recursal/Fanatic-Fandom huggingface dataset:
Social memory

In a study where familiar and unfamiliar whistles were played to bottlenose dolphins, Bruck found that “Overall, dolphins showed significantly higher response scores to familiar whistles than to unfamiliar ones (mean response score: familiar = 2.185 ± 0.285, unfamiliar = 0.307 ± 0.115, z = 6.377, p < 0.001). There was no significant effect of time separated on response scores (model test , p = 0.288), even after 15 or more years (up to 20 years; figure 1). [...] The interaction between familiarity and dolphin age was significant (model test , p < 0.001; figure 2), with calves showing a weaker response difference than adults” (Bruck 2013). Wild bottlenose dolphins live in fission-fusion societies, which means that individuals will often come in and out of each others’ lives, and it is adaptive for them to be able to remember each other after they leave. The maximum amount of time that was tested in the experiment was 20 years, which is about half of their average lifespan in the wild. In addition, an amount of time long enough for them to forget a whistle was not found, so they could potentially remember whistles indefinitely. They seemed to associate these whistles with their conspecifics that vocalized them, even when they had not seen them for an extended period of time, which itself implies abstract reasoning, since their conspecifics would not have vocalized their whistles enough for the dolphins’ responses to be due to classical conditioning. The dolphins also got better at recognizing whistles as they aged, showing that they can improve at cognitive skills with experience and growth.
Syntax and pointing

Pack and Herman, in their paper summarizing their study on the comprehension of pointing gestures by humans in bottlenose dolphins, explained that “in Akeakamai’s prior experience, there were specific gestures for “hoop,” “surfboard,” and “pipe,” such that the sequence “hoop + pipe + fetch” was interpreted correctly as an instruction to take the pipe (the object referenced second) to the hoop (the object referenced first)” and “The dolphin was able to successfully and spontaneously locate an object at the terminal destination of a human’s point,where the object indicated lay beyond a distractor object” (Pack and Herman 2007). Syntax is one of the fundamental aspects of human languages, and previous studies with one of the dolphins in this study have indicated that dolphins can understand it. This implies that they have syntax in their languages, which would increase the complexity and variety of thoughts that they could express, helping them live in complex societies. For example, the presence of syntax in their languages would require them to understand that dolphin A doing something to dolphin B is different from dolphin B doing something to dolphin A, which would be a valuable skill to have when keeping track of shifting alliances, especially considering that dolphin A and dolphin B would likely have different social statuses. In addition, the dolphin’s comprehension of human pointing was impressive, as dolphins would normally never need to understand human gestures. The dolphin adapted to a novel situation, possibly by comparing the pointing that dolphins do towards objects that they are hitting with sonar with what the human was doing. In both cases, they would be able to gather relevant information from the pointing behavior. Metaphorical understanding such as this is an example of abstract reasoning, which is cognitively demanding and appears to be relatively rare in the animal kingdom.
Vocal learning

In a paper about cetacean vocal learning, Janik explains that, in baleen whales, “all males within the Hawaiian breeding grounds sing the same song at any one time, but that the song elements in each theme changed over time,” and “in right whale social calls and in blue whale song it has been found that the average frequency of these notes changed over time throughout a population” (Janik 2014). Slow, systemic changes to languages are one of their key features in humans, as languages arise from and are used by societies, which adopt changes when enough people start using them. Some of the only animals that this phenomenon has been found in are cetaceans, which makes sense, as they often have complex, leveled relationships that would facilitate the spread of language shifts. For example, they could first become distinctive in a friend group, then spread outwards through their connections to other groups and quickly be distinctive of their entire population. These changes likely require them to synthesize new information with what they already know, suppress urges to vocalize their songs and calls in the old, more familiar way, and participate in dynamic vocal learning throughout their lives in a continuous process.
Should cetacean cognition research be done in the wild, or captivity?

Studies that have provided insight into the sometimes highly complex cognition of cetaceans, mostly in odontocetes, have raised questions as to whether captive research is ethical. After all, enclosures have historically been very small and unstimulating, and even improved conditions often are not as varied and cognitively challenging as the wild. Since the study of cetacean cognition has uncovered a rich and valuable array of analogs to human cognition, many researchers have attempted to come up with ways to continue research in this field without compromising the ethical treatment of the animals or scientific value. In their paper “Towards a New Paradigm of Non-Captive Research on Cetacean Cognition,” Marino and Frohoff advocate for doing research on lone sociables, or wild cetaceans that do not belong to a group of conspecifics that seek out interactions with humans, as well as habituated groups. In contrast, in her paper “Marine mammal cognition and captive care: A proposal for cognitive enrichment in zoos and aquariums,” Clark defends the practice of keeping cetaceans in captivity, with the caveat that the animals’ environment should be enriched with challenging cognitive tasks. The benefits and drawbacks of these two approaches are explored below.

Marino and Frohoff Pros/Clark Cons:

* Studies on wild dolphins do not have to account for the confounding variables that captive research does, such as aberrant behaviors caused by the stress of living in an unnatural environment, although adding cognitive tasks as Clark suggests could also decrease these confounding variables.
* Wild cetaceans might perform behaviors that captive ones do not, although this possibility is reduced when they are cognitively challenged with tasks. For example, captive cetaceans that are given foraging tasks are more likely to perform foraging behaviors that they would in the wild than dolphins that are just given food.
* Removing cetaceans from the wild can depress their populations.
* Captive cetaceans often experience instability in their social lives, as they can be separated from their conspecifics frequently, which causes them stress.
* Captive cetaceans experience higher mortality than their wild counterparts, especially after being moved from the wild and to new enclosures.
* Research on lone sociables gives them social stimulation that they may be lacking.
* Pathogen transfer and/or injuries to either party could result from either research paradigm, although they are less likely to occur in the cetaceans’ natural environment.

Marino and Frohoff Cons/Clark Pros:

* Studying individuals in the wild instead of in captivity involves giving up some experimental control, which requires flexibility and careful documentation.
* Lone sociables might not be representative of their general wild populations, since they live abnormal lifestyles.
* The wild cetaceans researched could become too habituated to humans, which could be dangerous for them.
* Research on wild cetaceans is severely underfunded.
Metacognition

In a study where dolphins and humans had to indicate whether tones matched a base tone or that they did not know, which carried a penalty, it was determined that “Uncertainty would also be an intuitive way to explain the dolphin's nonoptimal escapes at threshold, his ancillary behaviors, and all aspects of the close analogy between human and dolphin performance.” (Smith et. al 1996). This study showed that bottlenose dolphins are capable of metacognition, or evaluating what they know. They performed similarly to humans, only escaping when they physically could not distinguish the sounds or were close to that point, meaning that their metacognition is similar to that of humans and that they adopted a sophisticated strategy. Their conservative use of escapes suggests that they have loss aversion as well, which is another convergent trait. Metacognition requires an intimate sense of self, as well as an ability to mentally travel back in time and use the information gained to make plans for the future. The complex social systems of dolphins, which require them to think about how what others know differs from what they know, likely served as a precedent for this ability.
Cognitive bias

In a study where bottlenose dolphins were given a herring, praise, and eye contact after responding to a positive cue and just praise and eye contact when responding to ambiguous and less positive cues, Clegg et. al found that “Higher frequencies of synchronous swimming in the dolphins’ free-time were associated with more optimistic-like judgements towards the ambiguous cues, and such a relationship persisted up to two months prior to testing days” (Clegg et. al 2017). They came to this conclusion because dolphins that had experienced higher frequencies of synchronous swimming responded to ambiguous cues more quickly. This is an example of a cognitive bias, as the experiences that the dolphins had influenced how they evaluated external circumstances. Individual dolphins sought out social contact to varying extents, showing personality differences, which subsequently caused further behavioral changes reflective of optimistic or pessimistic cognitive states. High frequencies of synchronous swimming more than two months before testing did not result in cognitive bias, which shows that the dolphins’ cognitive states are dynamic and can change with their behavior. This flexibility likely helps wild dolphins change their attitudes about conspecifics as the alliances in their societies shift.
Attention

