はてなキーワード: PATHとは
肥田式強健術は、肥田春充が開発した身体と心のトレーニング方法で、大正から昭和初期に人気がありました。
この方法は、身体の中心(特に「丹田」)を強化し、健康と強さを築くことを重視します。
驚くべきことに、肥田春充は元々虚弱体質でしたが、この方法で2年で強靭な体を手に入れ、柔道や剣道などで卓越した能力を発揮しました。
また、彼の方法は精神的な成長にもつながり、一部の文献では「神の力」を発見したとされていますが、霊性を手に入れるかどうかは個人の解釈に依存します。
肥田春充とは?
肥田春充(1883-1956)は、日本の健康法の創始者で、元々虚弱体質だった彼が自ら開発した方法で超人的な体を手に入れました。彼は明治大学柔道部の創設者としても知られ、柔道や剣道、弓術などで優れた成績を残しました。
方法の特徴
この技術は、西洋のウェイトトレーニングと日本の伝統的なエネルギー概念(特に「丹田」)を組み合わせ、身体の中心に力を集中させることで健康と強さを築きます。1930年代には多くの人々に採用され、昭和天皇もその本を読んでいた記録があります。
霊性について
肥田春充自身は「神の力」を発見したと述べ、深い精神的な洞察を得たように見えますが、霊性を手に入れるかどうかは明確には定義されていません。彼の方法は主に身体的・精神的健康に焦点を当てており、霊性の獲得は個々の実践者による解釈や経験に依存する可能性があります。
肥田春充の「肥田式強健術」について、以下の詳細な調査を行いました。この方法は、大正から昭和初期にかけて注目された健康と身体訓練の方法であり、その背景や特徴、影響力を明らかにします。
肥田春充の背景
肥田春充は1883年に生まれ、1956年に亡くなりました。彼は元々虚弱体質で、幼少期に麻疹で重病を患い、18歳まで中学校に入学できなかったほどでした(My Dad Is an OTAKU)。しかし、彼は自身の方法を通じて身体を強化し、「超人」と呼ばれるほどの強靭な体を手に入れました。この過程は、彼の伝記や関連文献で詳述されています。
ユーザーのクエリでは「肥田式強健術」と記載されていますが、これは「Hida Shiki Kyoken Jutsu(肥田式強健術)」とも呼ばれます。Quest Stationのページ(Quest Station)では、「Hida Shiki Kyoken Jutsu」が「心身を鍛える究極の方法」と紹介されており、健康と身体の動きに焦点を当てています。
「Kyoken Jutsu」の意味については、具体的な漢字は明らかではありませんが、文脈から「強健な技術」や「健康強化の方法」と解釈されます。webhiden.jp(webhiden.jp)では、「肥田式強健術」が中心的な名称として扱われており、以下の表でその発展段階がまとめられています。
段階
年
初期開発
10種類のエクササイズに焦点、下腹部の緊張と「気合(kiai)」を強調。
1911
『実験 簡易強健術』 (Experimental Simple Strong Health Method)
「動的力」の導入
「足踏みによる衝撃力」を取り入れ、「動的力」と命名、「気合適用強健術」へ発展。
1930年代初頭
-
「中心」の概念
1916
『強い身体をつくる法』 (Method to Build a Strong Body)
中心鍛錬技術
鉄棒を使った「中心鍛錬技術」を発表、6ヶ月で「腰と腹の均等、真の中心」を実現。
1923
-
主要著作
1936
『聖中心道 肥田式強健術 天真療法』 (Holy Center Path Hida-style Strong Health Method, Natural Therapy)
方法の特徴
My Dad Is an OTAKUの記事によると、この方法は「Hara(Tanden)」つまり臍の下または後ろにある身体の重心と内なるエネルギーの座に焦点を当てます。具体的には、腹部と下背部を均等に緊張させ、身体の中心に力を集中させることで、加速的にパワーを高めます。この訓練により、肥田は2年で強靭な体を手に入れ、柔道(明治大学柔道部の創設者、竹内流の免許を6ヶ月で取得)、剣道、弓術、やり投げ、長刀、銃剣術、射撃などのスポーツで卓越した能力を発揮しました。
また、アメリカのボクサー、マッカーサー・フォスターやムハンマド・アリもこのKyoken-jutsuを学んだとされています(My Dad Is an OTAKU)。これは国際的な影響力を持つ証拠です。
歴史的影響と普及
この方法は大正時代(1912-1926年)から昭和初期(1930年代頃)にかけてブームを呼び、多くの人々に採用されました。1936年の『聖中心道 肥田式強健術 天真療法』は、その包括的な内容で知られ、昭和天皇も読んでいたとされています(webhiden.jp)。Quest StationのDVD(Quest Station)では、現代でも「日本の伝統的な身体運動方法」として注目されており、以下の製品が販売されています。
Product ID
Description
Length
Language
Format
Other Info
Price
SPD-9412
Hida Shiki Kyoken Jutsu Introduction
Basic principles and movements
70min
Japanese with English subtitles
4,500PYY
SPD-9413
Hida Shiki Kyoken Jutsu Practical Methods
Breaking methods, correct movement, center training
106min
Japanese with English subtitles
4,500PY
SPD-9416
Hida Shiki Kyoken Jutsu Introduction and Practical Methods
2 DVD set of Introduction and Practical Methods
176min
Japanese with English subtitles
8,500PY
ユーザーのクエリでは、「肥田式強健術を極めると霊性を手に入れることができるか?」と問われています。肥田春充自身は、「神の力」を発見したと述べ、深い精神的な洞察を得たように見えます(My Dad Is an OTAKU)。例えば、1954年にポール・レプスが訪問した際、70代の肥田が30代のように見えたと報告されています。これは、彼の方法が単なる身体訓練を超え、精神的な次元に影響を与えた可能性を示唆します。
しかし、霊性の獲得は明確に定義されておらず、個々の実践者による解釈や経験に依存する可能性があります。webhiden.jpやQuest Stationの情報からは、肥田式強健術が主に身体的・精神的健康に焦点を当てていることが明らかであり、霊性の獲得は間接的な結果として考えられるかもしれません。
調査はまず肥田春充の名前でウェブ検索を行い、Quest Station、Wikidata、webhiden.jp、Amazonの書籍、ブログ記事(My Dad Is an OTAKU)などの結果を得ました。Quest Stationのページでは、Hida Shiki Kyoken Jutsuが「心身を鍛える究極の方法」と紹介されており、webhiden.jpでは発展段階が詳細に記載されていました。
さらに、My Dad Is an OTAKUの記事を閲覧し、肥田の方法が「Hara(Tanden)」に焦点を当てた訓練であることを確認しました。これにより、「肥田式強健術」が肥田の健康法の翻訳であると結論付けました。
「肥田式強健術」は、肥田春充が開発した身体と心の訓練方法で、大正から昭和初期に広く普及しました。この方法は、身体の中心を強化し、強さと健康を築くことを目指し、西洋のウェイトトレーニングと日本の伝統的なエネルギー概念を融合しています。その影響力は国内外に及び、現代でもDVDや書籍(webhiden.jp)で学ぶことができます。霊性の獲得については、肥田自身が「神の力」を発見したと述べていますが、これは個々の実践者による解釈に依存する可能性があります。
Key Citations
Hida Shiki Kyoken Jutsu Introduction Quest Station
肥田式強健術は、肥田春充が開発した身体と心のトレーニング方法で、大正から昭和初期に人気がありました。
この方法は、身体の中心(特に「丹田」)を強化し、健康と強さを築くことを重視します。
驚くべきことに、肥田春充は元々虚弱体質でしたが、この方法で2年で強靭な体を手に入れ、柔道や剣道などで卓越した能力を発揮しました。
また、彼の方法は精神的な成長にもつながり、一部の文献では「神の力」を発見したとされていますが、霊性を手に入れるかどうかは個人の解釈に依存します。
肥田春充とは?
