NTPsec

A-ntpsec-3-hour-stats

Report generated: Sun Jun 14 13:04:25 2026 UTC
Start Time: Sun Jun 14 10:04:25 2026 UTC
End Time: Sun Jun 14 13:04:25 2026 UTC
Report published: Sun Jun 14 06:04:45 AM 2026 PDT
Report Period: 0.1 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 -3.098 -2.352 -1.679 0.031 1.293 1.693 2.663 2.972 4.045 0.869 -0.053 µs -4.847 13.3
Local Clock Frequency Offset -32.410 -30.228 -28.854 -16.144 3.876 4.898 6.470 32.730 35.126 10.265 -13.705 ppb -19.55 62.56

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 0.590 0.650 0.751 1.128 1.591 1.734 2.127 0.840 1.084 0.256 1.142 µs 52.21 222.8

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 223.000 247.000 278.000 409.000 580.000 632.000 689.000 302.000 385.000 88.835 415.584 10e-12 61.12 271.7

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 -3.098 -2.352 -1.679 0.031 1.293 1.693 2.663 2.972 4.045 0.869 -0.053 µs -4.847 13.3

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 -32.410 -30.228 -28.854 -16.144 3.876 4.898 6.470 32.730 35.126 10.265 -13.705 ppb -19.55 62.56
Temp ZONE0 49.388 49.388 49.388 50.464 50.464 51.002 51.002 1.076 1.614 0.332 50.283 °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 7.000 7.000 8.000 10.000 12.000 12.000 12.000 4.000 5.000 1.410 9.803 nSat 228.5 1466
TDOP 0.600 0.600 0.630 0.900 1.320 2.110 2.140 0.690 1.510 0.259 0.954 29.11 120.7

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 192.12.19.20

peer offset 192.12.19.20 plot

Percentiles...... Ranges...... Skew- Kurt-
Name Min1%5%50%95% 99%Max   90%98%StdDev  MeanUnits nessosis
Server Offset 192.12.19.20 1.883 1.883 2.096 2.578 2.978 3.032 3.032 0.882 1.150 0.259 2.554 ms 718.9 6588

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 2001:5a8:601:4005::36

peer offset 2001:5a8:601:4005::36 plot

Percentiles...... Ranges...... Skew- Kurt-
Name Min1%5%50%95% 99%Max   90%98%StdDev  MeanUnits nessosis
Server Offset 2001:5a8:601:4005::36 1.193 1.193 1.256 1.809 2.234 2.457 2.457 0.978 1.264 0.277 1.818 ms 189.8 1154

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::1 (time.cloudflare.com)

peer offset 2606:4700:f1::1 plot

Percentiles...... Ranges...... Skew- Kurt-
Name Min1%5%50%95% 99%Max   90%98%StdDev  MeanUnits nessosis
Server Offset 2606:4700:f1::1 (time.cloudflare.com) 1.566 1.566 1.902 2.502 4.248 4.364 4.364 2.346 2.797 0.668 2.648 ms 36.25 149

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 2607:5300:205:200::90d0 (fjord.txryan.com)

peer offset 2607:5300:205:200::90d0 plot

Percentiles...... Ranges...... Skew- Kurt-
Name Min1%5%50%95% 99%Max   90%98%StdDev  MeanUnits nessosis
Server Offset 2607:5300:205:200::90d0 (fjord.txryan.com) 1.555 1.555 1.871 2.650 4.234 4.397 4.397 2.363 2.842 0.560 2.678 ms 66.77 314.4

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:f140:ffff:8000:0:8006:0:a (ntp1.net.berkeley.edu)

peer offset 2607:f140:ffff:8000:0:8006:0:a plot

Percentiles...... Ranges...... Skew- Kurt-
Name Min1%5%50%95% 99%Max   90%98%StdDev  MeanUnits nessosis
Server Offset 2607:f140:ffff:8000:0:8006:0:a (ntp1.net.berkeley.edu) 1.548 1.548 1.847 2.797 4.341 4.489 4.489 2.494 2.941 0.671 2.918 ms 48.18 205.1

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 50.116.42.84

peer offset 50.116.42.84 plot

Percentiles...... Ranges...... Skew- Kurt-
Name Min1%5%50%95% 99%Max   90%98%StdDev  MeanUnits nessosis
Server Offset 50.116.42.84 0.347 0.347 0.709 1.301 3.059 3.066 3.066 2.349 2.719 0.711 1.513 ms 5.849 16.94

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 52.10.183.132

peer offset 52.10.183.132 plot

Percentiles...... Ranges...... Skew- Kurt-
Name Min1%5%50%95% 99%Max   90%98%StdDev  MeanUnits nessosis
Server Offset 52.10.183.132 2.012 2.012 2.098 2.978 4.627 5.112 5.112 2.529 3.100 0.783 3.201 ms 39.49 161.1

