NTPsec

A-ntpsec-6-hour-stats

Report generated: Wed Oct 28 12:02:04 2026 UTC
Start Time: Wed Oct 28 06:02:04 2026 UTC
End Time: Wed Oct 28 12:02:04 2026 UTC
Report published: Wed Oct 28 05:02:25 AM 2026 PDT
Report Period: 0.2 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 -3.807 -2.598 -1.683 0.099 1.235 1.640 2.438 2.918 4.238 0.865 0.008 µs -0.7862 4.054
Local Clock Frequency Offset 124.100 125.778 126.907 135.437 140.182 141.296 142.395 13.275 15.518 4.082 134.823 ppb -0.5825 2.43

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 0.540 0.639 0.757 1.144 1.713 1.975 2.302 0.956 1.336 0.296 1.179 µs 0.5504 3.091

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 194.000 230.000 268.000 400.000 589.000 668.000 761.000 321.000 438.000 98.245 411.134 10e-12 0.4805 2.853

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 -3.807 -2.598 -1.683 0.099 1.235 1.640 2.438 2.918 4.238 0.865 0.008 µs -0.7862 4.054

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 124.100 125.778 126.907 135.437 140.182 141.296 142.395 13.275 15.518 4.082 134.823 ppb -0.5825 2.43
Temp ZONE0 54.768 54.768 55.306 55.844 56.920 56.920 56.920 1.614 2.152 0.523 56.013 °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 7.000 8.000 9.000 10.000 13.000 14.000 14.000 4.000 6.000 1.243 10.234 nSat 0.9092 3.837
TDOP 0.500 0.500 0.550 0.810 1.170 1.230 1.460 0.620 0.730 0.190 0.831 0.3972 2.736

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 -1.785 -1.785 -0.696 1.542 5.202 7.297 7.297 5.898 9.083 1.935 1.959 ms 0.6253 2.917

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 1.809 1.809 2.109 3.230 5.070 5.565 5.565 2.961 3.755 0.858 3.411 ms 0.7701 3.094

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) 0.292 0.292 1.943 4.260 6.219 6.825 6.825 4.277 6.533 1.392 4.024 ms -0.2428 2.689

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) 1.304 1.304 1.963 4.568 6.568 7.132 7.132 4.605 5.828 1.429 4.165 ms 0.02838 1.961

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) 2.131 2.131 2.900 5.246 5.776 5.841 5.841 2.876 3.710 1.056 4.545 ms -0.4274 1.733

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) 2.515 2.515 3.161 3.832 5.536 5.744 5.744 2.375 3.229 0.706 3.959 ms 1.073 3.763

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 1.868 1.868 2.199 3.394 4.986 5.288 5.288 2.786 3.420 0.693 3.393 ms 0.6205 4.114

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) -135.110 -134.995 -134.322 -130.421 -128.803 -128.269 -127.701 5.518 6.725 1.648 -130.811 ms -0.9075 3.073

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) -3.808 -2.599 -1.684 0.100 1.236 1.641 2.439 2.920 4.240 0.866 0.008 µs -0.7853 4.049

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 1.081 1.081 1.378 3.157 5.895 6.669 6.669 4.517 5.588 1.309 3.228 ms 0.5398 2.736

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 0.625 0.625 0.738 1.952 3.473 10.548 10.548 2.735 9.923 1.357 2.138 ms 3.689 22.46

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) 0.234 0.234 0.907 1.963 4.910 10.034 10.034 4.003 9.800 1.538 2.221 ms 3.401 16.86

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) 0.425 0.425 0.672 1.893 11.373 11.976 11.976 10.700 11.550 2.613 2.545 ms 2.684 9.306

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) 0.284 0.284 0.492 1.673 7.515 15.385 15.385 7.023 15.101 2.977 2.471 ms 3.226 13.41

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) 0.701 0.701 1.117 2.048 3.435 3.604 3.604 2.318 2.903 0.701 2.120 ms 0.2599 2.383

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 0.638 0.638 0.838 1.513 3.376 4.646 4.646 2.539 4.008 0.864 1.772 ms 1.442 4.739

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) 0.056 0.079 0.126 0.438 1.119 1.345 1.728 0.994 1.267 0.308 0.520 ms 0.9836 3.605

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) 0.196 0.369 0.490 1.024 2.155 2.891 4.376 1.665 2.522 0.525 1.139 µs 1.31 5.525

