NTPsec

time.achjoj.info

Report generated: Mon Jul 6 16:33:02 2026 UTC
Start Time: Sun Jul 5 14:09:02 2026 UTC
End Time: Mon Jul 6 16:33:02 2026 UTC
Report Period: 1.1 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 -15.156 -8.636 -5.254 -0.081 2.954 5.721 11.357 8.209 14.357 2.578 -0.393 ms -5.961 21.2
Local Clock Frequency Offset 12.376 15.356 17.304 22.576 37.682 47.183 52.088 20.378 31.827 6.652 24.674 ppm 29.31 116.7

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 0.549 0.742 0.916 1.696 3.543 4.244 5.057 2.627 3.502 0.824 1.908 ms 7.165 21.71

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 0.117 0.181 0.229 0.573 2.539 4.376 7.197 2.310 4.194 0.830 0.859 ppm 2.955 14.27

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 -15.156 -8.636 -5.254 -0.081 2.954 5.721 11.357 8.209 14.357 2.578 -0.393 ms -5.961 21.2

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 12.376 15.356 17.304 22.576 37.682 47.183 52.088 20.378 31.827 6.652 24.674 ppm 29.31 116.7
Temp /dev/sdb 35.000 35.000 35.000 36.000 38.000 39.000 39.000 3.000 4.000 1.056 35.892 °C
Temp LM0 21.000 21.000 22.000 23.000 26.000 26.000 27.000 4.000 5.000 1.151 23.449 °C
Temp LM1 20.000 20.000 20.000 22.000 24.000 25.000 25.000 4.000 5.000 1.123 22.178 °C
Temp LM2 52.000 52.000 53.000 53.000 54.000 55.000 55.000 1.000 3.000 0.597 53.334 °C
Temp LM3 21.500 22.500 23.000 24.000 25.500 25.500 26.000 2.500 3.000 0.756 24.049 °C
Temp LM4 22.500 22.500 23.000 24.000 25.500 25.500 26.000 2.500 3.000 0.799 24.123 °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 4.000 4.000 5.000 7.000 9.000 10.000 11.000 4.000 6.000 1.315 7.096 nSat 98.1 492.1
TDOP 0.550 0.680 0.740 1.250 2.520 4.800 9.980 1.780 4.120 0.826 1.412 7.626 62.29

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 150.254.190.51

peer offset 150.254.190.51 plot

Percentiles...... Ranges...... Skew- Kurt-
Name Min1%5%50%95% 99%Max   90%98%StdDev  MeanUnits nessosis
Server Offset 150.254.190.51 -18.252 -14.876 -12.343 -3.658 1.531 4.003 5.572 13.873 18.879 3.936 -4.144 ms -15.53 52.92

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 153.19.250.123

peer offset 153.19.250.123 plot

Percentiles...... Ranges...... Skew- Kurt-
Name Min1%5%50%95% 99%Max   90%98%StdDev  MeanUnits nessosis
Server Offset 153.19.250.123 -19.790 -17.677 -13.398 -4.831 0.315 2.764 2.988 13.713 20.441 3.903 -5.409 ms -21.47 77.58

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 193.110.137.171

peer offset 193.110.137.171 plot

Percentiles...... Ranges...... Skew- Kurt-
Name Min1%5%50%95% 99%Max   90%98%StdDev  MeanUnits nessosis
Server Offset 193.110.137.171 -19.248 -17.981 -13.776 -5.236 0.457 2.419 5.128 14.233 20.400 3.887 -5.685 ms -23.01 84.17

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 194.146.251.100

peer offset 194.146.251.100 plot

Percentiles...... Ranges...... Skew- Kurt-
Name Min1%5%50%95% 99%Max   90%98%StdDev  MeanUnits nessosis
Server Offset 194.146.251.100 -16.895 -15.422 -13.719 -5.311 -0.209 2.639 4.753 13.510 18.061 3.718 -5.758 ms -24.72 90.25

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 194.146.251.101

peer offset 194.146.251.101 plot

Percentiles...... Ranges...... Skew- Kurt-
Name Min1%5%50%95% 99%Max   90%98%StdDev  MeanUnits nessosis
Server Offset 194.146.251.101 -17.801 -16.983 -14.009 -5.412 0.135 1.933 3.605 14.144 18.916 3.887 -5.949 ms -24.44 89.57

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 194.29.130.252

peer offset 194.29.130.252 plot

Percentiles...... Ranges...... Skew- Kurt-
Name Min1%5%50%95% 99%Max   90%98%StdDev  MeanUnits nessosis
Server Offset 194.29.130.252 -18.988 -16.557 -12.709 -5.016 0.043 3.401 5.048 12.753 19.957 3.854 -5.451 ms -21.98 79.6

