NTPsec

time.achjoj.info

Report generated: Tue Sep 22 16:33:02 2026 UTC
Start Time: Mon Sep 21 14:09:02 2026 UTC
End Time: Tue Sep 22 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 -15.068 -11.135 -6.009 -0.148 3.116 6.959 11.375 9.125 18.094 3.010 -0.625 ms -6.407 22.56
Local Clock Frequency Offset 12.365 14.714 16.082 21.836 44.127 50.863 52.846 28.044 36.150 9.138 25.603 ppm 12.21 39.88

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 0.497 0.617 0.772 1.674 3.694 4.403 5.417 2.922 3.786 0.920 1.869 ms 5.093 14.51

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 0.184 0.223 0.694 3.620 5.762 7.606 3.396 5.577 1.154 1.123 ppm 2.171 8.726

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 -15.068 -11.135 -6.009 -0.148 3.116 6.959 11.375 9.125 18.094 3.010 -0.625 ms -6.407 22.56

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 12.365 14.714 16.082 21.836 44.127 50.863 52.846 28.044 36.150 9.138 25.603 ppm 12.21 39.88
Temp /dev/sdb 30.000 30.000 30.000 31.000 31.000 31.000 31.000 1.000 1.000 0.443 30.732 °C
Temp LM0 10.000 11.000 11.000 13.000 14.000 16.000 16.000 3.000 5.000 1.153 12.639 °C
Temp LM1 9.000 10.000 10.000 12.000 14.000 15.000 16.000 4.000 5.000 1.270 11.888 °C
Temp LM2 48.000 48.000 49.000 49.000 50.000 51.000 51.000 1.000 3.000 0.587 49.335 °C
Temp LM3 16.500 17.500 17.500 19.000 20.500 20.500 21.000 3.000 3.000 0.818 18.805 °C
Temp LM4 16.500 17.500 17.500 19.000 20.500 20.500 21.000 3.000 3.000 0.899 18.875 °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 10.000 11.000 5.000 7.000 1.553 6.239 nSat 36.67 143.4
TDOP 0.720 0.760 0.840 1.520 5.110 16.830 99.990 4.270 16.070 8.105 2.670 8.828 105.7

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 -22.025 -19.121 -14.074 -2.981 2.236 5.416 7.658 16.310 24.537 5.049 -4.446 ms -13.09 43.33

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 -23.491 -22.522 -14.008 -4.794 1.193 2.932 6.751 15.201 25.453 4.826 -5.680 ms -17.69 62.6

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 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 -22.282 -18.215 -15.157 -4.294 1.108 3.317 4.317 16.265 21.533 4.884 -5.504 ms -16.78 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 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 -22.744 -19.744 -14.788 -4.779 1.324 3.669 6.812 16.112 23.413 4.947 -5.728 ms -17.25 59.52

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 -22.465 -20.296 -14.973 -4.689 1.987 3.280 6.919 16.960 23.576 5.094 -5.620 ms -16.32 55.43

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 -23.459 -17.745 -13.051 -3.928 2.438 4.463 5.625 15.489 22.209 4.789 -4.913 ms -14.99 49.79

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 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 -19.046 -17.814 -14.735 -4.707 1.362 2.791 3.361 16.097 20.604 4.719 -5.613 ms -17.67 59.96

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 -23.934 -19.429 -14.611 -4.225 2.535 3.889 6.914 17.146 23.317 5.099 -5.219 ms -15.18 51.96

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) -11.913 -3.399 -0.237 11.480 21.090 23.470 29.804 21.327 26.868 6.921 10.744 ms 1.659 3.634

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 0.544 0.656 1.105 3.740 12.686 18.393 18.643 11.582 17.736 3.791 4.778 ms 2.384 7.58

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 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 0.260 0.322 0.674 2.711 9.051 13.633 16.625 8.377 13.311 2.853 3.647 ms 2.438 8.502

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 0.337 0.494 0.792 2.769 11.075 18.287 20.494 10.283 17.793 3.653 3.986 ms 2.394 8.965

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 0.532 0.631 0.927 2.793 10.361 17.053 25.660 9.434 16.422 3.312 3.799 ms 3.227 15.79

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.



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 0.472 0.551 1.005 2.968 11.798 19.181 22.401 10.793 18.629 3.664 4.155 ms 2.72 10.76

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 0.309 0.435 0.707 2.558 9.440 12.254 22.441 8.733 11.819 2.906 3.519 ms 2.899 13.63

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 0.219 0.435 0.816 2.662 10.271 15.483 20.553 9.456 15.048 3.079 3.746 ms 2.609 10.15

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 0.327 0.396 0.899 2.887 10.375 19.502 21.577 9.476 19.106 3.573 4.092 ms 2.703 11.01