In a study where a bottlenose dolphin was tasked with using echolocation to detect phantom targets and then report on them, “During the 15-day session, SAY displayed no indication of deteriorating performance [...] SAY produced almost one third as many clicks during the 15-day session compared to her last 5-day session but maintained a very high level of performance. It appears that SAY learned to be more efficient (i.e., detect phantom targets using less clicks) in this task” (Branstetter 2012). SAY was able to dedicate attention to this task for 15 days because dolphins sleep with one hemisphere of their brains at a time, which is a rare ability in the animal kingdom. For this reason, experiments that require subjects to perform tasks for this long without breaks are scarce. SAY was therefore able to excel in an experiment that most animals would not be able to complete. Her ability to stay focused on a singular task for long periods of time is comparable to that of humans, and it likely required self-discipline. SAY likely decided that she would participate in the experiment as long as it went on early on and then abided by that plan. She also developed a more efficient strategy for participating in the experiment in this second session. This implies that she estimated the minimum amount of clicks that she could produce without compromising her performance, which would require her to compare the risk of missing a phantom target with the reward of not having to expend as much energy and find an optimal risk/reward ratio. She would likely have to formulate risk/reward ratios while hunting in the wild as well. For example, wild dolphins that could weigh the risk of having to flee from a shark if they hunted in a particular area against the reward of having more fish to hunt there would have advantage over those that could not and be selected for.
第二十五夜/外貌与性格

外貌
--

进塔之前，夜留着长发，只穿着白色长袍。

在第一部中，夜是一个男孩，有着深棕色的头发（通常称为黑色）和琥珀色/金色的眼睛。他穿着棕色长袖衬衫，红色背心和米色裤子。在王位测试之后，他从昆那里得到了最低等级的选别人员制服和头带。他被黑色三月，宥莉，安德罗西，伽蓝形容为英俊可爱的人。在第二部中，宥莉还把他称为“帅小伙”，只是一个半开玩笑。

在第二部中，夜更高一些了，他长出了长发，刘海遮住了脸的一部分，尤其是他的眼睛。他的新装之一是一件黑色长袍，米色裤子和带有FUG标志的衣服。但是，另一套新西装，即紫色和黑色条纹的衬衫以及黑色裤子，是更正式的礼服。莲梨花形容他英俊/漂亮/美丽。

夜收到刺儿后，它以压缩的形式盘旋在右肩上方。后来他学习了如何使刺消失或变得不可见。工房战事件发生后，他把他的头发像第一部中的给剪短了。

着装
--

在《神之塔》的故事过程中，夜穿过许多不同的服装。

**第一部**

**l 最初的服装：**当他第一次进塔时，他穿着一件白衬衫，一件黑色毛衣，一件红色背心和米色裤子。

**l 选别人员制服：**在王冠比赛结束后，他戴着黑色头带，穿着金衬里的黑色长风衣，佩戴选别人员的标识，黑色裤子和红色鞋子。

**l 战斗服：**在“ 捉迷藏”测试中，夜穿着黑色长外套和宽松的荷叶边高领毛衣，纯色黑色裤子和黑色鞋子。

**第二部**

**l 杀手长袍：**他穿着一件深色的长袍，上面有FUG的标志。他在与FUG的其他人参加29层测试时又穿了这些，但颜色略有变化，上面也没有FUG的标志。

**l 细条纹西服：**经过神水测试后，他穿着紫色和黑色条纹西服，搭配正式的黑色长裤。

**l 品牌服装：**在21楼测试中，他穿着黑色连帽衫，配以橙色线和牛仔裤。

**l 休闲服：**他穿着浅蓝色的和白色的polo衫，搭配棕色长裤。

个性
--

在第一部中，他是一个富有同情心年轻人，对生活几乎一无所知，在与蕾哈尔见面并随后进入塔之前几乎没有与人接触。他讨厌孤独以及其他人的孤独，这种观点在他敦促安德罗西不要孤单，甚至在评论蕾哈尔的故事时体现更加淋漓尽致。他非常的幼稚，对塔的事情一无所知。在第一部分中，他爬塔的唯一原因是想和蕾哈尔在一起。

在第二部分中，威傲来更加暴力。他现在有朋友要保护，如果愿意保护他们，他们会毫不犹豫地战斗。同样，教他所有关于道德方面的事情的人（蕾哈尔）在第一部分中出卖了他，因此他不知道该信任什么。他现在完全理解，要爬上塔，他必须先发制人，并准备战斗并消灭所有反对派。他变得更加内向，很少说话或表现出任何情绪上的迹象。他也很冷酷，善于算计，只在必要时才与他人互动，并且可以利用这种情况击败对手。

为了保护自己免受再次伤害并使自己与他人保持距离，威傲来可能会变得冷漠而疏远，即使测试是针对团体的，也选择以个人形式进行测试。这是为了避免让其他人参与他的所具有高度风险的追求。

他离开二楼后的某个时候加入了FUG，起初被认为他似乎和FUG有着相同的目标：杀死吉黑德及其盟友。后来，据透露他实际上是被柳寒城强迫成为FUG的杀手，如果他逃避或者示弱的话就杀光他曾经的队友。

从第91话开始，他仍然可能对他人保持高度同情心，但他已将自己封闭。但是这并不意味着他的心灵已经改变。淘汰其他选别人员时，他通常会感到内疚，甚至感到沮丧。但是，他似乎也认识到，在当前的测试系统中，“没有任何一种方法可以使每个人都快乐，只能有某人会快乐”。应当指出的是，尽管他表现出冷淡的举止，但他仍然保留着他幼稚的一面，正如他对大海的惊叹所表明的那样。

后来在工房战中，由于FUG对他的控制减弱，他开始变得更具表现力和健谈。当他在监视器上看到王男时，马上就兴奋了起来。当他七年来与昆和雷克首次正式会面时，他开心地微笑着拥抱他们。他为保护自己不受FUG的影响而隐藏起来的原始个性正在重新出现。很快，他的一些同伴就被杀了(普林斯，亚克雷普特)，他通过躲起来并与所有人保持距离来回应内心的歉疚。
Chevrolet Camaro

Obviously the Camaro is a given for Forza, but I want specific versions of it. First, I want the Sunoco Camaro used in the golden age of Trans Am. That is one of the most famous liveries in motorsport history. There was even a Continental Tire Sports Car Challenge Camaro that paid homage to it after the Camaro was revived with a design inspired by the original. I would like that car also. I would also like the 1970 Trans Am Camaro as the car was redesigned for the early seventies. I would also like the IMSA GTO Camaro, created during Trans Am's attempt at adapting to the post oil crisis decline of the muscle car. I would also like the 1993 Camaro as it is my favorite design. I do not want a racing version. I want a sixties Camaro, not a racecar, with the RS package and the SS package.
第一部第2话-1F-海顿的楼层（2）

## 1F-海顿的楼层（2）

**1F-海顿的楼层（2）：**这是神之塔第一部的第2话。在这一话中宥莉和伊文出现，给了夜黑色三月来帮助他通过”球“测试。

概要
--

吉黑德公主夏宥莉·吉黑德听说第一层来了非选别人员，银光侏儒向导伊文·艾德洛克在楼梯处追赶，一名白发男子在追赶一名女子，同时大喊尤里夫人的名字，这表明她是贵族。这名男子问尤里为什么要走到海德的地板上，恳求她回答。尤里回答说，她想看看她被告知的新的不规则。这名男子震惊地发现有一条新的不规则新闻，声称这是改变游戏规则的新闻。尤里说，测试将在几分钟后开始，令该男子沮丧的是，她打算观看测试。这名男子声称这是危险的，但尤里只是告诉他，这会很有趣，不用担心。

