WEBVTT 00:00:00.000 --> 00:00:03.940 For years, the MH370 satellite handshakes were 00:00:03.940 --> 00:00:07.360 often shown as large arcs across the Indian Ocean. 00:00:08.080 --> 00:00:10.439 But before we can understand the path of the 00:00:10.439 --> 00:00:13.160 aircraft, we first need to understand what a 00:00:13.160 --> 00:00:17.940 handshake signal actually is. A handshake is 00:00:17.940 --> 00:00:21.160 not a GPS position. It's a timing measurement 00:00:21.160 --> 00:00:24.940 between the aircraft and the satellite. Every 00:00:24.940 --> 00:00:26.980 time the aircraft and satellite communicated, 00:00:27.199 --> 00:00:29.460 The system measured how long the signal took 00:00:29.460 --> 00:00:33.759 to travel there and back. That timing created 00:00:33.759 --> 00:00:37.960 a distance relationship. Distance rings expanding 00:00:37.960 --> 00:00:41.600 outward from a signal source. The arcs are not 00:00:41.600 --> 00:00:46.320 flight paths. To understand MH370 satellite data, 00:00:46.780 --> 00:00:49.780 we first need to understand what these arcs actually 00:00:49.780 --> 00:00:54.820 represent. These are called BTO arcs, burst timing 00:00:54.820 --> 00:00:58.770 offset arcs. Each ring represents a measured 00:00:58.770 --> 00:01:01.810 signal distance between the aircraft and satellite. 00:01:02.729 --> 00:01:05.370 The signal traveled from the aircraft to the 00:01:05.370 --> 00:01:09.170 satellite and back again. By measuring how long 00:01:09.170 --> 00:01:12.049 that took, the system could estimate distance. 00:01:12.909 --> 00:01:15.870 The farther the signal traveled, the larger the 00:01:15.870 --> 00:01:20.310 arc became. Each handshake created another distance 00:01:20.310 --> 00:01:24.109 boundary. The aircraft was not flying on the 00:01:24.109 --> 00:01:27.920 ring itself. The ring only represents where the 00:01:27.920 --> 00:01:30.540 aircraft could exist at that signal distance. 00:01:31.540 --> 00:01:34.780 The challenge was never simply drawing arcs. 00:01:35.620 --> 00:01:38.140 The challenge was determining how the aircraft 00:01:38.140 --> 00:01:42.140 continuously moved through them over time. The 00:01:42.140 --> 00:01:46.239 satellite system itself was stable. Once the 00:01:46.239 --> 00:01:48.579 satellite handshakes established distance through 00:01:48.579 --> 00:01:52.439 the BTO arcs, Investigators then had to examine 00:01:52.439 --> 00:01:55.120 how stable those measurements actually were. 00:01:56.299 --> 00:01:59.659 This graph shows the measured BTO error behavior 00:01:59.659 --> 00:02:03.780 over time. Each vertical spike represents variation 00:02:03.780 --> 00:02:06.739 between the measured signal timing and the expected 00:02:06.739 --> 00:02:09.580 timing calculated from the satellite geometry. 00:02:12.099 --> 00:02:15.560 This first clip is the raw coexistence phase. 00:02:16.520 --> 00:02:20.189 The red waveform represents the dominant stability 00:02:20.189 --> 00:02:23.949 layer of the signal environment. The blue waveform 00:02:23.949 --> 00:02:27.729 represents the embedded continuity behavior hidden 00:02:27.729 --> 00:02:31.610 inside that larger structure. The beginning of 00:02:31.610 --> 00:02:34.550 separation between dominant stability and embedded 00:02:34.550 --> 00:02:38.449 continuity. Now the blue signal starts becoming 00:02:38.449 --> 00:02:41.969 smoother, more coherent, and more directional. 