How To Identify The Despotic Minority - 2

The first post in this series identified the hate of the press as a "DNA  marker" of the despotic minority (How To Identify The Despotic Minority).

The second "DNA marker" I want to point out today is the hate of the common good.

The posts in another Dredd Blog series have pointed out another one of the concepts held by the enemies of the common good (The Common Good, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11).

Those enemies have a basic narcissistic personality disorder that prevents them from having sufficient care for the welfare of others.

In our modern times this problematic reality has engendered the realm of psychology and a discipline that has labored to understand and treat it (Narcissistic Personality Disorder).

That is beneficial because hatred of the common good is not something to toy around with.

Historically, the despotic minority has metastasized into the greatest enemy of the common good:

A despotic minority is an alien ideology within a free constitutional society.

Once that aspect of a culture becomes hooked up with "nationalism" and "militarism" that culture's "goose is cooked" as the saying goes:

History told us this was going to happen:

But always TCS is primarily the population segment diagnosed as a despotic minority which the once most-often-quoted historian, Toynbee, fingered as one of the members of the trinity of extinction that he found in all civilizations that were about to become very successful at becoming extinct:

That something is the dementia that produces and ends up in suicide:

"In other words, a society does not ever die 'from natural causes', but always dies from suicide or murder --- and nearly always from the former, as this chapter has shown."

(A Study of History, by Arnold J. Toynbee). There is no cure for the final symptom of that group dementia, there is only prevention by way of avoiding it altogether in the first place.

The components of that group dementia were pointed out in an encyclopedia piece concerning that historian quoted above:

"In the Study Toynbee examined the rise and fall of 26 civilizations in the course of human history, and he concluded that they rose by responding successfully to challenges under the leadership of creative minorities composed of elite leaders. Civilizations declined when their leaders stopped responding creatively, and the civilizations then sank owing to the sins of nationalism, militarism, and the tyranny of a despotic minority. Unlike Spengler in his The Decline of the West, Toynbee did not regard the death of a civilization as inevitable, for it may or may not continue to respond to successive challenges. Unlike Karl Marx, he saw history as shaped by spiritual, not economic forces" ...

(Encyclopedia Britannica, emphasis added). The show stopper, in terms of remedy, in this type of group dementia is that it is a contagious dementia.

(Etiology of Social Dementia - 18). That particular "minority" is not a racial or ethnic minority, rather, it is primarily composed of a destructive suicidal trance (Choose Your Trances Carefully, 2, 3, 4, 5, 6, 7, 8).

(Arrested Development: The Creep State). Our culture is composed, now, of the toxins of power that habitually destroy nations and civilizations (Hypothesis: The Cultural Amygdala - 2).

(When You Are Governed By Psychopaths - 8). Voting politicians out of office, because they cater to the despotic minority, is not enough.

(How To Identify The Despotic Minority). In the U.S.eh? the common good is now slanderously and pejoratively called "socialism" by the despotic minority.

The term "socialism" has been ideologically poisoned by members of the despotic minority in order to serve their own selfish purposes (No, governor, the common good is not ...).

In healthy societies, the common good has a good reputation:

"In ordinary political discourse, the “common good” refers to those facilities—whether material, cultural or institutional—that the members of a community provide to all members in order to fulfill a relational obligation they all have to care for certain interests that they have in common. Some canonical examples of the common good in a modern liberal democracy include: the road system; public parks; police protection and public safety; courts and the judicial system; public schools; museums and cultural institutions; public transportation; civil liberties, such as the freedom of speech and the freedom of association; the system of property; clean air and clean water; and national defense. The term itself may refer either to the interests that members have in common or to the facilities that serve common interests. For example, people may say, “the new public library will serve the common good” or “the public library is part of the common good”.

As a philosophical concept, the common good is best understood as part of an encompassing model for practical reasoning among the members of a political community. The model takes for granted that citizens stand in a “political” or “civic” relationship with one another and that this relationship requires them to create and maintain certain facilities on the grounds that these facilities serve certain common interests. The relevant facilities and interests together constitute the common good and serve as a shared standpoint for political deliberation. When citizens face various questions about legislation, public policy or social responsibility, they resolve these questions by appeal to a conception of the relevant facilities and the relevant interests. That is, they argue about what facilities have a special claim on their attention, how they should expand, contract or maintain existing facilities, and what facilities they should design and build in the future.

