NTPsec

A-ntpsec-1-hour-stats

Report generated: Fri Aug 21 21:01:01 2026 UTC
Start Time: Fri Aug 21 20:00:33 2026 UTC
End Time: Fri Aug 21 21:01:01 2026 UTC
Report published: Fri Aug 21 02:01:23 PM 2026 PDT
Report Period: 0.0 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 -2.089 -1.738 -1.079 0.054 1.375 1.687 2.036 2.454 3.425 0.743 0.067 µs 0.02386 2.739
Local Clock Frequency Offset 81.924 82.993 83.740 87.830 96.222 96.909 97.382 12.482 13.916 4.048 88.780 ppb 0.5537 2.137

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 0.594 0.645 0.716 1.027 1.321 1.559 1.774 0.605 0.914 0.181 1.026 µs 0.3718 3.88

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 233.000 250.000 274.000 355.000 480.000 518.000 556.000 206.000 268.000 60.097 361.669 10e-12 0.5812 3.089

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 -2.089 -1.738 -1.079 0.054 1.375 1.687 2.036 2.454 3.425 0.743 0.067 µs 0.02386 2.739

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 81.924 82.993 83.740 87.830 96.222 96.909 97.382 12.482 13.916 4.048 88.780 ppb 0.5537 2.137
Temp ZONE0 50.464 50.464 51.002 51.540 52.078 52.078 52.078 1.076 1.614 0.285 51.488 °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 8.000 8.000 8.000 10.000 11.000 11.000 11.000 3.000 3.000 0.985 9.783 nSat 0.02495 1.661
TDOP 0.570 0.570 0.580 0.800 1.240 1.290 1.290 0.660 0.720 0.193 0.813 0.3655 2.439

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 -0.742 -0.742 -0.742 2.815 3.572 3.572 3.572 4.314 4.314 1.384 1.953 ms -0.5839 2.079

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 1.806 1.806 1.806 3.247 3.756 3.756 3.756 1.949 1.949 0.540 3.087 ms -1.005 3.456

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) 1.222 1.222 1.222 4.054 5.904 5.904 5.904 4.682 4.682 1.335 3.913 ms -0.4695 2.641

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) -2.406 -2.406 -2.406 1.063 2.935 2.935 2.935 5.341 5.341 1.519 0.491 ms -0.2996 2.208

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) 3.248 3.248 3.248 5.370 5.757 5.757 5.757 2.509 2.509 0.802 4.810 ms -0.4309 1.759

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) 3.496 3.496 3.496 4.324 5.626 5.626 5.626 2.129 2.129 0.570 4.479 ms 0.7259 3.091

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 1.709 1.709 1.709 3.572 5.219 5.219 5.219 3.510 3.510 0.952 3.538 ms 0.11 2.517

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) -131.372 -131.372 -131.259 -130.746 -129.555 -129.544 -129.544 1.704 1.828 0.537 -130.563 ms 0.5834 2

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

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

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

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



Server Offset 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) -2.090 -1.739 -1.080 0.055 1.376 1.688 2.037 2.456 3.427 0.744 0.067 µs 0.02357 2.735

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 1.197 1.197 1.197 2.969 6.207 6.207 6.207 5.010 5.010 1.404 3.071 ms 0.7873 2.754

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 1.254 1.254 1.254 2.441 5.492 5.492 5.492 4.238 4.238 1.459 2.973 ms 0.5755 1.927

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) 0.844 0.844 0.844 1.503 8.892 8.892 8.892 8.048 8.048 2.665 3.079 ms 1.243 3.026

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) 0.946 0.946 0.946 2.056 3.072 3.072 3.072 2.126 2.126 0.484 1.930 ms 0.3269 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 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) 0.361 0.361 0.361 1.033 2.060 2.060 2.060 1.700 1.700 0.562 1.023 ms 0.4195 1.821

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) 1.084 1.084 1.084 1.969 9.589 9.589 9.589 8.505 8.505 2.102 2.604 ms 2.752 9.426

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 0.817 0.817 0.817 1.589 3.080 3.080 3.080 2.263 2.263 0.608 1.741 ms 0.5442 2.653

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) 0.042 0.042 0.077 0.288 0.991 1.101 1.101 0.913 1.059 0.282 0.387 ms 0.8754 2.672

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) 0.395 0.438 0.543 0.947 1.774 2.119 2.353 1.231 1.681 0.370 1.017 µs 0.98 3.79

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.



