NTPsec

crane2.services.mbix.ca

Report generated: Tue Oct 6 16:45:03 2026 UTC
Start Time: Tue Sep 29 16:45:01 2026 UTC
End Time: Tue Oct 6 16:45:01 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 -42.834 -21.417 -16.217 -2.740 26.361 37.955 76.867 42.578 59.372 12.823 -0.003 µs -2.969 7.065
Local Clock Frequency Offset 81.785 81.820 81.855 81.933 82.045 82.079 82.132 0.190 0.259 0.058 81.937 ppm 2.844e+09 4.03e+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 5.126 8.584 10.327 16.657 24.990 28.971 44.383 14.663 20.387 4.513 17.017 µs 30.08 113.7

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 2.091 3.229 3.841 5.970 8.701 9.984 14.046 4.860 6.755 1.504 6.078 ppb 37.74 150.4

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 -42.834 -21.417 -16.217 -2.740 26.361 37.955 76.867 42.578 59.372 12.823 -0.003 µs -2.969 7.065

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 81.785 81.820 81.855 81.933 82.045 82.079 82.132 0.190 0.259 0.058 81.937 ppm 2.844e+09 4.03e+12
Temp ZONE0 38.000 39.000 39.000 40.000 42.000 42.000 43.000 3.000 3.000 0.780 40.443 °C
Temp ZONE1 37.000 37.000 38.000 39.000 40.000 40.000 40.000 2.000 3.000 0.662 38.618 °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 132.246.11.229

peer offset 132.246.11.229 plot

Percentiles...... Ranges...... Skew- Kurt-
Name Min1%5%50%95% 99%Max   90%98%StdDev  MeanUnits nessosis
Server Offset 132.246.11.229 0.614 0.690 0.733 0.845 2.143 2.191 2.267 1.410 1.501 0.596 1.213 ms 5.009 12.54

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 134.84.84.84

peer offset 134.84.84.84 plot

Percentiles...... Ranges...... Skew- Kurt-
Name Min1%5%50%95% 99%Max   90%98%StdDev  MeanUnits nessosis
Server Offset 134.84.84.84 -95.789 -95.789 -50.260 -6.074 37.192 43.146 43.146 87.452 138.935 29.244 -6.017 µs -5.897 16.54

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 204.9.54.119

peer offset 204.9.54.119 plot

Percentiles...... Ranges...... Skew- Kurt-
Name Min1%5%50%95% 99%Max   90%98%StdDev  MeanUnits nessosis
Server Offset 204.9.54.119 23.834 37.506 45.161 64.150 93.698 109.587 120.104 48.537 72.081 14.764 66.093 µs 53.04 230.2

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::99 (ntp1.wiktel.com)

peer offset 2600:2600::99 plot

Percentiles...... Ranges...... Skew- Kurt-
Name Min1%5%50%95% 99%Max   90%98%StdDev  MeanUnits nessosis
Server Offset 2600:2600::99 (ntp1.wiktel.com) -3.811 11.645 20.532 48.498 83.672 99.071 115.479 63.140 87.426 19.568 49.799 µs 8.633 24.69

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::12 (ntp2.torix.ca)

peer offset 2602:fde5:2a::12 plot

Percentiles...... Ranges...... Skew- Kurt-
Name Min1%5%50%95% 99%Max   90%98%StdDev  MeanUnits nessosis
Server Offset 2602:fde5:2a::12 (ntp2.torix.ca) 1.432 1.455 1.472 1.509 2.092 2.108 2.136 0.619 0.653 0.258 1.660 ms 177.2 1068

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::123 (time.cloudflare.com)

peer offset 2606:4700:f1::123 plot

Percentiles...... Ranges...... Skew- Kurt-
Name Min1%5%50%95% 99%Max   90%98%StdDev  MeanUnits nessosis
Server Offset 2606:4700:f1::123 (time.cloudflare.com) -1.159 -1.007 -0.796 -0.415 -0.167 0.081 0.331 0.629 1.088 0.190 -0.435 ms -45.77 192

