NTPsec

time.achjoj.info

Report generated: Sat Oct 10 22:33:02 2026 UTC
Start Time: Fri Oct 9 20:09:02 2026 UTC
End Time: Sat Oct 10 22:33:02 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 -25.405 -18.767 -7.674 -0.382 3.950 7.145 12.665 11.625 25.912 4.035 -1.090 ms -7.639 31.79
Local Clock Frequency Offset 12.694 14.080 16.360 25.534 39.911 52.309 56.299 23.551 38.229 7.674 26.899 ppm 24.23 91.44

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 0.232 0.281 0.522 1.946 3.882 4.939 6.119 3.360 4.657 0.910 2.093 ms 6.941 22.02

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 0.0050 0.0091 0.079 0.951 3.270 5.924 8.884 3.190 5.915 1.076 1.253 ppm 3.084 15.02

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 -25.405 -18.767 -7.674 -0.382 3.950 7.145 12.665 11.625 25.912 4.035 -1.090 ms -7.639 31.79

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 12.694 14.080 16.360 25.534 39.911 52.309 56.299 23.551 38.229 7.674 26.899 ppm 24.23 91.44
Temp /dev/sdb 30.000 30.000 30.000 31.000 31.000 32.000 32.000 1.000 2.000 0.535 30.546 °C
Temp LM0 10.000 10.000 11.000 18.000 21.000 22.000 22.000 10.000 12.000 3.907 16.133 °C
Temp LM1 9.000 10.000 10.000 17.000 20.000 21.000 21.000 10.000 11.000 3.958 15.460 °C
Temp LM2 47.000 47.000 48.000 52.000 53.000 54.000 54.000 5.000 7.000 2.009 50.651 °C
Temp LM3 16.500 17.500 18.000 21.000 22.500 23.000 24.000 4.500 5.500 1.872 20.524 °C
Temp LM4 16.500 17.500 18.000 21.000 23.000 23.000 24.000 5.000 5.500 1.873 20.616 °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 1.313 6.707 nSat 81.97 394.8
TDOP 0.650 0.690 0.780 1.480 3.650 13.990 49.160 2.870 13.300 3.824 2.052 9.455 114

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 -21.352 -20.483 -13.781 -3.028 2.129 6.037 6.039 15.910 26.520 5.364 -4.189 ms -11.88 39.28

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 -25.599 -22.882 -16.962 -4.398 1.095 4.512 5.407 18.057 27.394 5.320 -5.448 ms -15.44 54.83

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 -25.385 -25.300 -15.091 -3.758 2.275 5.948 6.014 17.366 31.248 5.717 -5.082 ms -13.37 45.79

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 -22.170 -21.059 -14.309 -4.102 0.537 5.155 5.183 14.846 26.214 5.194 -5.414 ms -15.31 51.31

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 -21.821 -20.666 -15.750 -4.497 0.368 4.624 5.909 16.118 25.290 5.363 -5.639 ms -15.59 53.07

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 -24.528 -21.619 -16.211 -4.241 0.615 5.588 6.127 16.825 27.207 5.523 -5.549 ms -14.94 51.04

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 -25.986 -23.994 -15.815 -4.434 0.379 5.070 5.116 16.194 29.064 5.408 -5.720 ms -16.01 57.54

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 -23.117 -22.171 -14.549 -5.142 0.833 5.553 5.564 15.382 27.725 5.371 -5.728 ms -15.62 52.39

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) -8.045 -3.991 0.226 9.383 19.244 21.638 27.879 19.019 25.629 5.837 9.218 ms 1.942 4.737

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 0.395 0.466 0.710 2.654 8.256 13.934 17.780 7.546 13.469 2.830 3.483 ms 2.49 9.506

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 0.280 0.295 0.733 2.444 9.082 13.670 20.587 8.349 13.375 2.969 3.332 ms 2.761 12.13

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 0.386 0.437 0.685 2.324 10.464 15.503 18.748 9.778 15.066 3.284 3.499 ms 2.169 7.675

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 0.357 0.447 0.666 2.332 8.383 13.193 14.767 7.717 12.746 2.620 3.234 ms 2.255 7.356

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 0.324 0.431 0.591 2.291 8.154 18.247 21.767 7.564 17.816 2.941 3.032 ms 3.17 17

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 0.469 0.489 0.711 2.372 9.548 13.818 16.356 8.838 13.328 2.896 3.390 ms 2.323 7.821

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 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 0.457 0.459 0.686 2.637 9.637 18.017 22.221 8.951 17.558 3.324 3.606 ms 2.588 11.58

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 0.700 0.713 0.968 2.582 9.221 15.605 17.699 8.252 14.892 2.962 3.648 ms 2.695 9.976

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) 0.342 0.571 0.906 2.412 5.927 8.310 11.792 5.021 7.739 1.599 2.751 ms 4.01 13.64

