3-ntp-001.aaplimg.com) 0.007 0.013 0.019 0.079 56.246 65.324 80.647 56.227 65.312 20.905 16.395 ms 0.1608 1.764

The RMS Jitter of a server. Jitter is the current estimated dispersion, in other words the variation in offset between samples.

Closer to 0s is better. An ideal system would be a horizontal line at 0s.

RMS Jitter is field 8 in the peerstats log file.



Server Jitter PPS(0)

peer jitter PPS(0) plot

Percentiles...... Ranges...... Skew- Kurt-
Name Min1%5%50%95% 99%Max   90%98%StdDev  MeanUnits nessosis
Server Jitter PPS(0) 1.631 4.828 7.004 16.784 34.507 44.725 77.293 27.503 39.897 8.561 18.177 µs 5.883 18.94

The RMS Jitter of a server. Jitter is the current estimated dispersion, in other words the variation in offset between samples.

Closer to 0s is better. An ideal system would be a horizontal line at 0s.

RMS Jitter is field 8 in the peerstats log file.



Summary


Percentiles...... Ranges...... Skew- Kurt-
Name Min1%5%50%95% 99%Max   90%98%StdDev  MeanUnits nessosis
Local Clock Frequency Offset 72.867 72.887 72.901 72.950 73.051 73.073 73.127 0.150 0.187 0.047 72.961 ppm 3.687e+09 5.695e+12
Local Clock Time Offset -54.262 -22.894 -17.321 -3.202 28.441 39.714 71.135 45.762 62.608 13.828 -0.001 µs -2.989 6.892
Local RMS Frequency Jitter 2.124 3.308 4.065 6.494 9.247 10.697 17.352 5.182 7.389 1.613 6.557 ppb 38.49 154.8
Local RMS Time Jitter 5.636 8.878 11.030 18.127 26.679 30.748 44.378 15.649 21.870 4.795 18.378 µs 31.62 120
Server Jitter 128.101.101.101 0.000 0.000 0.000 25.195 97.527 133.981 133.981 97.527 133.981 28.886 30.714 µs 1.485 5.264
Server Jitter 128.233.154.245 0.007 0.010 0.013 0.026 0.060 2.051 3.449 0.047 2.041 0.314 0.075 ms 4.909 45.58
Server Jitter 132.246.11.238 0.031 0.051 0.078 0.414 2.428 4.341 75.166 2.350 4.290 3.201 0.792 ms 18.15 403
Server Jitter 2600:2600::199 (ntp2.wiktel.com) 0.003 0.008 0.011 0.022 0.046 0.064 103.030 0.035 0.056 4.554 0.279 ms 15.96 332.2
Server Jitter 2602:fde5:2a::11 (ntp1.torix.ca) 0.005 0.010 0.014 0.031 0.564 0.599 6.295 0.551 0.588 0.294 0.147 ms 7.478 134.8
Server Jitter 2606:4700:f1::1 (time.cloudflare.com) 4.839 11.447 15.333 37.531 152.352 373.347 1,002.710 137.019 361.900 71.935 56.420 µs 5.409 51.15
Server Jitter 2607:f388::123:1 (ntp1.doit.wisc.edu) 0.006 0.011 0.015 0.036 19.053 26.576 45.213 19.038 26.565 7.072 4.020 ms 0.3944 3.881
Server Jitter 2610:20:6f97:97::6 (time-e-wwv.nist.gov) 0.000 12.006 19.152 35.461 69.127 100.623 2,515.675 49.975 88.617 131.216 47.884 µs 13.2 220.6
Server Jitter 2620:149:a33:3000::21 (usnyc3-ntp-001.aaplimg.com) 0.007 0.013 0.019 0.079 56.246 65.324 80.647 56.227 65.312 20.905 16.395 ms 0.1608 1.764
Server Jitter PPS(0) 1.631 4.828 7.004 16.784 34.507 44.725 77.293 27.503 39.897 8.561 18.177 µs 5.883 18.94
Server Offset 128.101.101.101 -57.910 -57.910 -47.860 49.614 238.092 263.083 263.083 285.952 320.993 88.253 81.712 µs 0.1004 1.793
Server Offset 128.233.154.245 -39.384 -19.492 -7.403 24.556 55.936 69.970 86.698 63.339 89.462 19.321 24.530 µs 0.8132 3.356
Server Offset 132.246.11.238 102.506 474.202 510.571 612.290 706.202 740.697 821.755 195.631 266.495 60.884 610.961 µs 764.2 7145
Server Offset 2600:2600::199 (ntp2.wiktel.com) -33.397 -15.991 -6.551 27.043 59.301 72.054 87.118 65.852 88.045 19.636 26.889 µs 1.161 3.538
Server Offset 2602:fde5:2a::11 (ntp1.torix.ca) 1.450 1.476 1.495 8.364 8.422 8.439 8.461 6.928 6.963 3.334 5.497 ms 1.931 3.046
Server Offset 2606:4700:f1::1 (time.cloudflare.com) -1.189 -1.036 -0.815 -0.432 -0.139 0.121 0.321 0.676 1.157 0.207 -0.449 ms -41.45 167.8
Server Offset 2607:f388::123:1 (ntp1.doit.wisc.edu) -5.819 -1.573 -0.528 -0.461 3.024 5.590 12.080 3.553 7.163 1.392 0.092 ms -0.4083 11.89
Server Offset 2610:20:6f97:97::6 (time-e-wwv.nist.gov) -67.533 -41.714 -26.582 15.724 64.758 86.526 113.317 91.340 128.240 28.378 17.197 µs -1.017 3.425
Server Offset 2620:149:a33:3000::21 (usnyc3-ntp-001.aaplimg.com) 740.702 759.569 773.687 829.632 876.799 892.988 928.783 103.112 133.419 31.729 826.668 µs 1.58e+04 3.978e+05
Server Offset PPS(0) -54.263 -22.895 -17.322 -3.203 28.442 39.715 71.136 45.764 62.610 13.828 -0.001 µs -2.989 6.892
Temp ZONE0 39.000 40.000 40.000 41.000 44.000 44.000 46.000 4.000 4.000 1.105 41.618 °C
Temp ZONE1 34.000 35.000 35.000 36.000 38.000 38.000 39.000 3.000 3.000 0.712 36.468 °C
Summary as CSV file


