Earth is definitely showing signs of a self-regulated living organism on surface, at least between major extinctions. But even disruptions of that self-regulation can be explained either as a regular component of embryonic development process or as a presence of a disease. These interpretations are not mutually exclusive - both can be simultaneously valid, at least in some cases.
While it may be hard to identify the equivalent of genetic coding in such a large scale organism, it shouldn’t be discarded as a possibility due to lack of imagination, especially when there’s sound logic behind its existence and evidence in its favour.
In all living beings known to man, life is not limited to outer skin surface - in fact, life there is generally least diverse and complex. Higher diversity and complexity on skin surface is generally limited to short periods during embryonic development. The fact that no complex life has been detected on a surface of any planet but Earth goes in favour of this hypothesis.
Bias exists in definition of life itself in modern science - apparently there is no solid consensus on required constitution of a living being. But even if there would be one, in current climate, it would hardly allow for Earth to be alive.
However, assuming extroversion and introversion of life can go to extremes, then everything would have to be alive, only differing in the ratio of mental to physical interaction (or amount of life in these domains or dimensions of reality).
With CR, relativity of life is implied - amount of life should depend on a reference frame, so Earth too should be alive.
The entire Solar System is then also an individual organism, and, relative to that system, Sun and planets may be interpreted as organs (physically relatively passive, or extremely introverted, symbiotic organisms).
Obeying the principle of self-similarity, each living organ has an active core, replicating the role of the Sun in the Solar System to localized space-time.
These are, obviously, all extremely introverted organisms. For that reason, creatures of extroverted nature accustomed to absolutism may not recognize them as living beings, however, lack of complexity in physical momenta is simply replaced with complexity in mental momenta - which is reflected in momenta of smaller scale life-forms (or quanta of consciousness) residing inside their bodies. One of these life-forms are humans, who are, relative to Earth, likely its [precursor] neural proteins.
Deeper understanding of organisms of planetary scale (or larger) requires understanding of [discrete] scale-invariance of physical laws. One cannot expect that time for these beings (or communication between their constituent parts - ie. neuron equivalents) flows at the same rate as for organisms of smaller scale (ie. humans), nor that their tissue should look like our tissue (discrete states of invariance imply a difference).
14.4. Future development, neurogenesis
Here I hypothesize that cultivation of life on the surface of a planet is a cultivation of precursor neuron cells and proteins (relative to the planet) which are, at the point of differentiation transferred to planet’s [brain] mantle layers. Similar to accelerated (time compressed) evolution during human embryo-genesis, I hypothesize that effective time compression occurs during planetary evolution too - with the end of each cycle of general oscillation of the Solar System (Earth) and with amount of compression being inversely proportional to cycle order.
The points of differentiation and migration in neurogenesis are major mass extinction events (although limited transfer might occur in smaller extinctions too), which are thus only relative extinctions - life is not completely extinct, it undergoes rapid evolution and migrates away to mantle where it continues evolution.
I hypothesize that Earth’s brain has, like human brain, 6 major layers, and that complete formation of these layers requires 6 major mass extinctions during Phanerozoic.
At this point, there is no doubt that we are amidst an major extinction event, a 6th one.
Being part of neurogenesis, extinction events must be programmed at some level and, at least roughly, periodic.
Extinction events have relative triggers. While in the past these may have been impactors and volcanism, current extinction seems to have an anthropogenic trigger.
Thus, one might conclude that current extinction is not part of neurogenesis, rather a part of unlimited cancer growth. However, tumors in humans are known to induce neurogenesis (it is one mechanism enabling migration - metastasis).
I find the induction questionable though - humans are not consciously triggering neurogenesis on Earth, it is thus more plausible for neurogenesis to be a reaction of the immune system to inhibit cancer growth. Extinctions coupled with neurogenesis go in favour of such hypothesis. In case of cancer in humans though, and at least during adult neurogenesis in humans, the immune system seems to fail to cure or exterminate the cancerous cells in most cases (in case of humans who are cancerous themselves for Earth, I believe).
The immune system of Earth though, should be more advanced, and I believe cancerous homo.beta[
63] will be subdued.
