NTPsec

crane1.services.mbix.ca

Report generated: Sun Oct 11 19:53:00 2026 UTC
Start Time: Sat Oct 10 19:53:00 2026 UTC
End Time: Sun Oct 11 19:53:00 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 -39.336 -23.474 -17.660 -3.229 29.260 42.013 59.570 46.920 65.487 14.085 -0.030 µs -2.972 6.836
Local Clock Frequency Offset 72.883 72.897 72.906 72.971 73.075 73.089 73.127 0.169 0.192 0.059 72.984 ppm 1.871e+09 2.306e+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 5.917 8.545 10.566 18.522 27.431 31.452 38.035 16.865 22.907 5.108 18.684 µs 27.01 97.97

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 2.395 3.224 3.937 6.608 9.608 10.791 15.102 5.671 7.567 1.715 6.662 ppb 32.98 125.9

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 -39.336 -23.474 -17.660 -3.229 29.260 42.013 59.570 46.920 65.487 14.085 -0.030 µs -2.972 6.836

The clock offsets of the local clock as a histogram.

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



Local Temperatures

local temps plot

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

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



Local Frequency/Temp

local freq temps plot

Percentiles...... Ranges...... Skew- Kurt-
Name Min1%5%50%95% 99%Max   90%98%StdDev  MeanUnits nessosis
Local Clock Frequency Offset 72.883 72.897 72.906 72.971 73.075 73.089 73.127 0.169 0.192 0.059 72.984 ppm 1.871e+09 2.306e+12
Temp ZONE0 40.000 40.000 41.000 42.000 44.000 45.000 46.000 3.000 5.000 1.101 42.200 °C
Temp ZONE1 35.000 35.000 36.000 37.000 38.000 39.000 39.000 2.000 4.000 0.786 36.758 °C

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

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



Server Offsets

peer offsets plot

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

Clock Offset is field 5 in the peerstats log file.



Server Offset 128.101.101.101

peer offset 128.101.101.101 plot

Percentiles...... Ranges...... Skew- Kurt-
Name Min1%5%50%95% 99%Max   90%98%StdDev  MeanUnits nessosis
Server Offset 128.101.101.101 5.544 5.544 5.544 52.932 191.526 191.526 191.526 185.982 185.982 56.066 71.524 µs 1.645 3.667

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

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

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

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



Server Offset 128.233.154.245

peer offset 128.233.154.245 plot

Percentiles...... Ranges...... Skew- Kurt-
Name Min1%5%50%95% 99%Max   90%98%StdDev  MeanUnits nessosis
Server Offset 128.233.154.245 -24.882 -18.201 -8.960 23.072 54.562 58.409 63.924 63.522 76.610 18.449 22.700 µs 0.5031 2.622

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

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

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

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



Server Offset 132.246.11.238

peer offset 132.246.11.238 plot

Percentiles...... Ranges...... Skew- Kurt-
Name Min1%5%50%95% 99%Max   90%98%StdDev  MeanUnits nessosis
Server Offset 132.246.11.238 102.506 474.406 519.506 615.932 699.769 722.856 803.347 180.263 248.450 63.221 613.631 µs 684.2 6152

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

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

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

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



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

peer offset 2600:2600::199 plot

Percentiles...... Ranges...... Skew- Kurt-
Name Min1%5%50%95% 99%Max   90%98%StdDev  MeanUnits nessosis
Server Offset 2600:2600::199 (ntp2.wiktel.com) -12.776 -11.216 -4.301 28.598 59.931 75.883 87.118 64.232 87.099 19.097 27.705 µs 1.621 4.328

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

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

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

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



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

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

Percentiles...... Ranges...... Skew- Kurt-
Name Min1%5%50%95% 99%Max   90%98%StdDev  MeanUnits nessosis
Server Offset 2602:fde5:2a::11 (ntp1.torix.ca) 8.337 8.341 8.355 8.392 8.429 8.451 8.461 0.074 0.110 0.023 8.392 ms 4.937e+07 1.811e+10

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

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

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

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



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

peer offset 2606:4700:f1::1 plot

Percentiles...... Ranges...... Skew- Kurt-
Name Min1%5%50%95% 99%Max   90%98%StdDev  MeanUnits nessosis
Server Offset 2606:4700:f1::1 (time.cloudflare.com) -782.850 -765.986 -684.567 -460.918 -160.337 -90.755 -63.850 524.230 675.231 159.662 -441.520 µs -64.37 283.9

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

peer offset 2607:f388::123:1 plot

Percentiles...... Ranges...... Skew- Kurt-
Name Min1%5%50%95% 99%Max   90%98%StdDev  MeanUnits nessosis
Server Offset 2607:f388::123:1 (ntp1.doit.wisc.edu) -746.800 -731.592 -632.221 -474.007 -277.067 -176.151 -151.685 355.154 555.441 88.865 -468.216 µs -264.8 1778

