NTPsec

A-ntpsec-1-hour-stats

Report generated: Mon Oct 26 08:01:02 2026 UTC
Start Time: Mon Oct 26 07:00:34 2026 UTC
End Time: Mon Oct 26 08:01:02 2026 UTC
Report published: Mon Oct 26 01:01:30 AM 2026 PDT
Report Period: 0.0 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 -3.273 -2.100 -1.324 0.092 1.170 1.772 2.210 2.494 3.872 0.767 0.026 µs -0.4924 3.971
Local Clock Frequency Offset 115.356 115.784 116.043 119.827 122.238 122.818 123.428 6.195 7.034 2.182 119.355 ppb -0.1785 1.573

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 0.523 0.604 0.706 0.984 1.430 1.551 1.703 0.724 0.947 0.227 1.015 µs 0.4393 2.495

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 193.000 221.000 254.000 353.000 515.000 628.000 716.000 261.000 407.000 84.584 364.936 10e-12 0.8354 4.057

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 -3.273 -2.100 -1.324 0.092 1.170 1.772 2.210 2.494 3.872 0.767 0.026 µs -0.4924 3.971

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 115.356 115.784 116.043 119.827 122.238 122.818 123.428 6.195 7.034 2.182 119.355 ppb -0.1785 1.573
Temp ZONE0 56.920 56.920 56.920 56.920 57.458 57.458 57.458 0.538 0.538 0.182 56.991 °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 10.000 10.000 11.000 12.000 14.000 14.000 14.000 3.000 4.000 0.982 12.230 nSat -0.05569 2.086
TDOP 0.500 0.500 0.500 0.590 0.870 0.950 0.950 0.370 0.450 0.125 0.635 0.9693 2.503

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 173.8.172.33

peer offset 173.8.172.33 plot

Percentiles...... Ranges...... Skew- Kurt-
Name Min1%5%50%95% 99%Max   90%98%StdDev  MeanUnits nessosis
Server Offset 173.8.172.33 -2.327 -2.327 -2.327 1.093 4.228 4.228 4.228 6.556 6.556 1.591 1.292 ms -0.1938 2.804

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 2.400 2.400 2.400 3.390 5.205 5.205 5.205 2.805 2.805 0.766 3.389 ms 0.9856 3.402

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 2600:1f13:eda:9800:bcd8:839c:9b40:25b2 (oregon.time.system76.com)

peer offset 2600:1f13:eda:9800:bcd8:839c:9b40:25b2 plot

Percentiles...... Ranges...... Skew- Kurt-
Name Min1%5%50%95% 99%Max   90%98%StdDev  MeanUnits nessosis
Server Offset 2600:1f13:eda:9800:bcd8:839c:9b40:25b2 (oregon.time.system76.com) 1.725 1.725 1.725 5.026 6.119 6.119 6.119 4.394 4.394 1.330 4.321 ms -0.6251 2.181

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 2600:3c02::f03c:93ff:fecf:972e (time.cifelli.xyz)

peer offset 2600:3c02::f03c:93ff:fecf:972e plot

Percentiles...... Ranges...... Skew- Kurt-
Name Min1%5%50%95% 99%Max   90%98%StdDev  MeanUnits nessosis
Server Offset 2600:3c02::f03c:93ff:fecf:972e (time.cifelli.xyz) 1.183 1.183 1.183 3.788 6.386 6.386 6.386 5.202 5.202 1.293 4.037 ms -0.1373 3.1

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 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) 3.449 3.449 3.449 3.797 5.754 5.754 5.754 2.305 2.305 0.772 4.157 ms 1.237 3.035

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) 3.143 3.143 3.143 4.310 5.837 5.837 5.837 2.694 2.694 0.673 4.408 ms 0.4039 3.229

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 2.947 2.947 2.947 3.639 4.106 4.106 4.106 1.160 1.160 0.312 3.643 ms -0.5797 3.047

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) -135.291 -135.291 -134.995 -133.973 -131.430 -131.148 -131.148 3.564 4.144 1.033 -133.675 ms 0.6553 2.57