The common good is an important concept in political philosophy because it plays a central role in philosophical reflection about the public and private dimensions of social life."

(Stanford Encyclopedia of Philosophy, emphasis added). Another name for the common good is "the general welfare" as quoted in the Preamble.

When government loses the concept of the common good it begins a trek on the long road of degeneracy, and fosters the metastasizing of the despotic minority.

The despotic minority infects a number of citizens until the point is reached when history repeats itself:

"In other words, a society does not ever die 'from natural causes', but always dies from suicide or murder --- and nearly always from the former, as this chapter has shown."

(A Study of History, by Arnold J. Toynbee). One of the final series of suicidal events on the downward spiral is the loss of freedom due to the trance of militarism ("No nation could preserve its freedom in the midst of continual warfare" - James Madison).

Freedom declines as neo-feudalism increases (American Feudalism, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11) until a full blown Plutocracy results (The Homeland: Big Brother Plutonomy, 2, 3, 4, 8).

The next post in this series is here, the previous post in this series is here.

Build Your Own Sea Level Change Fingerprinting System - 3

Fig. 1 Ice Sheet Fingerprints

In this series we are analyzing "fingerprints" that identify the sources of sea level change.

In today's post let's take a look at WOD Zone 1110 and WOD Zone 1112, orienting ourselves by noting that Zone 1110 contains all or part of Laos, Vietnam and Cambodia, while Zone 1112 contains the Philippines.

For data quality purposes, as we did in the previous posts, we first note any aberrations in the data before and after correction (Fig. 3a and Fig. 3b).

On with the show.

Fig. 2 WOD Zones

On the graphic showing the sea level change impacts of Greenland and Antarctica (Fig. 1), the two zones are located in the upper right square.

The two zones are pointed to by two arrows at the lower left corner of that upper right square on each graphic (left side = Greenland; right side = Antarctica) on Fig. 1.

The Fig. 1 color graphic which originated in the paper, which I have mentioned previously in this series  (Tamisiea, M.E., and J.X. Mitrovica. 2011, Oceanography PDF), indicates that Greenland has the larger impact on Zone 1112 because as concerns Greenland impact (left hand side of Fig. 1) the Philippines are in a brown zone, which indicates the second highest sea level rise impact area.

On the other hand, Laos, Vietnam, and Cambodia are in Zone 1110, which is located in the yellow colored area on both the Greenland and Antarctica impact graphic maps, indicating a more even handed sea level change impact from the ice sheets.

Fig. 3a Zone 1110

Fig. 3b Zone 1110 Aberrant data

Thus, the fingerprint pattern in Zone 1110 (Fig. 3a) and Zone 1112 (Fig. 4) dovetail with that concept as displayed in Fig. 1.

That is because the Zone 1110 pattern or fingerprint (Fig. 3a) shows Greenland and Antarctica swapping places (higher, lower) from time to time.

In some years Greenland will have the most sea level change impact, but in other years Antarctica will.

In recent years it ends with them close to equal in terms of impact.

On the other hand Zone 1112 (Fig. 4) being in the second highest Greenland impact area (brown color, left side of Fig. 1) is impacted more by Greenland.

In recent years the Zone 1112 fingerprint pattern also shows more of a separation between Greenland influence and Antarctica influence, with Greenland winning out.

Fig. 4

I expect that to change as Antarctica contributes more and more to the equation due to its enormous size (Antarctica 2.0, 2, 3, 4, 5, 6 [& supplements A, B, C, D, E, F]).

We have now covered six of the ten zones featured in this series.

This might be a good time to review the video of Professor Mitrovica concerning the relocation and distribution patterns of ice sheet melt water around the globe (The Ghost-Water Constant, 2, 3, 4, 5, 6, 7, 8, 9).

The previous post in this series is here.

---

Dr. Mitrovica video:

08:00 The use of global mean average has led us astray for 100 years.
15:20 Taking the average assumes the imaginary bathtub model.
16:30 It is completely wrong.
21:00 100m of SLF @ Greenland's coast when all ice sheet is gone.
26:40 The Dutch government did not understand the scenario.
28:40 When the ice sheet melts, all the water is distributed in 2 weeks.
29:30 It is error to say that SLF is due only to the land rising.

