NTPsec

crane2.services.mbix.ca

Report generated: Mon Sep 14 16:53:07 2026 UTC
Start Time: Sun Sep 13 16:53:06 2026 UTC
End Time: Mon Sep 14 16:53:06 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 -34.076 -21.911 -16.628 -2.920 27.051 38.973 73.592 43.679 60.884 13.147 -0.001 µs -2.952 7.089
Local Clock Frequency Offset 81.867 81.889 81.909 81.940 81.971 81.982 82.007 0.062 0.092 0.0192 81.940 ppm 7.774e+10 3.318e+14

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 5.844 8.744 10.384 17.100 25.664 29.824 42.698 15.280 21.080 4.705 17.456 µs 28.53 106.7

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 2.280 3.193 3.836 6.148 8.909 10.533 14.198 5.073 7.340 1.586 6.221 ppb 34.17 133

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 -34.076 -21.911 -16.628 -2.920 27.051 38.973 73.592 43.679 60.884 13.147 -0.001 µs -2.952 7.089

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 81.867 81.889 81.909 81.940 81.971 81.982 82.007 0.062 0.092 0.0192 81.940 ppm 7.774e+10 3.318e+14
Temp ZONE0 39.000 39.000 40.000 40.000 42.000 42.000 42.000 2.000 3.000 0.673 40.526 °C
Temp ZONE1 37.000 38.000 38.000 39.000 39.000 40.000 40.000 1.000 2.000 0.553 38.688 °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 1.902 1.935 1.986 2.082 2.166 2.201 2.251 0.181 0.265 0.056 2.077 ms 4.813e+04 1.754e+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 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 -36.113 -36.113 -36.113 -9.780 12.618 12.618 12.618 48.731 48.731 14.771 -10.229 µs -9.985 28.06

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 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 33.523 36.349 42.700 63.637 91.271 104.376 115.951 48.571 68.027 15.024 64.691 µs 46.51 194.2

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) 4.125 8.405 18.970 49.605 81.714 96.358 98.874 62.744 87.953 19.006 49.442 µs 9.064 25.67

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) 1.143 1.446 1.469 1.506 2.091 2.105 2.134 0.622 0.659 0.258 1.652 ms 174.2 1046

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) -966.818 -908.139 -669.656 -228.788 250.511 358.472 433.154 920.167 1,266.611 278.483 -226.704 µs -11.45 33.54

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 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::50 236.154 259.103 299.343 354.265 407.258 442.172 485.656 107.915 183.069 34.816 353.990 µs 798 7572

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) -545.093 -534.038 -513.031 -471.697 -405.972 -380.216 -353.401 107.059 153.822 31.847 -468.011 µs -3913 6.213e+04

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) 127.391 135.136 147.813 185.523 231.726 248.426 259.204 83.913 113.290 25.920 187.553 µs 261.5 1754

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) 767.480 780.274 789.718 831.984 871.720 885.157 901.980 82.002 104.883 23.409 831.517 µs 4.124e+04 1.427e+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) -34.077 -21.912 -16.629 -2.921 27.052 38.974 73.593 43.681 60.886 13.147 -0.001 µs -2.952 7.09

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 0.035 0.069 0.129 0.506 1.431 79.737 124.969 1.302 79.668 13.054 2.225 ms 5.697 55.47

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 13.941 42.967 42.967 42.967 42.967 42.967 12.893 15.184 µs 1.306 3.668

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 6.515 7.146 10.627 19.992 44.254 59.605 66.229 33.627 52.459 10.658 22.663 µs 6.408 22.51

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) 4.934 8.745 12.659 22.875 44.917 54.902 60.169 32.258 46.157 10.145 25.381 µs 8.75 27.15

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 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) 6.311 8.054 13.211 227.391 578.391 601.165 828.634 565.180 593.111 234.815 264.521 µs 0.5006 1.425

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) 10.409 15.593 21.992 65.732 193.085 287.241 410.924 171.093 271.648 58.469 82.297 µs 3.054 11.66

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 9.684 12.672 18.266 36.027 71.659 126.911 303.211 53.393 114.239 26.871 39.945 µs 8.074 75.94

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.



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) 6.668 10.711 13.558 26.838 72.327 255.366 347.642 58.769 244.655 39.906 36.224 µs 4.911 31.48

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) 8.963 12.903 17.863 33.607 65.585 77.609 98.164 47.722 64.706 14.300 36.527 µs 9.396 30.47

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) 0.015 0.018 0.028 0.083 51.697 66.319 70.941 51.670 66.300 20.181 15.043 ms 0.08998 1.76

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) 1.904 4.942 7.063 15.795 33.177 42.489 75.386 26.114 37.547 8.157 17.289 µs 5.995 20.17