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) -3.274 -2.101 -1.325 0.093 1.171 1.773 2.211 2.496 3.874 0.768 0.026 µs -0.4916 3.965

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 173.8.172.33

peer jitter 173.8.172.33 plot

Percentiles...... Ranges...... Skew- Kurt-
Name Min1%5%50%95% 99%Max   90%98%StdDev  MeanUnits nessosis
Server Jitter 173.8.172.33 2.260 2.260 2.260 4.085 10.431 10.431 10.431 8.171 8.171 2.296 4.616 ms 1.388 4.065

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 1.562 1.562 1.562 2.335 8.859 8.859 8.859 7.297 7.297 1.867 2.774 ms 2.828 9.433

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 2600:1f13:eda:9800:bcd8:839c:9b40:25b2 (oregon.time.system76.com)

peer jitter 2600:1f13:eda:9800:bcd8:839c:9b40:25b2 plot

Percentiles...... Ranges...... Skew- Kurt-
Name Min1%5%50%95% 99%Max   90%98%StdDev  MeanUnits nessosis
Server Jitter 2600:1f13:eda:9800:bcd8:839c:9b40:25b2 (oregon.time.system76.com) 1.630 1.630 1.630 3.949 5.072 5.072 5.072 3.441 3.441 1.216 3.342 ms 0.04859 1.368

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 2600:3c02::f03c:93ff:fecf:972e (time.cifelli.xyz)

peer jitter 2600:3c02::f03c:93ff:fecf:972e plot

Percentiles...... Ranges...... Skew- Kurt-
Name Min1%5%50%95% 99%Max   90%98%StdDev  MeanUnits nessosis
Server Jitter 2600:3c02::f03c:93ff:fecf:972e (time.cifelli.xyz) 0.559 0.559 0.559 1.994 6.290 6.290 6.290 5.731 5.731 1.346 2.231 ms 1.888 6.638

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) 0.575 0.575 0.575 1.721 4.979 4.979 4.979 4.404 4.404 1.454 2.099 ms 1.13 2.978

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) 0.774 0.774 0.774 2.986 6.984 6.984 6.984 6.210 6.210 1.901 3.177 ms 0.6971 2.47

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 0.737 0.737 0.737 1.895 12.969 12.969 12.969 12.232 12.232 3.205 2.461 ms 2.891 9.65

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) 0.202 0.202 0.235 0.642 1.128 1.948 1.948 0.893 1.745 0.285 0.684 ms 1.569 7.963

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) 0.309 0.403 0.496 0.921 1.917 2.475 3.400 1.421 2.072 0.451 1.008 µs 1.518 6.222