他们到达测试区上方的屋顶，发现了海德和巴姆，希望海德没有注意到他们。然而，当她看到巴姆时，她很失望，因为他对她来说并不特别。尤里向那个叫埃文的人征求意见，作为指导。埃文表示，他感觉到来自巴姆的力量不如来自乌雷克的力量，他怀疑自己能否击败白钢鳗鱼。埃文觉得海顿可能对巴姆太严厉了，这让他们认为海顿这样做是为了吓跑巴姆。尤里喜欢巴姆，考虑是否帮助他，因为非正规军总是给塔楼带来混乱。当Baam不顾危险向前冲时，她跳到他面前，尽管Evan告诉她不要这样做。她踢了巴姆的脸，阻止他朝那条钢鳗鱼跑去。

图库
--

角色
--

* 第二十五夜
* ***夏宥莉·吉黑德***
* ***伊文·艾德洛克***
* 海顿
* 白铁甲鳗鱼

## NAVER结语

这是我的出道作品，我会不断学习，继续努力的。
데뷔작인만큼 열심히 배우는 자세로 하겠습니다.
## 相关博客

大家好，我是SIU。

好久没在博客上留言了。

终于在NAVER上传了神之塔的第一话。

其实到预告出来为止也并没有什么感觉，

但是第一话刚出来时，怎么说呢...

感觉心跳加速，有点紧张^^;

希望能有好的反响吧

即便反响不好，也会抱着天道酬勤的想法去做下去。

事实上，在完成第一话之前经历了很多波折。

画完后还修改了三次^^;;

不知道是不是因为现在是职业画手

所以我想让第一话展现地更有条理些。

麻烦负责人了，不好意思，哈哈

在内容方面，其实我想在第一话里展现更多的东西

但我觉得过多的内容并不是很好

故而以最恰当的分量制作了第一话。

顺便说一下，下一话的分量会更多^^;;

“快点上传已经完成的内容吧”

虽然会听到类似这样的埋怨

但为了作品的完成度，除了背景、剧本以外，几乎所有的部分都在重新制作

所以那个好像有点难。

不过比起最佳挑战时期的分量会增加很多，所以不要担心^^;

最后

希望大家不要透露后面发生的故事。

虽然故事情节会有所改动，但整体框架是不会变的

如果剧透性文章频繁出现，可能会对其他读者造成影响。

拜托了^^

## 笔记和琐事

* 夜第一次进塔时在洞穴中看到的发光的眼睛实际上是蕾哈尔的。
* 据SIU介绍，第一层的“壁画”预示了神之塔（系列）的整个故事。

参考
--

1. ↑ SIU的相关博客文章
2. ↑ 第一部第76话-2F-蕾哈尔（2）
3. ↑ 依星野之夏翻译的作者与粉丝的问答及互动
第一部第1话-1F-海顿的楼层（1）

## 1F-海顿的楼层（1）

**1F-海顿的楼层（1）：**这是神之塔第一部的第一话。这是神之塔第一部的第2话。在这一话中夜在追蕾哈尔时与她进塔，之后他遇到了海顿，海顿给了他”球“测试。

概要
--

此话在一个黑暗的神秘洞穴中展开，一个裤子上系着把菜刀的男孩在幽深的隧道中追一个女孩。男孩最终扑倒了女孩，两人大口喘气。女孩说：“我要去塔里，上塔就能看到外面的世界，在塔里可以看见蔚蓝的天空和闪耀的星辰”。她要求那个名叫夜的男孩忘记她，让她重生。一股奇异的光芒出现，将她们的身体包裹起来。地上出现了一道带有山峰和云雾雕刻的门，二人都被吸进门中。

当夜睁开眼睛时，他发现自己在一个布满雕刻的巨大洞穴里，墙上的火把放出微弱的光线。一个那个魔杖，类似兔子的生物出现了。那个生物介绍自己为塔第一层的管理者海顿。然后他询问夜的名字，夜说自己叫“第二十五夜”，那也是他的生日。海顿说这个名字很难叫，决定直接叫他夜（海顿说他的名字听起来很诱惑，是因为在韩语中表示夜的字**밤**还有栗子的意思）。

海顿问夜为什么进塔。夜说他是跟着一个女孩进来的，问海顿有没有看到一个金发女孩路过。海顿没有回答他的问题，只是说答案在上面，一个人想要的一切都在塔更高的地方。但是，要想继续登塔，必须通过每个楼层一系列的测试。

海顿给夜准备的测试是“球“测试——夜必须进到铁窗中躲避一条白铁甲鳗鱼并刺破铁窗里的一个大球。海顿试图以鳗鱼处于产卵期性情暴躁来劝夜放弃测试，但夜没有退缩，坚定地向前冲去。海顿则偷笑起来并说“真心欢迎你进到塔里，夜”。

图库
--

名场面塔的大门蕾哈尔神秘的粉色十字壁画海顿白铁甲鳗鱼黑白版，当时没有白铁甲鳗鱼，取而代之的是一个巨型怪物黑白版

角色
--

* ***第二十五夜***
* ***蕾哈尔***
* ***海顿***
* ***白铁甲鳗鱼***

## NAVER结语

这是我的出道作品，我会不断学习，继续努力的。

데뷔작인만큼 열심히 배우는 자세로 하겠습니다.
## 相关博客

大家好，我是SIU。

好久没在博客上留言了。
终于在NAVER上传了神之塔的第一话。
其实到预告出来为止也并没有什么感觉，
但是第一话刚出来时，怎么说呢...
感觉心跳加速，有点紧张^^;
希望能有好的反响吧
即便反响不好，也会抱着天道酬勤的想法去做下去。

事实上，在完成第一话之前经历了很多波折。
画完后还修改了三次^^;;
不知道是不是因为现在是职业画手
所以我想让第一话展现地更有条理些。
麻烦负责人了，不好意思，哈哈

在内容方面，其实我想在第一话里展现更多的东西
但我觉得过多的内容并不是很好
故而以最恰当的分量制作了第一话。
顺便说一下，下一话的分量会更多^^;;

“快点上传已经完成的内容吧”
虽然会听到类似这样的埋怨
但为了作品的完成度，除了背景、剧本以外，几乎所有的部分都在重新制作
所以那个好像有点难。
不过比起最佳挑战时期的分量会增加很多，所以不要担心^^;