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 124.100 125.778 126.907 135.437 140.182 141.296 142.395 13.275 15.518 4.082 134.823 ppb -0.5825 2.43
Local Clock Time Offset -3.807 -2.598 -1.683 0.099 1.235 1.640 2.438 2.918 4.238 0.865 0.008 µs -0.7862 4.054
Local RMS Frequency Jitter 194.000 230.000 268.000 400.000 589.000 668.000 761.000 321.000 438.000 98.245 411.134 10e-12 0.4805 2.853
Local RMS Time Jitter 0.540 0.639 0.757 1.144 1.713 1.975 2.302 0.956 1.336 0.296 1.179 µs 0.5504 3.091
Server Jitter 173.8.172.33 1.081 1.081 1.378 3.157 5.895 6.669 6.669 4.517 5.588 1.309 3.228 ms 0.5398 2.736
Server Jitter 2001:5a8:601:4005::36 0.625 0.625 0.738 1.952 3.473 10.548 10.548 2.735 9.923 1.357 2.138 ms 3.689 22.46
Server Jitter 2600:1f13:eda:9800:bcd8:839c:9b40:25b2 (oregon.time.system76.com) 0.234 0.234 0.907 1.963 4.910 10.034 10.034 4.003 9.800 1.538 2.221 ms 3.401 16.86
Server Jitter 2600:3c02::f03c:93ff:fecf:972e (time.cifelli.xyz) 0.425 0.425 0.672 1.893 11.373 11.976 11.976 10.700 11.550 2.613 2.545 ms 2.684 9.306
Server Jitter 2606:4700:f1::1 (time.cloudflare.com) 0.284 0.284 0.492 1.673 7.515 15.385 15.385 7.023 15.101 2.977 2.471 ms 3.226 13.41
Server Jitter 2607:f140:ffff:8000:0:8006:0:a (ntp1.net.berkeley.edu) 0.701 0.701 1.117 2.048 3.435 3.604 3.604 2.318 2.903 0.701 2.120 ms 0.2599 2.383
Server Jitter 66.220.9.122 0.638 0.638 0.838 1.513 3.376 4.646 4.646 2.539 4.008 0.864 1.772 ms 1.442 4.739
Server Jitter SHM(0) 0.056 0.079 0.126 0.438 1.119 1.345 1.728 0.994 1.267 0.308 0.520 ms 0.9836 3.605
Server Jitter SHM(1) 0.196 0.369 0.490 1.024 2.155 2.891 4.376 1.665 2.522 0.525 1.139 µs 1.31 5.525
Server Offset 173.8.172.33 -1.785 -1.785 -0.696 1.542 5.202 7.297 7.297 5.898 9.083 1.935 1.959 ms 0.6253 2.917
Server Offset 2001:5a8:601:4005::36 1.809 1.809 2.109 3.230 5.070 5.565 5.565 2.961 3.755 0.858 3.411 ms 0.7701 3.094
Server Offset 2600:1f13:eda:9800:bcd8:839c:9b40:25b2 (oregon.time.system76.com) 0.292 0.292 1.943 4.260 6.219 6.825 6.825 4.277 6.533 1.392 4.024 ms -0.2428 2.689
Server Offset 2600:3c02::f03c:93ff:fecf:972e (time.cifelli.xyz) 1.304 1.304 1.963 4.568 6.568 7.132 7.132 4.605 5.828 1.429 4.165 ms 0.02838 1.961
Server Offset 2606:4700:f1::1 (time.cloudflare.com) 2.131 2.131 2.900 5.246 5.776 5.841 5.841 2.876 3.710 1.056 4.545 ms -0.4274 1.733
Server Offset 2607:f140:ffff:8000:0:8006:0:a (ntp1.net.berkeley.edu) 2.515 2.515 3.161 3.832 5.536 5.744 5.744 2.375 3.229 0.706 3.959 ms 1.073 3.763
Server Offset 66.220.9.122 1.868 1.868 2.199 3.394 4.986 5.288 5.288 2.786 3.420 0.693 3.393 ms 0.6205 4.114
Server Offset SHM(0) -135.110 -134.995 -134.322 -130.421 -128.803 -128.269 -127.701 5.518 6.725 1.648 -130.811 ms -0.9075 3.073
Server Offset SHM(1) -3.808 -2.599 -1.684 0.100 1.236 1.641 2.439 2.920 4.240 0.866 0.008 µs -0.7853 4.049
TDOP 0.500 0.500 0.550 0.810 1.170 1.230 1.460 0.620 0.730 0.190 0.831 0.3972 2.736
Temp ZONE0 54.768 54.768 55.306 55.844 56.920 56.920 56.920 1.614 2.152 0.523 56.013 °C
nSats 7.000 8.000 9.000 10.000 13.000 14.000 14.000 4.000 6.000 1.243 10.234 nSat 0.9092 3.837
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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