NTPsec

crane2.services.mbix.ca

Report generated: Wed Oct 21 21:53:04 2026 UTC
Start Time: Tue Oct 20 21:53:04 2026 UTC
End Time: Wed Oct 21 21:53:04 2026 UTC
Report Period: 1.0 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 -33.467 -21.396 -16.463 -2.713 26.449 38.232 65.884 42.912 59.628 12.858 -0.005 µs -2.983 7.03
Local Clock Frequency Offset 81.713 81.733 81.765 81.869 81.957 81.970 81.997 0.192 0.237 0.054 81.868 ppm 3.532e+09 5.378e+12

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 6.578 8.782 10.450 16.529 25.222 29.287 45.870 14.772 20.505 4.612 17.023 µs 28.18 106.1

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 2.309 3.244 3.861 5.958 8.730 9.934 14.103 4.869 6.690 1.506 6.093 ppb 37.85 150.6

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 -33.467 -21.396 -16.463 -2.713 26.449 38.232 65.884 42.912 59.628 12.858 -0.005 µs -2.983 7.03

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 81.713 81.733 81.765 81.869 81.957 81.970 81.997 0.192 0.237 0.054 81.868 ppm 3.532e+09 5.378e+12
Temp ZONE0 39.000 39.000 39.000 40.000 42.000 42.000 43.000 3.000 3.000 0.795 40.368 °C
Temp ZONE1 36.000 37.000 37.000 38.000 39.000 40.000 40.000 2.000 3.000 0.718 38.379 °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 0.621 0.670 0.735 1.318 2.153 2.208 2.240 1.418 1.538 0.497 1.416 ms 12.12 35.64

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 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 -83.967 -83.967 -83.967 -21.302 1.178 1.178 1.178 85.145 85.145 28.278 -37.431 µs -19.89 66.86

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 34.717 37.002 45.319 63.858 94.962 113.681 118.757 49.643 76.679 15.420 65.676 µs 45.13 189.7

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) 8.447 9.460 19.195 44.899 79.065 92.832 96.126 59.870 83.372 17.828 46.490 µs 9.306 27.07

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 2602:fde5:2a::12 (ntp2.torix.ca)

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 (ntp2.torix.ca) 8.346 8.349 8.361 8.396 8.427 8.446 8.462 0.066 0.098 0.020 8.396 ms 6.845e+07 2.8e+10

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) -1.478 -1.336 -1.296 -0.668 -0.260 -0.198 -0.174 1.037 1.137 0.331 -0.722 ms -41.98 169.2

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 2607:f128::50

peer offset 2607:f128::50 plot

Percentiles...... Ranges...... Skew- Kurt-
Name Min1%5%50%95% 99%Max   90%98%StdDev  MeanUnits nessosis
Server Offset 2607:f128::50 280.964 286.521 307.748 353.354 404.885 431.755 452.942 97.137 145.234 29.345 354.510 µs 1394 1.583e+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) -603.358 -573.286 -548.635 -466.834 -388.894 -366.785 -352.705 159.741 206.501 43.140 -465.564 µs -1675 2.019e+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 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) 53.559 69.745 77.268 113.803 164.462 195.076 206.777 87.194 125.331 27.369 116.644 µs 45.06 187.6

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 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) 753.279 762.576 782.347 826.515 867.177 883.659 887.927 84.830 121.083 24.711 826.126 µs 3.421e+04 1.113e+06

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) -33.468 -21.397 -16.464 -2.714 26.450 38.233 65.885 42.914 59.630 12.859 -0.005 µs -2.983 7.03

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 0.040 0.082 0.149 0.516 0.993 2.433 4.470 0.844 2.351 0.437 0.577 ms 6.282 51.94

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 0.000 0.000 22.170 32.721 32.721 32.721 32.721 32.721 11.049 19.219 µs 1.955 3.711

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 4.849 7.924 10.540 20.325 42.303 60.313 64.741 31.763 52.389 9.807 22.281 µs 7.371 26.14

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) 8.579 9.144 12.070 22.288 41.512 46.978 51.814 29.442 37.834 8.808 24.222 µs 11.29 35.5

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 (ntp2.torix.ca)

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 (ntp2.torix.ca) 6.817 8.685 11.823 23.382 47.981 67.123 555.421 36.158 58.438 33.273 27.376 µs 13.61 214.4

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) 6.536 9.522 15.277 34.210 140.411 341.362 508.766 125.134 331.840 55.747 50.052 µs 4.035 25.26

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

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

RMS Jitter is field 8 in the peerstats log file.



Server Jitter 2607:f128::50

peer jitter 2607:f128::50 plot

Percentiles...... Ranges...... Skew- Kurt-
Name Min1%5%50%95% 99%Max   90%98%StdDev  MeanUnits nessosis
Server Jitter 2607:f128::50 11.872 14.168 18.439 32.123 72.897 259.242 461.732 54.458 245.074 48.408 41.478 µs 6.034 46.13

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 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) 8.258 10.331 12.571 26.150 59.505 69.134 76.721 46.934 58.803 13.730 29.706 µs 6.173 19

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) 9.814 12.932 19.870 37.624 64.942 74.472 91.954 45.072 61.540 13.703 39.069 µs 12.62 41.41

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) 0.017 0.023 0.030 0.654 56.112 61.181 64.839 56.083 61.158 20.137 16.321 ms 0.2089 1.777

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) 2.615 4.853 6.944 15.573 32.432 42.532 68.987 25.488 37.679 7.944 16.948 µs 6.074 20.1

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.



