NTPsec

crane2.services.mbix.ca

Report generated: Tue Jul 21 04:45:13 2026 UTC
Start Time: Tue Jul 14 04:45:11 2026 UTC
End Time: Tue Jul 21 04:45:11 2026 UTC
Report Period: 7.0 days

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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 -52.313 -20.130 -15.288 -2.812 24.391 37.776 77.500 39.679 57.906 12.304 0.018 µs -2.896 7.099
Local Clock Frequency Offset 81.107 81.138 81.166 81.716 81.859 81.879 81.924 0.692 0.741 0.206 81.643 ppm 6.175e+07 2.441e+10

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 4.854 8.130 9.788 15.544 24.188 28.520 45.373 14.400 20.390 4.463 16.109 µs 26.29 98.15

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 1.872 3.097 3.700 5.647 8.500 9.991 14.494 4.800 6.894 1.492 5.820 ppb 33.82 133.3

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 -52.313 -20.130 -15.288 -2.812 24.391 37.776 77.500 39.679 57.906 12.304 0.018 µs -2.896 7.099

The clock offsets of the local clock as a histogram.

The Local Clock Offset is field 3 from the loopstats log file.



Local Temperatures

local temps plot

Local temperatures. These will be site-specific depending upon what temperature sensors you collect data from. Temperature changes affect the local clock crystal frequency and stability. The math of how temperature changes frequency is complex, and also depends on crystal aging. So there is no easy way to correct for it in software. This is the single most important component of frequency drift.

The Local Temperatures are from field 3 from the tempstats log file.



Local Frequency/Temp

local freq temps plot

Percentiles...... Ranges...... Skew- Kurt-
Name Min1%5%50%95% 99%Max   90%98%StdDev  MeanUnits nessosis
Local Clock Frequency Offset 81.107 81.138 81.166 81.716 81.859 81.879 81.924 0.692 0.741 0.206 81.643 ppm 6.175e+07 2.441e+10
Temp ZONE0 36.000 37.000 37.000 38.000 40.000 41.000 42.000 3.000 4.000 0.929 38.194 °C
Temp ZONE1 37.000 37.000 38.000 39.000 40.000 41.000 42.000 2.000 4.000 0.823 39.358 °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.



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 132.246.11.229

peer offset 132.246.11.229 plot

Percentiles...... Ranges...... Skew- Kurt-
Name Min1%5%50%95% 99%Max   90%98%StdDev  MeanUnits nessosis
Server Offset 132.246.11.229 1.085 1.246 1.295 1.786 3.079 3.161 3.335 1.784 1.915 0.673 2.081 ms 15.99 51.67

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 134.84.84.84

peer offset 134.84.84.84 plot

Percentiles...... Ranges...... Skew- Kurt-
Name Min1%5%50%95% 99%Max   90%98%StdDev  MeanUnits nessosis
Server Offset 134.84.84.84 -122.621 -36.645 1.610 59.986 112.194 132.722 157.269 110.584 169.367 34.338 58.542 µs 1.985 6.255

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 204.9.54.119

peer offset 204.9.54.119 plot

Percentiles...... Ranges...... Skew- Kurt-
Name Min1%5%50%95% 99%Max   90%98%StdDev  MeanUnits nessosis
Server Offset 204.9.54.119 19.845 30.197 39.095 59.737 86.056 98.120 118.606 46.961 67.923 14.340 60.600 µs 43.62 178.8

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

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

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

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



Server Offset 2600:2600::99 (ntp1.wiktel.com)

peer offset 2600:2600::99 plot

Percentiles...... Ranges...... Skew- Kurt-
Name Min1%5%50%95% 99%Max   90%98%StdDev  MeanUnits nessosis
Server Offset 2600:2600::99 (ntp1.wiktel.com) -5.045 5.787 13.697 40.538 79.001 93.417 112.412 65.304 87.630 19.909 42.816 µs 5.448 14.77

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 2602:fde5:2a::12

peer offset 2602:fde5:2a::12 plot

Percentiles...... Ranges...... Skew- Kurt-
Name Min1%5%50%95% 99%Max   90%98%StdDev  MeanUnits nessosis
Server Offset 2602:fde5:2a::12 1.061 1.090 1.142 1.522 2.102 2.124 2.148 0.959 1.034 0.277 1.644 ms 135.1 749.5