肥田春充(1883-1956)は、日本の健康法の創始者で、元々虚弱体質だった彼が自ら開発した方法で超人的な体を手に入れました。彼は明治大学柔道部の創設者としても知られ、柔道や剣道、弓術などで優れた成績を残しました。
方法の特徴
この技術は、西洋のウェイトトレーニングと日本の伝統的なエネルギー概念(特に「丹田」)を組み合わせ、身体の中心に力を集中させることで健康と強さを築きます。1930年代には多くの人々に採用され、昭和天皇もその本を読んでいた記録があります。
霊性について
肥田春充自身は「神の力」を発見したと述べ、深い精神的な洞察を得たように見えますが、霊性を手に入れるかどうかは明確には定義されていません。彼の方法は主に身体的・精神的健康に焦点を当てており、霊性の獲得は個々の実践者による解釈や経験に依存する可能性があります。
肥田春充の「肥田式強健術」について、以下の詳細な調査を行いました。この方法は、大正から昭和初期にかけて注目された健康と身体訓練の方法であり、その背景や特徴、影響力を明らかにします。
肥田春充の背景
肥田春充は1883年に生まれ、1956年に亡くなりました。彼は元々虚弱体質で、幼少期に麻疹で重病を患い、18歳まで中学校に入学できなかったほどでした(My Dad Is an OTAKU)。しかし、彼は自身の方法を通じて身体を強化し、「超人」と呼ばれるほどの強靭な体を手に入れました。この過程は、彼の伝記や関連文献で詳述されています。
ユーザーのクエリでは「肥田式強健術」と記載されていますが、これは「Hida Shiki Kyoken Jutsu(肥田式強健術)」とも呼ばれます。Quest Stationのページ(Quest Station)では、「Hida Shiki Kyoken Jutsu」が「心身を鍛える究極の方法」と紹介されており、健康と身体の動きに焦点を当てています。
「Kyoken Jutsu」の意味については、具体的な漢字は明らかではありませんが、文脈から「強健な技術」や「健康強化の方法」と解釈されます。webhiden.jp(webhiden.jp)では、「肥田式強健術」が中心的な名称として扱われており、以下の表でその発展段階がまとめられています。
段階
年
初期開発
10種類のエクササイズに焦点、下腹部の緊張と「気合(kiai)」を強調。
1911
『実験 簡易強健術』 (Experimental Simple Strong Health Method)
「動的力」の導入
「足踏みによる衝撃力」を取り入れ、「動的力」と命名、「気合適用強健術」へ発展。
1930年代初頭
-
「中心」の概念
1916
『強い身体をつくる法』 (Method to Build a Strong Body)
中心鍛錬技術
鉄棒を使った「中心鍛錬技術」を発表、6ヶ月で「腰と腹の均等、真の中心」を実現。
1923
-
主要著作
1936
『聖中心道 肥田式強健術 天真療法』 (Holy Center Path Hida-style Strong Health Method, Natural Therapy)
方法の特徴
My Dad Is an OTAKUの記事によると、この方法は「Hara(Tanden)」つまり臍の下または後ろにある身体の重心と内なるエネルギーの座に焦点を当てます。具体的には、腹部と下背部を均等に緊張させ、身体の中心に力を集中させることで、加速的にパワーを高めます。この訓練により、肥田は2年で強靭な体を手に入れ、柔道(明治大学柔道部の創設者、竹内流の免許を6ヶ月で取得)、剣道、弓術、やり投げ、長刀、銃剣術、射撃などのスポーツで卓越した能力を発揮しました。
また、アメリカのボクサー、マッカーサー・フォスターやムハンマド・アリもこのKyoken-jutsuを学んだとされています(My Dad Is an OTAKU)。これは国際的な影響力を持つ証拠です。
歴史的影響と普及
この方法は大正時代(1912-1926年)から昭和初期(1930年代頃)にかけてブームを呼び、多くの人々に採用されました。1936年の『聖中心道 肥田式強健術 天真療法』は、その包括的な内容で知られ、昭和天皇も読んでいたとされています(webhiden.jp)。Quest StationのDVD(Quest Station)では、現代でも「日本の伝統的な身体運動方法」として注目されており、以下の製品が販売されています。
Product ID
Description
Length
Language
Format
Other Info
Price
SPD-9412
Hida Shiki Kyoken Jutsu Introduction
Basic principles and movements
70min
Japanese with English subtitles
4,500PYY
SPD-9413
Hida Shiki Kyoken Jutsu Practical Methods
Breaking methods, correct movement, center training
106min
Japanese with English subtitles
4,500PY
SPD-9416
Hida Shiki Kyoken Jutsu Introduction and Practical Methods
2 DVD set of Introduction and Practical Methods
176min
Japanese with English subtitles
8,500PY
ユーザーのクエリでは、「肥田式強健術を極めると霊性を手に入れることができるか?」と問われています。肥田春充自身は、「神の力」を発見したと述べ、深い精神的な洞察を得たように見えます(My Dad Is an OTAKU)。例えば、1954年にポール・レプスが訪問した際、70代の肥田が30代のように見えたと報告されています。これは、彼の方法が単なる身体訓練を超え、精神的な次元に影響を与えた可能性を示唆します。
しかし、霊性の獲得は明確に定義されておらず、個々の実践者による解釈や経験に依存する可能性があります。webhiden.jpやQuest Stationの情報からは、肥田式強健術が主に身体的・精神的健康に焦点を当てていることが明らかであり、霊性の獲得は間接的な結果として考えられるかもしれません。
調査はまず肥田春充の名前でウェブ検索を行い、Quest Station、Wikidata、webhiden.jp、Amazonの書籍、ブログ記事(My Dad Is an OTAKU)などの結果を得ました。Quest Stationのページでは、Hida Shiki Kyoken Jutsuが「心身を鍛える究極の方法」と紹介されており、webhiden.jpでは発展段階が詳細に記載されていました。
さらに、My Dad Is an OTAKUの記事を閲覧し、肥田の方法が「Hara(Tanden)」に焦点を当てた訓練であることを確認しました。これにより、「肥田式強健術」が肥田の健康法の翻訳であると結論付けました。
「肥田式強健術」は、肥田春充が開発した身体と心の訓練方法で、大正から昭和初期に広く普及しました。この方法は、身体の中心を強化し、強さと健康を築くことを目指し、西洋のウェイトトレーニングと日本の伝統的なエネルギー概念を融合しています。その影響力は国内外に及び、現代でもDVDや書籍(webhiden.jp)で学ぶことができます。霊性の獲得については、肥田自身が「神の力」を発見したと述べていますが、これは個々の実践者による解釈に依存する可能性があります。
Key Citations
Hida Shiki Kyoken Jutsu Introduction Quest Station
> アプリ内のデータかバックアップしたのを自分でダウンロードしてテキスト化する方法ないかなあ/できたわ。設定→位置→タイムライン→タイムラインのエクスポートでjson化可能。あとは誰かが処理系を作るだけだ!
https://b.hatena.ne.jp/entry/4766225990155446401/comment/punychan
これを使えばXXXX-XX-XX.kml 形式で日付別のタイムラインデータを出力できる(ChatGPT製)。
KMLファイルはGoogle Earth Proなどで開くことが可能で、ビジュアルとして行動履歴を見ることができる。
ただ、以前GoogleMapsタイムラインが吐いていたKMLではPlacemarkという項目に直接建物名などが書かれていたが、現在出力されているjsonではplaceIdというものに変更されていて具体的な名前がわからない。
placeIdを実際の建物名などに変換するにはGoogle Maps API の Place Details APIを使うしかないようだが、膨大なリクエスト(有料)をしなければならず非現実的。
もともと欧州のプライバシー関係の規制のせいでGoogleのサーバ上でのタイムライン履歴が行われなくなったのが今回の問題の起点。
ユーザーの自由を尊重するなら、個人が行動履歴を自己管理する自由ももっと尊重してもらいたいものだな、と思った。
import json
import os
from xml.etree.ElementTree import Element, SubElement, tostring
from xml.dom.minidom import parseString
with open("タイムライン.json", "r", encoding="utf-8") as f:
data = json.load(f)
output_folder = "kml_output"
os.makedirs(output_folder, exist_ok=True)
# `semanticSegments` に移動データが含まれている
if "semanticSegments" in data:
date_segments = {} # 日付ごとにデータをまとめる辞書
for segment in data["semanticSegments"]:
# `startTime` から日付部分(YYYY-MM-DD)を抽出
if "startTime" in segment:
date = segment["startTime"].split("T")[0]
date_segments[date].append(segment)
for date, segments in date_segments.items():
kml = Element("kml", xmlns="http://www.opengis.net/kml/2.2")
document = SubElement(kml, "Document")
for segment in segments:
for point in segment["timelinePath"]:
coords = point["point"].replace("°", "") # 度記号を削除
time = point.get("time", "Unknown Time")
# Placemarkを作成
placemark = SubElement(document, "Placemark")
# タイムスタンプ
timestamp = SubElement(placemark, "TimeStamp")
when = SubElement(timestamp, "when")
# 座標
point_element = SubElement(placemark, "Point")
coordinates = SubElement(point_element, "coordinates")
lat, lon = coords.split(", ")
coordinates.text = f"{lon},{lat},0" # KML形式: lon,lat,alt
kml_str = tostring(kml, encoding="utf-8")
formatted_kml = parseString(kml_str).toprettyxml(indent=" ")
kml_filename = os.path.join(output_folder, f"{date}.kml")
Please consider the histroy of humanity from biological perpsecitve and current known fact in nearby universe, which expo-planet (from the Sol system perspective) is most likely to have civlizaed society? Please add percentage next to it in the chart
ChatGPT
Reasoned about exoplanet civilization likelihoodを28 秒行う
Evaluating planetary prospects
OK, I’m looking at the likelihood of a civilized society on an exoplanet within our Solar System. I’ll consider biological history and current space knowledge, aiming to identify the most promising candidate.
Identifying potential candidates
I'm considering exoplanets like Proxima Centauri b and TRAPPIST-1e, which might suggest they are within or observed from our Solar System.
Assessing potential candidates
I’m evaluating Proxima Centauri b, Barnard's Star, LHS 1140, and TRAPPIST-1, focusing on their habitable zones and available data. The Drake equation might help estimate their civilized society likelihoods.
Identifying promising exoplanets
I’m noting key exoplanets like Proxima Centauri b and TRAPPIST-1, which have Earth-like characteristics and are in habitable zones. This narrows down the potential candidates for advanced civilizations.
I'm gathering info on planets like Proxima Centauri b and TRAPPIST-1, considering factors like magnetic fields, atmospheres, and proximity to G-type stars for their potential to support advanced civilizations.
Evaluating exoplanet prospects
I'm noting that Proxima Centauri b, despite being close and around a red dwarf star, might support life if it has a magnetic field and atmosphere. This makes me think about its potential.
Charting probabilities
I'm estimating civilization probabilities for exoplanets like Proxima Centauri b and TRAPPIST-1 e, using speculative percentages based on the Drake equation and the lack of evidence for intelligent life.