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:f128::50

peer offset 2607:f128::50 plot

Percentiles...... Ranges...... Skew- Kurt-
Name Min1%5%50%95% 99%Max   90%98%StdDev  MeanUnits nessosis
Server Offset 2607:f128::50 -195.597 -70.443 -40.485 29.444 360.576 393.887 436.094 401.061 464.330 119.586 68.601 µs 0.3117 2.849

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::123:2 (ntp2.doit.wisc.edu)

peer offset 2607:f388::123:2 plot

Percentiles...... Ranges...... Skew- Kurt-
Name Min1%5%50%95% 99%Max   90%98%StdDev  MeanUnits nessosis
Server Offset 2607:f388::123:2 (ntp2.doit.wisc.edu) -4.247 -0.808 -0.774 -0.476 -0.411 -0.365 8.608 0.363 0.443 0.247 -0.497 ms -14.98 814

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 2610:20:6f96:96::6 (time-e-b.nist.gov)

peer offset 2610:20:6f96:96::6 plot

Percentiles...... Ranges...... Skew- Kurt-
Name Min1%5%50%95% 99%Max   90%98%StdDev  MeanUnits nessosis
Server Offset 2610:20:6f96:96::6 (time-e-b.nist.gov) 41.080 55.187 71.075 109.980 155.733 179.415 222.241 84.658 124.228 26.073 110.792 µs 44.4 182.7

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:a33:4000::21 (usnyc3-ntp-002.aaplimg.com)

peer offset 2620:149:a33:4000::21 plot

Percentiles...... Ranges...... Skew- Kurt-
Name Min1%5%50%95% 99%Max   90%98%StdDev  MeanUnits nessosis
Server Offset 2620:149:a33:4000::21 (usnyc3-ntp-002.aaplimg.com) 0.768 0.785 0.802 0.844 0.893 1.555 7.185 0.091 0.770 0.389 0.883 ms 20.22 310.4

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) -42.835 -21.418 -16.218 -2.741 26.362 37.956 76.868 42.580 59.374 12.824 -0.003 µs -2.969 7.065

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 132.246.11.229

peer jitter 132.246.11.229 plot

Percentiles...... Ranges...... Skew- Kurt-
Name Min1%5%50%95% 99%Max   90%98%StdDev  MeanUnits nessosis
Server Jitter 132.246.11.229 0.038 0.066 0.118 0.407 1.088 3.040 155.424 0.970 2.974 8.329 1.151 ms 10.37 158.2

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 134.84.84.84

peer jitter 134.84.84.84 plot

Percentiles...... Ranges...... Skew- Kurt-
Name Min1%5%50%95% 99%Max   90%98%StdDev  MeanUnits nessosis
Server Jitter 134.84.84.84 0.000 0.000 0.000 16.406 54.175 70.481 70.481 54.175 70.481 16.028 18.190 µs 1.556 5.22

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 204.9.54.119

peer jitter 204.9.54.119 plot

Percentiles...... Ranges...... Skew- Kurt-
Name Min1%5%50%95% 99%Max   90%98%StdDev  MeanUnits nessosis
Server Jitter 204.9.54.119 3.576 7.291 10.149 19.445 41.266 57.450 143.509 31.117 50.159 10.873 21.798 µs 6.941 40.69

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::99 (ntp1.wiktel.com)

peer jitter 2600:2600::99 plot

Percentiles...... Ranges...... Skew- Kurt-
Name Min1%5%50%95% 99%Max   90%98%StdDev  MeanUnits nessosis
Server Jitter 2600:2600::99 (ntp1.wiktel.com) 0.005 0.009 0.012 0.024 0.045 0.055 57.835 0.032 0.047 1.729 0.080 ms 28.19 907.1

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::12 (ntp2.torix.ca)

peer jitter 2602:fde5:2a::12 plot

Percentiles...... Ranges...... Skew- Kurt-
Name Min1%5%50%95% 99%Max   90%98%StdDev  MeanUnits nessosis
Server Jitter 2602:fde5:2a::12 (ntp2.torix.ca) 3.814 9.322 12.810 228.396 580.635 601.236 3,058.078 567.825 591.914 250.011 264.935 µs 1.086 8.945