00:02:42.849 --> 00:02:46.150 At the same time, the red structure still exists, 00:02:46.370 --> 00:02:49.500 but the viewer begins recognizing the continuity 00:02:49.500 --> 00:02:52.539 path underneath the noise. This is essentially 00:02:52.539 --> 00:02:56.360 the filtering phase or continuity extraction 00:02:56.360 --> 00:03:01.099 phase, BTO error environment evolving over time. 00:03:02.080 --> 00:03:05.080 The red waveform shows the dominant stability 00:03:05.080 --> 00:03:08.520 envelope of the satellite timing system, the 00:03:08.520 --> 00:03:11.379 larger signal environment surrounding the aircraft 00:03:11.379 --> 00:03:15.530 communication path. Each fluctuation represents 00:03:15.530 --> 00:03:18.150 variation between the measured signal timing 00:03:18.150 --> 00:03:21.490 and the calculated timing expected from the satellite 00:03:21.490 --> 00:03:25.150 geometry. At first glance, the signal appears 00:03:25.150 --> 00:03:28.669 noisy and unstable with spikes and rapid changes 00:03:28.669 --> 00:03:31.210 occurring continuously throughout the timeline. 00:03:32.789 --> 00:03:35.509 When we compare the original BTO error graph 00:03:35.509 --> 00:03:38.849 to the reconstructed signal environment, an important 00:03:38.849 --> 00:03:42.849 pattern begins to emerge. At first, the original 00:03:42.849 --> 00:03:45.590 measurements appeared chaotic. a dense field 00:03:45.590 --> 00:03:49.509 of spikes, timing variation and overlapping signal 00:03:49.509 --> 00:03:53.169 behavior. But once the signal is reconstructed 00:03:53.169 --> 00:03:56.509 as a continuous waveform environment, we begin 00:03:56.509 --> 00:03:59.449 recognizing that the same structure was already 00:03:59.449 --> 00:04:03.650 present inside the original data. The reconstructed 00:04:03.650 --> 00:04:06.990 red stability envelope now closely mirrors the 00:04:06.990 --> 00:04:10.270 overall shape and density of the original BTO 00:04:10.270 --> 00:04:14.580 error field. What initially appeared to be random 00:04:14.580 --> 00:04:18.019 noise begins revealing organized timing behavior 00:04:18.019 --> 00:04:21.980 surrounding a stable continuity carrier. The 00:04:21.980 --> 00:04:24.699 blue core signal remains centered through the 00:04:24.699 --> 00:04:27.560 middle of the environment, showing that beneath 00:04:27.560 --> 00:04:30.879 the larger fluctuations, a continuous underlying 00:04:30.879 --> 00:04:34.240 structure was always present inside the handshake 00:04:34.240 --> 00:04:37.819 system. This is the critical transition point 00:04:37.819 --> 00:04:40.839 in the analysis. The goal is no longer simply 00:04:40.839 --> 00:04:43.639 plotting individual handshake measurements, but 00:04:43.639 --> 00:04:46.500 understanding how the dominant stability environment 00:04:46.500 --> 00:04:50.519 and the embedded continuity signal interact together 00:04:50.519 --> 00:04:54.339 over time. As the two views begin resembling 00:04:54.339 --> 00:04:57.379 one another more closely, the apparent confusion 00:04:57.379 --> 00:05:00.819 inside the original graph starts resolving into 00:05:00.819 --> 00:05:04.339 a recognizable signal structure. transforming 00:05:04.339 --> 00:05:08.800 isolated spikes into an evolving waveform relationship. 00:05:10.040 --> 00:05:13.259 The red signal field still contains individual 00:05:13.259 --> 00:05:16.939 fluctuations and isolated events, but the white 00:05:16.939 --> 00:05:20.220 curve exposes the dominant trend running through 00:05:20.220 --> 00:05:24.040 the center of the data. Instead of disconnected 00:05:24.040 --> 00:05:27.579 measurements, the signal now behaves like a continuous 00:05:27.579 --> 00:05:31.480 waveform system moving around a stable equilibrium. 00:05:32.490 --> 00:05:36.769 The majority of the BTO behavior naturally concentrates 00:05:36.769 --> 00:05:39.689 toward the center of the structure, while larger 00:05:39.689 --> 00:05:43.350 deviations become increasingly rare farther from 00:05:43.350 --> 00:05:47.649 the core. This is where the analysis begins transitioning 00:05:47.649 --> 00:05:51.110 from raw observation into signal interpretation. 