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 66.220.9.122

peer offset 66.220.9.122 plot

Percentiles...... Ranges...... Skew- Kurt-
Name Min1%5%50%95% 99%Max   90%98%StdDev  MeanUnits nessosis
Server Offset 66.220.9.122 1.357 1.357 1.449 1.907 2.398 2.684 2.684 0.949 1.327 0.260 1.920 ms 279.9 1924

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) -100.971 -100.872 -100.270 -97.888 -95.460 -94.908 -94.777 4.810 5.964 1.565 -97.899 ms -2.568e+05 1.633e+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 SHM(1)

peer offset SHM(1) plot

Percentiles...... Ranges...... Skew- Kurt-
Name Min1%5%50%95% 99%Max   90%98%StdDev  MeanUnits nessosis
Server Offset SHM(1) -3.099 -2.353 -1.680 0.032 1.294 1.694 2.664 2.974 4.047 0.870 -0.052 µs -4.846 13.3

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 192.12.19.20

peer jitter 192.12.19.20 plot

Percentiles...... Ranges...... Skew- Kurt-
Name Min1%5%50%95% 99%Max   90%98%StdDev  MeanUnits nessosis
Server Jitter 192.12.19.20 0.661 0.661 0.809 1.464 5.911 6.821 6.821 5.102 6.161 1.730 2.208 ms 2.311 5.676

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 2001:5a8:601:4005::36

peer jitter 2001:5a8:601:4005::36 plot

Percentiles...... Ranges...... Skew- Kurt-
Name Min1%5%50%95% 99%Max   90%98%StdDev  MeanUnits nessosis
Server Jitter 2001:5a8:601:4005::36 0.447 0.447 0.664 1.487 14.293 14.364 14.364 13.629 13.917 3.101 2.441 ms 2.521 9.707

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::1 (time.cloudflare.com)

peer jitter 2606:4700:f1::1 plot

Percentiles...... Ranges...... Skew- Kurt-
Name Min1%5%50%95% 99%Max   90%98%StdDev  MeanUnits nessosis
Server Jitter 2606:4700:f1::1 (time.cloudflare.com) 0.933 0.933 1.004 1.562 9.465 10.092 10.092 8.460 9.159 1.855 1.991 ms 3.995 17.24

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 2607:5300:205:200::90d0 (fjord.txryan.com)

peer jitter 2607:5300:205:200::90d0 plot

Percentiles...... Ranges...... Skew- Kurt-
Name Min1%5%50%95% 99%Max   90%98%StdDev  MeanUnits nessosis
Server Jitter 2607:5300:205:200::90d0 (fjord.txryan.com) 0.772 0.772 0.790 1.710 5.437 12.049 12.049 4.647 11.278 2.176 2.490 ms 3.141 13.12

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:f140:ffff:8000:0:8006:0:a (ntp1.net.berkeley.edu)

peer jitter 2607:f140:ffff:8000:0:8006:0:a plot

Percentiles...... Ranges...... Skew- Kurt-
Name Min1%5%50%95% 99%Max   90%98%StdDev  MeanUnits nessosis
Server Jitter 2607:f140:ffff:8000:0:8006:0:a (ntp1.net.berkeley.edu) 0.264 0.264 0.546 1.478 16.313 16.383 16.383 15.767 16.120 4.766 3.715 ms 1.217 3.676

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 50.116.42.84

peer jitter 50.116.42.84 plot

Percentiles...... Ranges...... Skew- Kurt-
Name Min1%5%50%95% 99%Max   90%98%StdDev  MeanUnits nessosis
Server Jitter 50.116.42.84 0.397 0.397 0.864 1.532 6.257 12.372 12.372 5.393 11.975 2.380 2.536 ms 2.526 9.38

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 52.10.183.132

peer jitter 52.10.183.132 plot

Percentiles...... Ranges...... Skew- Kurt-
Name Min1%5%50%95% 99%Max   90%98%StdDev  MeanUnits nessosis
Server Jitter 52.10.183.132 0.410 0.410 1.023 2.260 12.059 16.413 16.413 11.037 16.003 3.584 3.721 ms 2.03 6.501

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 66.220.9.122

peer jitter 66.220.9.122 plot

Percentiles...... Ranges...... Skew- Kurt-
Name Min1%5%50%95% 99%Max   90%98%StdDev  MeanUnits nessosis
Server Jitter 66.220.9.122 0.754 0.754 0.793 1.585 15.574 15.586 15.586 14.781 14.832 4.039 3.389 ms 1.419 4.396

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) 0.174 0.182 0.254 0.621 1.255 1.522 1.871 1.001 1.340 0.303 0.677 ms 6.493 19.97

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 SHM(1)

peer jitter SHM(1) plot

Percentiles...... Ranges...... Skew- Kurt-
Name Min1%5%50%95% 99%Max   90%98%StdDev  MeanUnits nessosis
Server Jitter SHM(1) 0.256 0.373 0.509 1.069 2.115 2.742 3.445 1.606 2.369 0.492 1.160 µs 7.647 24.88