---

Dept. of Justice Conspiracy Theories - 4

Conspirator?

John Brennan, former CIA Director, calls President Trump's denials of any campaign conspiracy "Hogwash" (‘Hogwash’: John Brennan torches Trump).

Does that impact the ongoing trial in Virgina?

The record supports Brennan's assertion because Rick Gates, the lieutenant to Trump campaign chair Paul Manafort, pleaded guilty to "Conspiracy Against The United States" (VOX, Chicago Tribune, Guardian).

The statute Gates pleaded guilty to reads:

If two or more persons conspire either to commit any offense against the United States, or to defraud the United States, or any agency thereof in any manner or for any purpose, and one or more of such persons do any act to effect the object of the conspiracy, each shall be fined under this title or imprisoned not more than five years, or both.

(18 U.S. Code § 371, emphasis added). It would seem, then, that since all the charges in Virginia were dropped against Gates, the conspiracy charges cannot be brought against Manafort alone.

Does the Virginia jury begin deliberating today in order to render a verdict on the conspiracy counts, or have the conspiracy charges (against Manafort) already been dropped?

Or do they deliberate only on the multiple other counts (non-conspiracy) against Manafort?

Perhaps we must wait for the next Manafort trial, in the District of Columbia (where Gates pleaded guilty) for a conspiracy conviction against Manafort:

"Gates pleaded guilty last week to separate charges, filed against him in Washington DC, that he conspired against the US and lied to investigators over the course of their inquiry.

The Virginia charges were dropped against him as part of a plea agreement in which Gates is being shown leniency by prosecutors in exchange for his full cooperation."

(Guardian, emphasis added). If Manafort is the only one found guilty of conspiracy in the Virginia case, since the relevant statute requires "two or more" conspirators, it would seem that he may have a shot at having the conspiracy counts dismissed (if they haven't been dropped already).

That would mean that the District of Columbia case is the only place where the conspiracy charges can be coherently prosecuted against "two or more" (both Gates and Manafort).

The conspiracy charges in Virginia against Manafort have evidently not been dropped according to some reports.

Here are the relevant charges:

"Subscribing to false income tax returns

Number of counts: 5
Maximum prison sentence per count: 3 years
...
Failing to file foreign bank account reports

Number of counts: 4
Maximum prison sentence per count: 5 years
...
Bank fraud and bank fraud conspiracy

Number of counts: 4 counts of bank fraud;
5 counts of bank fraud conspiracy
Maximum prison sentence per count: 30 years"

(CNBC, emphasis added). How can those 5 conspiracy charges hold when only one person is being tried and the statute reads "each shall be fined under this title or imprisoned" (In the Virginia case Gates got no fine and no jail time ... no convictions ... all charges dropped) ?

The final shoe to drop will be the potential pardon or pardons.

Would Trump only pardon Manafort, for example in order to punish Gates for "snitching?"

We shall see.

UPDATE:

The conspiracy counts are somewhat moot now because the jury in the Manafort case deadlocked on them.

I can't help but think that the poisoning of the term "conspiracy theory" by the corporate media is partly to blame.

That is one theme of this series.

The next post in this series is here, the previous post in this series is here.

Build Your Own Sea Level Change Fingerprinting System - 2

Fig. 1 Origin of Graphic (PDF)

Today let's analyze WOD Zone 7307 and WOD Zone 7407.

And let's do that analysis in the same manner that we analyzed WOD Zone 1313 and WOD Zone 1314 in the previous post of this series (Build Your Own Sea Level Change Fingerprinting System).

We will use the graphic at Fig. 1 in the same manner that we did in the previous post (ibid).

Interestingly, the context is practically the same in the sense that there is a large red area which indicates a comparatively high sea level rise impact from West Antarctica, as there was in the previous post (ibid).

Fig. 2

Also interesting is that the ice sheet impact reverses, that is, West Antarctica is the main impactor in the zones analyzed in this post, whereas Greenland was the main impactor in the previous post (ibid).

One thing that makes it even more interesting is that WOD Zone 7307 and WOD Zone 7407 are closer to Greenland than the zones in the previous post were (especially Zone 7407).

Fig. 3a

Fig. 3b

Moving along, remember as was stated in the previous post, that the first step in the process is to weed out obviously bad data.

