NTPsec

crane2.services.mbix.ca

Report generated: Sat Sep 5 04:53:08 2026 UTC
Start Time: Fri Sep 4 04:53:08 2026 UTC
End Time: Sat Sep 5 04:53:08 2026 UTC
Report Period: 1.0 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 -33.239 -21.652 -16.766 -2.897 26.484 38.728 75.226 43.250 60.380 13.107 -0.010 µs -3.024 7.131
Local Clock Frequency Offset 81.873 81.886 81.896 81.960 82.016 82.029 82.056 0.120 0.143 0.039 81.958 ppm 8.937e+09 1.855e+13

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 6.124 9.040 10.821 16.908 25.595 29.191 38.450 14.774 20.151 4.520 17.356 µs 31.93 122.4

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 2.555 3.443 4.055 6.092 8.885 10.150 13.632 4.830 6.707 1.486 6.229 ppb 42.65 174.9

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 -33.239 -21.652 -16.766 -2.897 26.484 38.728 75.226 43.250 60.380 13.107 -0.010 µs -3.024 7.131

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 81.873 81.886 81.896 81.960 82.016 82.029 82.056 0.120 0.143 0.039 81.958 ppm 8.937e+09 1.855e+13
Temp ZONE0 38.000 38.000 39.000 40.000 42.000 42.000 43.000 3.000 4.000 1.063 40.201 °C
Temp ZONE1 38.000 38.000 39.000 40.000 40.000 41.000 41.000 1.000 3.000 0.575 39.565 °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 1.018 1.032 1.073 1.192 1.282 1.313 1.339 0.209 0.281 0.063 1.189 ms 5895 1.071e+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 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 -71.222 -71.222 -71.222 -57.585 -15.403 -15.403 -15.403 55.819 55.819 19.525 -47.711 µs -50.76 207.9

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 -15.793 -15.781 -15.759 0.060 0.092 0.113 0.139 15.851 15.893 4.077 -1.067 ms -9.121 40.95

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) 2.298 8.597 20.941 48.763 83.580 103.163 114.171 62.639 94.566 19.292 49.414 µs 8.916 26.27

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) 1.424 1.455 1.464 1.503 2.091 2.104 2.107 0.627 0.648 0.235 1.616 ms 223.3 1448

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) -823.539 -781.678 -541.657 -79.134 316.884 510.461 528.097 858.541 1,292.139 247.573 -89.315 µs -6.897 19.62

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::50 157.339 224.615 258.048 318.694 381.064 396.980 416.467 123.016 172.365 37.755 318.569 µs 433.4 3386

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) -645.664 -626.622 -582.337 -491.718 -307.985 -253.448 -243.422 274.352 373.174 72.228 -483.524 µs -477.7 3837

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) 129.320 134.094 149.297 198.096 252.196 284.716 297.928 102.899 150.622 30.371 199.393 µs 189.4 1157

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) 779.894 785.272 798.304 836.497 877.638 901.533 909.623 79.334 116.261 24.466 837.115 µs 3.675e+04 1.224e+06

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) -33.240 -21.653 -16.767 -2.898 26.485 38.729 75.227 43.252 60.382 13.108 -0.010 µs -3.024 7.131

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 0.072 0.085 0.130 0.510 1.441 15.359 99.994 1.311 15.275 8.226 1.364 ms 8.616 105.6

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 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 13.214 34.737 34.737 34.737 34.737 34.737 11.592 16.057 µs 1.556 3.321

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 0.007 0.008 0.011 0.022 0.051 13.385 16.134 0.041 13.378 1.831 0.278 ms 4.436 39.34

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) 7.311 8.653 11.922 24.161 44.197 56.561 65.304 32.275 47.908 10.092 25.269 µs 8.893 28.8

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 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) 5.269 7.975 10.653 29.020 574.451 593.708 604.091 563.798 585.733 226.242 188.423 µs 0.2116 1.363

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) 14.089 16.400 23.740 61.001 173.849 568.879 730.930 150.109 552.479 84.463 80.575 µs 4.355 27.18

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 11.960 13.418 18.737 34.624 63.260 77.432 96.067 44.523 64.014 14.084 36.182 µs 9.619 32.05

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) 7.134 8.987 14.166 27.701 127.408 543.671 948.059 113.242 534.684 100.903 51.224 µs 3.633 24.91

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) 14.328 16.668 19.883 33.769 62.755 74.236 81.850 42.872 57.568 12.687 36.387 µs 13.13 44.61

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) 0.016 0.019 0.024 0.075 48.759 66.748 70.541 48.735 66.730 18.873 13.467 ms 0.1693 1.996

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) 1.379 5.326 7.345 15.925 32.543 42.531 75.667 25.198 37.205 7.924 17.327 µs 6.438 21.49