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

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

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

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



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

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

Percentiles...... Ranges...... Skew- Kurt-
Name Min1%5%50%95% 99%Max   90%98%StdDev  MeanUnits nessosis
Server Offset 2610:20:6f97:97::6 (time-e-wwv.nist.gov) -53.627 -44.323 -29.936 13.510 62.765 81.641 89.990 92.701 125.964 28.168 15.019 µs -1.326 3.617

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) 759.569 764.301 778.175 831.873 879.256 891.484 903.882 101.081 127.183 30.765 828.831 µs 1.753e+04 4.568e+05

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

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

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

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



Server Offset PPS(0)

peer offset PPS(0) plot

Percentiles...... Ranges...... Skew- Kurt-
Name Min1%5%50%95% 99%Max   90%98%StdDev  MeanUnits nessosis
Server Offset PPS(0) -39.337 -23.475 -17.661 -3.230 29.261 42.014 59.571 46.922 65.489 14.086 -0.030 µs -2.972 6.836

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

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

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

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



Server Jitters

peer jitters plot

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

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

RMS Jitter is field 8 in the peerstats log file.



Server Jitter 128.101.101.101

peer jitter 128.101.101.101 plot

Percentiles...... Ranges...... Skew- Kurt-
Name Min1%5%50%95% 99%Max   90%98%StdDev  MeanUnits nessosis
Server Jitter 128.101.101.101 0.000 0.000 0.000 24.318 51.864 51.864 51.864 51.864 51.864 14.295 23.597 µs 2.086 4.704

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

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

RMS Jitter is field 8 in the peerstats log file.



Server Jitter 128.233.154.245

peer jitter 128.233.154.245 plot

Percentiles...... Ranges...... Skew- Kurt-
Name Min1%5%50%95% 99%Max   90%98%StdDev  MeanUnits nessosis
Server Jitter 128.233.154.245 0.008 0.010 0.013 0.026 0.132 2.775 2.792 0.119 2.765 0.439 0.120 ms 2.347 15.72

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

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

RMS Jitter is field 8 in the peerstats log file.



Server Jitter 132.246.11.238

peer jitter 132.246.11.238 plot

Percentiles...... Ranges...... Skew- Kurt-
Name Min1%5%50%95% 99%Max   90%98%StdDev  MeanUnits nessosis
Server Jitter 132.246.11.238 0.032 0.046 0.069 0.466 3.367 67.271 75.166 3.298 67.224 8.233 1.769 ms 5.402 48.39

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

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

RMS Jitter is field 8 in the peerstats log file.



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

peer jitter 2600:2600::199 plot

Percentiles...... Ranges...... Skew- Kurt-
Name Min1%5%50%95% 99%Max   90%98%StdDev  MeanUnits nessosis
Server Jitter 2600:2600::199 (ntp2.wiktel.com) 0.008 0.009 0.012 0.023 0.044 1.594 1.599 0.033 1.585 0.158 0.040 ms 7.04 70.02

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

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

RMS Jitter is field 8 in the peerstats log file.



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

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

Percentiles...... Ranges...... Skew- Kurt-
Name Min1%5%50%95% 99%Max   90%98%StdDev  MeanUnits nessosis
Server Jitter 2602:fde5:2a::11 (ntp1.torix.ca) 9.379 10.079 12.734 24.046 53.266 66.622 71.293 40.532 56.543 11.995 27.156 µs 6.959 22.01

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

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

RMS Jitter is field 8 in the peerstats log file.



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

peer jitter 2606:4700:f1::1 plot

Percentiles...... Ranges...... Skew- Kurt-
Name Min1%5%50%95% 99%Max   90%98%StdDev  MeanUnits nessosis
Server Jitter 2606:4700:f1::1 (time.cloudflare.com) 4.321 9.355 14.216 33.070 105.157 209.619 275.818 90.941 200.264 33.638 42.438 µs 4.226 23.21

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

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

RMS Jitter is field 8 in the peerstats log file.



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

peer jitter 2607:f388::123:1 plot

Percentiles...... Ranges...... Skew- Kurt-
Name Min1%5%50%95% 99%Max   90%98%StdDev  MeanUnits nessosis
Server Jitter 2607:f388::123:1 (ntp1.doit.wisc.edu) 8.919 11.357 14.651 29.428 111.053 784.452 796.442 96.402 773.095 103.890 52.493 µs 4.205 28.4

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

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

Percentiles...... Ranges...... Skew- Kurt-
Name Min1%5%50%95% 99%Max   90%98%StdDev  MeanUnits nessosis
Server Jitter 2610:20:6f97:97::6 (time-e-wwv.nist.gov) 8.047 11.721 19.802 36.469 66.405 100.623 116.605 46.603 88.902 15.681 39.328 µs 9.34 34.06

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.



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) 0.010 0.011 0.020 1.335 58.178 68.080 74.788 58.158 68.069 21.292 17.527 ms 0.2474 1.869

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) 1.690 4.713 6.766 17.022 35.693 46.272 65.133 28.927 41.559 8.933 18.434 µs 5.432 16.9

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.