The graphs at Fig. 3a and Fig. 3b show that there was an aberration in the data of one of these two zones, as there was in the previous post, which we must correct first before we proceed.

The problem in Zone 7407 was corrected by removing the latest year (yr 2017) which had incorrect or incomplete tide gauge data.

So, on to the graphs.

The pattern in Zone 7307 (Fig. 2) is more uniform and proportional than Zone 7407 (Fig. 3a) to the south of it because the high and low value lines follow an almost synchronous upward trend pattern.

I attribute that to consistent, evenly matched Greenland and West Antarctica impact, with West Antarctica producing the high sea level effect (black line), and Greenland mitigating it fairly evenly as shown by the low sea level effect (red line).

If you notice the left side of Fig. 1, which pertains to Greenland, some of the sea level fall reaches near or even into Zone 7407, which can be attributed to the uneven impact shown by the low value line (red line) on the graph at Fig. 3a (the two lines move away from one another rather than following an even pattern like Zone 7307 lines do).

Nevertheless, the Zone 7407 high value line (black line)  continues upward as does the Zone 7307 black line, which can be attributed to West Antarctica impact on both of them.

That is because both zones are in the high impact sea level rise red zone shown on the right side of the Fig. 1 graphic.

The uneven decrease in the red line in Zone 7407, in contrast to the increase in the black line, is because Zone 7407 is closer to Greenland than Zone 7304 is.

Therefore Zone 7407 is more subject to impacts of sea level fall influences as Greenland loses its gravitational influence that pulls seawater towards it.

To the contrary, the consistent pattern in the red and black lines in Zone 7307 is due to its being further from Greenland, so the pattern has more of the likeness of the predominant West Antarctica impact.

Four zones done, six to go.

The next post in this series is here, the previous post in this series is here.

Build Your Own Sea Level Change Fingerprinting System

Fig. 1

My previous post was placed into an ongoing series here at Dredd Blog which concerns "fingerprints" of sea level change (SLC Fingerprints R Us - 3).

This new series, which today's post begins, is going to be about the analysis of the data presented in that post à la another Dredd Blog series (Build Your Own Thermosteric Computational System, 2).

As I begin this series and this post, I have not come to any conclusions as to whether or not "fingerprints" of ice sheet melt can be detected from the analysis of all PSMSL station data within a collection of WOD Zones.

Fig. 2

The main reason I have no conclusion is that I have not analyzed the data yet, nor have I developed a process with which to analyze the zone data.

The analysis is going to be done post by post, as I write down the process I am going through in order to develop a reasonable conclusion.

It will hopefully become a process that can be used on other WOD Zone collections and by bloggers other than myself.

So, let's get started.

First, notice the graphic at Fig. 1 which is derived from a published paper (Tamisiea, M.E., and J.X. Mitrovica. 2011, Oceanography PDF).

That paper, presented in the peer reviewed Oceanography Magazine,  gives a comprehensive background as to why sea level does not change the same amount everywhere, contrary to the outdated "bathtub model" (The Bathtub Model Doesn't Hold Water, 2, 3, 4, 5).

Fig. 3a Zone 1314 up to yr 2010

Fig. 3b Zone 1314 after Fukushima quake

It also discusses sea level change "fingerprints."

Anyway, I enhanced that graphic, which depicts probable sea level change fingerprints, so that we could see what might be expected at each zone, in terms of types and amounts of sea level change (i.e. rise or fall).

I did the enhancements by adding some latitude and longitude lines, and by adding some arrows that point to the locations of the collection of WOD Zones shown on Fig. 2 (the WOD Zone map with the zones outlined by red rectangles).

The left side of the graphic @ Fig. 1 is Greenland impact, and the right side is West Antarctica impact.

By comparing Fig. 1 and Fig. 2 with the graphs of the maximum and minimum sea level change in those zones, perhaps we can detect some "fingerprints."

The colors represent the impact that Greenland and Antarctica ice sheet melt water has at various places around the globe, after being relocated there by gravity and the force of the Earth's rotation.

Moving along, note that the first thing to do in the analysis process is to check for "radical departures" in the station data (compare Fig. 3a with Fig. 3b).

That we do by noticing any anomalies in the graphs.

One of the graphs (Fig. 3b, corrected version @ Fig. 3a) had anomalous data for the years following 2010 (March 2011 Tohoku (Fukushima) Earthquake related?).

