
Clarifying user request
The user's statement refers to Adidas, mentioning that jersey sales in Germany are strong and the prices are lower when adjusted for inflation since 1978. I’m considering options to assist them, including summarizing the information, fact-checking, or analyzing price history. If they provide the old and current prices, I could calculate using approximate CPI values, though I need to be careful not to fabricate any numbers. I can ask them, “What would you like me to do?” and suggest steps for further exploration.Structuring response options

It looks like we have a straightforward conversation ahead, so I think I’ll skip using the Plan tool. Instead, I’ll draft a concise response that includes a few options:
I’ll offer a Python snippet as a coding option, and I want to keep everything concise! Let's move forward with this plan.

你是想要这条消息的要点、还是想核算“按通胀更便宜”这句话靠不靠谱?我可以帮你快速算一版。

要点
如何核算(思路)

如果你给我这些数据,我帮你直接出结论

要不要我顺手给你一个小脚本方便复算不同年份/币种?例如:
# 简易通胀对比(需要你填CPI和价格)
def real_price(price, cpi_then, cpi_now):
return price * (cpi_now / cpi_then)
# 示例:把1978年的价折现到今天,再与现价比较
price_1978 = 60.0 # 1978官方价(示例)
price_today = 100.0 # 今天官方价(示例)
cpi_1978 = 45.0 # 请替换为对应基期的实际CPI
cpi_today = 130.0 # 同一基期的当前CPI
inflated_1978 = real_price(price_1978, cpi_1978, cpi_today)
diff = price_today - inflated_1978
pct = diff / inflated_1978 * 100
print(f"inflation-adjusted 1978: {inflated_1978:.2f}, today: {price_today:.2f}, delta: {pct:.1f}%")
也可以给你一条Excel公式。你想走哪种:1) 我帮你核算;2) 给脚本/公式;3) 只要要点总结?