NTPsec

A-ntpsec-3-hour-stats

Report generated: Sun Nov 1 11:01:33 2026 UTC
Start Time: Sun Nov 1 08:01:33 2026 UTC
End Time: Sun Nov 1 11:01:33 2026 UTC
Report published: Sun Nov 01 03:01:54 AM 2026 PST
Report Period: 0.1 days

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 -3.184 -2.469 -1.586 0.100 1.301 1.710 2.296 2.887 4.179 0.879 0.006 µs -0.566 3.415
Local Clock Frequency Offset 128.265 129.425 130.066 131.821 137.589 139.313 140.121 7.523 9.888 2.234 132.436 ppb 1.387 4.359

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 0.570 0.672 0.780 1.143 1.683 1.993 2.405 0.903 1.321 0.283 1.180 µs 0.704 3.505

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 211.000 252.000 285.000 409.000 595.000 657.000 736.000 310.000 405.000 94.256 419.612 10e-12 0.5181 2.87

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 -3.184 -2.469 -1.586 0.100 1.301 1.710 2.296 2.887 4.179 0.879 0.006 µs -0.566 3.415

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 128.265 129.425 130.066 131.821 137.589 139.313 140.121 7.523 9.888 2.234 132.436 ppb 1.387 4.359
Temp ZONE0 54.768 55.306 55.306 55.844 56.382 56.920 56.920 1.076 1.614 0.311 55.922 °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.



Local GPS

local gps plot

Percentiles...... Ranges...... Skew- Kurt-
Name Min1%5%50%95% 99%Max   90%98%StdDev  MeanUnits nessosis
nSats 9.000 9.000 9.000 10.000 11.000 12.000 12.000 2.000 3.000 0.685 9.883 nSat 0.4638 3.238
TDOP 0.510 0.510 0.610 0.820 1.080 1.110 1.200 0.470 0.600 0.156 0.841 0.006556 2.02

Local GPS. The Time Dilution of Precision (TDOP) is plotted in blue. The number of visible satellites (nSat) is plotted in red.

TDOP is field 3, and nSats is field 4, from the gpsd log file. The gpsd log file is created by the ntploggps program.

TDOP is a dimensionless error factor. Smaller numbers are better. TDOP ranges from 1 (ideal), 2 to 5 (good), to greater than 20 (poor). Some GNSS receivers report TDOP less than one which is theoretically impossible.



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 173.8.172.33

peer offset 173.8.172.33 plot

Percentiles...... Ranges...... Skew- Kurt-
Name Min1%5%50%95% 99%Max   90%98%StdDev  MeanUnits nessosis
Server Offset 173.8.172.33 -0.558 -0.558 -0.352 2.846 4.736 5.051 5.051 5.088 5.608 1.528 2.296 ms -0.212 1.849

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

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

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

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



Server Offset 2001:5a8:601:4005::36

peer offset 2001:5a8:601:4005::36 plot

Percentiles...... Ranges...... Skew- Kurt-
Name Min1%5%50%95% 99%Max   90%98%StdDev  MeanUnits nessosis
Server Offset 2001:5a8:601:4005::36 1.938 1.938 2.576 3.216 3.913 4.012 4.012 1.337 2.073 0.401 3.220 ms -0.7384 4.248

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 2600:1f13:eda:9800:bcd8:839c:9b40:25b2 (oregon.time.system76.com)

peer offset 2600:1f13:eda:9800:bcd8:839c:9b40:25b2 plot

Percentiles...... Ranges...... Skew- Kurt-
Name Min1%5%50%95% 99%Max   90%98%StdDev  MeanUnits nessosis
Server Offset 2600:1f13:eda:9800:bcd8:839c:9b40:25b2 (oregon.time.system76.com) 2.349 2.349 2.790 4.779 6.236 7.007 7.007 3.446 4.658 1.149 4.676 ms -0.1313 2.196

