NTPsec

time.achjoj.info

Report generated: Wed Aug 12 10:33:02 2026 UTC
Start Time: Tue Aug 11 08:09:02 2026 UTC
End Time: Wed Aug 12 10:33:02 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 -17.434 -10.812 -6.268 -0.161 3.507 6.679 9.984 9.775 17.491 3.058 -0.562 ms -6.406 23.32
Local Clock Frequency Offset 13.356 15.401 17.913 25.549 40.468 48.262 53.354 22.555 32.861 7.300 27.073 ppm 28.81 110

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 0.676 0.814 0.970 1.976 4.225 5.127 6.447 3.255 4.314 1.009 2.196 ms 6.184 18.84

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 0.145 0.209 0.258 0.796 2.921 4.650 7.466 2.663 4.441 0.909 1.049 ppm 2.735 11.69

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 -17.434 -10.812 -6.268 -0.161 3.507 6.679 9.984 9.775 17.491 3.058 -0.562 ms -6.406 23.32

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 13.356 15.401 17.913 25.549 40.468 48.262 53.354 22.555 32.861 7.300 27.073 ppm 28.81 110
Temp /dev/sdb 36.000 36.000 36.000 37.000 38.000 38.000 38.000 2.000 2.000 0.675 36.796 °C
Temp LM0 22.000 22.000 23.000 26.000 28.000 29.000 29.000 5.000 7.000 1.506 25.615 °C
Temp LM1 21.000 21.000 22.000 25.000 27.000 27.000 28.000 5.000 6.000 1.491 24.452 °C
Temp LM2 54.000 54.000 54.000 56.000 57.000 57.000 58.000 3.000 3.000 0.864 55.525 °C
Temp LM3 73.000 73.000 73.000 73.500 73.500 73.500 73.500 0.500 0.500 0.206 73.392 °C
Temp LM4 73.000 73.000 73.000 73.500 73.500 73.500 74.000 0.500 0.500 0.203 73.401 °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 0.000 3.000 4.000 6.000 9.000 9.000 9.000 5.000 6.000 1.415 6.392 nSat 53.08 219.6
TDOP 0.600 0.680 0.790 1.330 3.420 8.460 99.990 2.630 7.780 9.616 2.535 7.337 75.06

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 -20.153 -17.576 -13.764 -4.713 1.183 3.669 7.149 14.947 21.245 4.383 -5.300 ms -18.04 62.33

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 -21.379 -17.354 -14.821 -5.526 0.330 4.038 5.545 15.152 21.391 4.437 -6.030 ms -20.78 73.33

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 -20.864 -18.413 -14.547 -5.533 0.501 4.070 4.685 15.048 22.483 4.529 -6.086 ms -20.42 71.44

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 -20.964 -18.014 -15.693 -5.652 0.072 3.822 4.762 15.764 21.836 4.521 -6.471 ms -22.3 80.1

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 -19.698 -16.882 -14.236 -5.742 0.125 4.161 4.894 14.361 21.043 4.323 -6.167 ms -21.99 77.55

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 -18.470 -17.684 -14.918 -5.264 0.413 3.946 5.099 15.331 21.630 4.439 -6.057 ms -20.94 74.16

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 -21.429 -18.725 -15.592 -5.899 -0.193 3.650 4.157 15.399 22.375 4.429 -6.498 ms -23.01 83.2

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 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 -21.344 -18.165 -14.869 -5.511 0.375 3.679 5.725 15.244 21.844 4.320 -6.064 ms -21.7 77.68

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) -11.347 -2.951 0.052 7.789 19.158 22.550 27.702 19.105 25.500 5.917 8.378 ms 1.661 4.224

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 0.321 0.580 0.840 3.010 11.054 15.878 25.038 10.215 15.298 3.189 3.915 ms 3.001 14.04

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 0.316 0.515 0.793 2.651 8.435 14.920 16.977 7.642 14.405 2.725 3.466 ms 2.774 10.58

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 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 0.330 0.577 0.753 3.051 11.073 13.630 16.345 10.320 13.052 3.155 4.117 ms 2.359 7.036

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 0.473 0.727 0.938 3.011 9.345 14.276 17.075 8.407 13.548 2.940 3.854 ms 2.7 9.412

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 0.554 0.682 0.926 2.724 9.408 15.714 17.076 8.482 15.032 2.832 3.648 ms 2.857 10.52

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 0.434 0.479 0.886 2.916 10.134 13.593 15.952 9.248 13.115 2.810 3.779 ms 2.722 8.809

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 0.500 0.603 0.857 3.077 9.278 12.755 18.779 8.422 12.152 2.781 3.805 ms 2.812 10.22

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 0.402 0.547 0.858 2.901 9.354 15.217 22.522 8.496 14.670 2.867 3.743 ms 3.336 16.03

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) 0.228 0.575 0.854 2.315 5.497 7.451 11.691 4.644 6.876 1.489 2.626 ms 4.108 13.83