Summary


Percentiles...... Ranges...... Skew- Kurt-
Name Min1%5%50%95% 99%Max   90%98%StdDev  MeanUnits nessosis
Local Clock Frequency Offset 81.924 82.993 83.740 87.830 96.222 96.909 97.382 12.482 13.916 4.048 88.780 ppb 0.5537 2.137
Local Clock Time Offset -2.089 -1.738 -1.079 0.054 1.375 1.687 2.036 2.454 3.425 0.743 0.067 µs 0.02386 2.739
Local RMS Frequency Jitter 233.000 250.000 274.000 355.000 480.000 518.000 556.000 206.000 268.000 60.097 361.669 10e-12 0.5812 3.089
Local RMS Time Jitter 0.594 0.645 0.716 1.027 1.321 1.559 1.774 0.605 0.914 0.181 1.026 µs 0.3718 3.88
Server Jitter 173.8.172.33 1.197 1.197 1.197 2.969 6.207 6.207 6.207 5.010 5.010 1.404 3.071 ms 0.7873 2.754
Server Jitter 2001:5a8:601:4005::36 1.254 1.254 1.254 2.441 5.492 5.492 5.492 4.238 4.238 1.459 2.973 ms 0.5755 1.927
Server Jitter 2600:1f13:eda:9800:bcd8:839c:9b40:25b2 (oregon.time.system76.com) 0.844 0.844 0.844 1.503 8.892 8.892 8.892 8.048 8.048 2.665 3.079 ms 1.243 3.026
Server Jitter 2600:3c02::f03c:93ff:fecf:972e (time.cifelli.xyz) 0.946 0.946 0.946 2.056 3.072 3.072 3.072 2.126 2.126 0.484 1.930 ms 0.3269 4.084
Server Jitter 2606:4700:f1::123 (time.cloudflare.com) 0.361 0.361 0.361 1.033 2.060 2.060 2.060 1.700 1.700 0.562 1.023 ms 0.4195 1.821
Server Jitter 2607:f140:ffff:8000:0:8006:0:a (ntp1.net.berkeley.edu) 1.084 1.084 1.084 1.969 9.589 9.589 9.589 8.505 8.505 2.102 2.604 ms 2.752 9.426
Server Jitter 66.220.9.122 0.817 0.817 0.817 1.589 3.080 3.080 3.080 2.263 2.263 0.608 1.741 ms 0.5442 2.653
Server Jitter SHM(0) 0.042 0.042 0.077 0.288 0.991 1.101 1.101 0.913 1.059 0.282 0.387 ms 0.8754 2.672
Server Jitter SHM(1) 0.395 0.438 0.543 0.947 1.774 2.119 2.353 1.231 1.681 0.370 1.017 µs 0.98 3.79
Server Offset 173.8.172.33 -0.742 -0.742 -0.742 2.815 3.572 3.572 3.572 4.314 4.314 1.384 1.953 ms -0.5839 2.079
Server Offset 2001:5a8:601:4005::36 1.806 1.806 1.806 3.247 3.756 3.756 3.756 1.949 1.949 0.540 3.087 ms -1.005 3.456
Server Offset 2600:1f13:eda:9800:bcd8:839c:9b40:25b2 (oregon.time.system76.com) 1.222 1.222 1.222 4.054 5.904 5.904 5.904 4.682 4.682 1.335 3.913 ms -0.4695 2.641
Server Offset 2600:3c02::f03c:93ff:fecf:972e (time.cifelli.xyz) -2.406 -2.406 -2.406 1.063 2.935 2.935 2.935 5.341 5.341 1.519 0.491 ms -0.2996 2.208
Server Offset 2606:4700:f1::123 (time.cloudflare.com) 3.248 3.248 3.248 5.370 5.757 5.757 5.757 2.509 2.509 0.802 4.810 ms -0.4309 1.759
Server Offset 2607:f140:ffff:8000:0:8006:0:a (ntp1.net.berkeley.edu) 3.496 3.496 3.496 4.324 5.626 5.626 5.626 2.129 2.129 0.570 4.479 ms 0.7259 3.091
Server Offset 66.220.9.122 1.709 1.709 1.709 3.572 5.219 5.219 5.219 3.510 3.510 0.952 3.538 ms 0.11 2.517
Server Offset SHM(0) -131.372 -131.372 -131.259 -130.746 -129.555 -129.544 -129.544 1.704 1.828 0.537 -130.563 ms 0.5834 2
Server Offset SHM(1) -2.090 -1.739 -1.080 0.055 1.376 1.688 2.037 2.456 3.427 0.744 0.067 µs 0.02357 2.735
TDOP 0.570 0.570 0.580 0.800 1.240 1.290 1.290 0.660 0.720 0.193 0.813 0.3655 2.439
Temp ZONE0 50.464 50.464 51.002 51.540 52.078 52.078 52.078 1.076 1.614 0.285 51.488 °C
nSats 8.000 8.000 8.000 10.000 11.000 11.000 11.000 3.000 3.000 0.985 9.783 nSat 0.02495 1.661
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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