Judging by past major extinctions, and correlating with human neurogenesis, these events should be expected with the advancement of planetary neurogenesis:
increasing rate of volcanism and earthquakes (due to gyrification/formation of brain tissue, incl. fragmentation/cracking of the crust and flooding of the surface, curing cancer?),
asteroid/cometary impacts (providing energy, acting as specific event triggers - ie. graviton energy level changes, tissue formation with volcanism, curing cancer?),
water level changes (melting of polar ice to enable migration, flooding of surface with interior water, curing cancer?),
ocean pH reaching minimum (possibly triggering migration, curing cancer?).
Migration of cells and proteins from surface to mantle layers requires tunnels connecting these regions. Most likely, these tunnels exist on specific places and are recreated or reopened at time of migration. A likely place for such tunnel opening on surface is the south pole, but may exist on north pole of a planet too.
Cells and proteins are transferred with the flow of cerebrospinal fluid (CSF) - a salty ocean. In humans, CSF has a pH of 7.33, and, since pH is scale invariant the pH of Earth’s CSF should be roughly equal. The current acidification of Earth’s oceans will, therefore, probably continue until pH drops to this value, when migration should follow. Afterwards, new surface water may be delivered by asteroid impacts, but it is also possible that some or most of it returns from the mantle.
Based on correlation with atmospheric CO
, climate models predict the hypothesized pH minimum in year 2300 AD for an atmospheric concentration of CO
of 1900 ppmv[
64] (all fossil-fuel sources burned).
A precursor of 6 mantle layers has likely been created in events during Precambrian era, while population with neuron cells and final formation is occurring in Phanerozoic.
There have been 5 major extinctions in Phanerozoic, thus the next event should populate top layers and complete the formation of the final layer (I):
Formed layers of Earth’s brain are shown on
Figure 17. Comparing with other layers, it seems evident that layer I is yet to be completed - green line shows possible seismic velocities after formation.
Energy from the Sun provides incubation energy used for the maintenance of the Earth’s surface ecosystem and weak evolution, but additional energy is needed for the formation of brain layers of homo.omega.
This energy is delivered through asteroid (also could be interpreted as food) and possibly cometary (water/organic compounds) impacts.
Year 2300 AD for the event is very conservative though, as it is based on linear extrapolation, does not include rising water temperatures and reaction of the biosphere.
Acidification of water at these events must be, in large part, driven by injections of gases (ie. sulfur dioxide) through oceanic ridges and vents which would introduce significant departure from linear correlation of pH with atmospheric CO.
Mathematical analysis of past perturbations of Earth’s carbon cycle [
67] also predicts sooner triggering of the 6th major extinction event, before year 2100[
68] (based on most likely future emission scenarios, the critical mass of oceanic carbon uptake calculated by the study author will be reached before year 2066).
From
Figure 18 and more recent models [
70], it is evident that CO
concentration has a decreasing trend (expected due to increased energy from the Sun = less greenhouse gases needed to maintain the temperature).
Everything in nature oscillates (and fluctuates) so this decrease in amplitude should not be linear either, however some periodicity in extinctions must be present.
Statistically significant periodicity of extinctions[
71] (at least in the last 250 million years) has been noted before - 26, and more recently, 27 million years between extinctions[
72]. In any case, due to differences in extinction strength, multiple harmonics (or energy splitting of a single oscillator) are possible.
Using available data, one can construct models for atmospheric CO
concentration synchronized with the oceanic pH minimum of a particular major extinction, as shown in
Table 22.
Models are constructed in such a way to simulate oscillation of CO markers and compression of the amplitude with time, but they are also quantized - each marker is a multiple of 50 ppm CO quantum.
Some of the models are shown in
Figure 19, blue dots are major extinction events, red triangles are minor extinction events (the curve does not necessarily follow actual CO
levels between the extinctions, it is only used to illustrate oscillation of markers).
