NTPsec

crane2.services.mbix.ca

Report generated: Mon Apr 20 13:53:16 2026 UTC
Start Time: Sun Apr 19 13:53:16 2026 UTC
End Time: Mon Apr 20 13:53:16 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 -36.679 -21.038 -15.888 -2.688 25.506 39.394 75.398 41.394 60.432 12.730 0.095 µs -2.838 7.141
Local Clock Frequency Offset 81.654 81.675 81.700 82.138 82.237 82.257 82.299 0.538 0.582 0.135 82.103 ppm 2.251e+08 1.369e+11

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 5.934 8.441 10.008 16.286 25.613 30.487 43.575 15.605 22.046 4.901 16.837 µs 22.49 81.75

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 2.276 3.194 3.721 5.848 8.838 10.238 13.644 5.117 7.044 1.601 6.006 ppb 29.7 112.9

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 -36.679 -21.038 -15.888 -2.688 25.506 39.394 75.398 41.394 60.432 12.730 0.095 µs -2.838 7.141

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 81.654 81.675 81.700 82.138 82.237 82.257 82.299 0.538 0.582 0.135 82.103 ppm 2.251e+08 1.369e+11
Temp ZONE0 36.000 37.000 37.000 40.000 41.000 42.000 42.000 4.000 5.000 1.108 39.710 °C
Temp ZONE1 34.000 34.000 35.000 38.000 39.000 39.000 40.000 4.000 5.000 1.057 37.517 °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 132.246.11.237

peer offset 132.246.11.237 plot

Percentiles...... Ranges...... Skew- Kurt-
Name Min1%5%50%95% 99%Max   90%98%StdDev  MeanUnits nessosis
Server Offset 132.246.11.237 1.818 1.839 1.879 1.965 2.078 2.111 2.142 0.199 0.272 0.059 1.971 ms 3.42e+04 1.112e+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 37.327 40.232 59.968 96.185 144.053 172.539 181.933 84.085 132.307 25.610 98.311 µs 31.84 121.6

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 18.498 26.520 36.877 59.490 84.384 100.425 110.744 47.507 73.905 15.232 59.663 µs 33.88 130.3

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) -7.249 7.461 17.255 44.397 82.766 96.349 116.747 65.511 88.888 19.769 45.829 µs 6.794 19.78

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

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 1.186 1.196 1.210 1.253 1.878 1.892 1.916 0.667 0.695 0.279 1.420 ms 81.89 398.8

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 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) -2.032 -2.004 -1.960 -1.838 -1.723 -1.664 -1.615 0.236 0.341 0.072 -1.836 ms -1.867e+04 4.968e+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 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) -0.490 -0.462 -0.315 1.094 4.618 7.441 9.380 4.933 7.903 1.695 1.501 ms 1.274 5.637

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) -29.952 -17.659 -2.570 39.448 78.266 101.279 116.662 80.836 118.938 25.438 38.569 µs 1.755 4.695

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) 767.280 779.174 804.097 848.406 885.173 893.970 898.279 81.076 114.796 25.355 845.141 µs 3.39e+04 1.099e+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) -36.680 -21.039 -15.889 -2.689 25.507 39.395 75.399 41.396 60.434 12.731 0.095 µs -2.838 7.141

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 132.246.11.237

peer jitter 132.246.11.237 plot

Percentiles...... Ranges...... Skew- Kurt-
Name Min1%5%50%95% 99%Max   90%98%StdDev  MeanUnits nessosis
Server Jitter 132.246.11.237 0.045 0.061 0.091 0.418 2.158 6.492 91.990 2.067 6.432 9.124 1.670 ms 6.668 68.51

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 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 10.376 11.502 15.778 29.167 57.146 86.452 89.936 41.368 74.950 13.500 32.113 µs 8.15 28.43

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.



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 4.526 7.727 11.230 22.198 42.344 50.450 68.981 31.114 42.723 9.808 23.908 µs 8.407 28.29

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) 7.752 9.410 11.978 24.575 45.430 58.074 81.614 33.452 48.664 10.611 25.847 µs 8.436 28.87

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

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 5.945 10.056 12.727 37.822 620.403 638.791 649.929 607.676 628.735 246.344 213.578 µs 0.2637 1.361

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) 9.392 10.365 14.335 26.119 76.267 157.349 420.057 61.932 146.984 30.587 34.017 µs 7.988 93.49

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.