The tide gauge stations may have been moved up and/or down during the subduction event that caused the quake at 38.3 degrees North latitude and 142.4 degrees East longitude (Is A New Age Of Pressure Upon Us?, 2, 3, 4, 5, 6, 7, 8, 9, 10,11, 12, 13, 14, 15).

The PSMSL says this about it:

"A massive earthquake magnitude 9.0 occurred at 14.46 JST (05.46 UTC) on Friday 11th March 2011 with the epicentre situated approx. 70km east of the Oshika Peninsula of Tohoku. It was the largest earthquake ever to strike Japan and triggered a tsunami with waves of up to 40.5m travelling inland up to 10km. From the data plot it can be seen that obviously the tide gauge was badly damaged. Data following the earthquake flagged."

(RE: Station #1346, emphasis added). Other tide gauge stations in WOD Zone 1314 were also flagged (see Zone 1314 data here).

Anyway, with as level a playing field as we can determine at this point, we can move on to compare Fig. 1 and Fig. 2 locations with the graphs in the post that contains the WOD and PSMSL data (SLC Fingerprints R Us - 3).

Before closing for today, let's analyze WOD Zone 1313 and WOD Zone 1314 (off the coast of Japan).

The high value for WOD Zone 1313 is 652.29 mm and the low value is -535.5 mm (652.29 - 535.5 = 116.79).

The high value for WOD Zone 1314 is 1090.95 mm and the low value is 181.71 mm (1090.95 − 181.71 = 909.24).

Notice that Zone 1314 is in the red spot in the graphic on the left side of Fig. 1 (indicating maximum impact from Greenland), while Zone 1313 is only in the orange color.

This fingerprint tells us that more Greenland melt water has relocated to Zone 1314 than Antarctica melt water has.

See if you can follow this analytical technique in the other graphs (I haven't done that yet).

The next post in this series is here.

SLC Fingerprints R Us - 3

Fig. 1 The Ten WOD Zones

Anyone want to do some sleuthing to find a new way to detect where the ice sheets are having the most impact?

An idea came to mind that may or may not pan out.

I wrote a software module to detect the 20 WOD Zones with the largest sea level change values.

I culled it down to ten zones, after removing those that the PSMSL folks said had stations in them with data aberrations.

The graph at Fig. 1 shows the ten WOD Zones that resulted after analyzing the original twenty.

My intentions are to find patterns (a.k.a. "finger prints") that would give us indications as to which ice sheet (Greenland or Antarctica) is impacting these zones.

The original set of PSMSL stations that garnered the most favor in that light numbered only about 23 (Golden 23 Zones Revisited; SLC Fingerprints R Us, 2; Weekend Rebel Science Excursion - 54).

Before I discuss possible avenues of inquiry to follow (in coming posts of this series) let's get familiar with the featured zones.

The following data (printed out by the software module I wrote) concerning the 10 WOD Zones and the PSMSL stations within them (click on the station number to go to the PSMSL website where there are more details about each station):

---

zone: 7307
4815.96 km from Greenland
8647.5 km from Antarctica

Fig. 2 Zone 7307

station: 135 (yrs: 118)
station: 148 (yrs: 116)
station: 180 (yrs: 104)
station: 224 (yrs: 79)
station: 234 (yrs: 97)
station: 299 (yrs: 91)
station: 311 (yrs: 88)
station: 360 (yrs: 87)
station: 396 (yrs: 83)
station: 399 (yrs: 53)
station: 412 (yrs: 81)
station: 462 (yrs: 27)
station: 481 (yrs: 10)
station: 597 (yrs: 53)
station: 636 (yrs: 67)
station: 719 (yrs: 10)
station: 786 (yrs: 33)
station: 862 (yrs: 16)
station: 945 (yrs: 12)
station: 971 (yrs: 13)
station: 1153 (yrs: 49)
station #1203 excluded [7 yrs]
station: 1295 (yrs: 47)
station: 1337 (yrs: 11)
station: 1338 (yrs: 10)
station: 1431 (yrs: 13)
station: 1444 (yrs: 35)
station: 1635 (yrs: 33)
station: 1636 (yrs: 33)
station #1651 excluded [9 yrs]
station #1720 excluded [4 yrs]
station #1721 excluded [4 yrs]
station: 2292 (yrs: 19)
station: 2294 (yrs: 26)
station: 2295 (yrs: 45)

