aws algoritma rtp jam malam aws analisa rtp live wins3 aws intensitas wild ways2 konsisten aws mahjong favorit pemain baru aws pola naga emas ways aws pola scatter berjejer wins3 aws scatter berlapis ways2 aws scatter merah legendaris pgsoft aws strategi spam spin terstruktur aws versi nyata mahjong ways aws harmonisasi ritme mahjong wild2 aws penyesuaian strategi tren rtp aws sistem spin sederhana ways2 aws tempo spin bertingkat mahjong aws teori permainan investasi emas aws update ai scatter mahjong aws update fitur rahasia pgsoft aws volatilitas awal bulan mahjong aws waktu strategis mahjong ways aws wellness fokus mahjong harian oke bukan instan scatter wild mahjong ways oke mahjong wins waktu mandek scatter hitam oke ada nuansa mahjong ways scatter wild oke waktu seolah berhenti scatter hitam oke waktu terus berlalu scatter hitam mahjong mahjong wins keluar zona scatter hitam ketidakacakan mahjong ways scatter saat scatter hitam lebih keras mahjong wins permainan biasa menjadi arena mahjong mahjong ways dinamika scatter wild putaran putaran simbol mahjong ways scatter mulai mahjong wins serius ketika scatter mengatur mahjong wins memasuki fase scatter wild biasa ketika scatter mahjong wins bisa dibaca batas scatter hitam berkuasa di mahjong e4 fokus dan konsistensi mahjong wins 2 menuju scatter hitam e4 kesalahan fatal pemain mahjong wins terlalu agresif tanpa ritme e4 mengatur timing spin mahjong wins agar bonus lebih mudah terbuka e4 metode aman berbasis data dan rtp update e4 pendekatan konsisten dan analitis mahjong wins e4 pendekatan terukur mahjong wins dengan pola stabil e4 pola main disiplin dengan analisis angka e4 rahasia konsisten 23 juta berkat evaluasi data e4 strategi aman berbasis rtp terbaru menuju 33 juta studi periodik rasio simbol bernilai tinggi mahjong ways 2 durasi sesi implementasi pola aman simbol wild target finansial 40 juta dialektika intuisi logika struktur mahjong wins 3 inovasi hiburan analisis dekonstruksi pola strategis mahjong ways akumulasi hasil implementasi formasi simbol terpadu mahjong ways efisiensi sesi studi komparatif dinamika pola mahjong ways indikator balikan rekonstruksi strategi pemain ahli algoritma mahjong ways metodologi sinkronisasi simbol grid mahjong ways akumulasi nilai interpretasi teknis formasi pola mahjong ways keputusan strategis kajian profesional pola transisi scatter mahjong ways konsistensi analisis algoritma capaian finansial pola terstruktur mahjong ways sinergi kalkulasi probabilitas pola visual mahjong ways strategi dekoding arsitektur mekanik mahjong ways korelasi pola stabilitas dinamika awal scatter wild mahjong ways 2 strategi total strategi pemain menata ritme konsistensi putaran digital mahjong wins sikap pasif scatter utama saat waktu terasa scatter mahjong putaran demi scatter hitam segalanya mahjong ways ritme scatter wild menyatu mahjong ways lebih lega scatter wild scatter wild mahjong ways setiap putaran mahjong wins arah scatter hitam putaran ketegangan terbangun menjadi scatter hitam bukan sekadar simbol scatter mahjong ways bukan keajaiban mahjong wins scatter hitam aws evaluasi teknis mahjong wins3 aws momentum mahjong ways2 spin aws algoritma dinamis mahjong ways2 aws spin progresif mahjong ways3 aws strategi wild blackscatter ways2 aws fase mahjong wins3 simbol aws efektif scatter hitam wins3 aws target bertahap rtp mahjong aws data rtp adaptasi algoritma aws inovasi pgsoft scatter adaptif AWSBET AWSBET e4 cara membaca data rtp mahjong wins secara profesional e4 cara membaca rtp mahjong wins untuk target 30 juta e4 cara mengatur saldo di mahjong wins 3 tanpa tekanan e4 disiplin finansial mahjong wins 3 untuk hasil konsisten e4 disiplin ketat jadi kunci maksimalkan rtp e4 disiplin ketat mahjong wins 2 untuk peluang scatter maksimal e4 fakta mengejutkan rtp mahjong wins tempo main lebih penting dari kecepatan e4 analisis pola konsisten mahjong wins menuju hasil maksimal e4 analisis pola mahjong wins dampak kecepatan spin terhadap peluang bonus e4 analisis pola sistem untuk hasil