最后
希望大家不要透露后面发生的故事。
虽然故事情节会有所改动，但整体框架是不会变的
如果剧透性文章频繁出现，可能会对其他读者造成影响。
拜托了^^

## 笔记和琐事

* 夜第一次进塔时在洞穴中看到的发光的眼睛实际上是蕾哈尔的。
* 据SIU介绍，第一层的“壁画”预示了神之塔（系列）的整个故事。

参考
--

1. ↑ SIU的相关博客文章
2. ↑ 第一部第76话-2F-蕾哈尔（2）
3. ↑ 依星野之夏翻译的作者与粉丝的问答及互动
第一部预告

预告
--

**预告**（예고편, Yegopyeon） 是网漫《神之塔》宣传即将推出的系列的短片。它没有尾注或博客文章，因为它不是一个实际的章节。

概要
--

”你想要什么？金钱和财富？名誉和自豪？权利和力量？复仇？还是能超越一切的某种东西？无论你想要的是什么——都可以在这找到“

这个章节是对即将发生的事情的预告。依次出现了角色单于娜莱，哈驰，昆·阿圭罗·阿尼亚斯，阿娜克·吉黑德，雷克·莱科雷斯，海顿和夜。还简要说明了每个角色登塔的原因。

图库
--

你想要什么？金钱和财物？名誉和自豪？权利和力量？复仇？还是能超越一切的某种东西？无论你想要的是什么——都可以在这里找到

角色
--

* 单于娜莱
* 哈驰
* 昆·阿圭罗·阿尼亚斯
* 阿娜克·吉黑德
* 雷克·莱科雷斯
* 海顿
* 第二十五夜
第二十五夜

（久·威傲来·格雷斯）

**第二十五夜**，简称**夜**，是非选别人员以及神之塔的主角。夜进塔寻找他原先最好的朋友蕾哈尔，经海顿的考验后，夜被认为是值得登塔的。在被强行收到FUG之后，夜加入了糖醋肉队并设法摆脱了FUG的控制，最终与他的老朋友和队友团聚。由于他与FUG的关系，他的名字也叫**久·威傲来·格雷斯**。在终点站的战斗之后，他决定回归FUG并接受伊凡科尔的训练。当前他正与伙伴以及FUG的杀手和元老前往巢营救夏镇成。

## 笔记和琐事

* 在朝鲜语中，“밤”一词具有两种含义：一种是“夜”，另一种是“栗子”。海顿强调了后者的意思，他开玩笑说：“这个名字蛮诱惑的！”，第二层管理者也告诉夜：“你……看起来很好吃”，他们都将第二十五夜的名字简称为夜。

* 在第2季中，他的别名为久·威傲来·格雷斯。据推测，他可能已经被FUG的领导人格雷斯·米勒奇亚·罗斯勒所采用，但这尚未得到证实。当他在43层遇到伽蓝·吉黑德时，她告诉夜，他的名字来自他的双亲阿琳·格雷斯的 “格雷斯” 和V的 “ Viole” 。

* SIU 在博客文章中指出，名字“ Viole(威傲来)”是紫罗兰的意思。

* 由于其作为杀手候选人的地位，夜拥有FUG的财务支持，这些支持甚至可以令许多高手感到惊讶。夏镇成以不可思议的价格收购罗·波·比亚·伊莱恩就是一个很好的例子，即使对于大家庭的金融家来说也是如此。

* 他本人显然是一位出色的厨师，可以亲自为自己和梨花做饭，而王男甚至称他为超级厨师。他做的最好的菜是奶油意大利面，这恰好是安德罗西在测试之前点的菜。

* 出乎意料的是，夜的衣服全都是夏镇成挑选的。夏镇成每季都会给他送衣服，这使他感到困扰。

* 根据花莲的说法，正是由于夏镇成的帮助，FUG才使夜有了一些自由。

* 经过28层测试后，夜为糖醋肉队购买了垃圾食品。但是，他们必须暗中吃掉，否则高生会因为这些食品不健康而没收它们。结果，夜已成为受到美生和普林斯喜爱的“黑市”供应商。

* 他是非常敏捷的，但被教导要更多地使用右手。

* SIU表示他和蕾哈尔都知道关于塔外面的许多秘密。

* 他是由阿琳和V所生，被吉黑德所杀，但他后来被“ 塔外的神 ”复活。这是伽蓝·吉黑德在43层以阿琳的锦囊作为证据向夜所揭示的，这一事实后来被十大族长之一波·维多·古斯特昂证实。

* 在夜的三人组中，当使用神水反应器时，只显示出他的神水形态。而反应器显示了其他人的神水性质和形态。

* 他通常不吃任何咸的东西，也不能吃像生鱼片的生食。他喜欢吃韩国熟食和东方美食。

* 他最初的性格概念是一个不是一般执着于蕾哈尔的男孩。

* 由于神之塔基于少年漫风格的漫画，因此它将成为夜内心和外表成长的焦点。夜会在爬塔时提升他的力量并进一步前进。那就是少年漫的主要吸引力。但与少年漫有所不同的是，夜并没有将自己的“正义”和“友谊”推向他人。他的力量没有被用于做这类事情。

* SIU表示夜对咒术有很强的抵抗力。这其中有什么秘密，我们以后会发现。

* 夜讨厌带有柳寒城（柳是男的）性格的女人。

* 监护人之神说夜与年轻时的吉黑德相似，因为他指出夜获得力量的信念与吉黑德对力量的渴望相似。但是监护人之神透露，尽管他们俩都在寻求使人们快乐的力量，但夜与吉黑德的不同之处在于，他只希望可以与朋友们在一起的力量，而吉黑德则希望高于他人的力量。

* SIU甚至开玩笑说他年轻时与吉黑德的相似之处，并指出夜和小吉黑德如何相处得很好，但现在他们的关系是不好甚至敌对的。

* 目前，夜是现在的人中唯一能够与高手战斗并赢得胜利的选别人员，并且是历史上实现这一壮举的仅有的两名之一，另一位是阿道里·吉黑德。而且夜是以C级选别人员的身份击败的高手，而阿道里是以A级选别人员的身份击败的。他在巢第二道墙竞技场中重创了排名塔内前100名的顶级高手白神。(漫画里说排除非选别人员后只有阿道里可以做到击败高手)

* 由于夜正式击败了测试高手潘，他现在受到了高手的普遍敌意，高手们对夜的举动使得高手掉价这件事感到愤怒。
单于娜莱

**单于娜莱**（선우 나래, Seonwoo Nahrae）是一名为了财富而爬塔的选别人员。她通过了第二层的所有测试，并获得了搜索者位置。她与洪天火走得很近，称他为“骑士”。

## 外观和个性

她的表情相当幼稚。她有一头金色的短发，眼睛也是黄色的。她具有相对幼稚和贪婪的性格。她是相当诡秘的，因为她能够保守她控制神海鱼能力的秘密，但她向搜索者位置的讲师坤特展示了自己的能力，以获取加分。

#### **图片库**

展开/折叠图库

第一部预告中的单于娜莱单于娜莱和洪天火

## 力量和能力

单于娜莱的特殊位置是操控使，她拥有控制神海鱼的稀有能力，尽管神海鱼无法战斗，但可以用声纳搜索周围地区，这对像她这样的搜索者来说非常有利。神海鱼存储在一个装满了神水的锅中，她总是像背包一样随身携带着这口锅。

## 笔记和琐事

* 第一部的预告意味着单于娜莱爬塔是为了金钱和财富。
* 她显然仍在和洪天火一起爬塔。
Toyota Supra

The Supra is legendary in motorsport. It hasn't been seen in Forza in years due to rights conflicts. Due to the successful return of the Supra, it is time for its return to Forza. I want the classic from the 80s to 90s and the modern from the WeatherTech Series. I like the original due to it being my first Gran Turismo car and its retro style. I don't want drifting in the game, though.
Ford Mustang

The Mustang is a given. I want quite a few versions of the Mustang. I want the 1966 Trans Am Mustang. I want the Boss 302 Trans Am Mustang, named after the maximum displacement for the series. I want the IMSA GTO Mustang. I want the Michelin Pilot Challenge IMSA GTO tribute Mustang that was created for IMSA's 50th anniversary. For interest, I want the Corvette-like Mustang dream car. I want the Mustang Fastback from the sixties because I find it sporty. I also want the Mustang IMSA GT Prototype.
Molly Kaolo

**Molly Kaolo** was a Nuxoian supercentenarian who was the oldest living Nuxoian.

## Molly Kaolo

### Birth

23 Aug 1902Onu, Unoi Empire (Present-day Ravioxi)

## Biography

She was born in 1902 to unknown parents. Her life is very unknown, but she had three sons. She was in decent condition for her age, and she liked chocolate.