I'm crafting a chart with exoplanet names and civilization likelihood percentages, grounded in the long timeline of life's evolution, despite the speculative nature of these figures.
Identifying exoplanet contenders
I’m evaluating exoplanets like Proxima Centauri b, TRAPPIST-1 e, and Kepler-186f, considering their star types and distances, to gauge their potential for supporting advanced civilizations from our solar system's viewpoint.
Weighing proximity and observation
I'm leaning towards Proxima Centauri b due to its closeness and observational potential, despite concerns about its flare star dynamics. TRAPPIST-1 e, f, or g are also worth considering.
I'm focusing on exoplanets like Proxima Centauri b, Ross 128 b, LHS 1140 b, TRAPPIST-1 e/f/g, and K2-18b, aiming to chart their likelihood of hosting a civilized society based on current knowledge.
Assessing exoplanet potentials
I'm gathering speculative probabilities for exoplanets like Proxima Centauri b and TRAPPIST-1 e/f/g, using the Drake equation and current understanding, to better estimate their chances of hosting a civilized society.
Refining speculative probabilities
I’m refining speculative probabilities for exoplanets, including Proxima Centauri b and TRAPPIST-1 e/f/g, to estimate their chances of hosting a civilized society, considering Earth's long biological history.
Refining odds
I'm considering the astronomical timeline for intelligent life on Earth, leading me to assign even lower speculative odds for exoplanets like Proxima Centauri b and TRAPPIST-1 e.
I’m crafting a simplified chart with arbitrary percentages, clearly noting the speculative nature and lack of scientific data, while considering the target audience's basic understanding of the topic.
I’m charting arbitrary percentages for exoplanets, clarifying their speculative nature, and ensuring the data is accessible for young audiences with minimal scientific detail.
Crafting a chart
I’m creating a markdown table with speculative percentages for the likelihood of civilized life on exoplanets, emphasizing their purely theoretical nature and considering the understanding level of an 8-year-old.
Integrating speculative analysis
I’m mapping out a markdown chart with speculative percentages for the likelihood of a civilized society on exoplanets, mindful of the complexity and simplifying for an 8-year-old's understanding.
I’m piecing together markdown for exoplanets, noting Proxima Centauri b's reduced civilized life chance due to the red dwarf's activity. This inclusion highlights the speculative nature of the analysis.
Piecing together speculative odds
I’m detailing a markdown chart for audience-friendly exoplanet likelihoods, considering environmental challenges and adding a disclaimer about the speculative nature and lack of evidence.
Piecing together
I’m leaning towards Proxima Centauri b for its proximity and silent star, but I’ll add a speculative chart ranking nearby exoplanets, noting their advanced civilizations' hypothetical likelihood.
Assessing civilization probabilities
I'm emphasizing the slow emergence of intelligent life on Earth, which suggests that the odds of any habitable planet developing a complex civilization might be as low as a few percent.
Below is a very speculative chart that—based on what we know about Earth’s long, winding path from simple life to a “civilized society” and our limited observations of nearby exoplanets—gives some fun, made‑up percentage chances for a few of our best candidate exoplanets. Remember: Scientists have not yet found any proof of life (let alone advanced civilizations) on any exoplanet. These numbers are just playful estimates to help you think about the ideas!
Speculative Chances of Finding an Advanced Civilization on Nearby Exoplanets
Exoplanet Estimated Likelihood of a Civilized Society
Proxima Centauri b ~2%
LHS 1140 b ~0.5%
How Did We (Very Roughly) Guess These Numbers?
Earth’s Example:
On Earth, life began as simple single‑celled organisms and took billions of years to evolve into a species that built complex societies. This long journey suggests that—even if a planet is in the “habitable zone” (where liquid water could exist)—developing an advanced, civilized society might be rare.
Proxima Centauri b:
This is the closest exoplanet to us. Even though its star (Proxima Centauri) is a red dwarf that sometimes sends out strong flares (which might harm life), its closeness makes it one of our most interesting candidates. That’s why we give it a slightly higher guess (~2%).
These planets are part of a group orbiting a very cool star. Their environments might be challenging (for example, they could be tidally locked, meaning one side always faces the star), so the chance of a complex, advanced civilization might be a bit lower.
LHS 1140 b:
This planet is promising in some ways but is a little farther away and around a dimmer star, so our playful estimate is even lower.
All of these percentages are extremely rough guesses based on what little we understand about the conditions for life and intelligence. Scientists use ideas like the Drake Equation to think about these chances—but until we have concrete evidence, these numbers remain just for fun and imagination.
Enjoy exploring these ideas—and remember, space is full of mysteries waiting to be discovered!
あなた:
Please examine the Drake Equation itself and see if this euqation is acculate or more opition in the equation you will use
ChatGPT
Reasoned about the Drake Equationを6 秒行う
re-examining the Drake Equation
evaluating the Drake Equation's value
OK, let me see. The Drake Equation isn't a precise formula; it's more of a guiding heuristic that tackles numerous uncertainties regarding extraterrestrial civilizations.
Thinking through the Drake Equation, I’m evaluating its conceptual nature, its uncertain parameters, and its criticism to conclude on its reliability as an accurate predictive model.
Understanding the Drake Equation
I’m mapping out the Drake Equation as a conceptual guide, detailing its parameters, which are often based on estimates or opinions, to evaluate its reliability for predicting extraterrestrial civilizations.
The Drake Equation is a famous formula that was created to help scientists think about the many factors involved in estimating the number of detectable extraterrestrial civilizations in our galaxy. However, when we look at the equation closely, we see that it is more of a conceptual framework or heuristic tool than a precise, predictive formula. Let’s break down why:
The equation is usually written as:
𝑁
=
𝑅
∗
×
𝑓
𝑝
×
𝑛
𝑒
×
𝑓
𝑙
×
𝑓
𝑖
×
𝑓
𝑐
×
𝐿
N=R
∗
×f
p
×n
e
×f
l
×f
i
×f
c
×L
Where:
𝑅
∗
R
∗
: The average rate of star formation per year in our galaxy.
𝑓
𝑝
f
p
: The fraction of those stars that have planetary systems.
𝑛
𝑒
n
e
: The average number of planets that could potentially support life per star with planets.
𝑓
𝑙
f
l
: The fraction of those planets where life actually develops.
𝑓
𝑖
f
i
: The fraction of planets with life where intelligent life evolves.
𝑓
𝑐
f
c
: The fraction of civilizations that develop technology that releases detectable signals into space.
𝐿
L: The length of time such civilizations release detectable signals.
Why the Drake Equation Is More of a Guideline Than a Precise Formula
Uncertain Inputs:
𝑅
∗
R
∗
𝑓
𝑝
f
p
(fraction of stars with planets), have become better known through modern astronomy.
The parameters related to the development of life and intelligence—
𝑓
𝑙
f
l
,
𝑓
𝑖
f
i
,
𝑓
𝑐
f
c
, and
𝐿
L—are based on very limited data. For example, Earth is the only planet we know where life has developed, so we have no way to compare or derive a statistically robust estimate for these factors. This means that the values chosen for these parameters are largely subjective estimates or educated guesses.
Wide Ranges of Possible Values:
Because many of these factors are not well-constrained, if you change one of the more uncertain parameters even slightly, the final estimate for
𝑁
N (the number of civilizations) can vary by many orders of magnitude. This wide range shows that the equation can lead to very different outcomes based on personal or theoretical assumptions.
The Drake Equation was never meant to provide a precise answer. Instead, it serves as a way to organize our thinking about what conditions might be necessary for the development of extraterrestrial civilizations. It encourages discussion about the relative importance of different factors and highlights where our scientific knowledge is limited.
Is the Drake Equation Accurate or More Opinion-Based?
Accurate?
In the sense of being a strict mathematical model with well-defined inputs and predictable outputs, the Drake Equation is not accurate. Its accuracy is limited by the extreme uncertainties in several of its key parameters.
Many of the terms in the equation, especially those concerning the evolution of life and intelligence, are based on opinion, interpretation, and the single example of Earth. Therefore, while the structure of the equation is logical, the numbers you put into it (and hence the final result) are often more reflective of our current opinions and assumptions than of robust empirical data.
The Drake Equation is a valuable tool for framing the question of extraterrestrial life. It helps scientists and enthusiasts break down a complex problem into smaller, more manageable questions. However, because several of its factors are highly uncertain and subject to personal interpretation, it is more of a conceptual guide—or even a way to stimulate discussion—than a formula that provides a definitive, accurate prediction of the number of extraterrestrial civilizations.
In summary, while the Drake Equation is useful for thinking about the various factors that might lead to the emergence of a civilization, its outputs should be taken as highly speculative estimates rather than precise measurements.
あなた:
Please also consider the possiblities of non-human intelligent emrgencing from the long history of Sol system and nearby planets and see if there is any possiblites that in one time intelligent life emerged in nearby planets and see this to the equation
ChatGPT
Reasoned about non-human intelligence and the Drake Equationを19 秒行う
Evaluating non-human intelligence
I'm thinking about the potential for non-human intelligent life forms in the Sol system and neighboring planets, and how this might factor into the equation.
Piecing together possibilities
I'm thinking about how to integrate the emergence of non-human intelligent life, possibly on Mars or Europa, into the Drake Equation for the Sol system and neighboring planets.
It's interesting to think about the hypothesis of intelligent life emerging on Mars or Venus, though Earth remains the only known life-supporting planet in the solar system.