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 2600:3c02::f03c:93ff:fecf:972e (time.cifelli.xyz)

peer offset 2600:3c02::f03c:93ff:fecf:972e plot

Percentiles...... Ranges...... Skew- Kurt-
Name Min1%5%50%95% 99%Max   90%98%StdDev  MeanUnits nessosis
Server Offset 2600:3c02::f03c:93ff:fecf:972e (time.cifelli.xyz) 1.087 1.087 2.173 3.480 5.995 6.093 6.093 3.822 5.005 1.232 3.797 ms 0.06516 1.956

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) 3.009 3.009 3.150 4.027 5.765 5.789 5.789 2.616 2.780 0.889 4.307 ms 0.6307 1.879

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:f140:ffff:8000:0:8006:0:a (ntp1.net.berkeley.edu)

peer offset 2607:f140:ffff:8000:0:8006:0:a plot

Percentiles...... Ranges...... Skew- Kurt-
Name Min1%5%50%95% 99%Max   90%98%StdDev  MeanUnits nessosis
Server Offset 2607:f140:ffff:8000:0:8006:0:a (ntp1.net.berkeley.edu) 3.059 3.059 3.365 3.920 5.486 5.574 5.574 2.121 2.515 0.491 3.958 ms 1.574 6.507

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 66.220.9.122

peer offset 66.220.9.122 plot

Percentiles...... Ranges...... Skew- Kurt-
Name Min1%5%50%95% 99%Max   90%98%StdDev  MeanUnits nessosis
Server Offset 66.220.9.122 1.875 1.875 2.716 3.468 5.314 5.406 5.406 2.598 3.531 0.782 3.650 ms 0.7592 3.346

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 SHM(0)

peer offset SHM(0) plot

Percentiles...... Ranges...... Skew- Kurt-
Name Min1%5%50%95% 99%Max   90%98%StdDev  MeanUnits nessosis
Server Offset SHM(0) -132.866 -132.863 -131.957 -130.024 -129.156 -128.992 -128.863 2.801 3.871 0.885 -130.266 ms -0.9243 3.086

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 SHM(1)

peer offset SHM(1) plot

Percentiles...... Ranges...... Skew- Kurt-
Name Min1%5%50%95% 99%Max   90%98%StdDev  MeanUnits nessosis
Server Offset SHM(1) -3.185 -2.470 -1.587 0.101 1.302 1.711 2.297 2.889 4.181 0.880 0.006 µs -0.5653 3.41

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 173.8.172.33

peer jitter 173.8.172.33 plot

Percentiles...... Ranges...... Skew- Kurt-
Name Min1%5%50%95% 99%Max   90%98%StdDev  MeanUnits nessosis
Server Jitter 173.8.172.33 0.694 0.694 0.907 2.543 5.175 13.471 13.471 4.268 12.777 1.979 2.833 ms 4.032 22.16

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 2001:5a8:601:4005::36

peer jitter 2001:5a8:601:4005::36 plot

Percentiles...... Ranges...... Skew- Kurt-
Name Min1%5%50%95% 99%Max   90%98%StdDev  MeanUnits nessosis
Server Jitter 2001:5a8:601:4005::36 0.656 0.656 0.905 1.473 2.893 9.607 9.607 1.988 8.951 1.414 1.769 ms 4.576 25.54

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 2600:1f13:eda:9800:bcd8:839c:9b40:25b2 (oregon.time.system76.com)

peer jitter 2600:1f13:eda:9800:bcd8:839c:9b40:25b2 plot

Percentiles...... Ranges...... Skew- Kurt-
Name Min1%5%50%95% 99%Max   90%98%StdDev  MeanUnits nessosis
Server Jitter 2600:1f13:eda:9800:bcd8:839c:9b40:25b2 (oregon.time.system76.com) 0.280 0.280 0.416 1.232 2.474 3.025 3.025 2.058 2.745 0.652 1.362 ms 0.3951 2.48