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) 3.811 5.495 6.620 15.551 26.411 35.270 36.221 19.791 29.775 6.256 15.636 ms 8.405 24.79

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) 0.010 0.011 0.018 0.034 0.059 0.103 16.615 0.041 0.092 1.646 0.200 ms 6.554 68.9

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) 0.014 0.022 0.028 0.944 43.160 59.328 59.398 43.133 59.307 15.291 11.082 ms 0.543 3.048

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) 1.629 4.785 6.780 15.081 31.975 43.106 79.716 25.195 38.321 8.100 16.618 µs 5.7 20.06

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 81.654 81.675 81.700 82.138 82.237 82.257 82.299 0.538 0.582 0.135 82.103 ppm 2.251e+08 1.369e+11
Local Clock Time Offset -36.679 -21.038 -15.888 -2.688 25.506 39.394 75.398 41.394 60.432 12.730 0.095 µs -2.838 7.141
Local RMS Frequency Jitter 2.276 3.194 3.721 5.848 8.838 10.238 13.644 5.117 7.044 1.601 6.006 ppb 29.7 112.9
Local RMS Time Jitter 5.934 8.441 10.008 16.286 25.613 30.487 43.575 15.605 22.046 4.901 16.837 µs 22.49 81.75
Server Jitter 132.246.11.237 0.045 0.061 0.091 0.418 2.158 6.492 91.990 2.067 6.432 9.124 1.670 ms 6.668 68.51
Server Jitter 134.84.84.84 10.376 11.502 15.778 29.167 57.146 86.452 89.936 41.368 74.950 13.500 32.113 µs 8.15 28.43
Server Jitter 204.9.54.119 4.526 7.727 11.230 22.198 42.344 50.450 68.981 31.114 42.723 9.808 23.908 µs 8.407 28.29
Server Jitter 2600:2600::99 (ntp1.wiktel.com) 7.752 9.410 11.978 24.575 45.430 58.074 81.614 33.452 48.664 10.611 25.847 µs 8.436 28.87
Server Jitter 2602:fde5:2a::12 5.945 10.056 12.727 37.822 620.403 638.791 649.929 607.676 628.735 246.344 213.578 µs 0.2637 1.361
Server Jitter 2606:4700:f1::123 (time.cloudflare.com) 9.392 10.365 14.335 26.119 76.267 157.349 420.057 61.932 146.984 30.587 34.017 µs 7.988 93.49
Server Jitter 2607:f388::123:2 (ntp2.doit.wisc.edu) 3.811 5.495 6.620 15.551 26.411 35.270 36.221 19.791 29.775 6.256 15.636 ms 8.405 24.79
Server Jitter 2610:20:6f96:96::6 (time-e-b.nist.gov) 0.010 0.011 0.018 0.034 0.059 0.103 16.615 0.041 0.092 1.646 0.200 ms 6.554 68.9
Server Jitter 2620:149:a33:3000::21 (usnyc3-ntp-001.aaplimg.com) 0.014 0.022 0.028 0.944 43.160 59.328 59.398 43.133 59.307 15.291 11.082 ms 0.543 3.048
Server Jitter PPS(0) 1.629 4.785 6.780 15.081 31.975 43.106 79.716 25.195 38.321 8.100 16.618 µs 5.7 20.06
Server Offset 132.246.11.237 1.818 1.839 1.879 1.965 2.078 2.111 2.142 0.199 0.272 0.059 1.971 ms 3.42e+04 1.112e+06
Server Offset 134.84.84.84 37.327 40.232 59.968 96.185 144.053 172.539 181.933 84.085 132.307 25.610 98.311 µs 31.84 121.6
Server Offset 204.9.54.119 18.498 26.520 36.877 59.490 84.384 100.425 110.744 47.507 73.905 15.232 59.663 µs 33.88 130.3
Server Offset 2600:2600::99 (ntp1.wiktel.com) -7.249 7.461 17.255 44.397 82.766 96.349 116.747 65.511 88.888 19.769 45.829 µs 6.794 19.78
Server Offset 2602:fde5:2a::12 1.186 1.196 1.210 1.253 1.878 1.892 1.916 0.667 0.695 0.279 1.420 ms 81.89 398.8
Server Offset 2606:4700:f1::123 (time.cloudflare.com) -2.032 -2.004 -1.960 -1.838 -1.723 -1.664 -1.615 0.236 0.341 0.072 -1.836 ms -1.867e+04 4.968e+05
Server Offset 2607:f388::123:2 (ntp2.doit.wisc.edu) -0.490 -0.462 -0.315 1.094 4.618 7.441 9.380 4.933 7.903 1.695 1.501 ms 1.274 5.637
Server Offset 2610:20:6f96:96::6 (time-e-b.nist.gov) -29.952 -17.659 -2.570 39.448 78.266 101.279 116.662 80.836 118.938 25.438 38.569 µs 1.755 4.695
Server Offset 2620:149:a33:3000::21 (usnyc3-ntp-001.aaplimg.com) 767.280 779.174 804.097 848.406 885.173 893.970 898.279 81.076 114.796 25.355 845.141 µs 3.39e+04 1.099e+06
Server Offset PPS(0) -36.680 -21.039 -15.889 -2.689 25.507 39.395 75.399 41.396 60.434 12.731 0.095 µs -2.838 7.141
Temp ZONE0 36.000 37.000 37.000 40.000 41.000 42.000 42.000 4.000 5.000 1.108 39.710 °C
Temp ZONE1 34.000 34.000 35.000 38.000 39.000 39.000 40.000 4.000 5.000 1.057 37.517 °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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