Summary


Percentiles...... Ranges...... Skew- Kurt-
Name Min1%5%50%95% 99%Max   90%98%StdDev  MeanUnits nessosis
Local Clock Frequency Offset 72.883 72.897 72.906 72.971 73.075 73.089 73.127 0.169 0.192 0.059 72.984 ppm 1.871e+09 2.306e+12
Local Clock Time Offset -39.336 -23.474 -17.660 -3.229 29.260 42.013 59.570 46.920 65.487 14.085 -0.030 µs -2.972 6.836
Local RMS Frequency Jitter 2.395 3.224 3.937 6.608 9.608 10.791 15.102 5.671 7.567 1.715 6.662 ppb 32.98 125.9
Local RMS Time Jitter 5.917 8.545 10.566 18.522 27.431 31.452 38.035 16.865 22.907 5.108 18.684 µs 27.01 97.97
Server Jitter 128.101.101.101 0.000 0.000 0.000 24.318 51.864 51.864 51.864 51.864 51.864 14.295 23.597 µs 2.086 4.704
Server Jitter 128.233.154.245 0.008 0.010 0.013 0.026 0.132 2.775 2.792 0.119 2.765 0.439 0.120 ms 2.347 15.72
Server Jitter 132.246.11.238 0.032 0.046 0.069 0.466 3.367 67.271 75.166 3.298 67.224 8.233 1.769 ms 5.402 48.39
Server Jitter 2600:2600::199 (ntp2.wiktel.com) 0.008 0.009 0.012 0.023 0.044 1.594 1.599 0.033 1.585 0.158 0.040 ms 7.04 70.02
Server Jitter 2602:fde5:2a::11 (ntp1.torix.ca) 9.379 10.079 12.734 24.046 53.266 66.622 71.293 40.532 56.543 11.995 27.156 µs 6.959 22.01
Server Jitter 2606:4700:f1::1 (time.cloudflare.com) 4.321 9.355 14.216 33.070 105.157 209.619 275.818 90.941 200.264 33.638 42.438 µs 4.226 23.21
Server Jitter 2607:f388::123:1 (ntp1.doit.wisc.edu) 8.919 11.357 14.651 29.428 111.053 784.452 796.442 96.402 773.095 103.890 52.493 µs 4.205 28.4
Server Jitter 2610:20:6f97:97::6 (time-e-wwv.nist.gov) 8.047 11.721 19.802 36.469 66.405 100.623 116.605 46.603 88.902 15.681 39.328 µs 9.34 34.06
Server Jitter 2620:149:a33:3000::21 (usnyc3-ntp-001.aaplimg.com) 0.010 0.011 0.020 1.335 58.178 68.080 74.788 58.158 68.069 21.292 17.527 ms 0.2474 1.869
Server Jitter PPS(0) 1.690 4.713 6.766 17.022 35.693 46.272 65.133 28.927 41.559 8.933 18.434 µs 5.432 16.9
Server Offset 128.101.101.101 5.544 5.544 5.544 52.932 191.526 191.526 191.526 185.982 185.982 56.066 71.524 µs 1.645 3.667
Server Offset 128.233.154.245 -24.882 -18.201 -8.960 23.072 54.562 58.409 63.924 63.522 76.610 18.449 22.700 µs 0.5031 2.622
Server Offset 132.246.11.238 102.506 474.406 519.506 615.932 699.769 722.856 803.347 180.263 248.450 63.221 613.631 µs 684.2 6152
Server Offset 2600:2600::199 (ntp2.wiktel.com) -12.776 -11.216 -4.301 28.598 59.931 75.883 87.118 64.232 87.099 19.097 27.705 µs 1.621 4.328
Server Offset 2602:fde5:2a::11 (ntp1.torix.ca) 8.337 8.341 8.355 8.392 8.429 8.451 8.461 0.074 0.110 0.023 8.392 ms 4.937e+07 1.811e+10
Server Offset 2606:4700:f1::1 (time.cloudflare.com) -782.850 -765.986 -684.567 -460.918 -160.337 -90.755 -63.850 524.230 675.231 159.662 -441.520 µs -64.37 283.9
Server Offset 2607:f388::123:1 (ntp1.doit.wisc.edu) -746.800 -731.592 -632.221 -474.007 -277.067 -176.151 -151.685 355.154 555.441 88.865 -468.216 µs -264.8 1778
Server Offset 2610:20:6f97:97::6 (time-e-wwv.nist.gov) -53.627 -44.323 -29.936 13.510 62.765 81.641 89.990 92.701 125.964 28.168 15.019 µs -1.326 3.617
Server Offset 2620:149:a33:3000::21 (usnyc3-ntp-001.aaplimg.com) 759.569 764.301 778.175 831.873 879.256 891.484 903.882 101.081 127.183 30.765 828.831 µs 1.753e+04 4.568e+05
Server Offset PPS(0) -39.337 -23.475 -17.661 -3.230 29.261 42.014 59.571 46.922 65.489 14.086 -0.030 µs -2.972 6.836
Temp ZONE0 40.000 40.000 41.000 42.000 44.000 45.000 46.000 3.000 5.000 1.101 42.200 °C
Temp ZONE1 35.000 35.000 36.000 37.000 38.000 39.000 39.000 2.000 4.000 0.786 36.758 °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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