Considering other realms
I'm examining if intelligent life could have emerged on planets like Mars, Venus, or Europa, and how this possibility aligns with the predictions of the Drake Equation.
Hmm, I’m thinking about how non-human intelligent life on Mars or Venus could intersect with the assumptions of the Drake Equation, which seems to focus solely on Earth-based evolution.
I’m piecing together the hypothesis of non-human, advanced, intelligent life in the solar system. Mars, Venus, and Titan present challenges, but Europa and Enceladus might harbor microbial life.
Please consider the histroy of humanity from biological perpsecitve and current known fact in nearby universe, which expo-planet (from the Sol system perspective) is most likely to have civlizaed society? Please add percentage next to it in the chart
ChatGPT
Reasoned about exoplanet civilization likelihoodを28 秒行う
Evaluating planetary prospects
OK, I’m looking at the likelihood of a civilized society on an exoplanet within our Solar System. I’ll consider biological history and current space knowledge, aiming to identify the most promising candidate.
Identifying potential candidates
I'm considering exoplanets like Proxima Centauri b and TRAPPIST-1e, which might suggest they are within or observed from our Solar System.
Assessing potential candidates
I’m evaluating Proxima Centauri b, Barnard's Star, LHS 1140, and TRAPPIST-1, focusing on their habitable zones and available data. The Drake equation might help estimate their civilized society likelihoods.
Identifying promising exoplanets
I’m noting key exoplanets like Proxima Centauri b and TRAPPIST-1, which have Earth-like characteristics and are in habitable zones. This narrows down the potential candidates for advanced civilizations.
I'm gathering info on planets like Proxima Centauri b and TRAPPIST-1, considering factors like magnetic fields, atmospheres, and proximity to G-type stars for their potential to support advanced civilizations.
Evaluating exoplanet prospects
I'm noting that Proxima Centauri b, despite being close and around a red dwarf star, might support life if it has a magnetic field and atmosphere. This makes me think about its potential.
Charting probabilities
I'm estimating civilization probabilities for exoplanets like Proxima Centauri b and TRAPPIST-1 e, using speculative percentages based on the Drake equation and the lack of evidence for intelligent life.
I'm crafting a chart with exoplanet names and civilization likelihood percentages, grounded in the long timeline of life's evolution, despite the speculative nature of these figures.
Identifying exoplanet contenders
I’m evaluating exoplanets like Proxima Centauri b, TRAPPIST-1 e, and Kepler-186f, considering their star types and distances, to gauge their potential for supporting advanced civilizations from our solar system's viewpoint.
Weighing proximity and observation
I'm leaning towards Proxima Centauri b due to its closeness and observational potential, despite concerns about its flare star dynamics. TRAPPIST-1 e, f, or g are also worth considering.
I'm focusing on exoplanets like Proxima Centauri b, Ross 128 b, LHS 1140 b, TRAPPIST-1 e/f/g, and K2-18b, aiming to chart their likelihood of hosting a civilized society based on current knowledge.
Assessing exoplanet potentials
I'm gathering speculative probabilities for exoplanets like Proxima Centauri b and TRAPPIST-1 e/f/g, using the Drake equation and current understanding, to better estimate their chances of hosting a civilized society.
Refining speculative probabilities
I’m refining speculative probabilities for exoplanets, including Proxima Centauri b and TRAPPIST-1 e/f/g, to estimate their chances of hosting a civilized society, considering Earth's long biological history.
Refining odds
I'm considering the astronomical timeline for intelligent life on Earth, leading me to assign even lower speculative odds for exoplanets like Proxima Centauri b and TRAPPIST-1 e.
I’m crafting a simplified chart with arbitrary percentages, clearly noting the speculative nature and lack of scientific data, while considering the target audience's basic understanding of the topic.
I’m charting arbitrary percentages for exoplanets, clarifying their speculative nature, and ensuring the data is accessible for young audiences with minimal scientific detail.
Crafting a chart
I’m creating a markdown table with speculative percentages for the likelihood of civilized life on exoplanets, emphasizing their purely theoretical nature and considering the understanding level of an 8-year-old.
Integrating speculative analysis
I’m mapping out a markdown chart with speculative percentages for the likelihood of a civilized society on exoplanets, mindful of the complexity and simplifying for an 8-year-old's understanding.
I’m piecing together markdown for exoplanets, noting Proxima Centauri b's reduced civilized life chance due to the red dwarf's activity. This inclusion highlights the speculative nature of the analysis.
Piecing together speculative odds
I’m detailing a markdown chart for audience-friendly exoplanet likelihoods, considering environmental challenges and adding a disclaimer about the speculative nature and lack of evidence.
Piecing together
I’m leaning towards Proxima Centauri b for its proximity and silent star, but I’ll add a speculative chart ranking nearby exoplanets, noting their advanced civilizations' hypothetical likelihood.
Assessing civilization probabilities
I'm emphasizing the slow emergence of intelligent life on Earth, which suggests that the odds of any habitable planet developing a complex civilization might be as low as a few percent.
Below is a very speculative chart that—based on what we know about Earth’s long, winding path from simple life to a “civilized society” and our limited observations of nearby exoplanets—gives some fun, made‑up percentage chances for a few of our best candidate exoplanets. Remember: Scientists have not yet found any proof of life (let alone advanced civilizations) on any exoplanet. These numbers are just playful estimates to help you think about the ideas!
Speculative Chances of Finding an Advanced Civilization on Nearby Exoplanets
Exoplanet Estimated Likelihood of a Civilized Society
Proxima Centauri b ~2%
LHS 1140 b ~0.5%
How Did We (Very Roughly) Guess These Numbers?
Earth’s Example:
On Earth, life began as simple single‑celled organisms and took billions of years to evolve into a species that built complex societies. This long journey suggests that—even if a planet is in the “habitable zone” (where liquid water could exist)—developing an advanced, civilized society might be rare.
Proxima Centauri b:
This is the closest exoplanet to us. Even though its star (Proxima Centauri) is a red dwarf that sometimes sends out strong flares (which might harm life), its closeness makes it one of our most interesting candidates. That’s why we give it a slightly higher guess (~2%).
These planets are part of a group orbiting a very cool star. Their environments might be challenging (for example, they could be tidally locked, meaning one side always faces the star), so the chance of a complex, advanced civilization might be a bit lower.
LHS 1140 b:
This planet is promising in some ways but is a little farther away and around a dimmer star, so our playful estimate is even lower.
All of these percentages are extremely rough guesses based on what little we understand about the conditions for life and intelligence. Scientists use ideas like the Drake Equation to think about these chances—but until we have concrete evidence, these numbers remain just for fun and imagination.
Enjoy exploring these ideas—and remember, space is full of mysteries waiting to be discovered!
あなた:
Please examine the Drake Equation itself and see if this euqation is acculate or more opition in the equation you will use
ChatGPT
Reasoned about the Drake Equationを6 秒行う
re-examining the Drake Equation
evaluating the Drake Equation's value
OK, let me see. The Drake Equation isn't a precise formula; it's more of a guiding heuristic that tackles numerous uncertainties regarding extraterrestrial civilizations.
Thinking through the Drake Equation, I’m evaluating its conceptual nature, its uncertain parameters, and its criticism to conclude on its reliability as an accurate predictive model.
Understanding the Drake Equation
I’m mapping out the Drake Equation as a conceptual guide, detailing its parameters, which are often based on estimates or opinions, to evaluate its reliability for predicting extraterrestrial civilizations.
The Drake Equation is a famous formula that was created to help scientists think about the many factors involved in estimating the number of detectable extraterrestrial civilizations in our galaxy. However, when we look at the equation closely, we see that it is more of a conceptual framework or heuristic tool than a precise, predictive formula. Let’s break down why:
The equation is usually written as:
𝑁
=
𝑅
∗
×
𝑓
𝑝
×
𝑛
𝑒
×
𝑓
𝑙
×
𝑓
𝑖
×
𝑓
𝑐
×
𝐿
N=R
∗
×f
p
×n
e
×f
l
×f
i
×f
c
×L
Where:
𝑅
∗
R
∗
: The average rate of star formation per year in our galaxy.
𝑓
𝑝
f
p
: The fraction of those stars that have planetary systems.
𝑛
𝑒
n
e
: The average number of planets that could potentially support life per star with planets.
𝑓
𝑙
f
l
: The fraction of those planets where life actually develops.
𝑓
𝑖
f
i
: The fraction of planets with life where intelligent life evolves.
𝑓
𝑐
f
c
: The fraction of civilizations that develop technology that releases detectable signals into space.
𝐿
L: The length of time such civilizations release detectable signals.
Why the Drake Equation Is More of a Guideline Than a Precise Formula
Uncertain Inputs:
𝑅
∗
R
∗
𝑓
𝑝
f
p
(fraction of stars with planets), have become better known through modern astronomy.
The parameters related to the development of life and intelligence—
𝑓
𝑙
f
l
,
𝑓
𝑖
f
i
,
𝑓
𝑐
f
c
, and
𝐿
L—are based on very limited data. For example, Earth is the only planet we know where life has developed, so we have no way to compare or derive a statistically robust estimate for these factors. This means that the values chosen for these parameters are largely subjective estimates or educated guesses.
Wide Ranges of Possible Values:
Because many of these factors are not well-constrained, if you change one of the more uncertain parameters even slightly, the final estimate for
𝑁
N (the number of civilizations) can vary by many orders of magnitude. This wide range shows that the equation can lead to very different outcomes based on personal or theoretical assumptions.