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::123 (time.cloudflare.com)

peer jitter 2606:4700:f1::123 plot

Percentiles...... Ranges...... Skew- Kurt-
Name Min1%5%50%95% 99%Max   90%98%StdDev  MeanUnits nessosis
Server Jitter 2606:4700:f1::123 (time.cloudflare.com) 8.243 11.961 15.612 34.590 176.940 574.439 995.078 161.328 562.478 86.753 58.233 µs 4.34 31.63

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:f128::50

peer jitter 2607:f128::50 plot

Percentiles...... Ranges...... Skew- Kurt-
Name Min1%5%50%95% 99%Max   90%98%StdDev  MeanUnits nessosis
Server Jitter 2607:f128::50 9.167 13.785 17.920 35.216 78.613 237.741 1,506.980 60.693 223.956 87.293 46.662 µs 11.82 179

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::123:2 (ntp2.doit.wisc.edu)

peer jitter 2607:f388::123:2 plot

Percentiles...... Ranges...... Skew- Kurt-
Name Min1%5%50%95% 99%Max   90%98%StdDev  MeanUnits nessosis
Server Jitter 2607:f388::123:2 (ntp2.doit.wisc.edu) 0.007 0.010 0.014 0.029 0.096 0.446 9.053 0.082 0.435 0.264 0.052 ms 25.23 794.4

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 2610:20:6f96:96::6 (time-e-b.nist.gov)

peer jitter 2610:20:6f96:96::6 plot

Percentiles...... Ranges...... Skew- Kurt-
Name Min1%5%50%95% 99%Max   90%98%StdDev  MeanUnits nessosis
Server Jitter 2610:20:6f96:96::6 (time-e-b.nist.gov) 7.727 13.712 17.827 32.906 61.965 80.955 322.417 44.138 67.243 17.585 36.012 µs 10.23 114

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:a33:4000::21 (usnyc3-ntp-002.aaplimg.com)

peer jitter 2620:149:a33:4000::21 plot

Percentiles...... Ranges...... Skew- Kurt-
Name Min1%5%50%95% 99%Max   90%98%StdDev  MeanUnits nessosis
Server Jitter 2620:149:a33:4000::21 (usnyc3-ntp-002.aaplimg.com) 0.008 0.016 0.026 0.087 53.983 65.015 89.169 53.957 64.999 20.102 14.660 ms 0.2122 2.131

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) 1.366 4.951 6.930 15.472 32.091 42.006 82.427 25.161 37.055 7.906 16.882 µs 6.099 20.43