She died of pneumonia at 111 years, 141 days.

 Paula Saloza
Ina Rani
Anna Wastari
Erik Blana
Clara Zonako
Ken Zolia
Mary Ganoi
Delina Crilk
Swei Skape
Ellie Red
Meli Vera
Dixie Reali
Ramona Aus-OaI
Fannie Hoxlo
Maria Malio
**Molly Kaolo**
Anna Korihusti
Ally Mokili
Esoli Mailoi
Liza Olage
Oldest living nuxoians

This is a list of the oldest living nuxoians

## Oldest living nuxoians (109+)

Liza Olage (born 8 Aug 1907) VE

Millie Reao (born 29 Sep 1909) ONVE

Anton Vellimo (born in Denmark) (born 1 Feb 1911) UV

Lili Rosil (born 21 Sep 1911) ONVE

Wino Mare (born 20 Oct 1911) ONVE

Izra Kota (born 23 Mar 1912) UV

Rose Maumilo (born 16 Jul 1912)

Charles Noa (born in USA) (born 2 Nov 1912)

Erminia Lanoz (born in Italy) (born 6 Nov 1912)

Lena Inoka (born 1 Dec 1912)

Mazi Melo (born 11 Jan 1913)

Sam Era (born 12 Feb 1913)

Emma Inotti (born 28 Apr 1913)

## Oldest living Nuxoian men (107+)

Izra Kota (born 23 Mar 1912) ONVE

Charles Noa (born in USA) (born 2 Nov 1912)

Mazi Melo (born in Germany) (born 11 Jan 1913)

Sam Era (born 12 Feb 1913)

Anonymous (born 29 Sep 1914)

Enzo Ulopa (born 30 Sep 1914)

Adam Issa (born in Poland) (born 28 Dec 1914)

Jan Ogeste (born 4 Feb 1915)
Nuxoian longevity claims/myths

This is a list of longevity claims and myths in Nuxo. If there are any other myths, please add them.

### Things

UV = unvalidated

DA = Disputed and found as an age

PA = pending with a different age

## Nuxoian myths (130+)

Asumi Razto (born in Japan) (12 Jan 1887-Present) UV

Lucy Hazan (21 Dec 1888-Present) UV

Mun Mahi (22 Dec 1867-24 Sep 1998) DA found to be born in 1888, although still being the oldest living nuxoian

### Bible Myths

Haro Smika (1455 BC-151 BC)

Fuoli Moka (1533 BC-233 BC)

Mareoki (1391 BC-233 BC)

Hazare (1481 BC- 481 BC)

Binlamo (1477 BC-497 BC)

Sasolima (1530 BC-551 BC)

Kakoli (1434 BC-534 BC)

Sako Malo (1441 BC-556 BC)

Moliz (1422 BC-655 BC)

## Nuxoian claims (115-129)

Lime Dami (11 Jan 1893-23 Sep 2020) UV

Ema Ora (12 Dec 1877-15 Sep 2003) UV, but probably 109 instead of 125

Lena Allino (11 Nov 1884-14 Aug 2008) UV

Olivia Monmi (13 Oct 1892-9 Jul 2014) DA: was 111, but unverified.

Unknown (14 Aug 1900-20 Jan 2020) UV

N.S (17 Jul 1899-Present) UV

Rod Glum (11 Oct 1881-2000) UV, but thought to be anywhere between 98-111

Fransisca Olivera Felo (born in portugal or brazil) (1771-1888) UV, of course

Noeme Romako (21 Sep 1905-Present) UV

Clara Cholli (28 Sep 1905-Present) UV

Terase Minase (12 Jan 1899-14 Sep 2014) UV
Anna Wastari

**Anna Wastari** was a Nuxoian centenarian who was the oldest living person in Nuxo, the last nuxoian born in the 1870's, and the oldest Nuxoian ever.

## Biography

Anna Wastari was born in 1879 to unknown parents. She became the oldest person in Nuxo in 1985 after the death of Ina Rani (born 1878) and the oldest ever person in Nuxo after surpassing the age of Paula Saloza (1872-1981) after getting to the age of 108 years, 298 days. She became the last nuxoian born in the 1870's after the 1985 death of Tora Era (1879-1985) who died at 105 years, 345 days just three days after the death of Ina Rani.

Anna Wastari died of natural causes at the age of 109 years, 313 days.

 Paula Saloza
Ina Rani
**Anna Wastari**
Erik Blana
Clara Zonako
Ken Zolia
Mary Ganoi
Delina Crilk
Swei Skape
Ellie Red
Meli Vera
Dixie Reali
Ramona Aus-OaI
Fannie Hoxlo
Maria Malio
Molly Kaolo
Anna Korihusti
Ally Mokili
Esoli Mailoi
Liza Olage
Swei Skape

**Swei Skape** was a Nuxoian supercentenarian and founder of Kaumi Hotel.

## Biography

She was born in 1890 to an unknown mother and Donald Skape (1855-1928)

She married Antonio Soli-Rumo (1886-1969) in 1918 and founded Kaumi Hotel in 1927. She had two kids (Antonio II (1914-1997) and Alex (1923-2005). She is the great-grandmother of rapper Knifa.

She was reported to have still worked at her hotel by 1989, and was in good condition until age 111, when she had a fall and died after it.

 Paula Saloza
Ina Rani
Anna Wastari
Erik Blana
Clara Zonako
Ken Zolia
Mary Ganoi
Delina Crilk
**Swei Skape**
Ellie Red
Meli Vera
Dixie Reali
Ramona Aus-OaI
Fannie Hoxlo
Maria Malio
Molly Kaolo
Anna Korihusti
Ally Mokili
Esoli Mailoi
Liza Olage
Esoli Mailoi

**Esoli Mailoi** was a Italian-Nuxoian supercentenarian who is the third oldest person to die in Nuxo.

## Biography

She was born in 1906 to Carolina Mailoi (nee Merino) (1880-1966) and Carmelo Mailoi (1878-1975) who lived to 97.

### Mid-Life

In 1927, she moved to Cadelli, Ravioxi, Nuxo, where she lived her entire adult life) In 1930, she married Cesar Mesoli, another Italian immigrant. (1905-2000) and had three kids (1 living), 12 grandkids (10 living), 11 great-grandkids, 8 great-great grandkids, and 3 great-great-great grandkids (born after her death).

### Later Life

By 108, she was in decent shape, still reading and walking without assistance, by 110, she was in the same condition but by 112 her health had rapidly deteriorated, and became bedridden by 113. She died of natural causes at 113 years, 128 days as the second oldest Nuxoian (now third) and was surpassed in both of those titles by Liza Olage, who is currently the oldest Nuxoian ever and oldest living Nuxoian.

## Gallery

Mailoi at the age of 112Mailoi at the age of 113
## References

Birth Certificate from 1906 (retrieved 11 Jan 2014)

Italian immigrant Esoli Mailoi turns 110 (NuXoians.org) (13 Dec 1906)

Esoli turns 111 (NuXoians.org) (11 Dec 2017)

Esoli is 113 (includes pictures) (NuXoians.org) (11 Dec 2019)

Obituary (Nuxobitaries.com) (23 Mar 2020)

 Paula Saloza
Ina Rani
Anna Wastari
Erik Blana
Clara Zonako
Ken Zolia
Mary Ganoi
Delina Crilk
Swei Skape
Ellie Red
Meli Vera
Dixie Reali
Ramona Aus-OaI
Fannie Hoxlo
Maria Malio
Molly Kaolo
Anna Korihusti
Ally Mokili
**Esoli Mailoi**
Liza Olage
Oldest nuxoians by city of death

This is a list of oldest nuxoians by city of death.