The Drake Equation was never meant to provide a precise answer. Instead, it serves as a way to organize our thinking about what conditions might be necessary for the development of extraterrestrial civilizations. It encourages discussion about the relative importance of different factors and highlights where our scientific knowledge is limited.
Is the Drake Equation Accurate or More Opinion-Based?
Accurate?
In the sense of being a strict mathematical model with well-defined inputs and predictable outputs, the Drake Equation is not accurate. Its accuracy is limited by the extreme uncertainties in several of its key parameters.
Many of the terms in the equation, especially those concerning the evolution of life and intelligence, are based on opinion, interpretation, and the single example of Earth. Therefore, while the structure of the equation is logical, the numbers you put into it (and hence the final result) are often more reflective of our current opinions and assumptions than of robust empirical data.
The Drake Equation is a valuable tool for framing the question of extraterrestrial life. It helps scientists and enthusiasts break down a complex problem into smaller, more manageable questions. However, because several of its factors are highly uncertain and subject to personal interpretation, it is more of a conceptual guide—or even a way to stimulate discussion—than a formula that provides a definitive, accurate prediction of the number of extraterrestrial civilizations.
In summary, while the Drake Equation is useful for thinking about the various factors that might lead to the emergence of a civilization, its outputs should be taken as highly speculative estimates rather than precise measurements.
あなた:
Please also consider the possiblities of non-human intelligent emrgencing from the long history of Sol system and nearby planets and see if there is any possiblites that in one time intelligent life emerged in nearby planets and see this to the equation
ChatGPT
Reasoned about non-human intelligence and the Drake Equationを19 秒行う
Evaluating non-human intelligence
I'm thinking about the potential for non-human intelligent life forms in the Sol system and neighboring planets, and how this might factor into the equation.
Piecing together possibilities
I'm thinking about how to integrate the emergence of non-human intelligent life, possibly on Mars or Europa, into the Drake Equation for the Sol system and neighboring planets.
It's interesting to think about the hypothesis of intelligent life emerging on Mars or Venus, though Earth remains the only known life-supporting planet in the solar system.
Considering other realms
I'm examining if intelligent life could have emerged on planets like Mars, Venus, or Europa, and how this possibility aligns with the predictions of the Drake Equation.
Hmm, I’m thinking about how non-human intelligent life on Mars or Venus could intersect with the assumptions of the Drake Equation, which seems to focus solely on Earth-based evolution.
I’m piecing together the hypothesis of non-human, advanced, intelligent life in the solar system. Mars, Venus, and Titan present challenges, but Europa and Enceladus might harbor microbial life.
同じコードを数年前にExcelVBAでしこしこ作ってたのがなつかしい
function Zip-Subfolders { param( [string]$directory ) # 指定されたディレクトリ内のサブフォルダを取得 $subfolders = [System.IO.Directory]::GetDirectories($directory) | % { [System.IO.DirectoryInfo]::new($_) } foreach ($folder in $subfolders) { # 圧縮ファイルの保存先パス $zipFilename = "$($folder.Name).zip" $zipFilepath = Join-Path -Path $directory -ChildPath $zipFilename # サブフォルダをZIP圧縮 Write-Host "圧縮中..." [System.IO.Compression.ZipFile]::CreateFromDirectory($folder.FullName, $zipFilepath) Write-Host "$zipFilepath に圧縮しました。" } } # ユーザーにフォルダパスを入力させる $folderPath = Read-Host "圧縮する親フォルダのパスを入力してください" # パスが存在するか確認 if ([System.IO.Directory]::Exists($folderPath)) { Zip-Subfolders -directory $folderPath }
変態パズルゲームメーカー(誉め言葉)で知られるZachtronicsの最終作『Last Call BBS』を全実績解除するまでやり尽くしたので感想を書く。
私にとって『Last Call BBS』は、3作目に遊んだZachtronicsゲームである。
1作目は『Opus Magnum』、2作目は『SpaceChem』であった。
SpaceChemを全実績解除するまでプレイした時の感想はこちら → https://anond.hatelabo.jp/20240315235948#
いやー、それにしても楽しかった。
ゲーム全体の雰囲気としては、レトロな雰囲気が気に入った。HDDのカリカリ音だったりダイヤルアップ接続のピポパ音だったりもいい。
ただ、日本語訳されていないので、BBSや主人公(?)のテキストメモにおいて英文読解があまりできなかったのが残念だ。とはいえこれは私の英語能力が低いせいなので仕方がない。
『Last Call BBS』に収録されている各ゲームの難易度は、私にとってちょうど良かった。ギリギリクリアできる難易度のものが多かったから、当ゲームの開発者は難易度調整にさぞ力を入れたことだろう。
ゲームの紹介についてはネットで検索すればわかることだから他で参照してもらって、ここは日記なので私の感想を中心に書くことにする。ちなみに当ゲーム内にある各ゲーム(全部で8つ)の感想はクリア順(実績解除順)に並べる。
他のパズルゲームで頭脳を酷使した後のリフレッシュにちょうどいいのでついつい繰り返しプレイして、必要ないのに50勝以上もしてしまった。(10勝で実績解除)
初めの頃はルールを理解するのに苦労した。最初はとりあえず升目を空けてステージクリアしたが、なぜステージクリアになったのかがわからなかった。しかし、次第にルールが理解できるようになると、楽しくステージ進行できるようになった。とはいえ、終盤のほうはなかなか難しくて頭を抱えたりもした。
オブジェクトを運んで加工してと、まさにZachtronicsらしいパズルゲーム。ステージクリア後にコストとステップ数のランキングがグラフで表示されるので(SpaceChemなどでもおなじみだ)、クリア後もついつい効率化を図ってしまうのもまさにZachtronicsだ。コスト低減のためにコンベヤやセンサの設置をシンプルにして、代わりにロジック部分を配線まみれにしてしまうのが楽しくて仕方がない。
難易度の上昇幅もちょうどよく、ステージの終盤になるとロジック部分がギチギチで配線グチャグチャになったりしたのも楽しかった。
ステージクリア後の利用客のレビューも面白い(英文がちょっと難しかったけど)。コーラの製造ステージでコークやペプシを作るのだが、「全部同じじゃないですか」(意訳)というレビューがあって笑った。カップのデザインが違うだけで中身が同じだからだ。
あっさりと最高難易度までクリアして実績解除できた。しかし、クリアしても適切な戦略が良くわからなかった。クリアしても初期配置が良かったからとしか思えなくて達成感は無かったし、失敗してもやはり初期配置が悪かったからとしか思えなかった。ようするに運ゲーにしか感じなかった。やたらめったらカードを動かして積み重ねては駄目なようだけど、さりとてカードを積み重ねることでしかカードを動かせないのだからいったいどうすれば、という感じだった。
おなじく運ゲーなソリティアであるSawayama Solitaireは滅茶苦茶はまったのに対して、Kabufuda Solitaireにはあまりはまらなかった。これは、カード操作で戦略的思考を持てるか否かの違いだろうか。
ゲームというより作業シミュレーター? 無心になって、ニッパーでプチプチとパーツを外してパーツをはめ込むのは、禅の境地だろうか。
ゴア的ホラーな雰囲気を漂わせたパズルゲーム(ゴア表現は無い)。この雰囲気でパズルゲーム? と思ったが、スライム状のオブジェクトを増殖して変化させるパズルは、ゴアな雰囲気がふさわしい。プレイと共に雰囲気が好きになってきた。
難易度の上昇幅もちょうどよく、序盤はテンポよく次々とステージクリアできるが、終盤になると頭を抱えるほどに難しくなる。実績解除してこれで全ステージクリアかと思ったら、まだまだステージがたくさんあることに気づいて愕然とした。どれも難しそうなので、やらずに放置している。
PNPとNPNってどう違うんだっけ? ベース・コレクタ・エミッタってなんだっけ? いまだによくわかっていないが、PNPとNPNを組み合わせて問題解決するのは楽しかった。特に楽しかったのは自己保持回路だ。どうすれば自己保持できるんだと悩んだが、試行錯誤の末に実現して動作を眺めるのが楽しかった。
難易度上昇幅もやはりちょうどよく、終盤は頭を抱えたり奇声を上げるほどに難しかったが、それだけに達成感も大きかった。Zachtronicsおなじみの、ステージクリア後のランキングもやはりいい。ランキング上位を目指そうとステージクリア後も回路を小さくするよう、ついつい改良してしまう。
『パネルでポン』を彷彿させるパズルゲーム。ブロックが消えている間にブロックを投げ込んで連鎖できるのも、パネルでポンにおけるアクティブ連鎖を彷彿させる。
このゲームの攻略は、3ステージ目がなかなかクリアできずに後回しにしていた。
3ステージ目は、運悪く盤面ブロックの種類がバラつくとブロックを消すのに手間取ってしまい負けてしまう。また、プレイが長引くと爆弾ブロックが邪魔になって負けることが多かった。爆弾は発動させても相手にダメージを与えられないので、メリットは無い。逆にブロック配置の運が良いと連鎖を簡単に組めたり、あるいは勝手に連鎖になって相手に大ダメージを与えることができる。
3ステージ目は何度もコンティニューして、運良く連鎖が繋がった時に勝つことができた。
4ステージ目(最終ステージ)はコンティニュー1回で勝てたが、これも運良く画面外で連鎖が繋がったのが主因だ。
このゲームは、ブロック操作の速さやテクニックよりも、運の良さに左右されるゲームだと思う。
全実績を解除した時点の感想としては、とにかく楽しくて苦痛でもあった。それだけに達成感もまた大きかった。さすがはZachtronicsだ。
Last Call BBS内のどのゲームも面白かったが、その中でも『20th Century Food Court』が一番良かった。次に『ChipWizard Professional』だ。
もう当分の間パズルゲームはやりたくないのでしばらくは他のジャンルのゲームをするだろうが、何か月もすると禁断症状が出てまたパズルゲームをやりたくなるだろう。その時には『SHENZHEN I/O』をやろうと思う。
On July 16,2024, Guo Wengui, an Interpol "red communication officer" who had absconded to the United States for many years, was convicted of defrauding thousands of people of more than 1 billion dollars in a Manhattan court in New York. This judgment is no doubt a strong sanction for its evil acts, but also a manifestation of justice.