Summary


Percentiles...... Ranges...... Skew- Kurt-
Name Min1%5%50%95% 99%Max   90%98%StdDev  MeanUnits nessosis
Local Clock Frequency Offset 81.713 81.733 81.765 81.869 81.957 81.970 81.997 0.192 0.237 0.054 81.868 ppm 3.532e+09 5.378e+12
Local Clock Time Offset -33.467 -21.396 -16.463 -2.713 26.449 38.232 65.884 42.912 59.628 12.858 -0.005 µs -2.983 7.03
Local RMS Frequency Jitter 2.309 3.244 3.861 5.958 8.730 9.934 14.103 4.869 6.690 1.506 6.093 ppb 37.85 150.6
Local RMS Time Jitter 6.578 8.782 10.450 16.529 25.222 29.287 45.870 14.772 20.505 4.612 17.023 µs 28.18 106.1
Server Jitter 132.246.11.229 0.040 0.082 0.149 0.516 0.993 2.433 4.470 0.844 2.351 0.437 0.577 ms 6.282 51.94
Server Jitter 134.84.84.84 0.000 0.000 0.000 22.170 32.721 32.721 32.721 32.721 32.721 11.049 19.219 µs 1.955 3.711
Server Jitter 204.9.54.119 4.849 7.924 10.540 20.325 42.303 60.313 64.741 31.763 52.389 9.807 22.281 µs 7.371 26.14
Server Jitter 2600:2600::99 (ntp1.wiktel.com) 8.579 9.144 12.070 22.288 41.512 46.978 51.814 29.442 37.834 8.808 24.222 µs 11.29 35.5
Server Jitter 2602:fde5:2a::12 (ntp2.torix.ca) 6.817 8.685 11.823 23.382 47.981 67.123 555.421 36.158 58.438 33.273 27.376 µs 13.61 214.4
Server Jitter 2606:4700:f1::123 (time.cloudflare.com) 6.536 9.522 15.277 34.210 140.411 341.362 508.766 125.134 331.840 55.747 50.052 µs 4.035 25.26
Server Jitter 2607:f128::50 11.872 14.168 18.439 32.123 72.897 259.242 461.732 54.458 245.074 48.408 41.478 µs 6.034 46.13
Server Jitter 2607:f388::123:2 (ntp2.doit.wisc.edu) 8.258 10.331 12.571 26.150 59.505 69.134 76.721 46.934 58.803 13.730 29.706 µs 6.173 19
Server Jitter 2610:20:6f96:96::6 (time-e-b.nist.gov) 9.814 12.932 19.870 37.624 64.942 74.472 91.954 45.072 61.540 13.703 39.069 µs 12.62 41.41
Server Jitter 2620:149:a33:4000::21 (usnyc3-ntp-002.aaplimg.com) 0.017 0.023 0.030 0.654 56.112 61.181 64.839 56.083 61.158 20.137 16.321 ms 0.2089 1.777
Server Jitter PPS(0) 2.615 4.853 6.944 15.573 32.432 42.532 68.987 25.488 37.679 7.944 16.948 µs 6.074 20.1
Server Offset 132.246.11.229 0.621 0.670 0.735 1.318 2.153 2.208 2.240 1.418 1.538 0.497 1.416 ms 12.12 35.64
Server Offset 134.84.84.84 -83.967 -83.967 -83.967 -21.302 1.178 1.178 1.178 85.145 85.145 28.278 -37.431 µs -19.89 66.86
Server Offset 204.9.54.119 34.717 37.002 45.319 63.858 94.962 113.681 118.757 49.643 76.679 15.420 65.676 µs 45.13 189.7
Server Offset 2600:2600::99 (ntp1.wiktel.com) 8.447 9.460 19.195 44.899 79.065 92.832 96.126 59.870 83.372 17.828 46.490 µs 9.306 27.07
Server Offset 2602:fde5:2a::12 (ntp2.torix.ca) 8.346 8.349 8.361 8.396 8.427 8.446 8.462 0.066 0.098 0.020 8.396 ms 6.845e+07 2.8e+10
Server Offset 2606:4700:f1::123 (time.cloudflare.com) -1.478 -1.336 -1.296 -0.668 -0.260 -0.198 -0.174 1.037 1.137 0.331 -0.722 ms -41.98 169.2
Server Offset 2607:f128::50 280.964 286.521 307.748 353.354 404.885 431.755 452.942 97.137 145.234 29.345 354.510 µs 1394 1.583e+04
Server Offset 2607:f388::123:2 (ntp2.doit.wisc.edu) -603.358 -573.286 -548.635 -466.834 -388.894 -366.785 -352.705 159.741 206.501 43.140 -465.564 µs -1675 2.019e+04
Server Offset 2610:20:6f96:96::6 (time-e-b.nist.gov) 53.559 69.745 77.268 113.803 164.462 195.076 206.777 87.194 125.331 27.369 116.644 µs 45.06 187.6
Server Offset 2620:149:a33:4000::21 (usnyc3-ntp-002.aaplimg.com) 753.279 762.576 782.347 826.515 867.177 883.659 887.927 84.830 121.083 24.711 826.126 µs 3.421e+04 1.113e+06
Server Offset PPS(0) -33.468 -21.397 -16.464 -2.714 26.450 38.233 65.885 42.914 59.630 12.859 -0.005 µs -2.983 7.03
Temp ZONE0 39.000 39.000 39.000 40.000 42.000 42.000 43.000 3.000 3.000 0.795 40.368 °C
Temp ZONE1 36.000 37.000 37.000 38.000 39.000 40.000 40.000 2.000 3.000 0.718 38.379 °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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