From these models, grouping of extinctions (suggesting oscillation of frequency) becomes more apparent. Major extinctions can be grouped into pairs separated by 126.5 (±8.5) million years, while paired extinctions are separated by roughly half that distance - 62.5 (±11.5) million years. Minor extinctions (420, 305, 145 and 34 mya) may be grouped in the same way - pairs separated by 160 million years, 113 (±2) million years separation of paired extinctions.
Model a) is the product of energy level splitting of a single oscillator, while b) is the product of 2 harmonic oscillators - one high energy (major) and one low energy (minor).
Points on the curve should not be interpreted as maximum atmospheric CO levels across the boundary, simply the points of migration or pH minimums.
While these particular models may be speculative, all Phanerozoic CO
models show decreasing CO
over time (this should be more evident when comparing boundaries of major extinction events) and recent research shows that maximum atmospheric CO
across the K-Pg boundary (last major extinction) was 875 ppm[
73].
Thus, the maximum atmospheric CO concentration during current extinction should be lower than 875 ppm, probably not higher than 800 ppm and likely lower than 800 ppm (suggesting that a larger part of acidification will not be sourced in dissolved atmospheric CO).
Recent history of CO
concentration is shown in
Figure 20. Assuming that CO
has been, during that history, correlated with rate of evolution, one can extrapolate the relation for accelerated evolution of the current
extinction.
Extrapolating from
Figure 20, from year 1850 onward:
which, for the concentration of 800 ppmv gives year T = 2075.
While humans may eventually reduce their CO emissions significantly, the rate of evolution should keep accelerating according to equation and, regardless of atmospheric CO (which may still be increasing even with 0 human emissions), the required pH minimum will eventually be reached.
Asteroid impacts, previously correlated with Earth’s graviton energy level changes, should start before the migration, increasing in frequency and energy afterwards. Although required energy for changes may be lower than in previous major extinctions, it should still be significant.
Assuming interval between impacts is quantized proportionally to a 50 ppm CO
increase (representing a quantum of energy), given the C1.1 equation, one can calculate years of impact and correlated these with possible impactors, as shown in
Table 23. Evidently, there are
good candidates among extinction causing asteroids in NEO (near Earth orbit) for calculated dates.
Fission of extinction pulses is possible (multiple impacts, ie. one in 2029 and other in 2066) and may be interpreted as splitting of energy levels (breaking of Apophis - homo induced?), which has probably happened in previous extinctions.
Such pulses might not only be plausible but necessary - first pulse would include asteroid impact(s) (possibly triggering additional ocean acidification and formation of the layer in the mantle), the other would provide new water/life, either by comets or asteroids. A third pulse in between might also be needed to trigger the (now acidified - CSF) ocean sink and, relatively, sterilize the surface (as noted before, all this is probably synchronized with magnetic field collapse, allowing surface sterilization by UV/gamma radiation).
It might seem that new water this time is not needed - as formation of mantle layers should be complete with this extinction (corresponding to Carbon nature of the Solar System) there is no need for cultivation of new progenitor cells on surface. However, it probably does happen as it would provide additional radiation protection and provide support for whatever life remains on, or near, surface.
This is evident on Mars - as layers below the surface formed, magnetic field receded leaving the surface sterilized. Delivered water froze and is now covered with dust. Thus, one can only expect to find residual and resilient bacteria within the crust of Mars.
Similar happened on Venus except water evaporated due to high surface temperature.
Nothing in nature is linear (although this approximation may be suitable during stages of weak evolution) and in these extreme events one can expect significant departures from linear relations (by multiple orders of magnitude) between phenomena.
Since these events are coupled with gravitational stresses of the Solar System one can expect temporary but significant increase in alpha and neutrino radiation (radiation flux induced by temporary collapse of a gravitational well associated with a large scale graviton - strongly affecting half-lives of isotopes).
The assumption of absolutely constant decay rates will not only produce incorrect ages but can result in misplacement of events on a geological timescale. Thus, inconsistencies in certain geological records can serve as indirect evidence to disruptions in decay rates.