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

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

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

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



Server Offset 2606:4700:f1::123 (time.cloudflare.com)

peer offset 2606:4700:f1::123 plot

Percentiles...... Ranges...... Skew- Kurt-
Name Min1%5%50%95% 99%Max   90%98%StdDev  MeanUnits nessosis
Server Offset 2606:4700:f1::123 (time.cloudflare.com) -2.313 -2.099 -1.912 -1.742 -1.529 -1.357 -1.090 0.383 0.743 0.123 -1.735 ms -3529 5.419e+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 2607:f388::123:2 (ntp2.doit.wisc.edu)

peer offset 2607:f388::123:2 plot

Percentiles...... Ranges...... Skew- Kurt-
Name Min1%5%50%95% 99%Max   90%98%StdDev  MeanUnits nessosis
Server Offset 2607:f388::123:2 (ntp2.doit.wisc.edu) -1,422.947 -653.711 -538.087 -464.006 -390.376 -321.571 -242.500 147.711 332.140 102.285 -471.145 µs -200.1 1400

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 2610:20:6f96:96::6 (time-e-b.nist.gov)

peer offset 2610:20:6f96:96::6 plot

Percentiles...... Ranges...... Skew- Kurt-
Name Min1%5%50%95% 99%Max   90%98%StdDev  MeanUnits nessosis
Server Offset 2610:20:6f96:96::6 (time-e-b.nist.gov) -94.063 -66.951 -56.775 -17.551 31.197 53.437 73.423 87.972 120.388 26.270 -15.879 µs -8.55 22.64

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 2620:149:a33:4000::21 (usnyc3-ntp-002.aaplimg.com)

peer offset 2620:149:a33:4000::21 plot

Percentiles...... Ranges...... Skew- Kurt-
Name Min1%5%50%95% 99%Max   90%98%StdDev  MeanUnits nessosis
Server Offset 2620:149:a33:4000::21 (usnyc3-ntp-002.aaplimg.com) 755.941 773.642 790.545 832.660 883.832 898.634 929.855 93.287 124.992 28.160 834.713 µs 2.358e+04 6.779e+05

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 PPS(0)

peer offset PPS(0) plot

Percentiles...... Ranges...... Skew- Kurt-
Name Min1%5%50%95% 99%Max   90%98%StdDev  MeanUnits nessosis
Server Offset PPS(0) -52.314 -20.131 -15.289 -2.813 24.392 37.777 77.501 39.681 57.908 12.304 0.018 µs -2.897 7.099

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 132.246.11.229

peer jitter 132.246.11.229 plot

Percentiles...... Ranges...... Skew- Kurt-
Name Min1%5%50%95% 99%Max   90%98%StdDev  MeanUnits nessosis
Server Jitter 132.246.11.229 0.000 0.050 0.082 0.490 1.747 7.594 60.384 1.665 7.544 2.762 0.820 ms 13.01 238.8

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 134.84.84.84

peer jitter 134.84.84.84 plot

Percentiles...... Ranges...... Skew- Kurt-
Name Min1%5%50%95% 99%Max   90%98%StdDev  MeanUnits nessosis
Server Jitter 134.84.84.84 0.000 8.452 12.940 26.404 51.811 68.107 307.294 38.871 59.655 17.505 29.064 µs 10.04 135.2

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 204.9.54.119

peer jitter 204.9.54.119 plot

Percentiles...... Ranges...... Skew- Kurt-
Name Min1%5%50%95% 99%Max   90%98%StdDev  MeanUnits nessosis
Server Jitter 204.9.54.119 4.656 8.364 11.321 20.726 42.401 54.851 105.065 31.080 46.487 9.869 22.898 µs 7.955 31.53

The RMS Jitter of a server. Jitter is the current estimated dispersion, in other words the variation in offset between samples.

Closer to 0s is better. An ideal system would be a horizontal line at 0s.

RMS Jitter is field 8 in the peerstats log file.