00:05:52.050 --> 00:05:54.829 The chaotic appearance of the original handshake 00:05:54.829 --> 00:05:57.850 environment starts collapsing into a measurable 00:05:57.850 --> 00:06:01.199 continuity pattern. revealing that beneath the 00:06:01.199 --> 00:06:03.899 spikes and short -term variation, the system 00:06:03.899 --> 00:06:06.699 was continuously operating inside a structured 00:06:06.699 --> 00:06:10.459 timing relationship. As the signal structure 00:06:10.459 --> 00:06:13.500 becomes clearer, a second behavior now begins 00:06:13.500 --> 00:06:16.259 separating itself from the surrounding noise. 00:06:17.279 --> 00:06:20.259 The blue continuity waveform starts emerging 00:06:20.259 --> 00:06:23.560 independently from inside the larger red signal 00:06:23.560 --> 00:06:27.040 environment. Even though the dominant stability 00:06:27.040 --> 00:06:30.680 field still contains spikes, variation, and short 00:06:30.680 --> 00:06:33.899 -term disturbances, the blue line continues maintaining 00:06:33.899 --> 00:06:37.319 its own smooth directional behavior through the 00:06:37.319 --> 00:06:41.019 center of the data. This is an important transition 00:06:41.019 --> 00:06:43.660 in the analysis because the continuity signal 00:06:43.660 --> 00:06:46.819 is no longer completely hidden inside the chaos. 00:06:47.779 --> 00:06:51.360 Instead, it begins revealing itself as an independent 00:06:51.360 --> 00:06:54.399 structure operating within the larger timing 00:06:54.399 --> 00:06:58.379 environment. The red field still represents the 00:06:58.379 --> 00:07:01.660 overall signal variability and dominant envelope 00:07:01.660 --> 00:07:04.819 behavior, but the blue continuity carrier now 00:07:04.819 --> 00:07:07.819 demonstrates that a stable relationship persists 00:07:07.819 --> 00:07:10.279 through the middle of the system despite the 00:07:10.279 --> 00:07:14.420 surrounding fluctuations. What initially appeared 00:07:14.420 --> 00:07:17.620 to be random handshake noise now starts behaving 00:07:17.620 --> 00:07:21.439 more like layered signal interaction. The outer 00:07:21.439 --> 00:07:24.199 red environment reflects the dominant timing 00:07:24.199 --> 00:07:27.480 variability, while the blue waveform reveals 00:07:27.480 --> 00:07:30.459 an embedded continuity structure moving through 00:07:30.459 --> 00:07:34.139 it independently. Rather than isolated spikes, 00:07:34.500 --> 00:07:37.459 the signal begins behaving like multiple interacting 00:07:37.459 --> 00:07:42.220 layers evolving together over time. At this point, 00:07:42.600 --> 00:07:46.000 the continuity signal is no longer simply existing 00:07:46.000 --> 00:07:49.339 inside the waveform. it is now demonstrating 00:07:49.339 --> 00:07:52.519 directional continuation through the signal environment 00:07:52.519 --> 00:07:56.459 itself. The yellow directional marker highlights 00:07:56.459 --> 00:07:59.600 the transition point where the embedded continuity 00:07:59.600 --> 00:08:02.399 carrier continues progressing forward while the 00:08:02.399 --> 00:08:05.259 dominant red stability field begins collapsing 00:08:05.259 --> 00:08:09.279 toward equilibrium. This becomes a major visual 00:08:09.279 --> 00:08:12.439 shift in the analysis. Earlier, the signal appeared 00:08:12.439 --> 00:08:16.180 dominated by spikes and instability. but now 00:08:16.180 --> 00:08:19.439 the blue continuity waveform maintains a smooth 00:08:19.439 --> 00:08:21.899 directional descent through the center of the 00:08:21.899 --> 00:08:25.360 system, even while large red disturbances continue 00:08:25.360 --> 00:08:28.939 occurring around it. The yellow arrow emphasizes 00:08:28.939 --> 00:08:32.539 that the continuity relationship persists independently 00:08:32.539 --> 00:08:35.840 from the surrounding noise and continues evolving 00:08:35.840 --> 00:08:39.779 through time. What makes this important is that 00:08:39.779 --> 00:08:42.899 the signal now begins behaving less