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 81.867 81.889 81.909 81.940 81.971 81.982 82.007 0.062 0.092 0.0192 81.940 ppm 7.774e+10 3.318e+14
Local Clock Time Offset -34.076 -21.911 -16.628 -2.920 27.051 38.973 73.592 43.679 60.884 13.147 -0.001 µs -2.952 7.089
Local RMS Frequency Jitter 2.280 3.193 3.836 6.148 8.909 10.533 14.198 5.073 7.340 1.586 6.221 ppb 34.17 133
Local RMS Time Jitter 5.844 8.744 10.384 17.100 25.664 29.824 42.698 15.280 21.080 4.705 17.456 µs 28.53 106.7
Server Jitter 132.246.11.229 0.035 0.069 0.129 0.506 1.431 79.737 124.969 1.302 79.668 13.054 2.225 ms 5.697 55.47
Server Jitter 134.84.84.84 0.000 0.000 0.000 13.941 42.967 42.967 42.967 42.967 42.967 12.893 15.184 µs 1.306 3.668
Server Jitter 204.9.54.119 6.515 7.146 10.627 19.992 44.254 59.605 66.229 33.627 52.459 10.658 22.663 µs 6.408 22.51
Server Jitter 2600:2600::99 (ntp1.wiktel.com) 4.934 8.745 12.659 22.875 44.917 54.902 60.169 32.258 46.157 10.145 25.381 µs 8.75 27.15
Server Jitter 2602:fde5:2a::12 (ntp2.torix.ca) 6.311 8.054 13.211 227.391 578.391 601.165 828.634 565.180 593.111 234.815 264.521 µs 0.5006 1.425
Server Jitter 2606:4700:f1::123 (time.cloudflare.com) 10.409 15.593 21.992 65.732 193.085 287.241 410.924 171.093 271.648 58.469 82.297 µs 3.054 11.66
Server Jitter 2607:f128::50 9.684 12.672 18.266 36.027 71.659 126.911 303.211 53.393 114.239 26.871 39.945 µs 8.074 75.94
Server Jitter 2607:f388::123:2 (ntp2.doit.wisc.edu) 6.668 10.711 13.558 26.838 72.327 255.366 347.642 58.769 244.655 39.906 36.224 µs 4.911 31.48
Server Jitter 2610:20:6f96:96::6 (time-e-b.nist.gov) 8.963 12.903 17.863 33.607 65.585 77.609 98.164 47.722 64.706 14.300 36.527 µs 9.396 30.47
Server Jitter 2620:149:a33:4000::21 (usnyc3-ntp-002.aaplimg.com) 0.015 0.018 0.028 0.083 51.697 66.319 70.941 51.670 66.300 20.181 15.043 ms 0.08998 1.76
Server Jitter PPS(0) 1.904 4.942 7.063 15.795 33.177 42.489 75.386 26.114 37.547 8.157 17.289 µs 5.995 20.17
Server Offset 132.246.11.229 1.902 1.935 1.986 2.082 2.166 2.201 2.251 0.181 0.265 0.056 2.077 ms 4.813e+04 1.754e+06
Server Offset 134.84.84.84 -36.113 -36.113 -36.113 -9.780 12.618 12.618 12.618 48.731 48.731 14.771 -10.229 µs -9.985 28.06
Server Offset 204.9.54.119 33.523 36.349 42.700 63.637 91.271 104.376 115.951 48.571 68.027 15.024 64.691 µs 46.51 194.2
Server Offset 2600:2600::99 (ntp1.wiktel.com) 4.125 8.405 18.970 49.605 81.714 96.358 98.874 62.744 87.953 19.006 49.442 µs 9.064 25.67
Server Offset 2602:fde5:2a::12 (ntp2.torix.ca) 1.143 1.446 1.469 1.506 2.091 2.105 2.134 0.622 0.659 0.258 1.652 ms 174.2 1046
Server Offset 2606:4700:f1::123 (time.cloudflare.com) -966.818 -908.139 -669.656 -228.788 250.511 358.472 433.154 920.167 1,266.611 278.483 -226.704 µs -11.45 33.54
Server Offset 2607:f128::50 236.154 259.103 299.343 354.265 407.258 442.172 485.656 107.915 183.069 34.816 353.990 µs 798 7572
Server Offset 2607:f388::123:2 (ntp2.doit.wisc.edu) -545.093 -534.038 -513.031 -471.697 -405.972 -380.216 -353.401 107.059 153.822 31.847 -468.011 µs -3913 6.213e+04
Server Offset 2610:20:6f96:96::6 (time-e-b.nist.gov) 127.391 135.136 147.813 185.523 231.726 248.426 259.204 83.913 113.290 25.920 187.553 µs 261.5 1754
Server Offset 2620:149:a33:4000::21 (usnyc3-ntp-002.aaplimg.com) 767.480 780.274 789.718 831.984 871.720 885.157 901.980 82.002 104.883 23.409 831.517 µs 4.124e+04 1.427e+06
Server Offset PPS(0) -34.077 -21.912 -16.629 -2.921 27.052 38.974 73.593 43.681 60.886 13.147 -0.001 µs -2.952 7.09
Temp ZONE0 39.000 39.000 40.000 40.000 42.000 42.000 42.000 2.000 3.000 0.673 40.526 °C
Temp ZONE1 37.000 38.000 38.000 39.000 39.000 40.000 40.000 1.000 2.000 0.553 38.688 °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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