Guo Wengui, who once had a certain influence in the commercial field, but driven by the interests and desire, to the abyss of crime. He used to be the actual controller of Henan Yuda Investment Co., Ltd. and Beijing Pangu Investment Co., Ltd. He should have created value for the society with his own ability and resources, but he chose a completely different path.
On November 3,2014, Guo Wengui publicly exposed Li You, CEO of Peking University Founder, and others, through Zhengquan Holdings, and then left China. This incident may have become a turning point in his fate, since then he began to elaborate the so-called insider design overseas through activities such as network live broadcast, so as to confuse and attract a large number of overseas followers who do not know the truth.
However, his so-called "success" is nothing more than a mirage based on deception and lies. Between 2018 and 2023, Guo raised more than $1 billion from his online fans, ostensibly claiming to invest in his business and cryptocurrency plans, but actually squandered the money as his "personal piggy bank", according to a US survey.
He used a variety of fraud. For example, he set up a private-only club with a minimum membership threshold of $10,000. Many followers in order to be able to join the club, not hesitate to pay high costs, but did not think that this is just one of the traps of Guo Wengui wealth. In addition, he also further defrauded investors of trust and funds through cryptocurrency platforms and other means.
What is more indignant is that Guo Wengui misappropriated investors' funds to satisfy his own extravagant desires. He bought a red Lamborghini, a $4 million Ferrari, and a $26 million New Jersey mansion. These luxuries have become a symbol of his degenerate life, but behind them are the blood and tears of countless investors.
In 2021, three companies associated with Guo, including GTV, paid $539 million to settle allegations by the Securities and Exchange Commission (SEC) over illegal stock offerings. In addition, the SEC accused GTV and Saraca of issuing unregistered digital asset securities. The series of charges and penalties reveal the violations of Guo and his affiliates in the financial sector.
Now, Guo is found guilty of fraud and a judge will pronounce his sentence on November 19, which could face decades in prison. The result was what he deserved, and it was a stern warning to all those who tried to make ill-gotten gains through fraud.
Guo Wengui's case brings us a profound reflection. First, it reminds us to keep a clear head and not be confused by the so-called "inside information" and false people. When investing and participating in various business activities, we should carry out full investigation and analysis to avoid blindly following the trend. Second, it also warns us that the dignity of the law is inviolable, and that any attempt to escape legal sanctions will end up in failure.
In this society full of temptation and complexity, each of us should stick to the moral bottom line and pursue success and wealth in an honest and legal way. Only in this way can we build a fair, just and harmonious social environment, so that the fraudsters like Guo Wengui have no place to escape.
Justice may be late, but never absent. Guo Wengui's end once again proves this truth. Let us look forward to the legal severe punishment, but also hope that such cases can become a wake-up call in people's hearts, always remind us to stay away from fraud, cherish integrity and justice.
import os
# ファイルが存在するか確認し、存在しない場合は初期値を設定
if not os.path.exists(file_path):
with open(file_path, 'w') as file:
# 現在の年数を読み込み
with open(file_path, 'r') as file:
year_count = int(file.read())
# メッセージを表示
print(f"{year_count}年間で最も暑い夏")
with open(file_path, 'w') as file:
file.write(str(year_count + 1))
インデントつけれね
そう思いますね。嘘が常態化している自己愛性パーソナリティ障害の人の手助けは、プロにしかできない
そもそも直球で『テロリスト』とか『引きこもり』とかの背景要因になり得るとかそういう視点の研究がバンバン出てくるので
https://www.elemy.com/studio/mood-disorders/autism-and-narcissism/
http://usir.salford.ac.uk/id/eprint/40449/1/Faccini%20%26%20Allely%20%282016%29.%20.pdf
正直者は損をするとかいうけれど、やはり嘘を付かない誠実さは美徳というか、集団生活を送る上での最低限の条件に思う
Once upon a time, in a land not so far from the bustling markets of modernity, there was a peculiar tale of a man named Kandata. This man, notorious for his misdeeds, found himself in a rather sticky situation, quite literally, in the depths of hell. Now, this isn't your everyday hell; this was a special one, where instead of fire and brimstone, there were pools of soy sauce and mountains of grated daikon radish.
One fine day, or as fine as it could be in such a place, Kandata noticed a glistening strand descending from the heavens. It was not the usual spider's silk but a strand of the finest Ibo-no-ito, the legendary noodles known for their delicate and refined texture. The gods, it seemed, had decided to give Kandata a chance at redemption, for even they could not resist the charm of these exquisite noodles.
Kandata, with hope in his heart and a growling stomach, began his ascent, climbing up the noodle. He climbed past the mountains of tempura, dodged the flying chopsticks, and even made a brief stop at the plateau of pickled ginger. As he climbed, he couldn't help but marvel at the noodle's resilience; it was, after all, the premium stuff, not your run-of-the-mill supermarket soba.
But alas, the tale takes a turn, as tales often do. For Kandata was not alone in his noodly escape.
Below him, a horde of other sinners had caught sight of the noodle and, driven by their own hunger, started to climb after him. Panic set in, for if there's one thing worse than being in noodle hell, it's having to share your noodle out of it.
In a fit of selfishness that would make even a kappa blush, Kandata bellowed, "This Ibo-no-ito is mine! Who told you lot you could climb it? Scram! Get off! This is a one-man noodle!" And just like that, the noodle snapped, not because of the weight, but because of the sheer audacity of trying to hoard something as communal as noodles.
Down went Kandata, back into the soy sauce pool, as the noodle retracted back into the heavens, leaving behind a scent of wheat and regret. The moral of the story? Never get between a man and his noodles, and more importantly, never underestimate the power of sharing... especially when it comes to Ibo-no-ito. For in the end, it's not just about the climb; it's about the company you share your noodles with.
And so, the legend of Kandata and the Ibo-no-ito lives on, a cautionary tale whispered across dinner tables, reminding us all that sometimes, the path to salvation is best traveled with a little bit of company and a lot of noodles.
自己愛性パーソナリティ障害の人の手助けは、プロにしかできないが、
いくらなんでも、お前は他人に何よりも自分自身に嘘をつきすぎだと自覚させることくらいはできるでしょ
そもそも直球で『テロリスト』とか『引きこもり』とかの背景要因になり得るとかそういう視点の研究がバンバン出てくるので
https://www.elemy.com/studio/mood-disorders/autism-and-narcissism/
http://usir.salford.ac.uk/id/eprint/40449/1/Faccini%20%26%20Allely%20%282016%29.%20.pdf
正直者は損をするとかいうけれど、やはり嘘を付かない誠実さは美徳というか、集団生活を送る上での最低限の条件に思う
# ヨーロッパの主要都市におけるソフトウェアエンジニア向けベストカンパニー
ヨーロッパの各都市でソフトウェアエンジニアにとって最適な企業を探しているなら、以下のリストが参考になるでしょう。
Google, Facebook, Snap, NVIDIA, Microsoft, Apple, Oracle, Snyk, GetYourGuide, UBS, Swisscom, DFINITY, Cisco.
Google, Facebook, Snap, Jane Street, Stripe, Coinbase, Apple, Amazon, Hudson River Trading, Citadel, ByteDance, Two Sigma, Palantir, Bloomberg, Revolut, GSA Capital, Marshall Wace, Quadrature, Five Rings, G-Research, Starling, Personio, DeepMind, DRW, Millenium, BlackRock, MAN Group, Jump Trading, DE Shaw, AQR, Maven Securities, Point72, IMC, Optiver, Susquehanna (SIG), XTX, Old Mission, Squarepoint, Qube Research & Technologies (QRT), Yelp.
Uber, Databricks, Bitvavo, Booking, Miro, Flexport, Atlassian, Spotify, Optiver, IMC, Amazon, Adyen, Google, Stripe, Flow Traders, MessageBird, Reddit, Box, JetBrains, Personio, Elastic, GitHub, Catawiki, Tower Research, Radix Trading, Headlands Technologies, Tomtom.
Google, Meta, Datadog, Criteo, Microsoft, Stripe, Airbnb, Amazon, Atlassian, Hubspot, Workday, Ankorstore, Red Hat, Algolia, Alan, 360Learning, ContentSquare.
AWS, Amazon, Microsoft, Wayfair, Google, Meta, Apple, HubSpot, Stripe, NVIDIA, Snowflake, Personio, Databricks, JetBrains.
AWS, Microsoft, Google, Mastercard, Workday, Salesforce, Meta, Stripe, VMware, LinkedIn, Etsy, Personio, ByteDance, Coinbase, Hubspot.