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 81.785 81.820 81.855 81.933 82.045 82.079 82.132 0.190 0.259 0.058 81.937 ppm 2.844e+09 4.03e+12
Local Clock Time Offset -42.834 -21.417 -16.217 -2.740 26.361 37.955 76.867 42.578 59.372 12.823 -0.003 µs -2.969 7.065
Local RMS Frequency Jitter 2.091 3.229 3.841 5.970 8.701 9.984 14.046 4.860 6.755 1.504 6.078 ppb 37.74 150.4
Local RMS Time Jitter 5.126 8.584 10.327 16.657 24.990 28.971 44.383 14.663 20.387 4.513 17.017 µs 30.08 113.7
Server Jitter 132.246.11.229 0.038 0.066 0.118 0.407 1.088 3.040 155.424 0.970 2.974 8.329 1.151 ms 10.37 158.2
Server Jitter 134.84.84.84 0.000 0.000 0.000 16.406 54.175 70.481 70.481 54.175 70.481 16.028 18.190 µs 1.556 5.22
Server Jitter 204.9.54.119 3.576 7.291 10.149 19.445 41.266 57.450 143.509 31.117 50.159 10.873 21.798 µs 6.941 40.69
Server Jitter 2600:2600::99 (ntp1.wiktel.com) 0.005 0.009 0.012 0.024 0.045 0.055 57.835 0.032 0.047 1.729 0.080 ms 28.19 907.1
Server Jitter 2602:fde5:2a::12 (ntp2.torix.ca) 3.814 9.322 12.810 228.396 580.635 601.236 3,058.078 567.825 591.914 250.011 264.935 µs 1.086 8.945
Server Jitter 2606:4700:f1::123 (time.cloudflare.com) 8.243 11.961 15.612 34.590 176.940 574.439 995.078 161.328 562.478 86.753 58.233 µs 4.34 31.63
Server Jitter 2607:f128::50 9.167 13.785 17.920 35.216 78.613 237.741 1,506.980 60.693 223.956 87.293 46.662 µs 11.82 179
Server Jitter 2607:f388::123:2 (ntp2.doit.wisc.edu) 0.007 0.010 0.014 0.029 0.096 0.446 9.053 0.082 0.435 0.264 0.052 ms 25.23 794.4
Server Jitter 2610:20:6f96:96::6 (time-e-b.nist.gov) 7.727 13.712 17.827 32.906 61.965 80.955 322.417 44.138 67.243 17.585 36.012 µs 10.23 114
Server Jitter 2620:149:a33:4000::21 (usnyc3-ntp-002.aaplimg.com) 0.008 0.016 0.026 0.087 53.983 65.015 89.169 53.957 64.999 20.102 14.660 ms 0.2122 2.131
Server Jitter PPS(0) 1.366 4.951 6.930 15.472 32.091 42.006 82.427 25.161 37.055 7.906 16.882 µs 6.099 20.43
Server Offset 132.246.11.229 0.614 0.690 0.733 0.845 2.143 2.191 2.267 1.410 1.501 0.596 1.213 ms 5.009 12.54
Server Offset 134.84.84.84 -95.789 -95.789 -50.260 -6.074 37.192 43.146 43.146 87.452 138.935 29.244 -6.017 µs -5.897 16.54
Server Offset 204.9.54.119 23.834 37.506 45.161 64.150 93.698 109.587 120.104 48.537 72.081 14.764 66.093 µs 53.04 230.2
Server Offset 2600:2600::99 (ntp1.wiktel.com) -3.811 11.645 20.532 48.498 83.672 99.071 115.479 63.140 87.426 19.568 49.799 µs 8.633 24.69
Server Offset 2602:fde5:2a::12 (ntp2.torix.ca) 1.432 1.455 1.472 1.509 2.092 2.108 2.136 0.619 0.653 0.258 1.660 ms 177.2 1068
Server Offset 2606:4700:f1::123 (time.cloudflare.com) -1.159 -1.007 -0.796 -0.415 -0.167 0.081 0.331 0.629 1.088 0.190 -0.435 ms -45.77 192
Server Offset 2607:f128::50 -195.597 -70.443 -40.485 29.444 360.576 393.887 436.094 401.061 464.330 119.586 68.601 µs 0.3117 2.849
Server Offset 2607:f388::123:2 (ntp2.doit.wisc.edu) -4.247 -0.808 -0.774 -0.476 -0.411 -0.365 8.608 0.363 0.443 0.247 -0.497 ms -14.98 814
Server Offset 2610:20:6f96:96::6 (time-e-b.nist.gov) 41.080 55.187 71.075 109.980 155.733 179.415 222.241 84.658 124.228 26.073 110.792 µs 44.4 182.7
Server Offset 2620:149:a33:4000::21 (usnyc3-ntp-002.aaplimg.com) 0.768 0.785 0.802 0.844 0.893 1.555 7.185 0.091 0.770 0.389 0.883 ms 20.22 310.4
Server Offset PPS(0) -42.835 -21.418 -16.218 -2.741 26.362 37.956 76.868 42.580 59.374 12.824 -0.003 µs -2.969 7.065
Temp ZONE0 38.000 39.000 39.000 40.000 42.000 42.000 43.000 3.000 3.000 0.780 40.443 °C
Temp ZONE1 37.000 37.000 38.000 39.000 40.000 40.000 40.000 2.000 3.000 0.662 38.618 °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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