lebih optimal e4 analisis profesional mahjong wins untuk target puluhan juta e4 analisis statistik mahjong wins untuk hasil lebih optimal e4 cara cermat optimalkan rtp terbaru e4 cara kerja algoritma rtp mahjong wins 3 dan strateginya audit sistemik performa mahjong ways dinamika arus mekanik virtual metodologi bermain santai rasio pengembalian efektif target 65 juta kriptoanalisis struktur grid mahjong wins 3 dekoding dinamika sistem manajemen arus kas internal arena digital capaian 65 juta arsitektur strategi anatomis mahjong wins 3 probabilitas scatter hitam proyeksi stabilitas algoritma mahjong ways 2 hiburan digital 2026 signifikansi formasi simbol awal sesi pemandu strategi pemain ahli efektivitas disiplin teknis algoritma sistem akumulasi 34 juta navigasi alur terarah rasio pengembalian sistem target 90 juta analisis tren strategi santai viral target 22 juta efisien aws ekonomi digital probabilitas scatter aws evolusi mahjong digital 2026 aws formulasi transisi grid rtp aws ide turbo spin fokus aws konsistensi mahjong hujan scatter aws matematika peluang update rtp aws panduan visual simbol mahjong aws plot twist scatter hitam aws review putaran malam mahjong aws strategi modal umkm mahjong aws algoritma energi acak mahjong aws antisipasi perubahan putaran mahjong aws dasar keputusan alur mahjong ways aws evaluasi momen mahjong wins aws fleksibilitas versus rtp mahjong wins aws konsistensi saldo mahjong ways aws membaca pergerakan sistem mahjong aws menafsirkan perubahan sistem mahjong aws teknis mahjong ways terbaru aws volatilitas mahjong ways 2026 aws algoritma profit wisata viral aws analisis scatter hitam mahjong aws atur ritme putaran mahjong aws kecepatan spin fokus keputusan aws panduan fase mahjong ways analisis psikologi kontrol emosi kecepatan putaran studi perilaku strategis momentum ritme visual disiplin teknis fluktuasi indikator balikan strategi digital evaluasi stabilitas mahjong ways 2 pembaruan algoritma integrasi logika komputasi intuisi strategis arena ketangkasan proyeksi analitis evolusi mekanik permainan tema asia kalibrasi prediksi data historis momentum scatter hitam interpretasi teknis formasi simbol mahjong wins 3 strategi data strategi akumulasi 75 juta indikator balikan mahjong ways 2 stabil metafisika simbol wild ekosistem digital adaptabilitas intuisi strategis e3 ritme seimbang mahjong ways 2 jadi kode e3 ritme stabil mahjong ways 2 dan mental e3 ritme stabil mahjong ways 2 menjadi sinyal e4 struktur evaluasi algoritma rtp sebagai fondasi strategi bermain mahjong ways 2 scatter wild mekanik mahjong ways putaran mahjong wins hidup efek berlapis momentum kemenangan brutal scatter mahjong ketika scatter hadir alur putaran mahjong efek berantai scatter hitam mahjong scatter hitam mahjong pemicu cuan instan saat scatter kombinasi mesin cuan scatter wild emas cuan terus naik perpaduan fitur mahjong ways arus jepe mahjong wins arena profit scatter hitam e4 rtp dan disiplin bermain kombinasi senyap penghasil kemenangan besar e4 saat algoritma bekerja rtp tinggi dan strategi sabar yang berbuah cuan besar e4 stabilitas spin mahjong ways 2 menjadi latar scatter emas menunggu titik gerak e4 strategi berbasis rtp dari perhitungan dingin ke ledakan saldo e4 strategi konsisten mahjong ways 2 menuju scatter hitam terinspirasi mental juara olimpiade musim dingin 2026 e4 strategi presisi ala olimpiade musim dingin 2026 terpantul dalam pola mahjong ways 2 e4 struktur analisis psikologi pengguna terhadap evolusi pola visual mahjong ways 2 e4 studi stratifikasi kognitif pengguna dalam menghadapi variasi algoritma mahjong ways 2 e4 tanpa hoki berlebihan rtp dan disiplin ketat mengantar cuan gede e4 terbongkar algoritma rtp yang diam diam mengantar kemenangan puluhan juta mahjong menampilkan performa maksimal scatter momentum spin drastis scatter hitam cuan putaran menggila ketika scatter cuan saat scatter mahjong menjadi mesin scatter wild emas pemicu 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FLASHLINE-16 Daily Report 13 & 14-07-2024