Consider the neutrino pulse on
Figure 21 - under the assumption of constant decay rates, 3 different fossil records A, B, C may give following results:
assuming non-isotropic space-time perturbation, such that fossil record A decay is not affected by the event at t, the event at t (associated with fossil record B) might appear to have happened before the event at t (associated with fossil record A)
in case decay rates of both A and B are affected, the distance of t and t to t will be increased (time interval expansion)
Neutrino flux can also be decreased indicating shortening (rather than expansion) of time intervals, although in this context the increase of the flux is expected.
Due to accumulation, duration of fossilized events would apparently increase with time so older events would seem longer in duration compared to more recent events. This is exactly the case with current fossil evidence of past carbon cycle disruptions.
In such case, the current rate of CO injection is not different from those in previous major extinctions (the fact that it is anthropogenic makes no difference).
If one assumes that the average period between extinctions is equal to the 2nd order oscillation period of the Solar System, in case of ideal synchronization, it is quantized by the 3rd order period of existence (T
= 1.512 * 10
years). In such case, assuming the period must be roughly 26 or 27 million years, the proper period is:
This is in agreement with previously determined periodicity of impact cratering (25.8±0.6 * 10
years)[
72].
One can now assume that the CO
injection within the Cretaceous-Paleogene (K-Pg) boundary (66.5 - 65.5 mya) is equal to current injection (currently dominantly anthropogenic) and that increase of decay rate (effective compression of time, causing boundary to be significantly overestimated in duration) is induced within the boundary - with the start of boundary corresponding to t
and end to t
on
Figure 21.
Assuming CO
increased from 780 ppmv to 1440 ppmv (
CO
= 660 ppmv) in period 66.5 mya - 65.5 mya (
t
= 1 million years)[
81], compression of time
t
with each major extinction is:
where
t
is the period of 660 ppmv of anthropogenic CO
increase since year 1850 (assuming this is the start of the new boundary), calculated using (C1.1).
However, year 1850 as the start of the boundary is not convincing and recent research shows CO injection of 250 ppm, not 660 ppm, within the K-Pg boundary, though this does not affect compression (t) significantly (it makes it larger for a couple of decades at most).
Most likely start of a new boundary (end of Holocene) is year 2065 or 2066, which, with an increase of 250 ppm, gives year 2084 as the end, the same as in the previous assumption (1850 + 234 = 2084).
Gravitational collapses during strong evolution pulses with a period of T years (3rd order period) may last only t = 19.3 seconds, but collapses during stronger evolution pulses occurring with a period of T years (2nd order) last longer (possibly 7 days).
With each extinction, gravitational collapse of the Sun releases the pressure from condensed energy beyond the surface event horizon and the Sun effectively starts expanding.
The expansion reaches the orbit of Mars before the gravitational well is restored, so, assuming expansion at the speed of light, time of increased decay radiation is:
where r
is the distance of Mars to Sun.
Now one can calculate time compression with each cycle (pulse) of existence
t
and each extinction
t
:
Age of Earth is thus overestimated by:
giving the real age of Earth:
where
T
= 4.54±0.05 * 10
years.
If one assumes that T is the equivalent of 1 day of human embryo development, Earth is at the week 25 (GW25) of gestation period (right at the beginning, in case of corrected age).
The GW25 marks the end of embryonic neurogenesis in humans and thus agrees with the suggestion of final major extinction.
The current carbon cycle disruption (6th major extinction) will thus not span thousands ( 10000) of years as predicted by the assumption of constant decay, but at most 234 years - starting from year 1850 (10000 years of already passed Holocene extinction may be regarded as a precursor to the major event starting at year 1850).
Note that this year corresponds to 950 ppm, as predicted by (C1.1).
14.4.1. Magnetic field collapse
As noted before, the 6th major extinction will likely include a decline of the Earth’s magnetic field, either as a temporary excursion (partial or global collapse), part of a complete reversal, or even a longer-lasting or permanent retreat. The Earth’s magnetic field is currently declining at an accelerated rate, which, when coupled with the rapid movement of magnetic poles, indeed suggests imminent collapse. The previously determined correlation of the 4th order period of general oscillation of the Solar System with past excursions (see chapter 8 The cycles) also suggests that, at least, a magnetic excursion is near.