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 2600:3c02::f03c:93ff:fecf:972e (time.cifelli.xyz)

peer jitter 2600:3c02::f03c:93ff:fecf:972e plot

Percentiles...... Ranges...... Skew- Kurt-
Name Min1%5%50%95% 99%Max   90%98%StdDev  MeanUnits nessosis
Server Jitter 2600:3c02::f03c:93ff:fecf:972e (time.cifelli.xyz) 0.395 0.395 0.828 1.715 4.307 4.343 4.343 3.478 3.948 0.887 1.937 ms 1.131 4.172

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) 0.301 0.301 0.701 1.568 10.574 10.739 10.739 9.873 10.438 2.892 2.558 ms 2.175 6.102

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:f140:ffff:8000:0:8006:0:a (ntp1.net.berkeley.edu)

peer jitter 2607:f140:ffff:8000:0:8006:0:a plot

Percentiles...... Ranges...... Skew- Kurt-
Name Min1%5%50%95% 99%Max   90%98%StdDev  MeanUnits nessosis
Server Jitter 2607:f140:ffff:8000:0:8006:0:a (ntp1.net.berkeley.edu) 0.598 0.598 0.655 1.794 4.143 15.819 15.819 3.488 15.221 2.415 2.141 ms 5.024 28.6

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 66.220.9.122

peer jitter 66.220.9.122 plot

Percentiles...... Ranges...... Skew- Kurt-
Name Min1%5%50%95% 99%Max   90%98%StdDev  MeanUnits nessosis
Server Jitter 66.220.9.122 0.414 0.414 0.717 1.596 3.311 8.854 8.854 2.594 8.440 1.348 1.830 ms 3.797 20.1

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

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

RMS Jitter is field 8 in the peerstats log file.



Server Jitter SHM(0)

peer jitter SHM(0) plot

Percentiles...... Ranges...... Skew- Kurt-
Name Min1%5%50%95% 99%Max   90%98%StdDev  MeanUnits nessosis
Server Jitter SHM(0) 0.032 0.032 0.083 0.404 1.223 1.683 1.749 1.139 1.651 0.358 0.506 ms 1.155 4.084

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 SHM(1)

peer jitter SHM(1) plot

Percentiles...... Ranges...... Skew- Kurt-
Name Min1%5%50%95% 99%Max   90%98%StdDev  MeanUnits nessosis
Server Jitter SHM(1) 0.243 0.401 0.531 1.076 2.194 2.777 3.815 1.663 2.376 0.509 1.169 µs 1.217 5.089