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 13.356 15.401 17.913 25.549 40.468 48.262 53.354 22.555 32.861 7.300 27.073 ppm 28.81 110
Local Clock Time Offset -17.434 -10.812 -6.268 -0.161 3.507 6.679 9.984 9.775 17.491 3.058 -0.562 ms -6.406 23.32
Local RMS Frequency Jitter 0.145 0.209 0.258 0.796 2.921 4.650 7.466 2.663 4.441 0.909 1.049 ppm 2.735 11.69
Local RMS Time Jitter 0.676 0.814 0.970 1.976 4.225 5.127 6.447 3.255 4.314 1.009 2.196 ms 6.184 18.84
Server Jitter 150.254.190.51 0.321 0.580 0.840 3.010 11.054 15.878 25.038 10.215 15.298 3.189 3.915 ms 3.001 14.04
Server Jitter 153.19.250.123 0.316 0.515 0.793 2.651 8.435 14.920 16.977 7.642 14.405 2.725 3.466 ms 2.774 10.58
Server Jitter 193.110.137.171 0.330 0.577 0.753 3.051 11.073 13.630 16.345 10.320 13.052 3.155 4.117 ms 2.359 7.036
Server Jitter 194.146.251.100 0.473 0.727 0.938 3.011 9.345 14.276 17.075 8.407 13.548 2.940 3.854 ms 2.7 9.412
Server Jitter 194.146.251.101 0.554 0.682 0.926 2.724 9.408 15.714 17.076 8.482 15.032 2.832 3.648 ms 2.857 10.52
Server Jitter 194.29.130.252 0.434 0.479 0.886 2.916 10.134 13.593 15.952 9.248 13.115 2.810 3.779 ms 2.722 8.809
Server Jitter 195.187.245.55 0.500 0.603 0.857 3.077 9.278 12.755 18.779 8.422 12.152 2.781 3.805 ms 2.812 10.22
Server Jitter 213.135.57.60 0.402 0.547 0.858 2.901 9.354 15.217 22.522 8.496 14.670 2.867 3.743 ms 3.336 16.03
Server Jitter SHM(0) 0.228 0.575 0.854 2.315 5.497 7.451 11.691 4.644 6.876 1.489 2.626 ms 4.108 13.83
Server Offset 150.254.190.51 -20.153 -17.576 -13.764 -4.713 1.183 3.669 7.149 14.947 21.245 4.383 -5.300 ms -18.04 62.33
Server Offset 153.19.250.123 -21.379 -17.354 -14.821 -5.526 0.330 4.038 5.545 15.152 21.391 4.437 -6.030 ms -20.78 73.33
Server Offset 193.110.137.171 -20.864 -18.413 -14.547 -5.533 0.501 4.070 4.685 15.048 22.483 4.529 -6.086 ms -20.42 71.44
Server Offset 194.146.251.100 -20.964 -18.014 -15.693 -5.652 0.072 3.822 4.762 15.764 21.836 4.521 -6.471 ms -22.3 80.1
Server Offset 194.146.251.101 -19.698 -16.882 -14.236 -5.742 0.125 4.161 4.894 14.361 21.043 4.323 -6.167 ms -21.99 77.55
Server Offset 194.29.130.252 -18.470 -17.684 -14.918 -5.264 0.413 3.946 5.099 15.331 21.630 4.439 -6.057 ms -20.94 74.16
Server Offset 195.187.245.55 -21.429 -18.725 -15.592 -5.899 -0.193 3.650 4.157 15.399 22.375 4.429 -6.498 ms -23.01 83.2
Server Offset 213.135.57.60 -21.344 -18.165 -14.869 -5.511 0.375 3.679 5.725 15.244 21.844 4.320 -6.064 ms -21.7 77.68
Server Offset SHM(0) -11.347 -2.951 0.052 7.789 19.158 22.550 27.702 19.105 25.500 5.917 8.378 ms 1.661 4.224
TDOP 0.600 0.680 0.790 1.330 3.420 8.460 99.990 2.630 7.780 9.616 2.535 7.337 75.06
Temp /dev/sdb 36.000 36.000 36.000 37.000 38.000 38.000 38.000 2.000 2.000 0.675 36.796 °C
Temp LM0 22.000 22.000 23.000 26.000 28.000 29.000 29.000 5.000 7.000 1.506 25.615 °C
Temp LM1 21.000 21.000 22.000 25.000 27.000 27.000 28.000 5.000 6.000 1.491 24.452 °C
Temp LM2 54.000 54.000 54.000 56.000 57.000 57.000 58.000 3.000 3.000 0.864 55.525 °C
Temp LM3 73.000 73.000 73.000 73.500 73.500 73.500 73.500 0.500 0.500 0.206 73.392 °C
Temp LM4 73.000 73.000 73.000 73.500 73.500 73.500 74.000 0.500 0.500 0.203 73.401 °C
nSats 0.000 3.000 4.000 6.000 9.000 9.000 9.000 5.000 6.000 1.415 6.392 nSat 53.08 219.6
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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