If that is so, when will the collapse, partial or not, occur?
With no further acceleration of the decline the collapse would occur sometime beyond year 2100. However, such scenario is unlikely - additional acceleration is expected for a collapse.
The collapse should also be relatively synchronized with other impactful events, which, as I hypothesize, are correlated with the rate of evolution - which is currently correlated with the rate of atmospheric CO increase. With the assumption of events occurring with every 50 ppm increase of CO, per the equation C1.1, one obtains the following years:
2029, 2040, 2048, 2055, 2061, 2066, ...
Thus, the magnetic collapse should not occur before year 2029 (or, 450 ppm CO) and most likely not after year 2066. I find it likely to occur sometime around 2048, however, it full collapse is imminent, it may be preceded by multiple partial and/or temporary collapses, perhaps even with first one occurring 2030±1.
14.4.2. Sea level changes
Neurogenesis requires transfer of differentiated progenitor cells to subterranean world, into designated mantle layers. Therefore, a passageway must exist somewhere, connecting the surface with underground tunnels leading to such places - unless one is created when needed, which I find unlikely.
Scaling the largest neuron cells to Earth size, such passageway must have a radius of at least ≈ 250 meters to allow sequential cell transfer. However, parallel transfer of multiple cells is certainly more plausible - a radius on the order of 10 m.
Thus, the only location where this could remain hidden (protected) and isolated when unused is Antarctica. Ice melting is required to expose this location but likely also to rise the sea level in order to pick up the proteins and cells on land area.
Rise in atmospheric greenhouse gases is unlikely to produce adequate rise in temperature required to melt all ice in the predicted short time-frame. Thus, different mechanisms should be responsible to induce significant breaking and melting of ice sheets. In addition to greenhouse gases, volcanism/geothermal sources are likely. Melting can also be accelerated by asteroids, but also by alien species from the deep.
14.4.3. Analysis of past extinctions
Here, past extinctions are analysed for periodicity, with incorporated corrections by previously calculated time compression due to pulses of decay rate changes.
Periodicity is obtained using circular spectral analysis [
83] of a couple of datasets, which all give similar results.
Data is grouped into energy levels corresponding to the extinction magnitude (5 - major extinctions, 4 - minor extinctions, 3 - other extinctions, 2 and 1 - potential extinctions).
The method In the circular model of periodicity a time line is wrapped around a circle, the circumference of which represents a trial period. For each occurrence, a unit vector from the origin is calculated. If periodic, the series will tend to form a cluster at one point on the circumference when the correct trial period is used. Here, angular location relative to 0 (present) gives the phase (t).
Ages of individual events (t
) are transformed to angles (a
, b
) for each trial period P:
where R is a mean vector magnitude (normalized measure of goodness of fit). The phase shift (t
) is calculated as follows:
Dataset 1 Extinction events in dataset 1, grouped into energy levels and calculated corrected ages for these events, respectively, are shown in
Table 26.
Maximal R was obtained for a period P = 25.92 My (million years), with a phase of 9.355 My.
On the left,
Figure 22 shows extinctions plotted against the obtained periodicity (dashed grey line), solid colored circles are extinction events with corrected ages, empty circles are extinctions with non-corrected ages. On the right,
Figure 22 shows the result of circular spectral analysis.
Dataset 2 Here, a larger dataset from a single source was used. Maximal R reveals a period P = 26 My, with a phase of 8.617 My.
Table 27.
Extinction events dataset 2, source: Gradstein2016
Table 27.
Extinction events dataset 2, source: Gradstein2016
| energy level |
extinction events [mya] |
extinction events (t), age corrected [mya] |
| 5 |
66, 201.4, 251.9, 372.2, 445.2 |
61.986, 190.308, 238.041, 352.461, 421.348 |
| 4 |
37.8, 145, 259.8, 306.7, 419.2 |
36.206, 136.774, 245.793, 289.975, 396.744 |
| 3 |
11.6, 93.9, 183.7, 228.5, 272.3, 423, 427.4, 485.4, 500.5 |
11.402, 88.465, 173.88, 215.987, 257.12, 400.469, 403.82, 458.929, 473.782 |
| 2 |
113.1, 168.3 |
107.344, 159.702 |
Extinctions and the result of spectral analysis are shown in
Figure 23.