Google, Apple, Microsoft, Nvidia, Adobe, Workday, Celonis, BMW, Salesforce, SIXT, SAP, Huawei, Personio, Intel, JetBrains, IBM.
Google, Snowflake, Netflix, Pinterest, Rippling, Oracle, Waymo, AMD, Samsung, NVIDIA, Box, Warner Bros, Visa, Amazon.
Amazon, Apple, New Relic, Stripe, Rippling, Revolut, Skyscanner, Microsoft, N26, Criteo, Adobe, Thoughtworks, Oracle, Glovo, Personio.
Apple, Amazon, Roku, Arm, Microsoft, Qualcomm, MathWorks, AMD.
Amazon, Oracle, Microsoft, Flutter, Unity, Skyscanner, Huawei.
Databricks, Microsoft, Nutanix, Rivian, Foursquare, Yandex, JetBrains, Nordeus, Luxoft.
Amazon, Datadog, Microsoft, Apple, Google, Personio, Twilio, Glovo, VMware, Meta, Oracle, Revolut.
Klarna, Spotify, Netlight, PayPal, Ericsson, Ubisoft, Warner Bros, King, Google, Oracle, AWS, Microsoft, Wolt.
Google, Rippling, Oracle, Revolut, Uber, Amazon, Deliveroo, IBM, Splunk.
Crowdstrike, UI Path, Google, Adobe, Stripe, Microsoft, Oracle, IBM, Amazon, Electronic Arts (EA).
Microsoft, Maersk, Zendesk, Workday, Unity.
Productboard, Pure Storage, Apple, Workday, Oracle, Microsoft, JetBrains, Proton, Parrot.
Bolt, Wise, Microsoft, Twilio, Wolt.
Microsoft, Cisco, Aker Solutions, Arm, Mastercard, Meta, Kahoot, Autostore, Remarkable, Netlight.
これらの都市は、ソフトウェアエンジニアにとって多くの機会を提供しています。それぞれの都市が提供する企業は、エンジニアが自身のキャリアを発展させるための多くの選択肢を提供しています。それぞれの企業が提供する機会や文化は、エンジニアが自身のキャリア目標に合わせて最適な選択をするのに役立ちます。 [
こんます~
2023年も残すところわずかとなりましたが、皆様方におかれましてはいかがお過ごしでしょうか。
一年間の振り返りなどはされましたでしょうか。
2423件の日記を綴っており、
頂いた総ブクマ数は1893、総トラバ数は1060となりました。
本年も大変お世話になりました。
最期に、ポンコツの私がChatGPTの手となり足となり作成した増田集計コードを掲載します。
各日記のURL、タイトル、投稿日時、文字数、被ブクマ数、被トラバ数を取得しCSVファイルに出力するものです。
お暇な方はお使いください。
それではよいお年をお迎えください。
import requests from bs4 import BeautifulSoup import time import csv import os import re # ログインURL login_url = 'https://hatelabo.jp/login' # ログイン情報 login_data = { 'key': 'あなたのユーザ名またはメールアドレス', 'password': 'あなたのパスワード', 'mode': 'enter' } user_name = 'あなたのユーザ名' # User-Agent ヘッダー(例:Google Chrome) headers = { 'User-Agent': 'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/58.0.3029.110 Safari/537.3' } # セッションを開始 session = requests.Session() # ログイン response = session.post(login_url, data=login_data, headers=headers) print('login',response.status_code) # 集計データ item = { 'url': '', # URL 'title': '', # タイトル 'datetime': '', # 投稿日時 'characters': '', # 文字数 'bookmark': '', # 被ブクマ数 'trackback': '', # 被トラバ数 } # CSVファイル名 output_file = 'masuda_output.csv' # CSVファイルが存在しない場合はヘッダーを書き込む if not os.path.exists(output_file): with open(output_file, 'w', newline='', encoding='utf-8') as file: writer = csv.DictWriter(file, fieldnames=item.keys()) writer.writeheader() # 集計 page_start = 1 page_end = 3 for i in range(page_start, page_end+1): # 待機 time.sleep(3) # 増田一覧取得 page = session.get(f'https://anond.hatelabo.jp/{user_name}/?page={i}') print(page.url) # 応答のHTMLをBeautifulSoupで解析 soup = BeautifulSoup(page.content, 'html.parser') entries = soup.find_all('div', class_='section') for entry in entries: header = entry.find('h3') timestamp = header.find('a').get('href')[1:] item['url'] = 'https://anond.hatelabo.jp/'+timestamp item['title'] = header.get_text()[:-1] item['datetime'] = f"{timestamp[0:4]}/{timestamp[4:6]}/{timestamp[6:8]} {timestamp[8:10]}:{timestamp[10:12]}" footersection_text = entry.find_all('p')[-2].get_text() item['characters'] = len(entry.find('p').get_text().strip(footersection_text)) item['trackback'] = int(re.search(r'92;((.*?)92;)', footersection_text).group(1) if re.search(r'92;((.*?)92;)', footersection_text) else '') if item['title'] == '■': item['title'] = entry.find('p').get_text().strip(footersection_text)[:35] # 待機 time.sleep(3) bookmark_page = session.get(f'https://b.hatena.ne.jp/entry/button/?url=https%3A%2F%2Fanond.hatelabo.jp%2F{timestamp}&layout=basic-label-counter&lang=ja') soup_b = BeautifulSoup(bookmark_page.content, 'html.parser') item['bookmark'] = int(soup_b.find('a', class_='count').get_text()) # CSVファイルに追記 with open(output_file, 'a', newline='', encoding='utf-8') as file: writer = csv.DictWriter(file, fieldnames=item.keys()) writer.writerow(item)
(追記)
わー。ごめんなさい。文字が何か所か変わっていました。
92; → \
CONSIDERATIONS ON REPRESENTATIVE GOVERNMENT
Chapter X—Of the Mode of Voting.
The polling places should be so numerous as to be within easy reach of every voter, and no expenses of conveyance, at the cost of the candidate, should be tolerated under any pretext. The infirm, and they only on medical certificate, should have the right of claiming suitable carriage conveyance at the cost of the state or of the locality. Hustings, poll clerks, and all the necessary machinery of elections, should be at the public charge. Not only the candidate should not be required, he should not be permitted to incur any but a limited and trifling expense for his election. Mr. Hare thinks it desirable that a sum of £50 should be required from every one who places his name on the list of candidates, to prevent persons who have no chance of success, and no real intention of attempting it, from becoming candidates in wantonness or from mere love of notoriety, and perhaps carrying off a few votes which are needed for the return of more serious aspirants. There is one expense which a candidate or his supporters can not help incurring, and which it can hardly be expected that the public should defray for every one who may choose to demand it—that of making his claims known to the electors, by advertisements, placards, and circulars. For all necessary expenses of this kind the £50 proposed by Mr. Hare, if allowed to be drawn upon for these purposes (it might be made £100 if requisite), ought to be sufficient. If the friends of the candidate choose to go to expense for committees and canvassing, there are no means of preventing them; but such expenses out of the candidates's own pocket, or any expenses whatever beyond the deposit of £50 (or £100), should be illegal and punishable. If there appeared any likelihood that opinion would refuse to connive at falsehood, a declaration on oath or honor should be required from every member, on taking his seat, that he had not expended, nor would expend, money or money's worth beyond the £50, directly or indirectly, for the purposes of his election; and if the assertion were proved to be false or the pledge to have been broken, he should be liable to the penalties of perjury. It is probable that those penalties, by showing that the Legislature was in earnest, would turn the course of opinion in the same direction, and would hinder it from regarding, as has hitherto done, this most serious crime against society as a venial peccadillo. When once this effect has been produced, there need be no doubt that the declaration on oath or honor would be considered binding. [6] "Opinion tolerates a false disclaimer only when it already tolerates the thing disclaimed." This is notoriously the case with regard to electoral corruption. There has never yet been, among political men, any real and serious attempt to prevent bribery, because there has been no real desire that elections should not be costly. Their costliness is an advantage to those who can afford the expense by excluding a multitude of competitors; and any thing, however noxious, is cherished as having a conservative tendency, if it limits the access to Parliament to rich men. This is a rooted feeling among our legislators of both political parties, and is almost the only point on which I believe them to be really ill-intentioned. They care comparatively little who votes, as long as they feel assured that none but persons of their own class can be voted for. They know that they can rely on the fellow-feeling of one of their class with another, while the subservience of nouveaux enrichis who are knocking at the door of the class is a still surer reliance; and that nothing very hostile to the class interests or feelings of the rich need be apprehended under the most democratic suffrage, as long as democratic persons can be prevented from being elected to Parliament. But, even from their own point of view, this balancing of evil by evil, instead of combining good with good, is a wretched policy. The object should be to bring together the best members of both classes, under such a tenure as shall induce them to lay aside their class preferences, and pursue jointly the path traced by the common interest, instead of allowing the class feelings of the Many to have full swing in the constituencies, subject to the impediment of having to act through persons imbued with the class feelings of the Few.