 In Daily report

Note: this is the final daily report of the FMARS-16 mission. It includes the daily report for both 7/13 and 7/14.

The Arctic Wolves awoke on Friday morning by splitting up into two teams. Crew Engineer Robbins and I proceeded to the runway with the team’s personal luggage, whereas the rest of the team tidied up the habitat and stayed in contact with our charter plane company for further instructions. The trip to the runway was straightforward; Robbins and I had taken it several times yesterday in our ATVs as we moved the drums and trash to the runway. The weather was cloudy and foggy, but our forecast expected it to clear up very soon.

The crew gathered on the second floor of the station and waited. Some played card games to pass the time, others used it as an opportunity to nap, and I used the time to climb the radio tower of the habitat to inspect last year’s roof sealing work. Fortunately, they were still holding and appeared robust, but better climbing equipment would be needed to more safely seal the rest of the roof in 2025. As the morning stretched out, we realized that our chances of getting off Devon today were decreasing; the weather at Resolute Bay would not allow any planes to safely take off or land.

We learned that the inclement weather wasn’t affecting only Devon Island and Resolute Bay, but much of the northern arctic. Our commercial flight was canceled, and we were notified by the charter that we would not be picked up today. It was definitely a morale blow to the team, but we spent the next few hours canceling subsequent flights and lodging. Once the dust had settled in the afternoon, a new plan was in place. We would attempt an early pickup from Devon via charter plane on Saturday morning, and a backup commercial flight for Saturday afternoon was already scheduled. It was essentially a duplicate plan of today’s with a hope that weather would be more favorable.

Friday evening was relatively uneventful as the Arctic Wolves stayed in a holding pattern for departure (aviation pun intended). Any personal luggage that was needed for the night was returned to the station, and we repaired some of the staircases to the main and engineering airlocks. The team went to bed relatively early, because the weather started to worsen – the worst we have had yet! From your sleeping bag in the individual rooms, you could hear the wind howling and the downpour hitting the base’s exterior. We had conflicting weather forecasts from different sources if the morning would clear up or not, so we dozed off with high hopes.

I was woken up on Saturday morning around 7:30 AM by HSO Swarmer knocking on my room door, yelling “they are fueling up the plane!” With less than an hour before takeoff and a 40-minute duration flight, this meant we had to spring into action – and fast. Everyone packed up their luggage and handed them off to Crew Engineer Robbins and CSO Nicholson, who made the last ATV trip to the runway to drop off gear. The rest of us stayed behind and performed the final tasks. We dubbed these “the final tasks” because they remove functionality from the hab and shouldn’t be performed unless we are immediately leaving the hab:

  • Bear mirrors were stowed inside.
  • The incinerator was covered and disassembled to prevent corrosion over the winter.
  • The main generator (Yellow Submarine) had fuel stabilizer added to its tank and was placed in its protective shed.
  • The last ATV had fuel stabilizer added and was tarped.
  • Starlink was disconnected and stowed inside.

The Starlink action was performed right after HSO Swarmer got confirmation that our Twin Otter plane was in the air, and after we notified Mission Support that we were going to attempt to depart the island over the next hour. After a 10-minute final sweep of the habitat, we said goodbye to the hab and began our final trek to the runway.

As we walked to the runway, the whole experience was analogous to the deorbiting phase of true spaceflight. We were in an uncertain phase of the mission (e.g. would the plane be able to land? did we try to bring too much weight on the plane? would we be able to take off?), similar to the dangers of re-entry and the high temperatures that come with it. We would not be able to communicate with mission support during this time, and spacecraft are not able to communicate with mission control beyond the plasma field they generate traveling though the upper atmosphere. However, within a minute of reaching the runway on foot, Commander Cinelli exclaimed “is that the plane?” Indeed, we had timed the rendezvous to within seconds! The Twin Otter landed, we helped the crew load equipment and our two gas drums into the vehicle, and we were back in the air in 15 minutes towards Resolute.

If I had previously thought the flight towards Devon Island was an emotional moment, I was not prepared for the flight leaving it. Seeing the terrain below that once felt alien but now felt familiar – like home – and made me want to stay. The amount of snow and water in streams that we saw on descent had significantly decreased as Devon Island became a perennial arctic desert. We saw tall ridges and deep rivers that I’m sure my fellow crew members wished we could have ventured to on EVA, if only we had more time. I left Devon Island feeling a strong sense of accomplishment and pride, but also a longing to have done so much more in my ten days there.

The team split up on Resolute. Some arrived early at the airport to repack equipment and check in on the flight, and others grabbed a quick meal and shower at the south camp inn. We left on our first commercial flight this afternoon, and landed back in Iqaluit, the capitol of Nunavut. The team checked into their hotel rooms for the night, picked up some supplies at a local convenience store, and grabbed dinner. Tomorrow would be our last flight together before we split up and continued our very different – yet equally exciting – lives and careers.

And at this point, my daily reports come to an end.

Sometimes documenting the tasks of our crew seemed like a chore, but looking back on the cumulative 10,000+ words, it tells the full and complete story of the FMARS-16 Arctic Wolves crew. 17 days of adventure, with 10 of those days on Devon Island, and 3 of those days in true analog astronaut simulation. In the coming weeks, the science we have gathered will be analyzed and hopefully lead to published research that advance biology, geology, human psychology, and our familiarity with aerospace operations. The crew will resume their professions and take these experiences back with them to further their aerospace and space exploration passions. And the environment of Devon Island will remain the same, desolate and beautiful – as it should be.

The crew is already excited for what next year’s mission will look like. We have talked about improving our water system, increasing our renewable energy sources, determining schedules to spend more time in simulation, and finding better ways to perform outreach to the local community and Mars Society while on mission. Last year’s FMARS-15 mission was focused on restoring the habitat to a functional state, and FMARS-16 further improved the base to perform real missions. And in 2025, FMARS-17 is poised to be a world-class analog environment that is unlike any on Earth, and very much like that of the Moon and Mars. Stay tuned with the Mars Society for opportunities to be involved in that future with us!

Signing off (for now),
Logistics Officer Michael Andrews