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

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

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

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



Server Offset 195.187.245.55

peer offset 195.187.245.55 plot

Percentiles...... Ranges...... Skew- Kurt-
Name Min1%5%50%95% 99%Max   90%98%StdDev  MeanUnits nessosis
Server Offset 195.187.245.55 -19.273 -16.786 -12.871 -5.506 0.247 2.415 2.785 13.118 19.201 3.655 -5.800 ms -25.62 94.61

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 213.135.57.60

peer offset 213.135.57.60 plot

Percentiles...... Ranges...... Skew- Kurt-
Name Min1%5%50%95% 99%Max   90%98%StdDev  MeanUnits nessosis
Server Offset 213.135.57.60 -17.809 -16.443 -13.251 -5.180 0.508 2.972 4.267 13.759 19.416 3.804 -5.642 ms -23.36 84.98

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) -8.024 -2.812 -0.220 6.438 16.877 20.789 25.025 17.096 23.600 5.279 7.189 ms 1.635 4.452

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 150.254.190.51

peer jitter 150.254.190.51 plot

Percentiles...... Ranges...... Skew- Kurt-
Name Min1%5%50%95% 99%Max   90%98%StdDev  MeanUnits nessosis
Server Jitter 150.254.190.51 0.580 0.666 0.879 2.671 9.490 13.697 15.991 8.611 13.031 2.755 3.487 ms 2.904 10.6

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 153.19.250.123

peer jitter 153.19.250.123 plot

Percentiles...... Ranges...... Skew- Kurt-
Name Min1%5%50%95% 99%Max   90%98%StdDev  MeanUnits nessosis
Server Jitter 153.19.250.123 0.243 0.507 0.886 2.653 9.758 16.425 17.760 8.872 15.918 3.141 3.645 ms 2.669 10.01

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 193.110.137.171

peer jitter 193.110.137.171 plot

Percentiles...... Ranges...... Skew- Kurt-
Name Min1%5%50%95% 99%Max   90%98%StdDev  MeanUnits nessosis
Server Jitter 193.110.137.171 0.408 0.448 0.686 2.710 10.867 18.517 20.010 10.181 18.069 3.402 3.689 ms 2.625 10.39

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 194.146.251.100

peer jitter 194.146.251.100 plot

Percentiles...... Ranges...... Skew- Kurt-
Name Min1%5%50%95% 99%Max   90%98%StdDev  MeanUnits nessosis
Server Jitter 194.146.251.100 0.321 0.410 0.730 2.576 8.051 13.904 29.925 7.321 13.494 2.895 3.385 ms 4.497 34.2

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 194.146.251.101

peer jitter 194.146.251.101 plot

Percentiles...... Ranges...... Skew- Kurt-
Name Min1%5%50%95% 99%Max   90%98%StdDev  MeanUnits nessosis
Server Jitter 194.146.251.101 0.590 0.702 1.038 2.850 8.558 15.888 18.585 7.520 15.186 2.842 3.717 ms 3.137 12.48

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 194.29.130.252

peer jitter 194.29.130.252 plot

Percentiles...... Ranges...... Skew- Kurt-
Name Min1%5%50%95% 99%Max   90%98%StdDev  MeanUnits nessosis
Server Jitter 194.29.130.252 0.492 0.541 0.777 2.676 10.666 16.207 20.604 9.889 15.667 3.123 3.561 ms 2.853 11.65

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 195.187.245.55

peer jitter 195.187.245.55 plot

Percentiles...... Ranges...... Skew- Kurt-
Name Min1%5%50%95% 99%Max   90%98%StdDev  MeanUnits nessosis
Server Jitter 195.187.245.55 0.425 0.495 0.840 2.588 7.582 11.206 14.717 6.742 10.711 2.265 3.265 ms 2.992 10.26

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 213.135.57.60

peer jitter 213.135.57.60 plot

Percentiles...... Ranges...... Skew- Kurt-
Name Min1%5%50%95% 99%Max   90%98%StdDev  MeanUnits nessosis
Server Jitter 213.135.57.60 0.437 0.495 0.788 2.548 9.881 13.633 18.002 9.093 13.138 2.777 3.358 ms 2.837 10.89

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) 0.234 0.593 0.880 2.255 5.127 6.841 9.712 4.247 6.248 1.339 2.530 ms 4.64 15.21

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.