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 -32.410 -30.228 -28.854 -16.144 3.876 4.898 6.470 32.730 35.126 10.265 -13.705 ppb -19.55 62.56
Local Clock Time Offset -3.098 -2.352 -1.679 0.031 1.293 1.693 2.663 2.972 4.045 0.869 -0.053 µs -4.847 13.3
Local RMS Frequency Jitter 223.000 247.000 278.000 409.000 580.000 632.000 689.000 302.000 385.000 88.835 415.584 10e-12 61.12 271.7
Local RMS Time Jitter 0.590 0.650 0.751 1.128 1.591 1.734 2.127 0.840 1.084 0.256 1.142 µs 52.21 222.8
Server Jitter 192.12.19.20 0.661 0.661 0.809 1.464 5.911 6.821 6.821 5.102 6.161 1.730 2.208 ms 2.311 5.676
Server Jitter 2001:5a8:601:4005::36 0.447 0.447 0.664 1.487 14.293 14.364 14.364 13.629 13.917 3.101 2.441 ms 2.521 9.707
Server Jitter 2606:4700:f1::1 (time.cloudflare.com) 0.933 0.933 1.004 1.562 9.465 10.092 10.092 8.460 9.159 1.855 1.991 ms 3.995 17.24
Server Jitter 2607:5300:205:200::90d0 (fjord.txryan.com) 0.772 0.772 0.790 1.710 5.437 12.049 12.049 4.647 11.278 2.176 2.490 ms 3.141 13.12
Server Jitter 2607:f140:ffff:8000:0:8006:0:a (ntp1.net.berkeley.edu) 0.264 0.264 0.546 1.478 16.313 16.383 16.383 15.767 16.120 4.766 3.715 ms 1.217 3.676
Server Jitter 50.116.42.84 0.397 0.397 0.864 1.532 6.257 12.372 12.372 5.393 11.975 2.380 2.536 ms 2.526 9.38
Server Jitter 52.10.183.132 0.410 0.410 1.023 2.260 12.059 16.413 16.413 11.037 16.003 3.584 3.721 ms 2.03 6.501
Server Jitter 66.220.9.122 0.754 0.754 0.793 1.585 15.574 15.586 15.586 14.781 14.832 4.039 3.389 ms 1.419 4.396
Server Jitter SHM(0) 0.174 0.182 0.254 0.621 1.255 1.522 1.871 1.001 1.340 0.303 0.677 ms 6.493 19.97
Server Jitter SHM(1) 0.256 0.373 0.509 1.069 2.115 2.742 3.445 1.606 2.369 0.492 1.160 µs 7.647 24.88
Server Offset 192.12.19.20 1.883 1.883 2.096 2.578 2.978 3.032 3.032 0.882 1.150 0.259 2.554 ms 718.9 6588
Server Offset 2001:5a8:601:4005::36 1.193 1.193 1.256 1.809 2.234 2.457 2.457 0.978 1.264 0.277 1.818 ms 189.8 1154
Server Offset 2606:4700:f1::1 (time.cloudflare.com) 1.566 1.566 1.902 2.502 4.248 4.364 4.364 2.346 2.797 0.668 2.648 ms 36.25 149
Server Offset 2607:5300:205:200::90d0 (fjord.txryan.com) 1.555 1.555 1.871 2.650 4.234 4.397 4.397 2.363 2.842 0.560 2.678 ms 66.77 314.4
Server Offset 2607:f140:ffff:8000:0:8006:0:a (ntp1.net.berkeley.edu) 1.548 1.548 1.847 2.797 4.341 4.489 4.489 2.494 2.941 0.671 2.918 ms 48.18 205.1
Server Offset 50.116.42.84 0.347 0.347 0.709 1.301 3.059 3.066 3.066 2.349 2.719 0.711 1.513 ms 5.849 16.94
Server Offset 52.10.183.132 2.012 2.012 2.098 2.978 4.627 5.112 5.112 2.529 3.100 0.783 3.201 ms 39.49 161.1
Server Offset 66.220.9.122 1.357 1.357 1.449 1.907 2.398 2.684 2.684 0.949 1.327 0.260 1.920 ms 279.9 1924
Server Offset SHM(0) -100.971 -100.872 -100.270 -97.888 -95.460 -94.908 -94.777 4.810 5.964 1.565 -97.899 ms -2.568e+05 1.633e+07
Server Offset SHM(1) -3.099 -2.353 -1.680 0.032 1.294 1.694 2.664 2.974 4.047 0.870 -0.052 µs -4.846 13.3
TDOP 0.600 0.600 0.630 0.900 1.320 2.110 2.140 0.690 1.510 0.259 0.954 29.11 120.7
Temp ZONE0 49.388 49.388 49.388 50.464 50.464 51.002 51.002 1.076 1.614 0.332 50.283 °C
nSats 7.000 7.000 8.000 10.000 12.000 12.000 12.000 4.000 5.000 1.410 9.803 nSat 228.5 1466
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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