## List

### Ravioxi

Esoli Mailoi (born in Italy) (11 Dec 1906-20 Mar 2020) ONVE

Maria Malio (born in Brazil) (4 Nov 1900-12 Jun 2013) UV

### Nubixo

Ally Mokili (7 Sep 1905-11 May 2019) VE

Larry Moji (5 Feb 1903-9 Dec 2013) ONVE

### Zoka

Delina Crilk (21 Oct 1889-19 Jun 2001) VE

### Se Suois

Millie Reao (29 Sep 1909-Present) ONVE

Fannie Hoxlo (20 Oct 1900-22 Oct 2012) VE

Anton Vellimo (born in Denmark) (1 Feb 1911-Present) UV

### Reminoxi

Molly Kaolo (23 Aug 1902-11 Jan 2014) ONVE

Meli Vera (13 Feb 1895-16 Dec 2005) ONVE

Sarah Klaminu (born in Spain) (11 Jan 1906-23 Apr 2016) ONVE

### Exoni

Anna Korihusti (born in Russia) (9 Dec 1903-12 Aug 2014) UV

Lili Rosil (21 Sep 1911-Present) ONVE
Fannie Hoxlo

Her at 111

**Fannie Hoxlo** was a Nuxoian supercentenarian who was at one time, the oldest Nuxoian ever .

## Biography

She was born in 1900 to Hattie Hoxlo (1875-1975) (nee Nako) and Benito Hoxlo, an cuban immigrant who was from (1874-1965)

### Life

She married Brazi Nemi but had no kids, she adopted one in 1934 though and currently has that kid living, two grandsons, four great-grandkids, nine great-great grandkids and two great-great grandkids. She was a farmer and did farming until her husbands death in 1987 when he was 84.

### Later Life

She was in decent condition up to her death, but had total organ failure at her death. She was the first nuxoian to get to 112, although barely and last nuxoian to get the title under 109.

## References

Gerontology Research Group (GRG)

111 Year old Fannie Hoxlo is now oldest nuxoian ever. (GeroNuxo.com)

Fannie Hoxlo dies 2 days after 112 (GeroNuxo.com)

 Paula Saloza
Ina Rani
Anna Wastari
Erik Blana
Clara Zonako
Ken Zolia
Mary Ganoi
Delina Crilk
Swei Skape
Ellie Red
Meli Vera
Dixie Reali
Ramona Aus-OaI
**Fannie Hoxlo**
Maria Malio
Molly Kaolo
Anna Korihusti
Ally Mokili
Esoli Mailoi
Liza Olage
OneGoal

OneGoal is a Life simulator game where there is ONE GOAL. To become a Supercentenarian. And also, if you live to 110, I will put you on the List of oldest Nuxoians (and the WSRL if validated.) (only for years 1850-1911.

## Customization

* Make your birth year! Choose any year from 1850-1914.
* Start off with any country! Pick a country out of 50 countries NOT INCLUDING ISLANDS.
* Pick your name! Make your Person's name!
* You can live from age 22 to 125. (you can not pick this)

## Rules

* ONE YEAR A DAY. You live 1 year each real-life day.
* DO NOT BE BORN IN TURKEY. You will have a 0.1 chance to become an SC from there

## Chances for becoming an SC (by country)

* Nuxo - 69.4%

* USA - 56.1%
* Italy - 49.6%
* France - 48.1%
* Japan - 48.0%
* Spain - 46.5%
* Brazil - 43.9%
* Australia - 40.3%
* Sweden - 39.8%
* Canada - 35.8%
* Holland - 35.4%
* Germany - 35.3%
* Austria - 33.2%
* UK - 31.9%
* Chile - 30.7%
* Every other European country - 27.3%
* India - 27.1%
* Every other Asian country - 26.9%
* Barbados - 24.7%
* All other countries - 0.1%-24.5%

## Example of customization

Name: Maria Carmen Ocoli

Country: Spain

Birth YMD: 4/29/1901

Validation chance: 58.1% (different by country)

## Other facts

* You will be "born" at age 21, when you are an adult
* This game is like BitLife, look at the games wiki for more about this game.
Celestials/Tier 0

Celestial Tier 0 is the first tier of Celestials can get. By entering a Wormhole at level 60#, you will be automatically set as a Nova-Celestial and set as level 75#.

Upgrades of them can be chosen at Level 75 (Celestial Tier 1).

### Weapons

The Nova is a simple pink triangle with no weapons. Omitting the appearance, it is a exactly same with Node.

### Bodies

Celestial is a body upgrade without extra gadgets attached. It is completely same with its counterpart, Nova but does not overlap.

#Note that players can also enter wormholes at level 60+, however their level would be different depending on their level as a regular tank.
Oldest nuxoian men (108+)

This is a list of the oldest nuxoian men who are over 108.

## Oldest men

Larry Moji (5 Feb 1903-9 Dec 2013) ONVE

Anton Vellimo (born in Denmark) (1 Feb 1911-Present) UV

Lawrence Moiks (9 Sep 1905-9 Jan 2015) N1

Bob Maixo (1 Oct 1909-21 Jan 2019) N1

Izra Kota (23 Mar 1912-Present) ONVE

Bob Piso (born in Italy) (25 Mar 1912-6 Nov 2021) N1

Gustav Maotai (26 Mar 1910-9 Oct 2019) N1

Charles Noa (born in USA) (2 Nov 1912-Present) N1

Carmelo Hatrel (12 Dec 1907-14 Dec 2016) N1

Stanislaw Rizo (born in Poland) (1 Aug 1900-2 Jun 2009) N1

Izra Motus (2 Aug 1901-1 Apr 2010) N1

Mazi Melo (born in Germany) (11 Jan 1913-Present) N1

Sam Era (12 Feb 1913-Present) N1

Anonymous (11 Jan 1911-16 Jul 2019) N1
Fleet

The Fleet is a Woomy Tank. It is an Artillery with 4 unique turrets.

The ship crew

## Design

The Fleet has a circular body. On the front it has a Flank/Duo turret. On the 90 degree side is a Gunner turret. On the back is a unique Trio turret, which looks like the Trio but the side cannons are curved inwards. Finally, on the 270 degree side is an Octo turret, well, this is technically a Hex, but that was removed, so.

## Technical

The Fleet slowly spins, and can have 2 turrets on a target at once.

## Strategy

Since the Fleet is so overloaded, you will need about 2 Shrapnels or Horizons, due to high firepower.

## Strategy

* Code: 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
* AI Function: due to not having any barrels, the Fleet spins faster and tries to ram opponents.
Oldest living nuxoians (by year)

Starting in 2012, we have the people 110+ every year. for the start and end of the year.