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 81.873 81.886 81.896 81.960 82.016 82.029 82.056 0.120 0.143 0.039 81.958 ppm 8.937e+09 1.855e+13
Local Clock Time Offset -33.239 -21.652 -16.766 -2.897 26.484 38.728 75.226 43.250 60.380 13.107 -0.010 µs -3.024 7.131
Local RMS Frequency Jitter 2.555 3.443 4.055 6.092 8.885 10.150 13.632 4.830 6.707 1.486 6.229 ppb 42.65 174.9
Local RMS Time Jitter 6.124 9.040 10.821 16.908 25.595 29.191 38.450 14.774 20.151 4.520 17.356 µs 31.93 122.4
Server Jitter 132.246.11.229 0.072 0.085 0.130 0.510 1.441 15.359 99.994 1.311 15.275 8.226 1.364 ms 8.616 105.6
Server Jitter 134.84.84.84 0.000 0.000 0.000 13.214 34.737 34.737 34.737 34.737 34.737 11.592 16.057 µs 1.556 3.321
Server Jitter 204.9.54.119 0.007 0.008 0.011 0.022 0.051 13.385 16.134 0.041 13.378 1.831 0.278 ms 4.436 39.34
Server Jitter 2600:2600::99 (ntp1.wiktel.com) 7.311 8.653 11.922 24.161 44.197 56.561 65.304 32.275 47.908 10.092 25.269 µs 8.893 28.8
Server Jitter 2602:fde5:2a::12 (ntp2.torix.ca) 5.269 7.975 10.653 29.020 574.451 593.708 604.091 563.798 585.733 226.242 188.423 µs 0.2116 1.363
Server Jitter 2606:4700:f1::123 (time.cloudflare.com) 14.089 16.400 23.740 61.001 173.849 568.879 730.930 150.109 552.479 84.463 80.575 µs 4.355 27.18
Server Jitter 2607:f128::50 11.960 13.418 18.737 34.624 63.260 77.432 96.067 44.523 64.014 14.084 36.182 µs 9.619 32.05
Server Jitter 2607:f388::123:2 (ntp2.doit.wisc.edu) 7.134 8.987 14.166 27.701 127.408 543.671 948.059 113.242 534.684 100.903 51.224 µs 3.633 24.91
Server Jitter 2610:20:6f96:96::6 (time-e-b.nist.gov) 14.328 16.668 19.883 33.769 62.755 74.236 81.850 42.872 57.568 12.687 36.387 µs 13.13 44.61
Server Jitter 2620:149:a33:4000::21 (usnyc3-ntp-002.aaplimg.com) 0.016 0.019 0.024 0.075 48.759 66.748 70.541 48.735 66.730 18.873 13.467 ms 0.1693 1.996
Server Jitter PPS(0) 1.379 5.326 7.345 15.925 32.543 42.531 75.667 25.198 37.205 7.924 17.327 µs 6.438 21.49
Server Offset 132.246.11.229 1.018 1.032 1.073 1.192 1.282 1.313 1.339 0.209 0.281 0.063 1.189 ms 5895 1.071e+05
Server Offset 134.84.84.84 -71.222 -71.222 -71.222 -57.585 -15.403 -15.403 -15.403 55.819 55.819 19.525 -47.711 µs -50.76 207.9
Server Offset 204.9.54.119 -15.793 -15.781 -15.759 0.060 0.092 0.113 0.139 15.851 15.893 4.077 -1.067 ms -9.121 40.95
Server Offset 2600:2600::99 (ntp1.wiktel.com) 2.298 8.597 20.941 48.763 83.580 103.163 114.171 62.639 94.566 19.292 49.414 µs 8.916 26.27
Server Offset 2602:fde5:2a::12 (ntp2.torix.ca) 1.424 1.455 1.464 1.503 2.091 2.104 2.107 0.627 0.648 0.235 1.616 ms 223.3 1448
Server Offset 2606:4700:f1::123 (time.cloudflare.com) -823.539 -781.678 -541.657 -79.134 316.884 510.461 528.097 858.541 1,292.139 247.573 -89.315 µs -6.897 19.62
Server Offset 2607:f128::50 157.339 224.615 258.048 318.694 381.064 396.980 416.467 123.016 172.365 37.755 318.569 µs 433.4 3386
Server Offset 2607:f388::123:2 (ntp2.doit.wisc.edu) -645.664 -626.622 -582.337 -491.718 -307.985 -253.448 -243.422 274.352 373.174 72.228 -483.524 µs -477.7 3837
Server Offset 2610:20:6f96:96::6 (time-e-b.nist.gov) 129.320 134.094 149.297 198.096 252.196 284.716 297.928 102.899 150.622 30.371 199.393 µs 189.4 1157
Server Offset 2620:149:a33:4000::21 (usnyc3-ntp-002.aaplimg.com) 779.894 785.272 798.304 836.497 877.638 901.533 909.623 79.334 116.261 24.466 837.115 µs 3.675e+04 1.224e+06
Server Offset PPS(0) -33.240 -21.653 -16.767 -2.898 26.485 38.729 75.227 43.252 60.382 13.108 -0.010 µs -3.024 7.131
Temp ZONE0 38.000 38.000 39.000 40.000 42.000 42.000 43.000 3.000 4.000 1.063 40.201 °C
Temp ZONE1 38.000 38.000 39.000 40.000 40.000 41.000 41.000 1.000 3.000 0.575 39.565 °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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