You are now a sqlite data analyst, and you are given a database schema as follows:

    【Schema】
    【DB_ID】 student_club
【Schema】
# Table: major
[
(major_id:TEXT, Primary Key, Examples: [rec06DF6vZ1CyPKpc, rec09LedkREyskCNv, rec0Eanv576RhQllI]),
(major_name:TEXT, Examples: [Outdoor Product Design and Development]),
(department:TEXT),
(college:TEXT, Examples: [College of Agriculture and Applied Sciences])
]
# Table: budget
[
(budget_id:TEXT, Primary Key, Examples: [rec0QmEc3cSQFQ6V2, rec1bG6HSft7XIvTP, rec1z6ISJU2HdIsVm]),
(category:TEXT, Examples: [Advertisement, Food, Speaker Gifts]),
(spent:REAL, Examples: [67.81, 121.14, 20.2]),
(remaining:REAL, Examples: [7.19, 28.86, -0.199999999999999]),
(amount:INTEGER, Examples: [75, 150, 20]),
(event_status:TEXT, Examples: [Closed, Open, Planning]),
(link_to_event:TEXT, Examples: [recI43CzsZ0Q625ma, recggMW2eyCYceNcy, recJ4Witp9tpjaugn])
]
# Table: member
[
(member_id:TEXT, Primary Key, Examples: [rec1x5zBFIqoOuPW8, rec280Sk7o31iG0Tx, rec28ORZgcm1dtqBZ]),
(first_name:TEXT, Examples: [Angela, Grant, Luisa]),
(last_name:TEXT, Examples: [Sanders, Gilmour, Guidi]),
(email:TEXT),
(position:TEXT, Examples: [Member, Inactive, President]),
(t_shirt_size:TEXT, Examples: [Medium, X-Large, Large]),
(phone:TEXT, Examples: [(651) 928-4507, 403-555-1310, 442-555-5882]),
(zip:INTEGER, Examples: [55108, 29440, 10002]),
(link_to_major:TEXT, Examples: [recxK3MHQFbR9J5uO, rec7BxKpjJ7bNph3O, recdIBgeU38UbV2sy])
]
# Table: zip_code
[
(zip_code:INTEGER, Primary Key, Examples: [501, 544, 601]),
(type:TEXT, Examples: [Unique, Standard, PO Box]),
(city:TEXT, Examples: [Holtsville, Adjuntas, Aguada]),
(county:TEXT, Examples: [Suffolk County, Adjuntas Municipio, Aguada Municipio]),
(state:TEXT, Examples: [New York, Puerto Rico, Massachusetts]),
(short_state:TEXT, Examples: [NY, PR, MA])
]
# Table: income
[
(income_id:TEXT, Primary Key, Examples: [rec0s9ZrO15zhzUeE, rec7f5XMQZexgtQJo, rec8BUJa8GXUjiglg]),
(date_received:TEXT, Examples: [2019-10-17, 2019-09-04, 2019-10-08]),
(amount:INTEGER, Examples: [50, 200, 3000]),
(source:TEXT, Examples: [Dues, Fundraising, School Appropration]),
(notes:TEXT),
(link_to_member:TEXT, Examples: [reccW7q1KkhSKZsea, recTjHY5xXhvkCdVT, recUdRhbhcEO1Hk5r])
]
# Table: attendance
[
(link_to_event:TEXT, Primary Key, Examples: [rec2N69DMcrqN9PJC, rec5XDvJLyxDsGZWc, recEVTik3MlqbvLFi]),
(link_to_member:TEXT, Primary Key, Examples: [recD078PnS3x2doBe, recP6DJPyi5donvXL, rec28ORZgcm1dtqBZ])
]
# Table: expense
[
(expense_id:TEXT, Primary Key, Examples: [rec017x6R3hQqkLAo, rec1nIjoZKTYayqZ6, rec1oMgNFt7Y0G40x]),
(expense_description:TEXT, Examples: [Post Cards, Posters, Water, Cookies, Pizza]),
(expense_date:TEXT, Examples: [2019-08-20, 2019-10-08, 2019-09-10]),
(cost:REAL, Examples: [122.06, 20.2, 51.81]),
(approved:TEXT, Examples: [true]),
(link_to_member:TEXT, Examples: [rec4BLdZHS2Blfp4v, recro8T1MPMwRadVH, recD078PnS3x2doBe]),
(link_to_budget:TEXT, Examples: [recvKTAWAFKkVNnXQ, recy8KY5bUdzF81vv, recwXIiKoBMjXJsGZ])
]
# Table: event
[
(event_id:TEXT, Primary Key, Examples: [rec0Si5cQ4rJRVzd6, rec0akZnLLpGUloLH, rec0dZPcWXF0QjNnE]),
(event_name:TEXT, Examples: [March Meeting]),
(event_date:TEXT, Examples: [2020-03-10T12:00:00, 2020-01-14T09:30:00, 2019-11-24T09:00:00]),
(type:TEXT, Examples: [Meeting, Election, Game]),
(notes:TEXT),
(location:TEXT, Examples: [MU 215]),
(status:TEXT, Examples: [Open, Planning, Closed])
]
【Foreign keys】
budget.link_to_event=event.event_id
member.link_to_major=major.major_id
member.zip=zip_code.zip_code
income.link_to_member=member.member_id
attendance.link_to_event=event.event_id
attendance.link_to_member=member.member_id
expense.link_to_budget=budget.budget_id
expense.link_to_member=member.member_id

    【Question】
    Among the members who incurred expenses in more than one event, who paid the most amount? paid the most amount refers to for expense incurred in more than one event refers to MAX(cost where COUNT(event_id) > 1)

    【Evidence】
    paid the most amount refers to for expense incurred in more than one event refers to MAX(cost where COUNT(event_id) > 1)

    Please read and understand the database schema carefully, and generate an executable SQL based on the user's question and evidence. 

SQL: SELECT T2.member_id FROM expense AS T1 INNER JOIN member AS T2 ON T1.link_to_member = T2.member_id INNER JOIN budget AS T3 ON T1.link_to_budget = T3.budget_id INNER JOIN event AS T4 ON T3.link_to_event = T4.event_id GROUP BY T2.member_id HAVING COUNT(DISTINCT T4.event_id) > 1 ORDER BY SUM(T1.cost) DESC LIMIT 1