## 2012

### 1 Jan 2012

Fannie Hoxlo (20 Oct 1900-22 Oct 2012)

Maria Malio (4 Nov 1900-12 Jun 2013)

### 30 Nov 2012

Maria Malio (4 Nov 1900-12 Jun 2013)

Molly Kaolo (23 Aug 1902-11 Jan 2014)

## 2013

### 9 Dec 2013

Molly Kaolo (23 Aug 1902-11 Jan 2014)

Anna Korihusti (9 Dec 1903-12 Aug 2014)

## 2016

### 12 Jan 2016

Ally Mokili (7 Sep 1905-11 May 2019)

Sarah Klaminu (11 Jan 1906-23 Apr 2016)

### 13 Dec 2016

Ally Mokili (7 Sep 1905-11 May 2019)

Esoli Mailoi (11 Dec 1906-20 Mar 2020)

## 2017

Ally Mokili (7 Sep 1905-11 May 2019)

Esoli Mailoi (11 Dec 1906-20 Mar 2020)

Jan Hiuki (14 Jan 1907-11 Mar 2019)

Liza Olage (born 8 Aug 1907)

## 2019

### 21 Dec 2019

Esoli Mailoi (11 Dec 1906-20 Mar 2020)

Liza Olage (born 8 Aug 1907)

Millie Reao (born 29 Sep 1909)

## 2020

### 19 Jan 2020

Esoli Mailoi (11 Dec 1906-20 Mar 2020)

Liza Olage (born 8 Aug 1907)

Millie Reao (born 29 Sep 1909)

### 1 Dec 2020

Liza Olage (born 8 Aug 1907)

Millie Reao (born 29 Sep 1909)

## 2021

### 20 Oct 2021

Liza Olage (born 8 Aug 1907)

Millie Reao (born 29 Sep 1909)

Anton Vellimo (born 1 Feb 1911)

Lili Rosil (born 21 Sep 1911)

Wino Mare (born 20 Oct 1911)
Millie Reao

**Mildred "Millie" Reao** is a Nuxoian supercentenarian who is the second-oldest living nuxoian, after Liza Olage.

## Biography

She was born to a family of farmers in 1909. She had six sisters, which only one lived 95+ and 100+, eventually becoming 102 years, 21 days.

### Life

She married Alex Reao in 1939, having three children with him. She was a farmer who owned a big farm inherited by her parents.

### Later Life

She was in decent condition by 110, and on her 112th birthday, her health was "exactly the same as at 110".

Reao currently lives in Marite, Se Suois, Nuxo at the age of 112 years+
WSRL - Oldest Nuxoians

Here is OUR WSRL, an alternative to List of oldest Nuxoians (110+).

## Validated living supercentenarians

Liza Olage (born 8 Aug 1907) VD: 12/12/17

Millie Reao (born 29 Sep 1909) VD: 12/3/19

Lili Rosil (born 21 Sep 1911) VD: 10/3/21

Wino Mare (born 20 Oct 1911) VD: 10/23/21

## Validated deceased supercentenarians

Ally Mokili (7 Sep 1905-11 May 2019) VD: 10/7/15

Esoli Mailoi (11 Dec 1906-20 Mar 2020) VD: 11/6/17 (born in Italy)

Maria Malio (3 Nov 1900-12 Jun 2013) PENDING (born in Brazil)

Jan Hiuki (13 Jan 1907-11 Mar 2019) VD: 12/14/17

Fannie Hoxlo (20 Oct 1900-22 Oct 2012) VD: 12/21/10

Delina Crilk (21 Oct 1889-19 Jun 2001) VD: 1/4/00

Molly Kaolo (23 Aug 1902-11 Jan 2014) VD: 1/12/13

Swei Skape (13 Dec 1890-19 Feb 2002) VD: 12/29/00

Meli Vera (13 Feb 1895-16 Dec 2005) VD: 11/6/05

Larry Moji (5 Feb 1903-9 Dec 2013) VD: 10/6/13

Sarah Klaminu (11 Jan 1906-23 Apr 2016) VD: 1/2/17 (born in Spain)

## Documented unvalidated supercentenarians

Anna Korihusti (9 Dec 1903-12 Aug 2014) (born in Russia)

## Table O - Oldest living since 1983

Lina Dreno (1876-1983) ?-106. 106 years, 301 days

Ina Rani (1878-1985) 104-107. 107 years, 63 days

Anna Wastari (1879-1989) 106-109. 109 years, 313 days

Erik Blana (1884-1990) 104-105. 105 years, 300 days

Clara Zonako (1886-1993) 104-107. 107 years, 249 days

Ken Zolia (1888-1996) 105-108. 108 years, 51 days

Mary Ganoi (1888-1997) 107-108. 108 years, 251 days

Delina Crilk (21 Oct 1889-19 Jun 2001) 108-111. 111 years, 268 days

Swei Skape (13 Dec 1890-19 Feb 2002) 110-111. 111 years, 95 days

Ellie Red (23 Jan 1894-12 Dec 2002) 108. 108 years, 311 days

Meli Vera (13 Feb 1895-16 Dec 2005) 107-110. 110 years, 303 days

Dixie Reali (3 Jan 1898-11 Oct 2007) 107-109. 109 years, 281 days

Ramona Aus-Oai (4 Jan 1899-2 Jan 2009) 108-109. 109 years, 363 days

Fannie Hoxlo (20 Oct 1900-22 Oct 2012) 108-112. 112 years, 2 days

Maria Malio (4 Nov 1900-12 Jun 2013) 111-112. 112 years, 249 days

Molly Kaolo (23 Aug 1902-11 Jan 2014) 110-111. 111 years, 141 days

Nora Olati (28 Aug 1905-14 Mar 2015) 108-109. 109 years, 198 days

Ally Mokili (7 Sep 1905-11 May 2019) 108-113. 113 years, 274 days

Esoli Mailoi (11 Dec 1906-20 Mar 2020) 112-113. 113 years, 128 days

Liza Olage (born 8 Aug 1907) 112-114. 114 years+

### Possible WON titleholders

Stan Mith (1897-fl. 2010) 108-113.

Fern Char (1 Dec 1901-17 Feb 2015?) 111-113. 113 years, 98? days

Every living nuxoian longevity claim (189/190?) 11?/12? years, ? days?

## Table OM - Oldest men since 2009

Stanislaw Rizo (1 Aug 1900-2 Jun 2009) ?-108

John Yura (14 Dec 1902-11 Aug 2010) 105-107

Larry Moji (5 Feb 1903-9 Dec 2013) 107-110

Lawrence Moiks (9 Sep 1905-9 Jan 2015) 108-109

Carmelo Hatrel (12 Dec 1907-14 Dec 2016) 107-109

Bob Maixo (1 Oct 1909-21 Jan 2019) 107-109

Gustav Maotai (26 Mar 1910-9 Oct 2019) 108-109

Izra Kota (born 23 Mar 1912) 107-109
Meli Vera

**Meli Vera** was a Nuxoian supercentenarian who was the oldest living nuxoian at one time.

## Biography

She was born in 1895 to Ora Vera and an unknown father. She never married but adopted one child named Sulo. At the time of her death, she had one kid (Sulo), 2 grandkids, and one great-grandkid.

## Meli Vera

### Status

deceased-ONverified

She was thought to be in pretty bad condition on her 110th birthday, but said "I will try.." when her great-grandkid asked will you live to 111. She died of pneumonia at a hospital in nuxo.

 Paula Saloza
Ina Rani
Anna Wastari
Erik Blana
Clara Zonako
Ken Zolia
Mary Ganoi
Delina Crilk
Swei Skape
Ellie Red
**Meli Vera**
Dixie Reali
Ramona Aus-OaI
Fannie Hoxlo
Maria Malio
Molly Kaolo
Anna Korihusti
Ally Mokili
Esoli Mailoi
Liza Olage
Oldest nuxoian siblings

Here is a list of the oldest siblings in nuxo. \* means half siblings and \*\* means siblings in law

## List of 2 siblings (213+ years)

1: Delina Crilk (21 Oct 1889-19 Jun 2001)

Wino Mare (20 Oct 1911-Present)\*

2: Miga Tamalo (nee Rosil) (12 Dec 1908-6 Aug 2018)

Lili Rosil (21 Sep 1911-Present)

3: Ally Mokili (7 Sep 1905-11 May 2019)

Sea Meximo (29 Dec 1915-Present)\*\*

4: Tinzo Olikil (6 Oct 1913-Present)

Soun Olikil (9 Jan 1915-14 Feb 2021)

### Incomplete Cases

Puz Pakon (8 Dec 1911-19 Jan 2020)

Unidentified (1917-2020)

## 3 siblings (319+)

1: Miga Tamalo (12 Dec 1908-6 Aug 2018)

Lili Rosil (21 Sep 1911-Present)

Emma Natsu-Rosil (16 Dec 1919-Present)\*

2: Delina Crilk (21 Oct 1889-19 Jun 2001)

Wino Mare (20 Oct 1911-Present)\*

Una Mare (16 Dec 1920-16 Nov 2020)\*
Oldest NuxoNew war veterans

The war happened from 1927 to 1936. This is a list of the people who got to 2018 from the war. The Nuxo veterans, or the new city war vets will be here.