Dataset 3 Previous datasets do not take into account possible splitting of energy levels. Here, an even larger dataset is presented which shows possible energy splitting and how this, when not accounted for, causes lower confidence in calculated P.
Table 28.
Extinction events dataset 3, source: Gradstein2016
Table 28.
Extinction events dataset 3, source: Gradstein2016
| energy level |
extinction events [mya] |
extinction events (t), age corrected [mya] |
| 5 |
66, 201.4, 251.9, 372.2, 445.2 |
61.986, 190.308, 238.041, 352.461, 421.348 |
| 4 |
37.8, 145, 259.8, 306.7, 419.2, 514 |
36.206, 136.774, 245.793, 289.975, 396.744, 486.084 |
| 3 |
11.6, 93.9, 183.7, 228.5, 272.3, 423, 427.4, 485.4, 500.5, 541 |
11.402, 88.465, 173.88, 215.987, 257.12, 400.469, 403.82, 458.929, 473.782, 511.664 |
| 2 |
113.1, 168.3, 330.9 |
107.344, 159.702, 312.804 |
| 1 |
295, 346.7, 393.3, 467.3 |
279.448, 328.357, 372.239, 442.101 |
Here, for R = 0.413, obtained P = 22.493 My, phase 15.603 My.
Dataset 4 Here I hypothesize that deviations from P are the result of energy splitting into smaller events which when grouped properly would fit on P intervals.
The dataset is the same as dataset 3, except the hypothesized splittings (circled extinction pairs in
Figure 24) have been grouped into a single event, simply by using arithmetic mean age of the pair.
Table 29.
Extinction events dataset 4
Table 29.
Extinction events dataset 4
| energy level |
extinction events [mya] |
extinction events (t), age corrected [mya] |
| 5 |
66, 201.4, (251.9+259.8)/2 = 255.9, 372.2, 445.2 |
61.986, 190.308, 241.967, 352.461, 421.348 |
| 4 |
37.8, 145, 306.7, (419.2+423)/2 = 421.1, (514+541)/2 = 527.5 |
36.206, 136.774, 289.975, 398.619, 499.361 |
| 3 |
11.6, 93.9, (183.7+168.3)/2 = 176, 228.5, (272.3+295)/2 = 283.7, 427.4, (485.4+467.3)/2 = 476.4, 500.5 |
11.402, 88.465, 166.304, 215.987, 268.346, 403.82, 451.053, 473.782 |
| 2 |
113.1, (330.9+346.7)/2 = 339 |
107.344, 320.78 |
| 1 |
393.3 |
372.239 |
Figure 25.
Extinctions (left), spectral analysis (right)
Figure 25.
Extinctions (left), spectral analysis (right)
The R peaks at 0.807, corresponding to P = 25.89 My, very close to one obtained from dataset 1. Phase is 9.55 My.
Dataset 5 Here dataset 4 is modified with the assumption that splitting occurs in all events, thus, in addition to previously grouped events, the remaining non-grouped events have been grouped with adjacent boundaries.
Table 30.
Extinction events dataset 5
Table 30.
Extinction events dataset 5
| energy level |
extinction events [mya] |
extinction events (t), age corrected [mya] |
| 5 |
(61.6+66)/2 = 63.8, (199.4+201.4)/2 = 200.4, (251.9+259.8)/2 = 255.9, (372.2+382.7)/2 = 377.5, (443.8+445.2)/2 = 444.5 |
60.81, 189.333, 241.967, 356.687, 420.648 |
| 4 |
(33.9+38)/2 = 36, (139.4+145)/2 = 142.2, (306.7+314.6)/2 = 310.7, (419.2+423)/2 = 421.1, (514+541)/2 = 527.5 |
34.431, 134.998, 293.926, 398.619, 499.361 |
| 3 |
(11.6+13.8)/2 = 12.7, (89.8+93.9)/2 = 91.9, (183.7+168.3)/2 = 176, (228.5+237)/2 = 232.8, (272.3+295)/2 = 283.7, (427.4+430.5)/2 = 429, (485.4+467.3)/2 = 476.4, (497+500.5)/2 = 498.8 |
12.502, 86.49, 166.304, 220.213, 268.346, 405.395, 451.053, 472.107 |
| 2 |
(113.1+126.3)/2 = 119.7, (330.9+346.7)/2 = 339 |
112.87, 320.58 |
| 1 |
(387.7+393.3)/2 = 390.5 |
369.489 |
Figure 26.