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 128.265 129.425 130.066 131.821 137.589 139.313 140.121 7.523 9.888 2.234 132.436 ppb 1.387 4.359
Local Clock Time Offset -3.184 -2.469 -1.586 0.100 1.301 1.710 2.296 2.887 4.179 0.879 0.006 µs -0.566 3.415
Local RMS Frequency Jitter 211.000 252.000 285.000 409.000 595.000 657.000 736.000 310.000 405.000 94.256 419.612 10e-12 0.5181 2.87
Local RMS Time Jitter 0.570 0.672 0.780 1.143 1.683 1.993 2.405 0.903 1.321 0.283 1.180 µs 0.704 3.505
Server Jitter 173.8.172.33 0.694 0.694 0.907 2.543 5.175 13.471 13.471 4.268 12.777 1.979 2.833 ms 4.032 22.16
Server Jitter 2001:5a8:601:4005::36 0.656 0.656 0.905 1.473 2.893 9.607 9.607 1.988 8.951 1.414 1.769 ms 4.576 25.54
Server Jitter 2600:1f13:eda:9800:bcd8:839c:9b40:25b2 (oregon.time.system76.com) 0.280 0.280 0.416 1.232 2.474 3.025 3.025 2.058 2.745 0.652 1.362 ms 0.3951 2.48
Server Jitter 2600:3c02::f03c:93ff:fecf:972e (time.cifelli.xyz) 0.395 0.395 0.828 1.715 4.307 4.343 4.343 3.478 3.948 0.887 1.937 ms 1.131 4.172
Server Jitter 2606:4700:f1::1 (time.cloudflare.com) 0.301 0.301 0.701 1.568 10.574 10.739 10.739 9.873 10.438 2.892 2.558 ms 2.175 6.102
Server Jitter 2607:f140:ffff:8000:0:8006:0:a (ntp1.net.berkeley.edu) 0.598 0.598 0.655 1.794 4.143 15.819 15.819 3.488 15.221 2.415 2.141 ms 5.024 28.6
Server Jitter 66.220.9.122 0.414 0.414 0.717 1.596 3.311 8.854 8.854 2.594 8.440 1.348 1.830 ms 3.797 20.1
Server Jitter SHM(0) 0.032 0.032 0.083 0.404 1.223 1.683 1.749 1.139 1.651 0.358 0.506 ms 1.155 4.084
Server Jitter SHM(1) 0.243 0.401 0.531 1.076 2.194 2.777 3.815 1.663 2.376 0.509 1.169 µs 1.217 5.089
Server Offset 173.8.172.33 -0.558 -0.558 -0.352 2.846 4.736 5.051 5.051 5.088 5.608 1.528 2.296 ms -0.212 1.849
Server Offset 2001:5a8:601:4005::36 1.938 1.938 2.576 3.216 3.913 4.012 4.012 1.337 2.073 0.401 3.220 ms -0.7384 4.248
Server Offset 2600:1f13:eda:9800:bcd8:839c:9b40:25b2 (oregon.time.system76.com) 2.349 2.349 2.790 4.779 6.236 7.007 7.007 3.446 4.658 1.149 4.676 ms -0.1313 2.196
Server Offset 2600:3c02::f03c:93ff:fecf:972e (time.cifelli.xyz) 1.087 1.087 2.173 3.480 5.995 6.093 6.093 3.822 5.005 1.232 3.797 ms 0.06516 1.956
Server Offset 2606:4700:f1::1 (time.cloudflare.com) 3.009 3.009 3.150 4.027 5.765 5.789 5.789 2.616 2.780 0.889 4.307 ms 0.6307 1.879
Server Offset 2607:f140:ffff:8000:0:8006:0:a (ntp1.net.berkeley.edu) 3.059 3.059 3.365 3.920 5.486 5.574 5.574 2.121 2.515 0.491 3.958 ms 1.574 6.507
Server Offset 66.220.9.122 1.875 1.875 2.716 3.468 5.314 5.406 5.406 2.598 3.531 0.782 3.650 ms 0.7592 3.346
Server Offset SHM(0) -132.866 -132.863 -131.957 -130.024 -129.156 -128.992 -128.863 2.801 3.871 0.885 -130.266 ms -0.9243 3.086
Server Offset SHM(1) -3.185 -2.470 -1.587 0.101 1.302 1.711 2.297 2.889 4.181 0.880 0.006 µs -0.5653 3.41
TDOP 0.510 0.510 0.610 0.820 1.080 1.110 1.200 0.470 0.600 0.156 0.841 0.006556 2.02
Temp ZONE0 54.768 55.306 55.306 55.844 56.382 56.920 56.920 1.076 1.614 0.311 55.922 °C
nSats 9.000 9.000 9.000 10.000 11.000 12.000 12.000 2.000 3.000 0.685 9.883 nSat 0.4638 3.238
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.
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 FIsher-Pearson moment of skewness. There are other different ways to calculate Skewness Wikipedia describes Skewness best: "The qualitative interpretation of the skew is complicated and unintuitive."
A normal distribution has a skewness of zero.
Kurtosis, Kurt:
The kurtosis of a random variable X is the fourth standardized moment and is a dimension-less ratio. ntpviz uses standard Kurtosis. There are other different ways to calculate 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".
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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