---

zone: 1208
8242.4 km from Greenland
9504.89 km from Antarctica

Fig. 3 Zone 1208

station: 48 (yrs: 24)
station #49 excluded [6 yrs]
station: 369 (yrs: 77)
station: 417 (yrs: 50)
station: 543 (yrs: 65)
station: 1002 (yrs: 44)
station: 1161 (yrs: 43)
station: 1270 (yrs: 43)
station: 1369 (yrs: 33)
station: 1451 (yrs: 21)
station: 1454 (yrs: 24)

---

zone: 1314
7779.08 km from Greenland
13901 km from Antarctica

Fig. 4 Zone 1314 (corrected)

station: 131 (yrs: 58)
station: 463 (yrs: 26)
station: 635 (yrs: 67)
station: 674 (yrs: 10)
station #879 excluded [7 yrs]
station #1140 excluded [9 yrs]
station: 1149 (yrs: 49)
station: 1191 (yrs: 50)
station: 1345 (yrs: 45)
station: 1346 (yrs: 44)
station: 1364 (yrs: 44)
station: 1544 (yrs: 36)

---

zone: 7300
4815.96 km from Greenland
3926.77 km from Antarctica

Fig. 5 Zone 7300

station: 52 (yrs: 106)
station: 162 (yrs: 78)
station: 208 (yrs: 36)
station: 209 (yrs: 59)
station: 488 (yrs: 74)
station: 490 (yrs: 55)
station: 496 (yrs: 60)
station: 498 (yrs: 74)
station #506 excluded [6 yrs]
station: 960 (yrs: 38)
station: 981 (yrs: 45)
station: 985 (yrs: 57)
station: 1336 (yrs: 14)
station: 1425 (yrs: 21)
station: 1455 (yrs: 20)
station: 1456 (yrs: 13)
station: 1460 (yrs: 10)
station: 1809 (yrs: 25)
station: 1810 (yrs: 25)
station: 1813 (yrs: 23)
station: 1883 (yrs: 20)
station: 1940 (yrs: 12)
station: 2047 (yrs: 19)
station #2054 excluded [8 yrs]
station #2055 excluded [8 yrs]
station: 2056 (yrs: 11)
station #2057 excluded [9 yrs]
station: 2058 (yrs: 10)
station #2059 excluded [9 yrs]
station: 2117 (yrs: 12)

---

zone: 1313
7779.08 km from Greenland
13901 km from Antarctica

Fig. 6 Zone 1313

station: 94 (yrs: 90)
station: 130 (yrs: 87)
station: 132 (yrs: 87)
station: 133 (yrs: 87)
station: 134 (yrs: 61)
station: 359 (yrs: 85)
station: 407 (yrs: 74)
station: 461 (yrs: 12)
station: 627 (yrs: 28)
station: 663 (yrs: 31)
station: 669 (yrs: 17)
station #673 excluded [7 yrs]
station: 701 (yrs: 65)
station: 722 (yrs: 63)
station #749 excluded [8 yrs]
station: 752 (yrs: 61)
station: 753 (yrs: 63)
station #783 excluded [6 yrs]
station: 808 (yrs: 61)
station: 809 (yrs: 60)
station: 810 (yrs: 56)
station: 811 (yrs: 60)
station: 812 (yrs: 61)
station: 814 (yrs: 58)
station: 815 (yrs: 60)
station: 816 (yrs: 61)
station: 817 (yrs: 61)
station: 845 (yrs: 37)
station: 846 (yrs: 36)
station: 847 (yrs: 34)
station: 860 (yrs: 23)
station: 868 (yrs: 16)
station: 872 (yrs: 13)
station: 876 (yrs: 11)
station #880 excluded [7 yrs]
station #881 excluded [7 yrs]
station: 912 (yrs: 51)
station: 952 (yrs: 49)
station #1023 excluded [6 yrs]
station: 1026 (yrs: 55)
station: 1028 (yrs: 55)
station: 1060 (yrs: 54)
station: 1061 (yrs: 53)
station: 1062 (yrs: 54)
station: 1064 (yrs: 45)
station: 1089 (yrs: 53)
station: 1090 (yrs: 53)
station: 1091 (yrs: 53)
station: 1093 (yrs: 53)
station: 1094 (yrs: 53)
station: 1095 (yrs: 53)
station: 1096 (yrs: 53)
station: 1097 (yrs: 53)
station: 1098 (yrs: 53)
station: 1099 (yrs: 53)
station: 1102 (yrs: 53)
station #1142 excluded [5 yrs]
station: 1146 (yrs: 49)
station: 1148 (yrs: 52)
station: 1150 (yrs: 52)
station: 1184 (yrs: 14)
station: 1190 (yrs: 50)
station: 1209 (yrs: 50)
station: 1210 (yrs: 50)
station: 1212 (yrs: 50)
station: 1222 (yrs: 15)
station: 1263 (yrs: 48)
station: 1264 (yrs: 48)
station: 1265 (yrs: 48)
station: 1293 (yrs: 47)
station: 1306 (yrs: 21)
station: 1320 (yrs: 46)
station: 1343 (yrs: 44)
station: 1344 (yrs: 44)
station: 1386 (yrs: 43)
station: 1387 (yrs: 42)
station: 1389 (yrs: 43)
station: 1390 (yrs: 43)
station: 1437 (yrs: 36)
station: 1438 (yrs: 36)
station: 1440 (yrs: 37)
station: 1488 (yrs: 39)
station: 1490 (yrs: 39)
station: 1523 (yrs: 28)
station: 1545 (yrs: 36)
station: 1567 (yrs: 34)
station: 1585 (yrs: 34)
station: 1789 (yrs: 26)
station: 1790 (yrs: 26)
station: 1830 (yrs: 20)