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 115.356 115.784 116.043 119.827 122.238 122.818 123.428 6.195 7.034 2.182 119.355 ppb -0.1785 1.573
Local Clock Time Offset -3.273 -2.100 -1.324 0.092 1.170 1.772 2.210 2.494 3.872 0.767 0.026 µs -0.4924 3.971
Local RMS Frequency Jitter 193.000 221.000 254.000 353.000 515.000 628.000 716.000 261.000 407.000 84.584 364.936 10e-12 0.8354 4.057
Local RMS Time Jitter 0.523 0.604 0.706 0.984 1.430 1.551 1.703 0.724 0.947 0.227 1.015 µs 0.4393 2.495
Server Jitter 173.8.172.33 2.260 2.260 2.260 4.085 10.431 10.431 10.431 8.171 8.171 2.296 4.616 ms 1.388 4.065
Server Jitter 2001:5a8:601:4005::36 1.562 1.562 1.562 2.335 8.859 8.859 8.859 7.297 7.297 1.867 2.774 ms 2.828 9.433
Server Jitter 2600:1f13:eda:9800:bcd8:839c:9b40:25b2 (oregon.time.system76.com) 1.630 1.630 1.630 3.949 5.072 5.072 5.072 3.441 3.441 1.216 3.342 ms 0.04859 1.368
Server Jitter 2600:3c02::f03c:93ff:fecf:972e (time.cifelli.xyz) 0.559 0.559 0.559 1.994 6.290 6.290 6.290 5.731 5.731 1.346 2.231 ms 1.888 6.638
Server Jitter 2606:4700:f1::1 (time.cloudflare.com) 0.575 0.575 0.575 1.721 4.979 4.979 4.979 4.404 4.404 1.454 2.099 ms 1.13 2.978
Server Jitter 2607:f140:ffff:8000:0:8006:0:a (ntp1.net.berkeley.edu) 0.774 0.774 0.774 2.986 6.984 6.984 6.984 6.210 6.210 1.901 3.177 ms 0.6971 2.47
Server Jitter 66.220.9.122 0.737 0.737 0.737 1.895 12.969 12.969 12.969 12.232 12.232 3.205 2.461 ms 2.891 9.65
Server Jitter SHM(0) 0.202 0.202 0.235 0.642 1.128 1.948 1.948 0.893 1.745 0.285 0.684 ms 1.569 7.963
Server Jitter SHM(1) 0.309 0.403 0.496 0.921 1.917 2.475 3.400 1.421 2.072 0.451 1.008 µs 1.518 6.222
Server Offset 173.8.172.33 -2.327 -2.327 -2.327 1.093 4.228 4.228 4.228 6.556 6.556 1.591 1.292 ms -0.1938 2.804
Server Offset 2001:5a8:601:4005::36 2.400 2.400 2.400 3.390 5.205 5.205 5.205 2.805 2.805 0.766 3.389 ms 0.9856 3.402
Server Offset 2600:1f13:eda:9800:bcd8:839c:9b40:25b2 (oregon.time.system76.com) 1.725 1.725 1.725 5.026 6.119 6.119 6.119 4.394 4.394 1.330 4.321 ms -0.6251 2.181
Server Offset 2600:3c02::f03c:93ff:fecf:972e (time.cifelli.xyz) 1.183 1.183 1.183 3.788 6.386 6.386 6.386 5.202 5.202 1.293 4.037 ms -0.1373 3.1
Server Offset 2606:4700:f1::1 (time.cloudflare.com) 3.449 3.449 3.449 3.797 5.754 5.754 5.754 2.305 2.305 0.772 4.157 ms 1.237 3.035
Server Offset 2607:f140:ffff:8000:0:8006:0:a (ntp1.net.berkeley.edu) 3.143 3.143 3.143 4.310 5.837 5.837 5.837 2.694 2.694 0.673 4.408 ms 0.4039 3.229
Server Offset 66.220.9.122 2.947 2.947 2.947 3.639 4.106 4.106 4.106 1.160 1.160 0.312 3.643 ms -0.5797 3.047
Server Offset SHM(0) -135.291 -135.291 -134.995 -133.973 -131.430 -131.148 -131.148 3.564 4.144 1.033 -133.675 ms 0.6553 2.57
Server Offset SHM(1) -3.274 -2.101 -1.325 0.093 1.171 1.773 2.211 2.496 3.874 0.768 0.026 µs -0.4916 3.965
TDOP 0.500 0.500 0.500 0.590 0.870 0.950 0.950 0.370 0.450 0.125 0.635 0.9693 2.503
Temp ZONE0 56.920 56.920 56.920 56.920 57.458 57.458 57.458 0.538 0.538 0.182 56.991 °C
nSats 10.000 10.000 11.000 12.000 14.000 14.000 14.000 3.000 4.000 0.982 12.230 nSat -0.05569 2.086
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.
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 FIsher-Pearson moment of skewness. There are other different ways to calculate Skewness Wikipedia describes Skewness best: "The qualitative interpretation of the skew is complicated and unintuitive."
A normal distribution has a skewness of zero.
Kurtosis, Kurt:
The kurtosis of a random variable X is the fourth standardized moment and is a dimension-less ratio. ntpviz uses standard Kurtosis. There are other different ways to calculate 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".
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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