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 12.694 14.080 16.360 25.534 39.911 52.309 56.299 23.551 38.229 7.674 26.899 ppm 24.23 91.44
Local Clock Time Offset -25.405 -18.767 -7.674 -0.382 3.950 7.145 12.665 11.625 25.912 4.035 -1.090 ms -7.639 31.79
Local RMS Frequency Jitter 0.0050 0.0091 0.079 0.951 3.270 5.924 8.884 3.190 5.915 1.076 1.253 ppm 3.084 15.02
Local RMS Time Jitter 0.232 0.281 0.522 1.946 3.882 4.939 6.119 3.360 4.657 0.910 2.093 ms 6.941 22.02
Server Jitter 150.254.190.51 0.395 0.466 0.710 2.654 8.256 13.934 17.780 7.546 13.469 2.830 3.483 ms 2.49 9.506
Server Jitter 153.19.250.123 0.280 0.295 0.733 2.444 9.082 13.670 20.587 8.349 13.375 2.969 3.332 ms 2.761 12.13
Server Jitter 193.110.137.171 0.386 0.437 0.685 2.324 10.464 15.503 18.748 9.778 15.066 3.284 3.499 ms 2.169 7.675
Server Jitter 194.146.251.100 0.357 0.447 0.666 2.332 8.383 13.193 14.767 7.717 12.746 2.620 3.234 ms 2.255 7.356
Server Jitter 194.146.251.101 0.324 0.431 0.591 2.291 8.154 18.247 21.767 7.564 17.816 2.941 3.032 ms 3.17 17
Server Jitter 194.29.130.252 0.469 0.489 0.711 2.372 9.548 13.818 16.356 8.838 13.328 2.896 3.390 ms 2.323 7.821
Server Jitter 195.187.245.55 0.457 0.459 0.686 2.637 9.637 18.017 22.221 8.951 17.558 3.324 3.606 ms 2.588 11.58
Server Jitter 213.135.57.60 0.700 0.713 0.968 2.582 9.221 15.605 17.699 8.252 14.892 2.962 3.648 ms 2.695 9.976
Server Jitter SHM(0) 0.342 0.571 0.906 2.412 5.927 8.310 11.792 5.021 7.739 1.599 2.751 ms 4.01 13.64
Server Offset 150.254.190.51 -21.352 -20.483 -13.781 -3.028 2.129 6.037 6.039 15.910 26.520 5.364 -4.189 ms -11.88 39.28
Server Offset 153.19.250.123 -25.599 -22.882 -16.962 -4.398 1.095 4.512 5.407 18.057 27.394 5.320 -5.448 ms -15.44 54.83
Server Offset 193.110.137.171 -25.385 -25.300 -15.091 -3.758 2.275 5.948 6.014 17.366 31.248 5.717 -5.082 ms -13.37 45.79
Server Offset 194.146.251.100 -22.170 -21.059 -14.309 -4.102 0.537 5.155 5.183 14.846 26.214 5.194 -5.414 ms -15.31 51.31
Server Offset 194.146.251.101 -21.821 -20.666 -15.750 -4.497 0.368 4.624 5.909 16.118 25.290 5.363 -5.639 ms -15.59 53.07
Server Offset 194.29.130.252 -24.528 -21.619 -16.211 -4.241 0.615 5.588 6.127 16.825 27.207 5.523 -5.549 ms -14.94 51.04
Server Offset 195.187.245.55 -25.986 -23.994 -15.815 -4.434 0.379 5.070 5.116 16.194 29.064 5.408 -5.720 ms -16.01 57.54
Server Offset 213.135.57.60 -23.117 -22.171 -14.549 -5.142 0.833 5.553 5.564 15.382 27.725 5.371 -5.728 ms -15.62 52.39
Server Offset SHM(0) -8.045 -3.991 0.226 9.383 19.244 21.638 27.879 19.019 25.629 5.837 9.218 ms 1.942 4.737
TDOP 0.650 0.690 0.780 1.480 3.650 13.990 49.160 2.870 13.300 3.824 2.052 9.455 114
Temp /dev/sdb 30.000 30.000 30.000 31.000 31.000 32.000 32.000 1.000 2.000 0.535 30.546 °C
Temp LM0 10.000 10.000 11.000 18.000 21.000 22.000 22.000 10.000 12.000 3.907 16.133 °C
Temp LM1 9.000 10.000 10.000 17.000 20.000 21.000 21.000 10.000 11.000 3.958 15.460 °C
Temp LM2 47.000 47.000 48.000 52.000 53.000 54.000 54.000 5.000 7.000 2.009 50.651 °C
Temp LM3 16.500 17.500 18.000 21.000 22.500 23.000 24.000 4.500 5.500 1.872 20.524 °C
Temp LM4 16.500 17.500 18.000 21.000 23.000 23.000 24.000 5.000 5.500 1.873 20.616 °C
nSats 4.000 4.000 5.000 7.000 9.000 10.000 11.000 4.000 6.000 1.313 6.707 nSat 81.97 394.8
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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