Adrenal Surge Explained (Simian Flu)

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.

After I used Ape Rampage to destroy a laboratory in China, a popup appeared talking about brutal attacks around the country by apes, causing the authorities to take much more aggressive measures against apes.
My second incident with the humans happened in the Philippines, where after destroying another lab, I got a popup talking about reports of how the apes had caused terror in the country after the 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.

In-Game Code for this event, where it is necessary to have about 0.05% of the ape population dead in order for Gen-Sys to use body experiments. (Source: Games Files)

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.

Dead Apes at the end of the game

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%

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.

See Video
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%

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.

See Video
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%

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.