Summary


Percentiles...... Ranges...... Skew- Kurt-
Name Min1%5%50%95% 99%Max   90%98%StdDev  MeanUnits nessosis
Local Clock Frequency Offset 12.376 15.356 17.304 22.576 37.682 47.183 52.088 20.378 31.827 6.652 24.674 ppm 29.31 116.7
Local Clock Time Offset -15.156 -8.636 -5.254 -0.081 2.954 5.721 11.357 8.209 14.357 2.578 -0.393 ms -5.961 21.2
Local RMS Frequency Jitter 0.117 0.181 0.229 0.573 2.539 4.376 7.197 2.310 4.194 0.830 0.859 ppm 2.955 14.27
Local RMS Time Jitter 0.549 0.742 0.916 1.696 3.543 4.244 5.057 2.627 3.502 0.824 1.908 ms 7.165 21.71
Server Jitter 150.254.190.51 0.580 0.666 0.879 2.671 9.490 13.697 15.991 8.611 13.031 2.755 3.487 ms 2.904 10.6
Server Jitter 153.19.250.123 0.243 0.507 0.886 2.653 9.758 16.425 17.760 8.872 15.918 3.141 3.645 ms 2.669 10.01
Server Jitter 193.110.137.171 0.408 0.448 0.686 2.710 10.867 18.517 20.010 10.181 18.069 3.402 3.689 ms 2.625 10.39
Server Jitter 194.146.251.100 0.321 0.410 0.730 2.576 8.051 13.904 29.925 7.321 13.494 2.895 3.385 ms 4.497 34.2
Server Jitter 194.146.251.101 0.590 0.702 1.038 2.850 8.558 15.888 18.585 7.520 15.186 2.842 3.717 ms 3.137 12.48
Server Jitter 194.29.130.252 0.492 0.541 0.777 2.676 10.666 16.207 20.604 9.889 15.667 3.123 3.561 ms 2.853 11.65
Server Jitter 195.187.245.55 0.425 0.495 0.840 2.588 7.582 11.206 14.717 6.742 10.711 2.265 3.265 ms 2.992 10.26
Server Jitter 213.135.57.60 0.437 0.495 0.788 2.548 9.881 13.633 18.002 9.093 13.138 2.777 3.358 ms 2.837 10.89
Server Jitter SHM(0) 0.234 0.593 0.880 2.255 5.127 6.841 9.712 4.247 6.248 1.339 2.530 ms 4.64 15.21
Server Offset 150.254.190.51 -18.252 -14.876 -12.343 -3.658 1.531 4.003 5.572 13.873 18.879 3.936 -4.144 ms -15.53 52.92
Server Offset 153.19.250.123 -19.790 -17.677 -13.398 -4.831 0.315 2.764 2.988 13.713 20.441 3.903 -5.409 ms -21.47 77.58
Server Offset 193.110.137.171 -19.248 -17.981 -13.776 -5.236 0.457 2.419 5.128 14.233 20.400 3.887 -5.685 ms -23.01 84.17
Server Offset 194.146.251.100 -16.895 -15.422 -13.719 -5.311 -0.209 2.639 4.753 13.510 18.061 3.718 -5.758 ms -24.72 90.25
Server Offset 194.146.251.101 -17.801 -16.983 -14.009 -5.412 0.135 1.933 3.605 14.144 18.916 3.887 -5.949 ms -24.44 89.57
Server Offset 194.29.130.252 -18.988 -16.557 -12.709 -5.016 0.043 3.401 5.048 12.753 19.957 3.854 -5.451 ms -21.98 79.6
Server Offset 195.187.245.55 -19.273 -16.786 -12.871 -5.506 0.247 2.415 2.785 13.118 19.201 3.655 -5.800 ms -25.62 94.61
Server Offset 213.135.57.60 -17.809 -16.443 -13.251 -5.180 0.508 2.972 4.267 13.759 19.416 3.804 -5.642 ms -23.36 84.98
Server Offset SHM(0) -8.024 -2.812 -0.220 6.438 16.877 20.789 25.025 17.096 23.600 5.279 7.189 ms 1.635 4.452
TDOP 0.550 0.680 0.740 1.250 2.520 4.800 9.980 1.780 4.120 0.826 1.412 7.626 62.29
Temp /dev/sdb 35.000 35.000 35.000 36.000 38.000 39.000 39.000 3.000 4.000 1.056 35.892 °C
Temp LM0 21.000 21.000 22.000 23.000 26.000 26.000 27.000 4.000 5.000 1.151 23.449 °C
Temp LM1 20.000 20.000 20.000 22.000 24.000 25.000 25.000 4.000 5.000 1.123 22.178 °C
Temp LM2 52.000 52.000 53.000 53.000 54.000 55.000 55.000 1.000 3.000 0.597 53.334 °C
Temp LM3 21.500 22.500 23.000 24.000 25.500 25.500 26.000 2.500 3.000 0.756 24.049 °C
Temp LM4 22.500 22.500 23.000 24.000 25.500 25.500 26.000 2.500 3.000 0.799 24.123 °C
nSats 4.000 4.000 5.000 7.000 9.000 10.000 11.000 4.000 6.000 1.315 7.096 nSat 98.1 492.1
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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