Adrenal Surge Explained (Simian Flu)
- Written by Seb
- Research conducted since August 1, 2024 and finally completed on August 25, 2024.
- Note: This document concluded with analysis of 4 videos in different countries with this gene as well as analysis of some events with Gen-Sys and Ape Rampage.
Introduction
Adrenal Surge is somewhat unique in that during a certain period of time the intelligent ape population will begin to die out, this changes the gameplay a bit, the only potential benefit this gene receives is that it increases the strength of the apes.
Ape Strength
One thing I noticed in my games is that every time I used Ape Rampage, the attacks were much stronger making the Gen-Sys labs relatively easy to destroy. Although each time he used this active ability in conjunction with certain traits that increased the apes‘ strength, humans became increasingly concerned about apes’ attacks.
Although one of the reasons why anyone would want to use this gene in the first place is to increase the strength of apes in general, beware that humans will become much more aggressive every time Ape Rampage is used, making it much more likely that they will try to eliminate apes earlier.
Ape Corpses
One important thing to remember about Gen-Sys is that if they have enough dead ape bodies, there is a possibility that some scientists could use them to try to find a cure.
Observations
It should be noted that by using this gene the player is practically putting a timer on what they can do with the apes where in a single game the gene can annihilate more than 99% of the living apes.
Case of Study A: New Guinea
The first case study is New Guinea, an island in the Asia Pacific Region, the country has a total of 92 apes. Over the course of a year, about 39% of the island's apes had died. One important thing to mention is that the government of the country did not take any measures to hunt down the ape population. In addition, the only evolved ability was Simian Neuro-genesis. Each passing month about 2%-5% of the apes died on the island because of the gene.
Note: We take into account the data during the first days of the month for the table.
Month | Alive | Dead | % of Deaths |
---|---|---|---|
October 2024 | 92 | 0 | 0% |
November 2024 | 88 | 4 | 4.35 ≈ 4% |
December 2024 | 85 | 7 | 7.61 ≈ 8% |
January 2025 | 81 | 11 | 13.04% ≈ 13% |
February 2025 | 78 | 14 | 15.22 ≈ 15% |
March 2025 | 75 | 17 | 18.48% ≈ 18% |
April 2025 | 72 | 20 | 21.74% ≈ 22% |
May 2025 | 69 | 23 | 25% |
June 2025 | 66 | 26 | 28.26% ≈ 28% |
July 2025 | 63 | 29 | 31.52% ≈ 32% |
August 2025 | 60 | 31 | 33.7% ≈ 34% |
September 2025 | 58 | 34 | 36.96% ≈ 37% |
October 2025 | 56 | 36 | 39.13% ≈ 39% |
- 4% - 0% = 4%
- 8% - 4% = 4%
- 13% - 8% = 5%
- 15% - 13% = 2%
- 18% - 15% = 3%
- 22% - 18% = 4%
- 25% - 22% = 3%
- 28% - 25% = 3%
- 32% - 28% = 4%
- 34% - 32% = 2%
- 37% - 34% = 3%
- 39% - 37% = 2%
Case of Study B: Greenland + Iceland
I decided to start in Greenland this time because it has a relatively low ape population with only 3 apes, one thing I noticed is that after the first few months of the game, no ape deaths were reported, which was not the case in New Guinea where deaths were reported from the first few days.
After some time, I decided that it was a good idea to transport the apes to Iceland, another nearby country with an ape population of only 4 apes. Combining the two populations gave us 7 apes in total and after a week, one ape death was reported.
In previous games, I have seen that small ape populations in certain countries tend to be less likely to die than noticeably larger populations. Where lethal traits are much quicker to act. This was *probably* (though not yet confirmed) done to give the player the opportunity to use apes in regions that don't have as many apes to balance the game.
Case of Study C: Japan
I decided to choose Japan for the next demonstration, mainly because it is a rich island nation with more than 1000 apes. It took about 6 months to infect each of the apes on the island, and after one year, 29% of the apes on the island died from the gene. Approximately between each month I reported that between 2% to 5% of the apes on the island died.