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 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) 0.314 0.600 0.896 2.184 5.651 7.944 11.628 4.755 7.344 1.541 2.582 ms 3.917 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 12.365 14.714 16.082 21.836 44.127 50.863 52.846 28.044 36.150 9.138 25.603 ppm 12.21 39.88
Local Clock Time Offset -15.068 -11.135 -6.009 -0.148 3.116 6.959 11.375 9.125 18.094 3.010 -0.625 ms -6.407 22.56
Local RMS Frequency Jitter 0.117 0.184 0.223 0.694 3.620 5.762 7.606 3.396 5.577 1.154 1.123 ppm 2.171 8.726
Local RMS Time Jitter 0.497 0.617 0.772 1.674 3.694 4.403 5.417 2.922 3.786 0.920 1.869 ms 5.093 14.51
Server Jitter 150.254.190.51 0.544 0.656 1.105 3.740 12.686 18.393 18.643 11.582 17.736 3.791 4.778 ms 2.384 7.58
Server Jitter 153.19.250.123 0.260 0.322 0.674 2.711 9.051 13.633 16.625 8.377 13.311 2.853 3.647 ms 2.438 8.502
Server Jitter 193.110.137.171 0.337 0.494 0.792 2.769 11.075 18.287 20.494 10.283 17.793 3.653 3.986 ms 2.394 8.965
Server Jitter 194.146.251.100 0.532 0.631 0.927 2.793 10.361 17.053 25.660 9.434 16.422 3.312 3.799 ms 3.227 15.79
Server Jitter 194.146.251.101 0.472 0.551 1.005 2.968 11.798 19.181 22.401 10.793 18.629 3.664 4.155 ms 2.72 10.76
Server Jitter 194.29.130.252 0.309 0.435 0.707 2.558 9.440 12.254 22.441 8.733 11.819 2.906 3.519 ms 2.899 13.63
Server Jitter 195.187.245.55 0.219 0.435 0.816 2.662 10.271 15.483 20.553 9.456 15.048 3.079 3.746 ms 2.609 10.15
Server Jitter 213.135.57.60 0.327 0.396 0.899 2.887 10.375 19.502 21.577 9.476 19.106 3.573 4.092 ms 2.703 11.01
Server Jitter SHM(0) 0.314 0.600 0.896 2.184 5.651 7.944 11.628 4.755 7.344 1.541 2.582 ms 3.917 13.64
Server Offset 150.254.190.51 -22.025 -19.121 -14.074 -2.981 2.236 5.416 7.658 16.310 24.537 5.049 -4.446 ms -13.09 43.33
Server Offset 153.19.250.123 -23.491 -22.522 -14.008 -4.794 1.193 2.932 6.751 15.201 25.453 4.826 -5.680 ms -17.69 62.6
Server Offset 193.110.137.171 -22.282 -18.215 -15.157 -4.294 1.108 3.317 4.317 16.265 21.533 4.884 -5.504 ms -16.78 57.54
Server Offset 194.146.251.100 -22.744 -19.744 -14.788 -4.779 1.324 3.669 6.812 16.112 23.413 4.947 -5.728 ms -17.25 59.52
Server Offset 194.146.251.101 -22.465 -20.296 -14.973 -4.689 1.987 3.280 6.919 16.960 23.576 5.094 -5.620 ms -16.32 55.43
Server Offset 194.29.130.252 -23.459 -17.745 -13.051 -3.928 2.438 4.463 5.625 15.489 22.209 4.789 -4.913 ms -14.99 49.79
Server Offset 195.187.245.55 -19.046 -17.814 -14.735 -4.707 1.362 2.791 3.361 16.097 20.604 4.719 -5.613 ms -17.67 59.96
Server Offset 213.135.57.60 -23.934 -19.429 -14.611 -4.225 2.535 3.889 6.914 17.146 23.317 5.099 -5.219 ms -15.18 51.96
Server Offset SHM(0) -11.913 -3.399 -0.237 11.480 21.090 23.470 29.804 21.327 26.868 6.921 10.744 ms 1.659 3.634
TDOP 0.720 0.760 0.840 1.520 5.110 16.830 99.990 4.270 16.070 8.105 2.670 8.828 105.7
Temp /dev/sdb 30.000 30.000 30.000 31.000 31.000 31.000 31.000 1.000 1.000 0.443 30.732 °C
Temp LM0 10.000 11.000 11.000 13.000 14.000 16.000 16.000 3.000 5.000 1.153 12.639 °C
Temp LM1 9.000 10.000 10.000 12.000 14.000 15.000 16.000 4.000 5.000 1.270 11.888 °C
Temp LM2 48.000 48.000 49.000 49.000 50.000 51.000 51.000 1.000 3.000 0.587 49.335 °C
Temp LM3 16.500 17.500 17.500 19.000 20.500 20.500 21.000 3.000 3.000 0.818 18.805 °C
Temp LM4 16.500 17.500 17.500 19.000 20.500 20.500 21.000 3.000 3.000 0.899 18.875 °C
nSats 0.000 3.000 4.000 6.000 9.000 10.000 11.000 5.000 7.000 1.553 6.239 nSat 36.67 143.4
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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