Dataset 5, spectral analysis
Figure 26.
Dataset 5, spectral analysis
The R peaks at 0.75, corresponding to P = 25.84 My. Phase for this P is 9.78 My, however, here another peak at 12.875 My (R = 0.61) reveals a likely harmonic.
Dataset 6 Here, dataset contains only highest energy (major and minor) extinctions, from dataset 1. This dataset gives highest R maximum (0.837), a period P = 25.74 My, with a phase of 9.689 My.
Table 31.
Extinction events dataset 6
Table 31.
Extinction events dataset 6
| energy level |
extinction events [mya] |
extinction events (t), age corrected [mya] |
| 5 |
66, 201.3, 252.2, 365, 445 |
61.986, 190.208, 238.316, 345.385, 421.148 |
| 4 |
37.8, 145, 260, 305, 420 |
36.206, 136.774, 245.993, 288.3, 397.519 |
Confidence Note that equal weight was assumed for all extinctions in a particular dataset. Different weights can affect the confidence in the result (less if they are all harmonics). But even with that taken into account, there is high confidence in P ≈ 25.74 My - 25.89 My.
The result with highest confidence (25.74 My) is also the closest to calculated ideal quantization by the 3rd order period (1.512 * 10 My) - 25.704 My, further increasing confidence in such periodicity.
Note that the burning cycle of the Sun’s core is calculated (in the "Quantization of the Sun" chapter) to be equal to 25.746608 My, confirming the signal.
Neurogenesis in standard lifeforms on Earth during embryonic development does imply certain periodicity in the formation of brain layers and neuron migration.
High energy impact cratering and extinctions (migrations) in planetary neurogenesis should be no exception.
In fact, with such periodicity and the last high energy extinction 37.8 My in the past, next one is overdue, roughly by the phase shift.
Thus, imminent major extinction as calculated using models based on C1.1 equation should not be surprising.
Supplement Here is the code used to calculate correct ages of extinction events, perform the analysis and generate images.(Figure: getext.php +)
14.4.4. Correlation with mantle layers
Grouping and correlation of extinction events with the formation of brain [mantle] layers also indicates that another major mass extinction should be near, at least in geological terms.
This correlation is shown on
Figure 27 - time between major extinction events of Phanerozoic is proportional to thickness of a corresponding mantle layer.
This is, effectively, a conversion of time separated discontinuities into events separated in space.
To quantify the correlation, periods of weak evolution and thicknesses of mantle layers have been normalized:
Results are shown in
Table 32. Here, corrected extinction ages are used, although non-corrected ages would yield similar results. Correlation in absolute value varies between the pairs, but overall, it is apparent.
At least some discrepancy could be explained by the fact that formation is not yet complete - ie. the boundary between layers 3 and 4 might change with the pending extinction.
If layer 3 decrease would be equal to layer 4 increase (≈ 0.0575 in normalized value) and layer 1 decrease to layer 2 increase (≈ 0.0275 ≈ 0.0575 / 2), with a small decrease in layer 5 (0.013 ≈ 0.0275 / 2) coupled with equivalent increase in layer 6, normalized extinction and mantle boundaries would be almost equal.
Effectively, what is necessary for better agreement is the upward movement of 3 discontinuities (between layers I and II, III and IV, V and VI).