## Nuxo veterans (7 people)

Wino Mare (20 Oct 1911-Present.) Joined in 1930 and stayed until 1936 (end of war) Oldest living female veteran and oldest overall.

Izra Kota (23 Mar 1912-Present.) Joined in 1932 and stayed until 1934. Oldest living combat veteran.

Gustav Maotai (26 Mar 1910-9 Oct 2019.) Joined in 1929 and stayed until 1931. Second to last combat veteran.

Sam Era (12 Feb 1913-Present.) Joined in 1933 and stayed until the end. Last miner.

Rasso Minoli (13 Oct 1910-11 Dec 2018.) Joined in 1928 and stayed until 1932. Last Italian Ally.

Tesa De Faunti (14 Dec 1910-1 Aug 2018.) Joined in 1930 and stayed until 1933. Last Spanish Ally.

Max Maun (1 Dec 1911-11 Jul 2019.) Joined in 1931 and stayed until 1934. Third to last combat veteran.

## New City veterans (2 people)

Enzo Koli (13 Oct 1912-Present.) Last veteran overall.

Reza Minuki (14 Dec 1912-11 Jan 2020.) Last combat veteran.
Ally Mokili

**Ally Mokili-Meximo** was a Nuxoian supercentenarian who was the oldest nuxoian ever until Liza Olage surpassed her age in 2021. She is also the last person born in the Unoi Empire, which was in Nuxo from 18 Jan 1901 to 1 Dec 1905.

### Birth

7 Sep 1905Nomi, Unoi Empire (Present-day Nubixo, Nuxo)

## Biography

She was born in 1905 and was the seventh of twelve children (one of those is living at 104).

### Other Life

in 1926, she married Ben Meximo (1905-1988) who died at 83. She was a farmer until 83, when her husband died. She had 11 kids (3 living), 14 grandkids (12 living), 15 great-grandkids (14 living) and 6 great-great grandkids. her oldest living kid is 96 (as of Oct 2021) and was also a farmer.

### Longevity records

She was the first nuxoian to get to 113, and the third GRG-verified from Nuxo (Liza Olage was the forth). She is also the third-oldest person from the Korsiki Region, behind Enako Minumi and Liza Olage.

## References

Birth certificate (1905)

Mokili becomes oldest nuxoian (GeroNuxo.com)

Ally mokili dies at 113 (GeroNuxo.com)
Delina Crilk

**Delina Crilk** was a Nuxoian supercentenarian who was the first person to get to 110, and 111 in nuxo.

## Biography

She was born in 1889 and was the 1st kid out of 7. Her half sister, Wino Mare (nee Crilk), became a supercentenarian on the 20 Oct 2021.

### Mid-Life

She married Bob Mixo (1887-1923) who died in 1923. She had one son, two grandkids, nine great-grandkids, 17 great-great grandkids, and 5 great-great-great grandkids. She was a owner of a hat store, which the oldest nuxoian ever, Liza Olage used to shop at in the 1930's.

### Later Life

By 110, she was frail, but could still talk and walk and says "the frailest ones live longer, like me." At her death, she could not walk, talk and died of natural causes at 111 years, 268 days.

## Delina Crilk

### Birth

21 Oct 1889Ravioxi, Nuxoa Empire (Present-day Nuxo)

### Status

Deceased-Validated

 Paula Saloza
Ina Rani
Anna Wastari
Erik Blana
Clara Zonako
Ken Zolia
Mary Ganoi
**Delina Crilk**
Swei Skape
Ellie Red
Meli Vera
Dixie Reali
Ramona Aus-OaI
Fannie Hoxlo
Maria Malio
Molly Kaolo
Anna Korihusti
Ally Mokili
Esoli Mailoi
Liza Olage
Abyss Overseer (Fanon)

## Abyss Overseer

literally god in a scenexe tank

The Abyss Overseer is a dangerous radiant tank, that is equipped with the strongest weapons. Not even the Abyss Guardian can defeat it, as it is a wimp compared to the Abyss Overseer.

Note the tank is radiant.

The Tank consists of:

* 10 Trap Launchers, capable of killing anyone who touches the traps.
* 10 Rocket Launchers, with auto-cannons mounted on the rockets.
* 6 Auto Cannnons
* 8 Minion Spawners that spawn weaker Tier 3 Peacekeepers
* 6 Drone Barrels
* 5 Laser Cannons, that no one can dodge.

It cannot be rammed into either. (If you did manage somehow, it would kill you instead by the body damage it has)

## Spawning Conditions

It will spawn as a AI if too many bots are detected, if there are >10 celestials, or with 1/50000 chance to spawn when a wormhole spawns.

A player can also become one if:

* They have killed 10 Celestials, 20 Peacekeepers and 500 Radiant shapes, then descending into the abyss.
* Spawning as one, has a 1 in 60 octillion chance. (60,000,000,000,000,000,000,000,000,000)

## Strategy

No way to kill this. Hackers may kill it, but then even hackers may die if their cheats are just below anti-cheat detection.

## Tank Code

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
Black Polygons

Its some fanon polygon

black polygons was known this are utra rare ( 1/5980 )

Radiant = 1/16,384 to 1/17,000

Shiny ( Unused ) = 1/44,867 to 1/50,000

Tiny ( Unused ) = 1/35,751 to 1/60,000 - instant if 13 and more players in server.

#### Rare Polygons

Gleaming = 1/125,000 to 1/200,000 instant if 13 and more players in server.

Legendary ( Unused ) = 1/250,000 to 1/300,000 if 20 and more players in server legendary black polygon spawn about 1/450,000

Gold ( Unused ) = 1/777,777 to 1/800,00 if 25 and more players in server was spawning about 1/8192 chance

Lustrious ( Tier 1 ) = 1/2,894,553 to 1/3,000,000

Lustrious ( Tier 2 ) = 1/38,111,204 to 1/39,000,000

Highly Radiant = 1/100,000,000 to 1/250,0000,000 chance

Light ( Unused ) = 1/340,000,512 chance

Ultra Radiant ( Unused ) = 1/1.93B to 1/2B chance

Mega Radiant ( Unused ) = 1/66.8B to 1/70B chance

#### Godly polygons ( Unused )

Radiant ( Tier 15 ) = 1/204.8B chance

Radiant ( Tier 40 ) = 1/899,124,893QA chance

Radiant ( Tier 75 ) = 1/15,667TDC chance

Radiant ( Tier 100 ) = 1/1.8873618724e+84 chance

### Mechanic

Very Interminable for level 1-60 tanks but one.

Interminable for 3 level 45 tanks.

Strong for 5 level 50-65 tanks.

Too Same for 6-10 level 70 tanks.

Mild for 11+ Level 60 tanks.

Weak for 30 celestials.

Very Weak for 25 celestials and 20 level 65 tanks.

Breakable for Arena Closer or 100+ level 45 tanks.
Canvas

You will see all known canvases of the game in this page. (WIP)

## What is a Canvas?

a Canvas is the background of a menu for game modes. They only appear in the main menu and when teleporting to a dimension. Note that, in the case of the latter, the Canvas is of the dimension you are going to.

FFA canvasCrossroads canvasSanctuary canvasScenexe.io old canvas before 0.9.8.Scenexe.io canvas before 0.5.3