like a random 00:08:42.899 --> 00:08:45.940 statistical distribution and more like a guided 00:08:45.940 --> 00:08:48.899 continuity path moving through a structured timing 00:08:48.899 --> 00:08:52.639 field. The dominant red environment still reflects 00:08:52.639 --> 00:08:55.879 the larger BTO variability, but the embedded 00:08:55.879 --> 00:08:58.519 blue carrier demonstrates stable progression 00:08:58.519 --> 00:09:02.100 through the system, revealing continuity, direction, 00:09:02.600 --> 00:09:05.799 and persistence hidden inside the original handshake 00:09:05.799 --> 00:09:09.279 behavior. The next stage of the analysis begins 00:09:09.279 --> 00:09:11.820 introducing progressive filtering directly onto 00:09:11.820 --> 00:09:15.340 the original BTO environment. Instead of forcing 00:09:15.340 --> 00:09:18.259 the signal into a final shape immediately, the 00:09:18.259 --> 00:09:21.139 waveform is processed step by step through multiple 00:09:21.139 --> 00:09:24.860 continuity -preserving stages. Each layer reduces 00:09:24.860 --> 00:09:27.940 instability, while retaining the underlying timing 00:09:27.940 --> 00:09:30.860 behavior hidden inside the original handshake 00:09:30.860 --> 00:09:34.960 structure. The raw signal begins with dense spikes, 00:09:35.519 --> 00:09:39.049 rapid fluctuation, and short -term timing variation. 00:09:40.370 --> 00:09:43.549 As outlier removal and smoothing are introduced, 00:09:44.029 --> 00:09:47.370 the larger instability begins collapsing inward 00:09:47.370 --> 00:09:50.909 while the dominant continuity relationship remains 00:09:50.909 --> 00:09:54.330 preserved. Rather than destroying the signal, 00:09:54.789 --> 00:09:58.090 the filtering stages begin exposing the stable 00:09:58.090 --> 00:10:01.529 timing behavior already operating underneath 00:10:01.529 --> 00:10:09.370 the noise. Each color layer represents a different 00:10:09.370 --> 00:10:12.929 phase of stabilization, beginning with raw, noisy 00:10:12.929 --> 00:10:15.370 measurements and progressively moving toward 00:10:15.370 --> 00:10:19.049 structured continuity recognition. The lower 00:10:19.049 --> 00:10:21.750 processing stages show how the signal evolves 00:10:21.750 --> 00:10:25.370 from raw data through outlier removal, smoothing, 00:10:25.610 --> 00:10:28.870 trend extraction, continuity lock, and finally 00:10:28.870 --> 00:10:32.740 into stabilized structure. Rather than destroying 00:10:32.740 --> 00:10:35.500 the original signal, each stage preserves the 00:10:35.500 --> 00:10:38.460 underlying continuity while reducing short -term 00:10:38.460 --> 00:10:42.700 instability and random variation. The multiple 00:10:42.700 --> 00:10:45.600 colored waveforms begin converging toward one 00:10:45.600 --> 00:10:48.659 another, revealing that beneath the noise, the 00:10:48.659 --> 00:10:52.259 dominant signal behavior remains remarkably consistent 00:10:52.259 --> 00:10:57.029 across each processing phase. The vertical yellow 00:10:57.029 --> 00:11:00.210 continuity tracers now behave like an etch -a 00:11:00.210 --> 00:11:03.470 -sketch continuity recorder, tracking the signal 00:11:03.470 --> 00:11:07.009 one step at a time as it progresses forward through 00:11:07.009 --> 00:11:10.649 the waveform environment. This becomes important 00:11:10.649 --> 00:11:13.570 because the signal is no longer behaving like 00:11:13.570 --> 00:11:17.230 disconnected handshake events. Instead it behaves 00:11:17.230 --> 00:11:20.470 like a continuously evolving motion structure 00:11:20.470 --> 00:11:24.049 where continuity persists across every filtering 00:11:24.049 --> 00:11:28.120 stage. By the final structure phase, the underlying 00:11:28.120 --> 00:11:31.879 waveform relationship becomes stabilized, measurable, 00:11:32.460 --> 00:11:34.700 and directionally coherent through time.