Server Jitter 2600:2600::99 (ntp1.wiktel.com)

peer jitter 2600:2600::99 plot

Percentiles...... Ranges...... Skew- Kurt-
Name Min1%5%50%95% 99%Max   90%98%StdDev  MeanUnits nessosis
Server Jitter 2600:2600::99 (ntp1.wiktel.com) 4.436 9.659 12.935 24.716 46.475 57.048 507.581 33.540 47.389 18.100 27.011 µs 19.44 503.1

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 2602:fde5:2a::12

peer jitter 2602:fde5:2a::12 plot

Percentiles...... Ranges...... Skew- Kurt-
Name Min1%5%50%95% 99%Max   90%98%StdDev  MeanUnits nessosis
Server Jitter 2602:fde5:2a::12 6.251 8.742 12.657 244.978 581.791 602.647 1,651.871 569.134 593.905 241.159 263.164 µs 0.5702 2.29

The RMS Jitter of a server. Jitter is the current estimated dispersion, in other words the variation in offset between samples.

Closer to 0s is better. An ideal system would be a horizontal line at 0s.

RMS Jitter is field 8 in the peerstats log file.



Server Jitter 2606:4700:f1::123 (time.cloudflare.com)

peer jitter 2606:4700:f1::123 plot

Percentiles...... Ranges...... Skew- Kurt-
Name Min1%5%50%95% 99%Max   90%98%StdDev  MeanUnits nessosis
Server Jitter 2606:4700:f1::123 (time.cloudflare.com) 5.409 8.445 12.378 27.580 109.388 273.826 3,953.993 97.010 265.381 156.908 46.033 µs 20.18 498.7

The RMS Jitter of a server. Jitter is the current estimated dispersion, in other words the variation in offset between samples.

Closer to 0s is better. An ideal system would be a horizontal line at 0s.

RMS Jitter is field 8 in the peerstats log file.



Server Jitter 2607:f388::123:2 (ntp2.doit.wisc.edu)

peer jitter 2607:f388::123:2 plot

Percentiles...... Ranges...... Skew- Kurt-
Name Min1%5%50%95% 99%Max   90%98%StdDev  MeanUnits nessosis
Server Jitter 2607:f388::123:2 (ntp2.doit.wisc.edu) 6.508 11.546 15.276 30.052 71.768 520.393 1,738.737 56.492 508.847 99.786 46.920 µs 7.518 91.97

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 2610:20:6f96:96::6 (time-e-b.nist.gov)

peer jitter 2610:20:6f96:96::6 plot

Percentiles...... Ranges...... Skew- Kurt-
Name Min1%5%50%95% 99%Max   90%98%StdDev  MeanUnits nessosis
Server Jitter 2610:20:6f96:96::6 (time-e-b.nist.gov) 0.006 0.014 0.020 0.035 0.066 0.082 28.993 0.046 0.067 1.111 0.081 ms 22.38 584.7

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 2620:149:a33:4000::21 (usnyc3-ntp-002.aaplimg.com)

peer jitter 2620:149:a33:4000::21 plot

Percentiles...... Ranges...... Skew- Kurt-
Name Min1%5%50%95% 99%Max   90%98%StdDev  MeanUnits nessosis
Server Jitter 2620:149:a33:4000::21 (usnyc3-ntp-002.aaplimg.com) 0.006 0.012 0.018 0.070 43.506 55.466 80.905 43.489 55.454 15.407 11.454 ms 0.436 2.71

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 PPS(0)

peer jitter PPS(0) plot

Percentiles...... Ranges...... Skew- Kurt-
Name Min1%5%50%95% 99%Max   90%98%StdDev  MeanUnits nessosis
Server Jitter PPS(0) 1.404 4.543 6.582 14.728 30.876 41.538 80.265 24.294 36.995 7.713 16.145 µs 5.923 20.48

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.