However, exact location of boundaries is a matter of debate. They must have some thickness, so it may be more appropriate to equate layer thickness with distance between discontinuities. If that would be a distance between lower discontinuities of two boundaries, it would, for layer 1, yield a normalized value exactly equal to the corresponding normalized period of weak evolution:
Also, globally average velocities might not be the best choice for determination of layer discontinuities - ie. Lehmann discontinuity is at 220 km for tectonic North America, but 200 km for shield North America [
96], while it may be absent beneath north Atlantic and other oceans.
If one assumes that 200 km is a
proper boundary (220 km may be a precursor boundary that will reduce to 200 km with complete formation), the correlation with extinctions for both layers, I and II, becomes remarkable:
Some report the base of the upper mantle at 670 km[
97] rather than 660, this improves the correlation with layers 5 and 4:
Now, the only
problematic boundary is the one between layers 3 and 4 (at 520 km). Some do report this boundary at 500 km, which gives much better agreement:
Note that extinction boundaries also have some thickness or uncertainties, notably first three, which may explain differences in reported discontinuity depths. The 3rd major extinction (Permian) is apparently split into two events (End-Capitanian and Permian-Triassic). Using End-Capitanian 245.793 Mya (259.8 Mya non-corrected) instead of Permian-Triassic 238.041 Mya (251.9 Mya non-corrected) as the date of Permian extinction gives results in remarkable agreement with the obtained layers 3 and 4 (with discontinuities at 410 km, 500 km and 670 km):
The correlation, with above adjustments, is shown in
Table 33 (with ages rounded to a single decimal). The correlation, using uncorrected ages for major mass extinctions, is shown in
Table 34.
The excellent agreement here suggests no further adjustment of discontinuities is needed, except possibly for layer I, as shown in green in
Figure 27 (right) which should be unsurprising given the correlation with the current extinction.
Correlation of layer 6 and the corresponding period of weak evolution has not been determined due to unknown boundary.
However, assuming the extinction at the start of Phanerozoic (511.664 mya in corrected age, or 541 mya non-corrected) is correlated with the lower boundary of layer 6, one can calculate the thickness of layer 6:
In that case, a discontinuity, if formed, should exist in Earth’s mantle at a depth of 937 km (assuming boundary between layer 5 and 6 at 780 km).
Apparently, this discontinuity has been detected[
98] (at 940 km).
14.4.5. Evidence in time compression
If planetary neurogenesis is happening on Earth, it was likely happening on Mars and Venus too. Time, however, flows differently for animals of different size. The rate of evolution on Mars should then be different from the rate of evolution on Earth - it should be faster.
Applying Kleiber’s law, 4.54 billion years of evolution on Earth would, on Mars, last:
M = 0.642 * 10 kg
M = 5.972 * 10 kg
T = 4.54 * 10 years
Assuming Mars was formed roughly at the same time as Earth, present time on Earth corresponds to a time 3.69 billion years ago on Mars (4.54 - 0.85 = 3.69).
This is a very interesting result as studies show that Martian climate shifted from habitable to uninhabitable - when its atmosphere was lost and liquid water disappeared from surface, roughly 3.6 billion years ago[
99] (src[
100]).
This suggests that current major extinction on Earth may indeed be the final major extinction of the planetary embryogenesis (neurogenesis), after which the Earth’s surface will become permanently uninhabitable (although periodic and possibly spatially limited pulses of habitability cannot be excluded, as hypothesized pulses of adult neurogenesis).
The same equation gives evolution period of 3.9 billion years for Venus, suggesting Venus lost habitability some 640 million years ago. Again interesting, as studies show that Venus did lose habitability roughly 700 million years ago[
101].
14.4.6. Some additional predictions of neurogenesis
If cultivation of life on planet’s surface is equivalent to cultivation of neural cells during embryonic neurogenesis in mammals, the events hypothesized above are not the only upcoming events that can be predicted.
Obviously, cultivation of cells/proteins must be limited. The most effective (or most energy efficient) way to limit population growth is to substantially decrease its fertility. Recent studies show that fertility in humans is indeed decreasing, at an accelerating pace[
102].
Accelerated evolution likely includes accelerated ageing in some species or sub-species (in some, possibly reversed), cases of which are showing up in studies too[
103].