Glossary:

frequency offset:
The difference between the ntpd calculated frequency and the local system clock frequency (usually in parts per million, ppm)
jitter, dispersion:
The short term change in a value. NTP measures Local Time Jitter, Refclock Jitter, and Server Jitter in seconds. Local Frequency Jitter is in ppm or ppb.
kurtosis, Kurt:
The kurtosis of a random variable X is the fourth standardized moment and is a dimension-less ratio. ntpviz uses the Pearson's moment coefficient of kurtosis. A normal distribution has a kurtosis of three. NIST describes a kurtosis over three as "heavy tailed" and one under three as "light tailed".
ms, millisecond:
One thousandth of a second = 0.001 seconds, 1e-3 seconds
mu, mean:
The arithmetic mean: the sum of all the values divided by the number of values. The formula for mu is: "mu = (∑xi) / N". Where xi denotes the data points and N is the number of data points.
ns, nanosecond:
One billionth of a second, also one thousandth of a microsecond, 0.000000001 seconds and 1e-9 seconds.
percentile:
The value below which a given percentage of values fall.
ppb, parts per billion:
Ratio between two values. These following are all the same: 1 ppb, one in one billion, 1/1,000,000,000, 0.000,000,001, 1e-9 and 0.000,000,1%
ppm, parts per million:
Ratio between two values. These following are all the same: 1 ppm, one in one million, 1/1,000,000, 0.000,001, and 0.000,1%
‰, parts per thousand:
Ratio between two values. These following are all the same: 1 ‰. one in one thousand, 1/1,000, 0.001, and 0.1%
refclock:
Reference clock, a local GPS module or other local source of time.
remote clock:
Any clock reached over the network, LAN or WAN. Also called a peer or server.
time offset:
The difference between the ntpd calculated time and the local system clock's time. Also called phase offset.
σ, sigma:
Sigma denotes the standard deviation (SD) and is centered on the arithmetic mean of the data set. The SD is simply the square root of the variance of the data set. Two sigma is simply twice the standard deviation. Three sigma is three times sigma. Smaller is better.
The formula for sigma is: "σ = √[ ∑(xi-mu)^2 / N ]". Where xi denotes the data points and N is the number of data points.
skewness, Skew:
The skewness of a random variable X is the third standardized moment and is a dimension-less ratio. ntpviz uses the Pearson's moment coefficient of skewness. Wikipedia describes it best: "The qualitative interpretation of the skew is complicated and unintuitive."
A normal distribution has a skewness of zero.
upstream clock:
Any server or reference clock used as a source of time.
µs, us, microsecond:
One millionth of a second, also one thousandth of a millisecond, 0.000,001 seconds, and 1e-6 seconds.



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