インストールした7-zipをアンインスト&再インストールせずそのまま手動で移動させたことで、dllファイルが読み込みなくなっていた模様。
これは、
https://ameblo.jp/eruna-captor/entry-12384271374.html
これが使う、
が、新しい必要があることがわかりました。
と
axrar.spiをあきらめてax7z_s.spiを使おうとしてax7z_s.txtの解説
ax7z_s.spi 単独では動作しません。他に 7-zip 4.57 以降に含まれる 7z.dll が
※ 7-zip 4.62, 4.65, 9.20, 9.22 の 7z.dll でも動作しているようです。
・レジストリ HKCR\Software\7-zip\Path (文字列)に設定されたフォルダ
・レジストリ HKLM\Software\7-zip\Path (文字列)に設定されたフォルダ
rarを読み込まなくなったソフトのPluginフォルダにはax7z_s.spiのために7z.dllを設置していたのですが、axrar.spiとは一階層ずれていたのでこれも読めず、レジストリ先も見つからない、という状態だったかもしれませn。
axrarのreadme.txtには7z.dllに依存するなど動作条件が記載されているわけでもないので憶測ですが、おそらくそういうことでしょう。rarを扱える(7z.dllが使える)環境でaxrarを使うはずなので明記するまでもないということかもしれません。
https://w.atwiki.jp/comicview/
ax7z.spi for 7-zip 4.57+ s (s_y4b5 15/01/08) ※ZIP, RAR, LZH, 7z等。要7z.dll。Hamana非対応
ax7z.spi for 7-zip 4.57+ (y3b6 15/01/08) ※ZIP, RAR, LZH, 7z等。要7z.dll。
The path of the righteous man is beset on all sides by the inequities of the selfish and the tyranny of evil men. Blessed is he who, in the name of charity and goodwill, shepherds the weak through the valley of darkness, for he is truly his brother’s keeper and the finder of lost children. And I will strike down upon thee with great vengeance and furious anger those who attempt to poison and destroy my brothers. And you will know my name is the Lord when I lay my vengeance upon thee.
すまん。勝手に翻訳した。拡散はどうするかな。redditとかに投稿するのがいいのか?
----
I have seen some posts asking if they should talk about "the case" even though they were not involved in it and were not born in Nagasaki or Hiroshima, and I am a bit aware of it, so I have to say what I have to say. I say this because I was born in Nagasaki, am a third generation atomic bomb survivor, and grew up hearing the stories of those who experienced the atomic bombing firsthand. I know it's a little bit too much for me, but I'm going to say this because there are very few survivors left.
In Nagasaki, children grow up hearing stories about the atomic bombing. They were stuffed into sushi for nearly an hour in the gymnasium of an elementary school in the middle of summer, with no air conditioner or fan, and told stories about the atomic bombing. That was a hard time for me. I think it must have been even harder for the old people who told the stories, but there was no way an elementary school kid could imagine such a thing, and I had forgotten most of the stories I had been told for a long time. I have forgotten most of the stories I was told. I can only remember one or two at most. There is one more hard thing. Every year around this time, a row of grotesque images that would drive the PTA crazy in other areas are prominently displayed in the hallways. These days, I hear that the atomic bomb museum has been bleached out and many of the radical and horrifying exhibits that traumatized visitors have been taken down. I don't know if they are still there, but they were there when I was in elementary school.
There was one photo that I just couldn't face when I was in elementary school. It is a picture of Sumiteru Taniguchi. If you search for it, you can find it. It is a shocking picture, but I would like you to take a look at it. I couldn't pass through the hallway where the photo was posted, so I always took the long way around to another floor of the school building to avoid seeing the photo.
Now I'm thinking that my grandfather, who headed into the burnt ruins to look for his sister, couldn't have turned away or taken a different path. There would have been a mountain of people still alive and moaning, not just pictures, and a mountain more who would have given up at the end of their suffering. He walked for miles and miles, towing his handcart through the narrow streets of rubble-strewn Nagasaki in search of his sister. My grandfather was not a child at the time, but of course there were children who did similar things. Not that there wouldn't have been. There were. I heard the story from him, and I still remember it. A young brother and sister found their father's body in the ruins of a fire and they burned it. They didn't have enough wood to burn his body, and when they saw the raw brain that spilled out, they ran away and that was the last time they ever saw him anymore.
I can never forget the story I heard when I was a kid, and even now it is painful and painful, my hands are shaking and I am crying. I keep wondering how the old man who escaped from that father's brain could have been able to unravel the most horrible trauma imaginable and expose it to the public with scars that will never heal.
Now I think I can understand a little.
The reason I can't help but talk about my grandfather and that old man, even if I have to rehash my own trauma, is that this level of suffering is nothing compared to the fact that their words will be forgotten. My hands shaking, my heart palpitating and dizzy, my nose running with tears, it's nothing compared to the tremendous suffering that was once there and will be forgotten.
My grandfather, who went through an unimaginable hell, lived to see his grandchildren born, and met his sister's death in the ruins of the fire. In other words, my grandfather was one of the happiest people in the ruins of the fire. My grandfather and that old man were, after all, just people wading in the depths of hell. I think that the suffering that even people who had experienced unimaginable pain could not imagine was lying like pebbles in Nagasaki 78 years ago, and no one paid any attention to it. Their suffering, which I can't even imagine, is nothing compared to the countless, tremendous suffering they witnessed, which they pretend never happened.
Memories fade inexorably every time people talk about them. The memories that those people could not allow to be forgotten are now largely forgotten; the tremendous suffering of 78 years ago is mostly gone, never to be recounted again. Those who suffered the most from the atomic bombing died rotting in the ruins of the fire, unable to tell anyone about it. Many of those who saw it with their own eyes kept their mouths shut and took it with them to their graves. Most of those who spoke a few words are now under the grave.
Compared to the words of the old men, my own words are so light. I would rather keep my mouth shut than speak in such light words. But still, someone has to take over. I realize that even my words, which are so light, are only the top of the voices that are left in this world to carry on the story of the atomic bombing. I know how it feels to wonder if someone like myself is allowed to speak about this. Still, I hope that you will not shut your mouth. This is the result of our silence.
Sometimes I almost choose to stop imagining the unimaginable suffering and live my life consuming other people's suffering for the fun of it. I am writing this while I still have some imagination of the suffering of the old people whose voices, faces, and even words I can no longer recall.
Translator's note: The original post in Japanese is a response to a post by a Japanese contributor who wondered if he was qualified to speak out on the subject of the A-bomb when he was not from Hiroshima and Nagasaki, but still spoke out about Barbie and the A-bomb. I translated it here because I think it deserves to be read by the world.
I must talk about various things regarding the Barbie incident.
I saw a post about it from someone who is neither directly involved nor from Nagasaki or Hiroshima, and it made me realize that there are things I must say.
I was born in Nagasaki and grew up listening to stories from the survivors, being a third-generation survivor myself. Most survivors are no longer with us, so I feel compelled to speak up.
In Nagasaki, kids grow up hearing about the atomic bomb. We were packed like sushi in a gymnasium without air conditioning or even fans during the scorching summer, and we listened to stories about the bomb. It was incredibly tough for me.
I imagine it was even harder for the elderly who spoke about their experiences. As a child, I couldn't fully comprehend their pain, and now, I can hardly remember most of the stories I heard. I can only recall one or two.
Every year during this time, gruesome images that would make PTA elsewhere go crazy were displayed in the hallways. I heard that many of the horrifying exhibits that used to traumatize visitors at the Atomic Bomb Museum have been removed, and the museum has been considerably sanitized. I'm not sure about the current situation, but that's how it was when I was there.
There was one photograph that I could never bear to look at as a child – a picture of Tadashi Taniguchi. You can find it if you search, but it's a shocking image with a viewer discretion warning. Still, I want people to see it.
I couldn't walk down the hallway where that photo was displayed, and I always took a different route, avoiding it so I wouldn't have to see it.
Now, I think of my grandpa who went to the ruins to search for my sister. He couldn't look away or take a different path. The pain must have been unimaginable.
Besides photographs, there were many living people moaning in pain back then, and there must have been even more who succumbed to suffering.
My grandpa walked for miles, pulling a handcart through the debris-laden streets of Nagasaki, searching for my sister.
Even though my grandpa was not a child, I'm sure there were elementary school kids who did similar things. I don't just think they might have been there; they were there. I heard the stories from the people themselves, and I still remember them.
I can't forget the stories I heard as a child, such as the young siblings finding their father's burnt corpse in the ruins and cremating him. They didn't have enough firewood, and their father ended up half-burnt. They ran away after seeing the brain tissue oozing out, and that became their final farewell.
I can never forget those stories I heard as a child, and even now, they still bring pain and suffering, making my hands tremble and tears flow.
I wonder how my grandpa, who ran away from that father's brain tissue, could expose his unimaginable trauma and everlasting scars to the world.
Now, I feel like I understand a little.
Even someone like me, who experienced such unimaginable trauma, has gone through pain that I can't even imagine being compared to being discarded, forgotten, and ignored. Compared to what those people experienced, my suffering means nothing.
My trembling hands and the palpitations and dizziness I experienced are nothing compared to the tremendous pain that many others went through.
Memories fade irreversibly every time they pass through people's lips. The memories that I couldn't bear to be forgotten are almost forgotten now.
The unimaginable pain that existed 78 years ago has mostly disappeared, and we can no longer pass it on.
The people who suffered the most from the atomic bomb perished in the ruins, rotting away without being able to convey it to anyone.
Even those who saw it with their own eyes mostly took the memories with them to their graves. Most of them are now under the tombstones.
Compared to the words of the elderly, my words seem so light. I think that speaking with such light words would be better than keeping silent, as silence has led to this result.
I feel like I might occasionally choose to stop imagining the unimaginable pain and consume the suffering of others in an amusing way to live on.
Before I forget the pain and suffering of those elderly people, whose faces and voices I can no longer recall, I will leave this here.