Month | Non-Intelligent | Intelligent | Dead | % of Deaths |
October 2024 | 1620 | 92 | 1 | 0.05% |
November 2024 | 1521 | 185 | 7 | 0.4% |
December 2024 | 1335 | 362 | 16 | 0.93% ≈ 1% |
January 2025 | 1093 | 587 | 33 | 1.92% ≈ 2% |
February 2025 | 657 | 992 | 64 | 3.73% ≈ 4% |
March 2025 | 257 | 1342 | 114 | 6.65% ≈ 7% |
April 2025 | 0 | 1546 | 167 | 9.74% ≈ 10% |
May 2025 | 0 | 1479 | 234 | 13.66% ≈ 14% |
June 2025 | 0 | 1420 | 293 | 17.1% ≈ 17% |
July 2025 | 0 | 1367 | 346 | 20.19% ≈ 20% |
August 2025 | 0 | 1310 | 403 | 23.52% ≈ 23% |
September 2025 | 0 | 1256 | 457 | 26.67% ≈ 27% |
October 2025 | 0 | 1208 | 505 | 29.48% ≈ 29% |
- 1% - 2% = 1%
- 2% - 4% = 2%
- 4% - 7% = 3%
- 7% - 10% = 3%
- 10% - 14% = 4%
- 14% - 17% = 3%
- 17% - 20% = 3%
- 20% - 23% = 3%
- 23% - 27% = 4%
- 27% - 29% = 2%
Case of Study D: Central Africa
This time I decided to try a much larger country in addition to being connected to land, specifically Central Africa, a region of the world with a large number of living apes. During the span of one year, I was not able to infect the entire population of apes in this country, specifically approximately half were infected without any extra ability or transmission while 4% died from the effects of the gene.
Month | Non-Intelligent | Intelligent | Dead | % of Deaths |
October 2024 | 408664 | 73 | 1 | 0.0002% |
November 2024 | 408589 | 143 | 6 | 0.001% |
December 2024 | 408423 | 301 | 14 | 0.003% |
January 2025 | 408394 | 308 | 36 | 0.008% |
February 2025 | 407372 | 1294 | 72 | 0.01% |
March 2025 | 406210 | 2383 | 145 | 0.03% |
April 2025 | 402761 | 5661 | 316 | 0.07% |
May 2025 | 395426 | 12592 | 720 | 0.17% |
June 2025 | 382625 | 24734 | 1379 | 0.33% |
July 2025 | 350407 | 55572 | 2759 | 0.67% |
August 2025 | 311164 | 91933 | 5641 | 1.38% |
September 2025 | 266726 | 131671 | 10341 | 2.52% |
October 2025 | 187050 | 204766 | 16922 | 4.14% |
- 0.001% - 0.0002% = 0.0008%
- 0.003% - 0.001% = 0.002%
- 0.008% - 0.003% = 0.005%
- 0.01% - 0.008% = 0.002%
- 0.03% - 0.01% = 0.02%
- 0.07% - 0.03% = 0.04%
- 0.17% - 0.07% = 0.10%
- 0.33% - 0.17% = 0.16%
- 0.67% - 0.33% = 0.34%
- 1.38% - 0.67% = 0.71%
- 2.52% - 1.38% = 1.14%
- 4.14% - 2.52% = 1.62%
Results
One thing that could be noticed in the ape population in the different countries of the Case Studies was that the demographics of the ape population greatly altered the way the gene functioned as for example Japan and New Guinea, where generally the mortality rate varied between 2% and 5% in each month, but the difference is that Japan is a rich country with many apes available than New Guinea. In Japan, the infection process was much slower where only 29% died from the gene (See Case Study C) while in New Guinea, Simian Flu had no problem infecting all the apes for a short period of time, so that in the end much more apes had to die, specifically about 39% (See Case Study A). This 10% variation in the mortality rate helps us determine that the rate of infection in the islands greatly alters the effects of the gene.
Another key factor is the number of apes per region, in places like Greenland and Iceland which have a very low ape population, within the first few months of the game, no deaths were reported in Greenland (See Case of Study B), then the apes were transported from Greenland to Iceland, within weeks of that procedure, only one death was reported. The lethal traits of Adrenal Surge take much longer to take effect in low population countries, in addition to the fact that combining several species of apes in a single country can alter the mortality rate.
On the other hand, an attempt was made to test the effects of Adrenal Surge in countries with a large number of apes such as Central Africa (See Case of Study D), where during a period of one year about half of the ape population was infected without the aid of any ability, transmission or extra gene, in addition about 4% of the apes died. Reinforcing the cases where the rate of infection greatly alters the way this gene functions especially in countries with large numbers of apes.
Conclusions
In conducting this research, several aspects of the gene were analyzed, it was noted that Ape Rampage was much more ferocious when attacking Gen-Sys where humans increasingly began to worry about the attacks of apes, additionally after the course of the game, Gen-Sys can use the bodies of apes to accelerate the research, factors such as hunting apes as well as the widespread concern for the apes considerably increased the lethality for them.
Another key aspect is how this gene worked in countries with different ape demographics, it was noted that factors such as the total ape population greatly affected the speed of the lethal traits where in nations where they have a small number of apes, the process will be much slower before complete annihilation, plus if the player groups different groups of apes in the same nation it can alter the mortality rate.
The second important factor includes the speed of infection of Simian Flu where the mortality rate varies if the disease completely infects the country depending on the time lapse, countries where Simian Flu completely rooted in infections ended up with a slightly higher mortality rate while countries where Simian Flu had a hard time infecting all the apes ended up with a slightly lower mortality rate than inland, giving players the opportunity to get a higher mortality rate than the previous one, giving players the opportunity to vary their strategy in the game depending on the affected countries in question.