---

zone: 7500
2679.94 km from Greenland
6133.4 km from Antarctica

Fig. 7 Zone 7500

station: 5 (yrs: 69)
station: 15 (yrs: 89)
station: 21 (yrs: 104)
station: 66 (yrs: 17)
station: 95 (yrs: 120)
station: 190 (yrs: 38)
station: 202 (yrs: 103)
station: 219 (yrs: 47)
station: 257 (yrs: 14)
station: 286 (yrs: 57)
station: 314 (yrs: 40)
station: 350 (yrs: 57)
station: 361 (yrs: 83)
station: 432 (yrs: 72)
station: 435 (yrs: 35)
station: 755 (yrs: 42)
station: 765 (yrs: 18)
station: 802 (yrs: 13)
station: 861 (yrs: 16)
station: 916 (yrs: 45)
station: 936 (yrs: 55)
station: 939 (yrs: 13)
station: 944 (yrs: 13)
station: 967 (yrs: 12)
station: 982 (yrs: 57)
station: 1074 (yrs: 30)
station: 1109 (yrs: 52)
station: 1112 (yrs: 37)
station: 1214 (yrs: 32)
station: 1215 (yrs: 44)
station: 1281 (yrs: 12)
station: 1491 (yrs: 29)
station: 1505 (yrs: 36)
station: 1526 (yrs: 28)
station: 1700 (yrs: 30)
station: 1731 (yrs: 28)
station: 1732 (yrs: 24)
station: 1758 (yrs: 27)
station: 1771 (yrs: 24)
station: 1772 (yrs: 21)
station: 1773 (yrs: 27)
station: 1774 (yrs: 27)
station: 1775 (yrs: 26)
station: 1793 (yrs: 18)
station: 1794 (yrs: 26)
station: 1832 (yrs: 25)
station: 1854 (yrs: 24)
station: 1856 (yrs: 23)
station: 1867 (yrs: 23)
station: 1878 (yrs: 18)
station #2011 excluded [9 yrs]
station #2278 excluded [9 yrs]
station #2279 excluded [7 yrs]
station #2280 excluded [6 yrs]
station #2281 excluded [7 yrs]
station #2282 excluded [7 yrs]
station #2283 excluded [5 yrs]
station #2284 excluded [5 yrs]
station #2285 excluded [3 yrs]

---

zone: 1112
9954.44 km from Greenland
11676.8 km from Antarctica

Fig. 8 Zone 1112

station: 145 (yrs: 102)
station: 394 (yrs: 73)
station: 522 (yrs: 70)
station #548 excluded [7 yrs]
station: 664 (yrs: 26)
station: 1705 (yrs: 20)
station: 1711 (yrs: 23)
station #2035 excluded [8 yrs]
station #2150 excluded [5 yrs]
station #2151 excluded [5 yrs]
station #2157 excluded [6 yrs]
station #2172 excluded [6 yrs]
station #2173 excluded [6 yrs]
station #2176 excluded [6 yrs]