Summary


Percentiles...... Ranges...... Skew- Kurt-
Name Min1%5%50%95% 99%Max   90%98%StdDev  MeanUnits nessosis
Local Clock Frequency Offset 81.107 81.138 81.166 81.716 81.859 81.879 81.924 0.692 0.741 0.206 81.643 ppm 6.175e+07 2.441e+10
Local Clock Time Offset -52.313 -20.130 -15.288 -2.812 24.391 37.776 77.500 39.679 57.906 12.304 0.018 µs -2.896 7.099
Local RMS Frequency Jitter 1.872 3.097 3.700 5.647 8.500 9.991 14.494 4.800 6.894 1.492 5.820 ppb 33.82 133.3
Local RMS Time Jitter 4.854 8.130 9.788 15.544 24.188 28.520 45.373 14.400 20.390 4.463 16.109 µs 26.29 98.15
Server Jitter 132.246.11.229 0.000 0.050 0.082 0.490 1.747 7.594 60.384 1.665 7.544 2.762 0.820 ms 13.01 238.8
Server Jitter 134.84.84.84 0.000 8.452 12.940 26.404 51.811 68.107 307.294 38.871 59.655 17.505 29.064 µs 10.04 135.2
Server Jitter 204.9.54.119 4.656 8.364 11.321 20.726 42.401 54.851 105.065 31.080 46.487 9.869 22.898 µs 7.955 31.53
Server Jitter 2600:2600::99 (ntp1.wiktel.com) 4.436 9.659 12.935 24.716 46.475 57.048 507.581 33.540 47.389 18.100 27.011 µs 19.44 503.1
Server Jitter 2602:fde5:2a::12 6.251 8.742 12.657 244.978 581.791 602.647 1,651.871 569.134 593.905 241.159 263.164 µs 0.5702 2.29
Server Jitter 2606:4700:f1::123 (time.cloudflare.com) 5.409 8.445 12.378 27.580 109.388 273.826 3,953.993 97.010 265.381 156.908 46.033 µs 20.18 498.7
Server Jitter 2607:f388::123:2 (ntp2.doit.wisc.edu) 6.508 11.546 15.276 30.052 71.768 520.393 1,738.737 56.492 508.847 99.786 46.920 µs 7.518 91.97
Server Jitter 2610:20:6f96:96::6 (time-e-b.nist.gov) 0.006 0.014 0.020 0.035 0.066 0.082 28.993 0.046 0.067 1.111 0.081 ms 22.38 584.7
Server Jitter 2620:149:a33:4000::21 (usnyc3-ntp-002.aaplimg.com) 0.006 0.012 0.018 0.070 43.506 55.466 80.905 43.489 55.454 15.407 11.454 ms 0.436 2.71
Server Jitter PPS(0) 1.404 4.543 6.582 14.728 30.876 41.538 80.265 24.294 36.995 7.713 16.145 µs 5.923 20.48
Server Offset 132.246.11.229 1.085 1.246 1.295 1.786 3.079 3.161 3.335 1.784 1.915 0.673 2.081 ms 15.99 51.67
Server Offset 134.84.84.84 -122.621 -36.645 1.610 59.986 112.194 132.722 157.269 110.584 169.367 34.338 58.542 µs 1.985 6.255
Server Offset 204.9.54.119 19.845 30.197 39.095 59.737 86.056 98.120 118.606 46.961 67.923 14.340 60.600 µs 43.62 178.8
Server Offset 2600:2600::99 (ntp1.wiktel.com) -5.045 5.787 13.697 40.538 79.001 93.417 112.412 65.304 87.630 19.909 42.816 µs 5.448 14.77
Server Offset 2602:fde5:2a::12 1.061 1.090 1.142 1.522 2.102 2.124 2.148 0.959 1.034 0.277 1.644 ms 135.1 749.5
Server Offset 2606:4700:f1::123 (time.cloudflare.com) -2.313 -2.099 -1.912 -1.742 -1.529 -1.357 -1.090 0.383 0.743 0.123 -1.735 ms -3529 5.419e+04
Server Offset 2607:f388::123:2 (ntp2.doit.wisc.edu) -1,422.947 -653.711 -538.087 -464.006 -390.376 -321.571 -242.500 147.711 332.140 102.285 -471.145 µs -200.1 1400
Server Offset 2610:20:6f96:96::6 (time-e-b.nist.gov) -94.063 -66.951 -56.775 -17.551 31.197 53.437 73.423 87.972 120.388 26.270 -15.879 µs -8.55 22.64
Server Offset 2620:149:a33:4000::21 (usnyc3-ntp-002.aaplimg.com) 755.941 773.642 790.545 832.660 883.832 898.634 929.855 93.287 124.992 28.160 834.713 µs 2.358e+04 6.779e+05
Server Offset PPS(0) -52.314 -20.131 -15.289 -2.813 24.392 37.777 77.501 39.681 57.908 12.304 0.018 µs -2.897 7.099
Temp ZONE0 36.000 37.000 37.000 38.000 40.000 41.000 42.000 3.000 4.000 0.929 38.194 °C
Temp ZONE1 37.000 37.000 38.000 39.000 40.000 41.000 42.000 2.000 4.000 0.823 39.358 °C
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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