---

zone: 7209
6353.11 km from Greenland
10512.5 km from Antarctica

Fig. 9 Zone 7209

station: 161 (yrs: 110)
station: 440 (yrs: 34)
station: 497 (yrs: 73)
station: 538 (yrs: 61)
station: 725 (yrs: 55)
station: 828 (yrs: 51)
station: 918 (yrs: 27)
station: 919 (yrs: 27)
station: 920 (yrs: 23)
station: 922 (yrs: 12)
station: 1020 (yrs: 18)
station: 1038 (yrs: 35)
station: 1835 (yrs: 22)
station: 1903 (yrs: 20)
station: 2297 (yrs: 12)

---

zone: 7407
3736.51 km from Greenland
8835.99 km from Antarctica

Fig. 10 Zone 7407

station: 12 (yrs: 147)
station: 126 (yrs: 111)
station: 137 (yrs: 47)
station: 144 (yrs: 105)
station: 173 (yrs: 85)
station: 183 (yrs: 106)
station: 192 (yrs: 100)
station: 201 (yrs: 102)
station: 235 (yrs: 97)
station: 288 (yrs: 55)
station: 351 (yrs: 88)
station: 362 (yrs: 70)
station: 366 (yrs: 86)
station: 367 (yrs: 85)
station: 387 (yrs: 61)
station: 429 (yrs: 80)
station: 430 (yrs: 72)
station: 519 (yrs: 70)
station: 775 (yrs: 23)
station: 776 (yrs: 22)
station: 848 (yrs: 34)
station: 856 (yrs: 25)
station: 875 (yrs: 12)
station: 951 (yrs: 56)
station: 999 (yrs: 55)
station: 1005 (yrs: 33)
station: 1068 (yrs: 54)
station: 1111 (yrs: 53)
station: 1223 (yrs: 12)
station: 1244 (yrs: 49)
station: 1392 (yrs: 38)
station: 1637 (yrs: 29)
station #1654 excluded [6 yrs]
station: 1798 (yrs: 25)
station: 2291 (yrs: 14)

---

zone: 1110
9720.54 km from Greenland
11618.7 km from Antarctica

Fig. 11 Zone 1110

station: 444 (yrs: 75)
station: 449 (yrs: 63)
station: 1003 (yrs: 49)
station: 1407 (yrs: 12)
station: 1449 (yrs: 37)
station: 1475 (yrs: 36)
station: 1495 (yrs: 35)
station: 2267 (yrs: 10)
station: 2268 (yrs: 10)

---

As you can see, some PSMSL stations were not used because they had less than ten years of records.

Now, let me tell you how the graphs were made.

Each station record for each month of each year was selected for lowest and highest sea level change.

The graphs show the amount of change in millimeters.

This makes a pattern.

Take that pattern and notice the distance to the two main ice sheets, and ponder those facts.

Remember that sea level falls around Greenland and Antarctica when the ice sheet melts and thereby loses some of its gravitational power and pull on the ocean around it (NASA Busts The Ghost).

By sea level fall I mean that the water that was once captured by gravity is released to be relocated elsewhere on the planet (The Gravity of Sea Level Change, 2, 3, 4).

Something tells me that we may be able to use these zones listed above in order to detect which ice sheets impact the low and the high values of sea level change within these zones (Proof of Concept, 2, 3, 4, 5, 6, 7, 8, 9).

Professor Mitrovica (video below) and his team explained how to do so on the "golden 23" but the question is: "can we tell how ice sheet melt-water impacted these zones?"

UPDATE: I removed the incorrect distances that were on the graphs.

The distances in the station lists (to the left of each zone graph) are the correct distances.

Note that distances are calculated differently for Greenland and Antarctica.

Greenland distances are calculated from the center of the WOD Zone to the center of Greenland.

Antarctica distances are calculated from the center of the WOD Zone to the conjunction of latitude -90 (90S) and the longitude of the center of the WOD Zone (straight down to Antarctica from the zone's center).

The previous post in this series is here.

---

---